Coping Skills and Self-efficacy as Predictors of Gymnastic Performance

### Abstract
The purpose of this study was to examine the way that gymnastic performance can be discriminated based on psychological skills and self-efficacy. The sample of the study was 101 gymnasts (Mage = 11.8 ±­.74 years, 22 male and 79 female), who competed at the Hellenic Championship of Rhythmic Gymnastics and the Hellenic Championship of Artistic Gymnastics. Each completed a Self-efficacy scale one day prior to the competition and the Athletic Coping Skill Inventory – 28 immediately following the event. All subscales of the ACSI-28 showed adequate internal consistency (α>.64). A discriminant function analysis suggested that the predictors for distinguishing between poor and high level performance were: Coping with adversity (F=9.3, p<.01); Goal Setting/mental preparation (F=8.58, p<.005); Confidence (F=8.81, p<.005); Freedom from Worry (F=4.83, p<.05); Coachability (F=6.81, p<.01); and Self-efficacy (F=18.9, p<.001). The results indicated that best performance was achieved by those gymnasts who believed they could relax and compete with enthusiasm and certainty, set goals and prepare themselves for the competition, did not worry excessively about their performance, and showed confidence they could perform at a high level. According to the findings of this study, ability alone must not be the only concern of coaches. They also need to enhance certain psychological skills of their gymnasts at an early age, in order for them to have successful outcomes in a competition. More specifically, gymnasts need to learn how to cope with adversity and free themselves from worry, how to use goal setting techniques and prepare themselves for the competition, and how to improve their self-efficacy and confidence.

**Key words:** coping skills, self-efficacy, artistic and rhythmic gymnastics

### Introduction

Competitive sports place very high demands on athletes in terms of physical and psychological performance. Athletes are called to withstand significant stress both during competition and daily training, all from the very young starting age required by sports at a high level. Furthermore, elite gymnasts were found to exhibit very high anxiety levels in comparison to similarly skilled athletes in other sports (12).

According to Fitzpatrick (4) the most commonly reported attributes distinguishing between high and low levels of gymnastic performance were psychological factors, in contrast with the general belief that successful performance is mainly influenced by ability (29). Thus, the psychological skills of gymnasts can influence their capability to perform successfully in a competition. These coping skills refer to the cognitive and behavioral efforts to overcome, reduce or tolerate internal and/or external demands caused by a stressful situation. Coping with stress is not directly related to the final outcome of the effort. This means that coping is defined by the efforts to control the challenge of a situation, regardless of an athlete’s success (5).

The most widely used instrument for measuring athletes’ coping skills in gymnastics is the Athletic Coping Skill Inventory – 28 (23). ACSI-28 measures seven factors: Coping with adversity, Peaking under pressure, Goal setting and mental preparation, Concentration, Freedom from worry, Confidence and achievement motivation, and Coachability.

It has been shown that the psychological characteristics measured by the ASCI-28 are closely linked to performance in sports such as professional baseball (22, 10), golf (2), basketball (6, 8), swimming (19) and gymnastics (28). Specifically, Waples’ (28) study on gymnastics focused on athletes 10-18 years old, of different competition levels (7 to 11 according to the USAG level format). The specific competition level of each athlete was determined by skill level, training age, competitiveness and overall time and training commitment to the sport. The results of this study supported the hypothesis that psychological differences exist between elite athletes and non-elite athletes. Significant differences were shown mainly for the Coping with adversity, Goal setting and mental preparation, Concentration, and Confidence and achievement motivation subscales.

It has been also demonstrated that, in relation to young athletes, the support offered by their coaches and fellow athletes plays a very important role in coping effectively with stress (16). In this respect the ways in which children and teenagers deal with stress are influenced by the feedback and the behavior of parents, trainers and others. When a child enters puberty the importance placed on “wins” increases substantially. This in turn amplifies the feeling of being “pressured to perform”, a feeling which is carried over into puberty and adulthood. Vaillant (27) stated that the particular way in which someone deals with stress is developed during puberty and becomes entrenched during adult life. It is therefore important to initiate coping skills development regimes and programs for competitive sports at an early age. Such programs, according to Vaillant (27), should begin during childhood or puberty.

It is thus necessary to examine the coping skills and methods of young athletes in order to evaluate the effect of these methods on their performance. This in turn might allow for the more effective learning and actual use of such stress coping methods by athletes of this particular age group.

Lee (13) suggested that self-efficacy is a good indicator of final performance, in fact more so than previous performance. The term is used to describe one’s perception that he or she can perform successfully in a specific manner in order to achieve a goal or task. Bandura’s theory of self-efficacy (1) examines the influence of personal belief on the actual capability to perform, with final performance being affected by two parameters: a) the strength of a person’s belief in his or her ability to perform a certain task; and b) the presence of an accepting and responsive environment (14).

The effect of self-efficacy on performance has been further examined in a series of research projects. It has been used to predict to a significant degree the actual performance in football (17), serving in tennis (25), darts (11), basketball free-throws (9), and gymnastics (13). According to Lee (13) the performance of female artistic gymnasts has been shown to vary according to self-efficacy expectations. Weiss, Wiese and Klint (30) have demonstrated that artistic gymnasts with higher expectations of final achievement before a tournament tended to be more successful than gymnasts with low expectations of success.

Locke and Latham (15) declare that self-efficacy, together with other factors such as ability and commitment towards a goal, can positively influence performance. Additional research suggests that self-efficacy is a predictor of both motivation and performance regardless of the skill (21) or the level at which it was performed (18).

The purpose of this study was to examine the way that performance can be discriminated based on psychological skills and self-efficacy of young gymnasts.

### Method

#### Participants

One hundred sixty-one athletes of Rhythmic and Artistic Gymnastics had competed at the Hellenic Championship of Rhythmic Gymnastics and the Hellenic Championship of Artistic Gymnastics, respectively. Out of this population, 132 athletes completed a Self-efficacy scale one day prior to the competition and the Athletic Coping Skill Inventory – 28 immediately following the event. The researchers ended up with 101 (Mage = 11.8 ±­.74 years) usable questionnaires (31 athletes were excluded from the analysis due to incomplete questionnaires). The sample of the study consisted of 22 male (artistic gymnastics) and 79 female (artistic and rhythmic gymnastics) athletes.

In order to participate in these Championships, an athlete had to achieve a mean score of at least seven out of ten (mid to high level performance) in the apparatuses involved at the preliminary competition of each Championship held throughout Greece.

#### Apparatus

##### Self-efficacy scale

The scale evaluates the athlete’s perception of self-efficacy on all-around performance. The athletes were asked to respond to the following three questions: “How certain are you of performing your best?”; “How certain are you of being among the eight best on the all-around performance?”; “How certain are you of being among the three best on the all-around performance?” The items were measured on a ten-point Likert scale (1 = not at all certain to 10 = completely certain).

##### Athletic Coping Skill Inventory – 28

This is the version of ACSI-28 (23) adjusted to the Greek language (6). It consists of 28 items that measure seven factors:

1. Coping with Adversity: “I remain positive and enthusiastic during competition, no matter how badly things are going.”
2. Peaking under Pressure: “I tend to perform better under pressure because I think more clearly.”
3. Goal Setting/ Mental Preparation: “On a daily or weekly basis, I set very specific goals for myself that guide what I do.”
4. Concentration: “When I am doing gymnastics, I can focus my attention and block out distractions.”
5. Freedom from Worry: “I worry quite a bit about what others think about my performance.”
6. Confidence/ Achievement Motivation: “I get the most out of my talent and skills.”
7. Coachability: “When a coach criticizes me, I become upset rather than helped.”

The answers were given on a six-point Likert scale (1= never to 6 = always).

For the needs of this study, the ACSI-28 has been adjusted for 11- to 14-year-olds and evaluated on a preliminary study (3).

##### Performance Evaluation

Performance was measured according to the final scores achieved by the athletes during the Hellenic Championship of Rhythmic Gymnastics and the Hellenic Championship of Artistic Gymnastics. For the purpose of the study, two performance groups were created: poor (n=41) and high (n=60), according to the Hellenic Gymnastics Federation’s recommendation.

#### Procedure

One day prior to the competition athletes completed the self-efficacy scale, and immediately following the competition they completed the ACSI-28. Performance evaluation was taken from the archives of the Hellenic Gymnastics Federation.

#### Statistical Analysis of Data

The collected data were analyzed using SPSS version 15.0 for Windows (24). A Direct Discriminant Function Analysis was used in analyzing results.

### Results

The internal consistency of ACSI-28 and self-efficacy were examined with the use of the Cronbach coefficient α (Table 1). All subscales showed adequate internal consistency (Coping with adversity α=.70; Peaking under pressure α=.64; Goal Setting/mental preparation α=.79; Concentration/achievement motivation α=.72; Freedom from worry α=.65; Confidence α=.65; Coachability α=.82).

#### Discriminant Function Analysis

In order to evaluate the discriminatory power of each coping skill and self-efficacy, a direct discriminant function analysis was performed. The function significantly discriminated between the two levels of performance (Canonical R = .52, Eigenvalue = .38) (Table 3). The loading matrix of the correlations suggested that the predictors for distinguishing between poor and high level performance were Coping with adversity (F=9.3, p<.01); Goal Setting/mental preparation (F=8.58, p<.005); Confidence (F=8.81, p<.005); Freedom from Worry (F=4.83, p<.05); Coachability (F=6.81, p<.01); and Self-efficacy (F=18.9, p<.001). The best predictors of performance were Coping with adversity, Goal setting/mental preparation, Confidence and Self-efficacy.

### Discussion

Coping skills combined with self-efficacy were found to be a powerful indicator of performance. Most of the coping skills were found to predict the level of performance. More specifically, athletes with high performance scores (>75% of maximum performance) also had higher scores of Coping with adversity, Goal setting/mental preparation, Confidence/achievement motivation, Freedom from Worry, Coachability and Self-efficacy than athletes with low performance scores (<75% of maximum performance). Best performance was achieved by athletes who believed they could control themselves in stressful situations by relaxing and competing with enthusiasm and certainty, without worrying about their performance. They set goals and prepared themselves for the competition, listened to their coaches’ instructions and felt certain they could perform at their best. The results of this study were consistent with previous findings for Coping with adversity (28), goal setting techniques (20,28) and Confidence /Achievement motivation (2,28).

Not unexpectedly, athletes with low levels of control over a stressful situation, who didn’t set goals, got angry with their coaches’ instruction and did not believe they could be among the best athletes of the competition, performed poorly. These findings are consistent with previous studies, where gymnasts, in a wider range of age group and level of sport competition (2-12 years of gymnastics participation), with higher anxiety and lower ability to cope with adversity, were more likely to discontinue training (7). The findings also agree with Unestahl’s (26) suggestions that gymnasts with better inner mental training show higher level of competence.

The results of this study strengthen the accepted notion that ability alone is not the most important cause of successful outcomes (29). This has also been demonstrated in the past in gymnastics as well (4).

In contrast to much of the pre-existing research, which centered mainly on adult Greek populations, this study was carried out using a sample of male and female athletes of a younger age (11-14 years). It is thus necessary to further test and evaluate a number of additional important hypotheses in different sports in order to allow us to reach conclusions that can be generalized effectively. Doing so could, in turn, lead to a more systematic psychological intervention effort in these age groups with the ultimate goal being the prevention of negative effects in performance.

### Conclusions

The present study provides adequate evidence of the importance of coping skills and self-efficacy on gymnastic performance. According to previous studies, various psychological skills can influence performance. The findings of this study indicate that the most important psychological skills for gymnastic performance are Coping with adversity, Goal setting, Confidence, Freedom from Worry, Coachability and Self-efficacy.

### Applications in Sport

According to the findings of the present study, several suggestions can be made for the enhancement of athletic performance of young gymnasts. Coaches need to enhance certain psychological skills in their gymnasts at early ages, in order for them to have successful outcomes in a competition. Gymnasts need to learn how to cope with adversity and free themselves from worry. It is also important to use goal- setting techniques, and to prepare mentally for the competition. Furthermore, they need to improve their self-efficacy and confidence. This entails learning to control their emotions in stressful situations, relaxing and competing with enthusiasm, even when poor athletic performance occurs. Athletes also need to learn to set goals effectively, a tool which has proven useful in competitive situations, and to believe in their ability to perform successfully in competitions.

### Tables

#### Table 1
Mean Scores and Standard Deviations on Coping Skills, Self-efficacy and Performance

M SD
Coping with adversity 4.25 1.05
Peaking under pressure 3.63 1.03
Goal setting / mental preparation 4.76 1.03
Concentration / achievement motivation 4.92 0.97
Confidence 4.82 0.86
Freedom from worry 3.57 0.99
Coachability 4.97 1.08
Self-efficacy 6.73 2.84
Performance 7.18 1.32

#### Table 2
Direct Discriminant Function Analysis for Coping skills and Self-efficacy as predictors of Gymnastic Performance

Predictors Correlations of predictors with discriminant function Univariate F (1.99) p
Coping with Adversity 0.498 9.3 0.005
Goal Setting/ Mental Preparation 0.478 8.6 0.005
Confidence 0.485 8.8 0.005
Freedom from Worry -0.359 4.8 0.05
Coachability 0.426 6.8 0.01
Self-efficacy 0.712 19 0.001

Canonical R = .52, Eigenvalue = .38

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### Corresponding Author

**Garifallia, Daroglou**
Department of Physical Education and Sport Science, Aristotelian University of Thessaloniki
54006, Thessaloniki, Greece
<filio@phed.auth.gr>
+302310992225, +306977293221

2013-11-25T16:37:34-06:00January 19th, 2011|Sports Exercise Science, Sports Management, Sports Studies and Sports Psychology|Comments Off on Coping Skills and Self-efficacy as Predictors of Gymnastic Performance

An Examination of Idaho High School Football Coaches’ General Understanding of Concussion

### Abstract

While the underreporting of concussions to high school football players has been previously documented through an investigation of the general understanding of football players, no studies to date have looked at high school football coaches’ general understanding of concussion. This study was conducted in 2006 with a dual purpose of examining the Idaho high school football coaches’ general understanding of concussion and determining whether or not those coaches were consistent with experts’ recommendations in concussion management, including the determination of the appropriate time for return to play. Questionnaires were sent to all Idaho high school head football coaches (n=128) of which 60% (n=77) responded. Data showed the consistency, or lack thereof, of concussion management and return to play, relative to published expert guidelines. Upon analysis it was clear that these coaches’ practices were not consistent with expert recommendations regarding identifying and managing concussion. Many coaches were unfamiliar with the signs and symptoms of concussion, and were especially naïve when it came to identifying instances of mild concussion, including “bell ringers” and “dings”. There was also a lack of awareness about objective tools related to return-to-play decision making. Coaches who had access to athletic trainers managed concussion more consistently. Across all levels, but especially in smaller schools, there was a lack of concussion education afforded to coaches.

**Keywords:** concussion, coaches, high school, football, education

### Introduction

An estimated 300,000 sport-related concussions occur annually in the United States, with high school football players suffering more than 64,000 of those injuries (4, 12, 29). These are the known cases. Thousands more are believed to go unreported (5,16, 29). A concussion is defined as, “any transient neurological dysfunction resulting from a biomechanical force that may of may not result in a loss of consciousness” (8, p. 228). Unlike a cut, a scrape, or a broken leg, concussive injuries are rarely visually obvious. What makes concussive injuries even more complicated is the fact that concussion is a functional injury, not a structural one, meaning it will affect neurocognitive performance but not necessarily show up on MRI or CT scans (5,6,31). This could contribute to the lack of concussion diagnosis or to the belief that concussion does not necessitate conservative treatment if structural damage is not found. In 1990, Dr. M. Goldstein (9) referred to concussion as “a silent epidemic” (p. 327). Unfortunately, nearly two decades later, Goldstein’s warning still sends shockwaves, as young athletes die from sport-induced concussions (1,13,25). Leading experts agree that high school athletes have a significantly greater risk of sustaining a concussion, and that those concussions take longer to heal when compared with concussions sustained by college-aged athletes (6,7). There are many potential reasons for this, but most researchers agree that the younger brain is more vulnerable because it is not fully developed (11,17). Furthermore, many concussions sustained by younger athletes go unreported because youth sport coaches, leaders, parents and even athletes themselves do not fully understand what concussion is or that it has occurred (6,16). Experts agree, even so-called “bell ringers” and “dings” require medical attention and should be considered concussive injuries (17,31). When such momentary states of disorientation or dizziness are ignored, an additional threat is posed in the form of Second Impact Syndrome, or SIS (1,13,22). SIS may occur when an athlete sustains a second concussion before the symptoms of the first have healed (1). Though rare, SIS is characterized by rapid swelling of the brain and may be fatal (2). SIS is most often associated with adolescent athletes, perhaps because of the sensitivity of their developing brains, and because the seriousness of the first concussion is often overlooked (1,5,13,22,28).

While the national spotlight illuminates instances of deaths that occur from sport-related concussion, there still remains the need to educate sport leaders on ways to protect the athletes who compete (21). The Centers for Disease Control and Prevention (3) offer a free toolkit, Heads Up: Concussion in High School Sports that is available to coaches at no charge. In addition, the National Athletic Trainers’ Association (NATA) and its Appropriate Medical Care for Secondary School-Aged Athletes Task Force (AMCSSAA) have made several recommendations (11). Among them are that every high school in the United States develop and implement a comprehensive athletic health care administrative system. Athletic trainers and physicians are critical components of that system (11,16).

Recognizing a lack of athletic trainers in Idaho’s secondary school setting and especially in the rural school environment, a study was conducted in 2006 with the dual purpose of examining the Idaho high school football coaches’ general understanding of concussion, and determining whether or not those coaches were consistent with experts’ recommendations when it came to managing concussion and determining the appropriate time for return to play following concussion. The findings make clearer the need for proper concussion management in high schools, including the need for athletic trainers and continuing education for coaches. Understanding the characteristics of concussion and recognizing the unavailability of athletic trainers, the following research questions guided this investigation:

1. Who was the person most often called upon to identify and manage concussive injury in Idaho’s high school football programs?
2. What is the Idaho high school football coaches’ general understanding of current research on concussion characteristics, evaluation and management?
3. Relative to published expert recommendations, how consistently did Idaho high school football coaches determine when it was safe to return concussed athletes to play?
4. What, if any, continuing education opportunities have been made available to Idaho high school football coaches in the area of concussion management?

### Methods

#### Participants

The participants consisted of 128 Idaho high schools fielding a high school football program. All head football coaches were invited to participate in the study (N=128) via postcards and e-mails, with contact information obtained through the directory of the Idaho High School Activities Association (IHSAA).

#### Instrumentation

This study involved the use of two instruments. The primary instrument was a questionnaire entitled *Profiles and Perceptions of Idaho High School Football Coaches*. This instrument was developed by the researchers to address the research questions, and employed a forced choice response format, supplemented by two open-ended questions. Once drafted, the questionnaire was subjected to expert review with two of the nation’s leading experts on concussion research and six athletic trainers from the Idaho Athletic Trainers’ Association.

The secondary instrument was *The Concussion Management and Return to Play Protocol*. This instrument employed a semi-structure interview protocol and focused on research questions two and three. Like the questionnaire, it was subjected to expert review as described above. The interview protocol was engaged in person with a small, purposive sample of high school football coaches (n=10). The interview questions were phrased to solicit responses that explained the coaches’ behaviors when it came to managing concussion and determining when it was safe to return an athlete to play.

#### Procedures

Institutional review board approval was obtained from Idaho State University before the study began. In mid-September of 2005, all Idaho head high school football coaches were invited to participate via a mailed postcard. The postcard summarized the study purpose and alerted the coaches that a survey packet would arrive the following week. At the same time, Idaho high school principals and athletic directors were informed about the study via an e-mail blast. Administrators were asked to encourage their coaches to participate. The following week the survey packets were mailed. The packets included an introductory letter, a copy of the primary instrument, and a postage-paid, self-addressed return envelope. Coaches were instructed to complete the questionnaire within a two-week time period. The following week, an email reminder was sent to both the coaches and athletic directors. Informed consent was implied upon completion and return of the questionnaire.

Interviews were conducted approximately 6 weeks after the return of the questionnaires. This time frame was chosen because it coincided with the state high school football playoffs and there was good accessibility to a purposive sample of coaches. The interviews were audiotaped and lasted between 10 to 45 minutes. Recorded interviews were transcribed verbatim and interviewees were sent the transcripts with a request to check for response accuracy. Because of convenience, electronic mail transmission was the preferred method for these communications. Coaches were encouraged to make necessary corrections and/or add additional comments. To ensure confidentiality, final verbatim transcripts were coded, and referenced in the study by those codes.

#### Data Analysis

For the primary instrument, data were analyzed using basic descriptive statistics. The data were also stratified according to athletic classification level (i.e., school size). Narrative data from the two open-ended questions, “In the space below, please describe any other signs or symptoms that you would expect to be a sign or symptom of concussion that are not listed above” and “Please use the space provided below to make comments/suggestions that could benefit you as a coach in recognizing the signs and symptoms of head injuries in sports” were reviewed and read noting common themes.

As Yin (33) pointed out, it is necessary to go beyond the simple collection of descriptive data and begin the complex procedure of analyzing behavioral characteristics. Therefore, it was deemed important to also consider the behaviors that guided the coaches’ decision-making processes. When reviewing the interview transcripts, processes of open and axial coding were used to help with pattern analysis (27). Open coding was the first step toward distinguishing “properties” and “dimensions” in the data (27, p. 102). Themes and subthemes emerged that helped to explain the coaches’ patterns of behavior. Special attention was directed to repeated words and phrases, and to the chronological behaviors of the coaches. We first identified these themes and subthemes and later their presence in the data was confirmed by a data analysis focus group consisting of athletic trainers from the Idaho Athletic Trainers’ Association. Focus group members were instructed to separate narrative data into their own major themes and subthemes. The focus group’s thematic analyses were then compared to the thematic analysis derived by the researchers. Finally, through discussion between the researchers and focus group members, the agreed-upon thematic constructs were narrowed and confirmed (see Table 1).

### Results

Study findings are reported first regarding respondent/interviewee demographics, then by questionnaire areas of inquiry. Specifically these areas of inquiry include: person(s) responsible for concussion identification and management, coaches’ understanding of concussion identification and management, return to play decision-making, coaches’ continuing education relative to concussion identification and management, and findings reviewed relative to school size.

#### Demographics

Of the 128 coaches invited to participate in the study, 77 responded, resulting in a 60.1% response rate. The responses represented all five Idaho high school athletic classification levels. All participating coaches confirmed they were the head varsity football coach at their school. Descriptive data related to participant demographics appear in Table 2. Of the responding coaches, 93.3% (n=70) stated they had taken a basic or advanced first aid course through the American Red Cross (ARC) or the American Heart Association (AHA), and 94.7% (n=71) stated they had taken a CPR course through one of the same organizations. Nearly 88% of the coaches (n=65) also mentioned they had received formal training in sports injury prevention at some time in their past. While 89% (n=66) of coaches could identify formalized educational training in sport-specific issues (such as tackling), only 42% (n=31) stated they had also received formal training in football equipment fitting (see Table 2).

#### Person(s) Responsible for Concussion Identification and Management

To better understand who identifies and manages concussion in Idaho high school football programs, the questionnaire asked the coaches to clarify the person(s) primarily responsible for evaluating sports related head injuries including concussion. Only 35.9% (n=23) acknowledged having an athletic trainer at their disposal regularly for practices and games. Coaches were asked, “When an athlete on your team sustains a head injury or suspected concussion, what is the title of the person who is most often called upon to evaluate the injury?” Understanding that some teams might have medical personnel on hand for game settings but not for practices, coaches were asked to clarify any differences that might exist between practice and game situations. Figure 1 depicts the summary of the coaches’ responses, and reveals the distribution of responsibility when it comes to evaluation of concussion (see Figure 1).

To better understand return to play practices, coaches were also asked, “When an athlete on your team sustains a head injury or suspected concussion, what is the title of the person who is most often called upon to determine when it is safe to return the athlete to play?” Again, responses were specific to practice and game situations. Figure 2 displays these responses, and shows the distribution of responsibility when it comes to determining return to play (see Figure 2).

#### Coaches’ General Understanding of Concussion Identification and Management

Despite the fact that an overwhelming majority of coaches had previously taken first aid or sports injury management courses, most Idaho high school football coaches felt they were unprepared to manage concussion inherent in football. 76.7% (n=56) of participants stated they did not feel they had been adequately trained in this area. Participants were also asked whether or not the risk of concussion in the sport of football concerned them. Overwhelmingly, 94.2% (n=65) of coaches said the risk of concussion in football did concern them.

Coaches acknowledged their job duties extend beyond schematics. 86.3% (n=63) of coaches felt they had a responsibility to be able to recognize the signs and symptoms of concussion and to know how to tell when it is safe to return an athlete to play. However, when participants were asked to identify what they felt those signs and symptoms of concussion were given a list, there seemed to be some confusion. While common signs and symptoms such as headache and disorientation were widely recognized, the majority of coaches did not understand that less-common symptoms, such as difficulty breathing and insomnia, are indicative of concussion, as well. Only 32% (n=24) of participants felt difficulty breathing could be associated with concussion, and 29% (n=22) understood insomnia to be connected to concussion. Other notable signs and symptoms of concussion were also mistaken, including sensitivity to noise (47%, n=35) and sensitivity to light (69%, n=52). Table 3 displays coaches’ responses when asked to identify whether or not a certain sign or symptom could be indicative of concussion. Experts have agreed that all of these signs and symptoms are consistent with concussion (11,17). It was important to note that 97.3% (n=73) of the participants understood that a concussion is not always accompanied by a loss of consciousness. These data may help to dispel the myth that concussion is only associated with a loss of consciousness (see Table 3).

Interview data were grouped according to observations regarding (a) physical signs and symptoms, (b) mental status, and (c) kinesthetic awareness. When asked, “How do you know when a concussion is sustained? Describe the first thing you look for,” nearly all of the coaches said the athlete’s eyes, specifically, “the pupils of the eye” (C7, C10) were the primary focal point. C2’s methods were more unique. Replying that he had been “trained real good” in a “five-minute training”, C2 described his process:

> The only way I’ve been taught is to look at his eyes… to have him shut his eyes and stay real still and if he opens his eyes and his pupils dilate, then he probably doesn’t have a head injury.

Some coaches did not seem to understand the potential seriousness of those concussions that do not result in a loss of consciousness, especially mild (Grade 1) concussions. “Bell ringers” were often not identified as concussions. Participants were asked to respond to a scenario and decide whether or not they felt a player who was “hit hard, feels dazed and confused for just a few minutes (sometimes referred to as ‘getting his bell rung’), but who is able to walk back to the huddle on his own” had suffered a concussion. 57.6% (n=38) felt that the player had sustained a concussion while 42.4% (n=28) felt that the player had not sustained a concussion. Seven participants either did not answer the question or commented that they were unsure. Concussion researchers agree that getting one’s bell rung is characteristic of mild concussion. However, it is often dismissed (11,17). At least one coach acknowledged his uncertainty:

> In my opinion and experience as a player and a coach, every player experiences at least one of the symptoms … at least once a game and practice. Where to draw the line between a real head injury and getting your bell rung is tough. (C15)

#### Return to Play Decision-making

As stated, many coaches acknowledged a duty to determine when it was safe to allow a concussed athlete to return to activity. An additional set of questions in the questionnaire sought to detect whether or not Idaho high school football coaches felt the seriousness of a concussion, formerly referred to as a grade, played a role in allowing an athlete to continue play. When asked if a player who had sustained a Grade 1, or mild, concussion should be immediately removed from a game or practice, 57.3% (n=43) said yes. 34.7% (n=26) said no, and 8.0% (n=6) stated that they did not know. When asked if a player who had sustained a Grade 2, or moderate, concussion should be immediately removed from the game or practice, 88.0% (n=66) said yes, 6.7% (n=5) said no, and 5.3% (n=4) said they did not know. When asked if a player who had sustained a Grade 3, or severe, concussion should be immediately removed from the game or practice, 94.6% (n=70) of coaches said he should, 4.1% (n=3) said he should not, and 1.4% (n=1) said he did not know. Clearly, these coaches were aware that as concussion grade increased, play/participation should be discontinued.

The coaches’ methods for determining return to play were further explored through the interviews. Responses were grouped according to those that typically make referrals to physicians and/or athletic trainers, and those that do not. Coaches who stated they had athletic trainers at their disposal said they are not involved in the decision-making process. When asked, “How do you decide when it is safe to allow an athlete with a concussion to go back into the game?” C3 abruptly responded, “We don’t decide. That’s decided by the team doctor and the trainer.”

Other coaches said they sometimes do not make referrals. C8 said he was hesitant to allow his athletes to be evaluated by physicians. He did not agree that bell ringers were consistent with concussion, nor did he agree that there was an added risk of playing through such an injury. C8 suggested doctors were too quick to diagnose a concussion and remove an athlete from play, thereby making his coaching job more difficult:

> I just think doctors are sometimes being so leery that if there’s any question in their mind then they say the kid’s got a concussion and shouldn’t play. They just don’t want to risk getting sued. There’s got to be a happy medium there.

Influencers were apparent when it came to return to play decision-making. While the majority of coaches said they would always keep the safety of the athlete as the primary focus, and that they would “err on the side of caution” and “sit players out” (C17), several coaches acknowledged the pressure to win or play, or pressure from parents, school administrators, and the athletes themselves, had, at some point, impacted their decisions. C8 said as a coach, his job was “to get the best players on the field” and that sitting players out for something as simple as a bell ringer “can get to the point where we side on the side of over-caution – to the point where it can get a little ridiculous.” C6 said it was “a little hard” to hold one of his better athletes out, “especially when the community recognizes how vital that player is to the team’s success.” C4 suggested he also might follow different rules for different kids. He told me, “When you’re a senior, you know how that works – you’ve been around athletics… you get a senior and he really wants to play.”

Participating coaches were largely unfamiliar with evidence-based concussion assessment tools. These were identified as symptom scale checklists, the Sideline Assessment of Concussion, and computerized neurocognitive assessments, such as ImPACT, HeadMinder and CogState. 56.8% (n=42) of coaches stated they never use concussion assessment tools. Of those who indicated they were familiar with the tools, 25.7% (n=19) said they were familiar with concussion symptom scale checklists, 9.5% (n=7) said they were familiar with the Sideline Assessment of Concussion, or SAC, and 6.8% (n=5) said they knew about computerized neurocognitive testing programs. No coaches were familiar with the Balance Error Scoring System. When asked how frequently they used these evidence-based assessment tools, only 18.9% (n=14) of those coaches who were familiar with one or more of the tools stated that they use them every time a suspected concussion was sustained, and 40% (n=12) said they learned about them from an athletic trainer. Of the eight coaches interviewed, only one described a research-based procedure for determining whether or not an athlete could return to play. This coach was at a 5A school with two athletic trainers. The athletic trainers at this school utilized the ImPACT concussion assessment tool:

> During the week if it’s not a game we hold the player out until they have taken a post concussion test and we evaluate their scores from when they were healthy to after the concussion has happened. Once they score equivalent to where they were prior to a concussion and they feel good and they’re cleared by the trainer or the doctor then they’re able to return. (C9)

#### Continuing Education

Participants were asked whether or not the school they coached at had provided them with training opportunities aimed at concussion and other sports injury management. 60% (n=45) stated that their school had not offered any additional training, while 40% (n=30) stated their school had. The majority stated they would be eager to learn more about the topic. 97.83% (n=72) said they would be more likely to use an evidence-based concussion assessment tool if it were made available to them at no cost. And, when asked whether or not they would be likely to participate in an educational program to teach them how to be more prepared to handle concussion injuries, 98.6% (n=71) said they would be.

#### Data Stratification by School Size
After initial analysis, the data were stratified to see whether or not trends existed relative to school size. As expected, there was a marked difference in the presence of athletic trainers based on school size. At Idaho’s largest (5A) high schools (more than 1280 students), an athletic trainer worked regularly with all football teams. By comparison, only 7% of Idaho’s smallest (1A) schools (less than 159 students) coaches stated that they had an athletic trainer. Table 4 displays these data and shows the presence of athletic trainers at the various athletic classifications (see Table 4).

The availability of athletic trainers at Idaho’s larger schools relieved coaches of the primary responsibility of concussion identification and management. C15 said, “I would rather my trainer do that and I just coach football.” C20 commented, “Having an athletic trainer has been a big relief on me on making decisions on head injuries.” Without athletic trainers, coaches inherited the responsibility. At the 1A level, 70.6% of coaches (n=12) said they were the ones responsible for identifying concussive injuries when they occur at practice. At the 2A level, 46.7% of coaches (n=7) assumed this responsibility, and 73.7% of 3A coaches (n=14) had the responsibility. By comparison, none of the 5A coaches who participated in this study acknowledged having responsibility for concussion identification and management. During game situations, coaches at the smaller schools acknowledged having more medical assistance to rely on. Physicians, nurses and EMTs were often available during games, even at the smaller schools. Because of their presence, just over 35% of 1A coaches (n=6) said they were the ones responsible for identifying concussive injuries in a game setting. Nearly 27% of 2A coaches (n=4) and 33% of 3A coaches (n=3) had this responsibility. All 4A and 5A coaches suggested the responsibility of managing concussion-related injuries was charged to either athletic trainers and/or team physicians during game situations. Table 5 displays these data and the differences between school classification in terms of concussion identification and management (see Table 5).

In Idaho, it was apparent that the smaller the school, the more likely the coach was the one who made return to play decisions. When asked who the primary person responsible for determining the appropriate time for an athlete who had sustained a concussion to return to play during practice situations was, 64.8% of 1A coaches (n=11) said they were. Again, no coaches at 5A schools had this responsibility. In game settings, the trend continued. Just over 47% of 1A coaches (n=8) reported being the person primarily responsible for determining return to play on game day, while no 5A coaches acknowledged this responsibility. Table 6 displays the disparities among the various school classification levels regarding determination of return to play (see Table 6).

When presented with the bell ringer scenario, only coaches from Idaho’s largest schools (5A) were consistently recognizing it as such. Table 7 reveals these data (see Table 7).
While beneficial when it came to managing concussion, the presence of athletic trainers did little to make coaches feel more prepared to handle the duty themselves. Coaches at the 4A and 5A levels who were also more consistent in their identification and management of concussion and who had athletic trainers at their disposal, admitted to being most uncomfortable with their ability in this area. Table 8 displays these findings (see Table 8).

Across all athletic classification levels, most coaches felt a compelling need for additional educational training when it came to managing concussion in their football programs. Not only did 1A schools not have appropriate or adequate medical supervision onsite at practices and games, it was also apparent that the football coaches at Idaho’s smallest high schools were not being provided with educational programs aimed at concussion and other sports injury management when compared to coaches at Idaho’s largest schools. Only 18% of 1A coaches stated that their school had provided them with training opportunities while 63% of 5A coaches were provided with educational outreach. Table 9 shows the data (see Table 9).

### Discussion

Since this study was limited to Idaho high school football coaches, its results may not be generalized to other states, however, findings may provide a snapshot that could provoke further inquiry into coaches’ qualifications and expertise in the area of concussion identification and management. This is consistent with the findings of McCrea et al., (16) who suggested continuing education of coaches is warranted. When it comes to concussion recognition, there is little room for error. A concussion disrupts the brain’s metabolism and the only thing that appears to help it heal is rest (17,30). This study brought to light the compelling need to do more when it comes to training coaches to adequately prepare for and manage concussive injuries. The findings spotlight the need for better concussion education programs for Idaho’s secondary sport coaches, especially those who coach at small schools with limited access to an athletic trainer or other medical personnel support. The findings also highlight the need for replicable studies in other states to determine educational needs of coaches in those areas.

The findings are discussed relative to: the persons responsible for concussion identification and management—accessibility of athletic trainers, understanding of concussion, return to play decision making and willingness of coaches to refer athletes, and continuing education. Continuing education implications derived from these findings are discussed in detail, specific to evaluation of concussion signs and symptoms, cognitive stability testing, bell ringer recognition and the ongoing need for additional first aid and concussion training.

#### Persons Responsible—Accessibility of Athletic Trainers

Consistently, coaches were charged with the responsibility of initial concussion identification and management. Some coaches also acknowledged having the sole responsibility of deciding when to allow a concussed athlete to return to play. National recommendations point to the need for athletic trainers to do this job (11,16,17). Despite these recommendations, athletic trainers were accessible to coaches at only 36% of Idaho’s high schools. This was below the 2008 national average of 42% (20). The scarcity of athletic trainers in Idaho’s smallest schools was expected. The best-case scenario would be for sport administrators to require onsite athletic trainers at sport practices and games that have significant catastrophic risks such as football. This study indicated concussion was managed more consistently and effectively at schools with athletic trainers. All 5A (large schools) coaches (n=7) who responded to this survey indicated that they had an athletic trainer who worked regularly with their football teams; and all of these coaches correctly identified a scenario involving a bell ringer as concussion and said their standard practice would be to withhold that athlete from play.

#### Understanding of Concussion, Return to Play Decision-making and Willingness of Coaches to Refer Athletes

Coaches should be informed that in cases where concussion is suspected, their primary role is to ensure medical referral for the athlete (11,16). The coaches in this study were inconsistent with regard to making referrals. While most stated they would always refer athletes with a recognized concussion to an athletic trainer or physician, some said they would rather manage the injury themselves. C8 and others seemed to lack an appreciation of the catastrophic risks associated with concussive injuries. In the past, coaches have been held liable for failing to provide adequate assistance to injured athlete. In numerous court cases, including Mogabgah v. Orleans Parish School Board (19), Stineman v. Fontbonne College (26), and Searles v. Trustees of St. Joseph’s College (23), coaches have been held accountable for their failure to recognize the potential severity of a sports-related injury.

#### Continuing Education and the Evaluation of Concussion Signs and Symptoms

Although the majority of the coaches had received basic first aid and CPR training or had identified taking a formal course in sports injury prevention, this training did not imply an understanding of concussion identification and management. Many of the coaches recognized the most common signs and symptoms of concussion, but they failed to recognize many of the more subtle signs and symptoms. While loss of consciousness, headache, disorientation, and memory loss were clearly connected with concussion, more subtle effects, like sensitivity to noise, and insomnia, were not. Concussion is an “individualized, complex injury, and … no particular symptom can provide definitive guidance for every patient and clinical situation” (11, p. 6). Therefore, even though athletes may demonstrate different signs and symptoms, it is important to consider all of the options (11). Even then, symptom scores should not be considered solely reliable. As expected, the coaches in this study relied on subjective measures of concussion assessment. However, responses to such questions like, ‘Do you have a headache’ and ‘Are you dizzy’ are not consistent or reliable indices of concussive injury. This is largely because athletes may be reluctant to report their symptoms for fear of not being allowed to play or because they do not think their injury is serious enough to warrant removal from play (16). A quick clearance and return to play based on subjective responses can increase athlete susceptibility for additional injury, including SIS (1,11,28). Conservative management of even mild instances of concussion is important in athletes under the age of 18, because almost all reported cases of SIS are in young athletes (1,11).

#### Cognitive and Stability Testing

While assessing symptoms is always warranted, baseline cognitive and postural-stability testing should also be considered for athletes playing sports with a high risk of concussion. Use of such functional tests can help to identify deficits caused by concussion and help protect players from potential risks involved with returning to play too quickly (11,17). This study’s findings reflect a lack of such assessment. Evaluation of symptoms should be supplemented with detailed questioning and functional tests, both of the brain and body (10,17). Guskiewicz, Ross and Marshall (10) concluded that simple processes, including concentration, working memory, immediate memory recall, and rapid visual processing have been shown to be mildly affected by concussion. Establishing baseline measurements before the season is recommended for comparison purposes (11,17). No coaches in this study said they conducted functional testing. In fact, none were even aware of the Sideline Assessment of Concussion or the Balance Error Scoring System. Both of these functional tools can be administered at little or no cost. Furthermore, only one coach who participated in the study was aware of neurocognitive testing programs such as ImPACT, another functional concussion assessment. He said he was aware of the test because he had heard about it being used with professional players.

#### Recognition of ‘Bell Ringers’ as Concussion

Study findings revealed coaches’ misconceptions that bell ringers or dings are not concussive injuries, and as such do not necessitate removal from play. The findings also demonstrated coaches’ beliefs that the terms bell ringer and ding carry a connotation that diminishes the potential seriousness of the injury (11,16,17). Nearly half of the coaches indicated they would allow the athlete who had his bell rung to continue physical activity. This lack of initial recognition and diagnoses supports the findings of McCrea, et al., (16), and the likelihood of athletes being allowed to continue to play while being symptomatic. Not only is SIS a factor when returning to play too soon, concussions can accumulate and lead to other long-term impairments. According to King (14), lasting verbal and visuospatial impairments have been directly linked to concussion, and athletes with a history of concussion can suffer for a lifetime from emotional changes including a difficulty to control their own anger. King (14) also contended that athletes with a history of concussion can also suffer permanent decreases in libido, sleep impairments, and can have difficulty adapting to social changes. Severe depression can also linger (12).

#### Need for Additional Training

While most state high school athletic associations require first aid and CPR training, those classes typically fall short of relaying information concerning sports-related concussion. Few states require the medical training of coaches to be supplemented to include concussion management. To date only Texas, Washington, Oregon, and Connecticut have made comprehensive training on the subject a mandate. In Texas, S.B. 82, or “Will’s Bill”, was signed into law and took effect in September of 2007. Washington’s “Zackery Lystedt Law” and Oregon’s “Max’s Law” were both passed in 2009. All three laws require youth and high school sport coaches to be trained in concussion management and cognizant of SIS. Washington’s law goes one step further. It requires a licensed health care provider to oversee each concussive injury and determine the appropriate time for the athlete to return to play (34). McCrea et al., (16) demonstrated the value of concussion education. Their study examined the reasons for the purported underreporting of concussions to high school football players. McCrea et al. concluded that players, like the coaches in this study, were not fully aware of what a concussion was. However, when provided with a definition of concussion and a description of injury signs and symptoms, the players more readily recognized the injury and were more likely to admit to sustaining concussion over the course of a football season.

No coaches in this study recalled a systematic, stepwise approach for returning athletes to play. Experts contend concussed athletes should not be allowed to return to play until all of the following conditions are met: (a) there was no loss of consciousness, (b) the athlete suffers from no amnesia, (c) the athlete is asymptomatic at rest, (d) the athlete is asymptomatic following exertion, and (e) the athlete passes all functional tests (11,17,24). The coaches in this study admitted there were other influences that convinced them to return concussed athletes to play prior to the resolution of symptoms. Some, perhaps refusing to accept responsibility or more concerned with winning, de-emphasized the importance of concussion management. Micheli, Glassman, and Klein (18) suggested coaches might feel the management of injury is not their responsibility. This was clearly the case among the Idaho football coaches in this study. In fact, one coach, C29, reiterated that “trainers are here to make the decisions and deal with the injuries, NOT THE HEAD COACHES [sic].” Because of this, coaches may have felt they needed to be less prepared to identify and manage concussion.

The lack of educational opportunities related to concussion identification and management could be the reason why these coaches are unfamiliar with the topic of concussion management. The lack of educational opportunities was most evident in Idaho’s more rural (smallest school) areas. The overwhelming willingness of coaches in this study to attend professional development workshops could be one solution. Coaches who participated in this study clearly stated they would be much more comfortable managing concussion injury if they were adequately trained to do so. When professional development occurs, it is important that knowledgeable and trained professionals teach them. With new information about concussion being discovered every year, educational workshops would be warranted annually. Such educational efforts can and should be extended beyond administrators and coaches. Parents, and even the athletes themselves, can and would benefit from learning about concussion’s subtle signs and symptoms, and the consequences involved with returning to play too soon. Perhaps then, the outside influencers and pressures coaches noted would diminish.

### Conclusions

This study revealed a lack of understanding among Idaho high school football coaches relative to concussion identification and management. Coaches were especially dismissive of instances consistent with mild concussion, or bell ringers, and their catastrophic potential. Coaches purported to address concussion management with subjective approaches that relied on athletes to self-report their symptoms. They were unaware of functional assessments that objectively measured both the brain and body. Coaches acknowledged that outside pressures contribute to their decisions on when to allow concussed athletes to resume physical activity. Their lack of understanding may be attributed, in part, to the fact that there are few athletic trainers in Idaho’s secondary schools, and there are few or no educational workshops provided to coaches on concussion management.

### Applications in Sport

While this study was limited to Idaho high school football coaches, its findings may be generalized to other coaching populations. All contact sport athletes are susceptible to concussive injury. In the absence of athletic trainers or other health care professionals on the sport sideline, it is imperative that coaches be able to recognize concussive injuries and manage them according to current published guidelines.

### Figures and Tables

#### Figure 1
Identifying Concussion Incidence: Idaho High School Football
![Identifying Concussion Incidence: Idaho High School Football](/files/volume-14/2/figure-1.jpg “Identifying Concussion Incidence: Idaho High School Football”)

#### Figure 2
Determining Return to Play: Idaho High School Football
![Identifying Concussion Incidence: Idaho High School Football](/files/volume-14/2/figure-2.jpg “Identifying Concussion Incidence: Idaho High School Football”)

#### Table 1. Thematic Constructs
Examples of Raw Data Themes and Subsequent Subthemes and Major Themes

Raw Data Theme Subtheme Theme
Glassy eyes.
Dilated pupils.
Physical Signs & Symptoms Recognition
Whether he’s not all together there.
How cognizant they are of where they’re at.
Mental Status
Whether he’s wobbly. Kinesthetic Awareness
It depends on the kid!
Every player experiences at least one of the symptoms.
I look at the severity of the hit.
Mechanism of Injury & other variables
I get him to a trainer.
We have doctors on our sideline.
Referrals Evaluation
I asked them questions, look in the eyes.
We observe him for awhile.
We just keep him out.
We watch them very carefully.
Watch and Wait
We don’t decide. That’s decided by the team doctor and the trainer.
They have to have a doctor’s release.
It’s gotta be a parent.
We let him sit for awhile.
Usually you go about a week and a half.
We sit them out a week.
Time Away
I think we can go too overboard on it.
We can get to the point where we side on the side of over-caution – to the point where it can get a little ridiculous.
It’s No Big Deal
We want to keep our best players in the game.
A kid that wanted to play in the playoffs.
If the parents say it’s okay, then that at least releases the coach of that (responsibility).
He’s a young kid; He’s not a senior.
Pressure to Win (Play) Influencers
I would put the safety above putting him in the game.
It’s too dangerous.
The kid’s health is more important than any game that we play.
Safety Comes First
We need an athletic trainer.
We probably could have more – at least EMT types around for practice.
Resources Needs
I would love the opportunity to learn more.
You have to know what’s happening with your players, especially when concussion is involved.
Education
Helmet issues are going to be real paramount.
The teaching of how to tackle is very important.
Equipment & Instruction

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### Corresponding Author

Caroline E. Faure, EdD
Assistant Professor of Sport Science and PE
Idaho State University
STOP 8105
Pocatello, ID 83209
<faurcaro@isu.edu>
208 282-4085

### Author Biographies

#### Caroline Faure, Ed.D., ATC

Caroline Faure, Ed.D., ATC is an Assistant Professor of Sport Science and Physical Education at Idaho State University, where she teaches undergraduate and graduate courses in sports medicine and sports law. Dr. Faure earned the prestigious Kole-McGuffey Award at Idaho State University for her research on concussion management in secondary schools.

#### Cynthia Lee A. Pemberton, Ed.D

Cynthia Lee A. Pemberton, Ed.D. serves as the Associate Dean of the Graduate School and Professor of Education/Graduate Faculty at Idaho State University. Dr. Pemberton has published and presented locally, regionally, nationally and internationally on Title IX and gender equity in school sport. Her book, More Than a Game: One Woman’s Fight for Gender Equity in Sport, addresses Title IX from both personal and professional perspectives, through a lived experience pursuing gender equity in sport at a small liberal arts college in Oregon. The book received the Phi Kappa Phi Bookshelf Award in October 2002, and has been positively reviewed in a number of publications (Journal of Legal Aspects of Sport, Women in Sport and Physical Activity Journal, Booklist and Choice).

2016-04-01T09:17:20-05:00January 12th, 2011|Contemporary Sports Issues, Sports Coaching, Sports Exercise Science, Sports Management, Sports Studies and Sports Psychology|Comments Off on An Examination of Idaho High School Football Coaches’ General Understanding of Concussion

Women’s Perspectives of Personal Trainers: A Qualitative Study

### Abstract

Personal trainers play an integral role in the day-to-day operation of the facilities in which they work. Research has identified a number of qualities and competencies necessary to be an effective exercise leader, but there is little scholarly work addressing clients’ attitudes related to the performance of personal trainers. Utilizing focus group methodology, female clients of personal trainers were recruited to provide viewpoints related to the desirable qualities of personal trainers, as well as opinions regarding trainer certification and academic preparation. Responses of the participants were transcribed, coded, and analyzed for themes. Four global themes emerged: Selection Rationale, Personal Trainer Rationale, Loyalty Rationale and Negative Characteristics. Selection Rationale consisted of qualities that influence a client’s decision to hire a particular trainer (e.g., physique, results observed in other clients, social skills). Personal Trainer Rationale referred to the clients’ reasons (e.g., frustration with current fitness level) for hiring a specific trainer. Loyalty Rationale referred to the credentials of a personal trainer that solidify the client/trainer relationship and Negative Characteristics referred to qualities considered unethical or unprofessional. The results suggest that undergraduate exercise science programs should devote additional time toward the development of future fitness trainers’ affective qualities and that clients would benefit from information about the credentials of personal trainers.

**Key words:** qualifications, certifications, credentials, licensure, attitudes, dispositions

### Introduction

Low levels of physical activity, like many other lifestyles activities (e.g., smoking), are strongly correlated with coronary heart disease, the leading cause of death in the United States (4). Lack of physical activity is also associated with asthma, type 2 diabetes, some cancers, impaired psychological status, bone and muscle problems, and decreased life expectancy (5). Despite this well-documented relationship, 37.1 % of adults have insufficient physical activity (6). Of those who do adopt an exercise program, it is estimated that 50% will discontinue it within the first six months (10), making exercise adherence a critical issue. Factors affecting adherence are complex, but an important one is a client’s perception of support from their personal trainer (28).

The significance of personal trainers has been demonstrated in several studies. Ratamass et al. (23) compared individuals trained by personal trainers to individuals working out on their own. Results showed that both1 Repetition Maximum and Ratings of Perceived Exertion scores were significantly higher in individuals who worked under the supervision of a personal trainer. Similar results were noted in studies by Maloof et al. (17) and Mazetti et al. (18). Quinn (23) suggests that part of the advantage of working with trainers relates to motivation, and that, “certified personal trainers can provide structure and accountability, and [can] help … develop a lifestyle that encourages health.”

Personal trainers, as well as club managers, believe that clients are more likely to stay with a program if the trainers exhibit the attributes of empathy, listening skills, and motivation skills (21). In addition, McGuire, Anderson, and Trail (19) report that important components of clients’ satisfaction with their fitness clubs relate to the leaders’ social support skills and instructional competency. Despite these findings, little is known about how a trainer’s qualities, including training and certification, are viewed from the client’s perspective. Several theoretical models explain the adoption and maintenance of exercise behavior (14), but little research has examined these factors in an applied exercise setting.

Finally, women are a growing majority of all health club members, accounting for 57 percent of the grand total in 2005 (13). Within the commercial club category, women constitute 60% of the national membership. In addition, studies have shown that the majority of those clients who hire trainers are female (25). Because these statistics indicate that women are primary consumers of health club memberships and training sessions, this study focused on female clients. The purpose of this study therefore, is to use an applied setting in which to systematically investigate attitudes of female clients toward the dispositions, certification, and education of personal trainers. To the authors’ knowledge, this study is the first scholarly examination of the current state of personal training from this perspective.

### Methods

#### Experimental Approach to the Problem

The data collection was qualitative and interpretive in nature. The study used the three key assumptions of the qualitative research paradigm: 1) there are no “wrong” answers; only diverse opinions, 2) there is a potential influence of the inquirer (see Limitations section of this paper) and respondent relationship, and 3) the goal is to describe findings within a particular situation (29). This interpretive perspective used grounded theory, or theory that emerges from the data (9). Therefore, this type of inquiry is not a critical or empirical comparison to existing theory.

The investigation used a focus group to examine the overarching question, “What qualities are important to be a successful personal trainer?” The focus group interview offered compatibility with the qualitative research paradigm, opportunity for direct contact with subjects, and the advantages of group format (29). This research was conducted with clients of personal trainers. Global themes, major themes, and sub-themes were selected from the transcriptions. Evidence of credibility, reliability, and trustworthiness was provided in several ways. First, three different readers were used, bringing their varying perspectives to the group. Second, the data presented represents consensus reached via thorough discussions among individuals (readers) with expertise in personal training, exercise physiology, health behavior, and qualitative research methods. Finally, the investigators sent a one-page summary (a member check) to the participants and asked for feedback and clarifications and/or additions they would like to make. The study design was identical to that used in two previous studies which examined the current state of personal training from a personal trainer point of view (20) as well as from a manager point of view (21).

#### Role of the Investigators

The primary investigator was a personal trainer for 10 years before devoting her time to teaching exercise science classes at the university level. She is a certified Health Fitness Specialist with the American College of Sports Medicine, and a Certified Strength and Conditioning Specialist with the National Strength and Conditioning Association. She is also a certified group exercise instructor with the Aerobics and Fitness Association of America (AFAA), as well as a certification examiner for their organization. She has developed and maintained close relationships with both clients and personal trainers and is very familiar with the issues surrounding this profession.

#### Subjects

Subjects included 5 female clients of personal trainers (M age= 36.2 years, with a range of 24-50 years). Detailed demographic information for the subjects is represented in Table 1.

#### Procedures

##### Surveys

Volunteers were randomly solicited from four health clubs in a small southeast community. This selection process involved recruitment through posted flyers as well as by word-of-mouth contacts. Subjects were either personally provided with or mailed a packet including: 1) a demographic/survey sheet, including name, address, age, occupation and education; 2) questions related to certification of trainers; 3) an informed consent form approved by the university Internal Review Board committee, explaining that the participants would be video- and audio-taped during the focus groups; and 4) a list of the questions that would be probed so that the participant could reflect on these prior to the meeting. Finally, in addition to the focus group interview and audiotapes, the surveys were used as a third method for triangulation of the data. After collecting all the demographic/survey sheets, participants were contacted via telephone and asked to participate in the focus groups.

##### Focus Groups

Subjects who agreed to participate were given a list of the questions that would be discussed prior to the focus group meeting. These questions were:

1. Why did you decide to hire a personal trainer?
2. What attracted you to a particular trainer?
3. What characteristics kept you coming back to the same trainer?
4. Do you know the qualifications of your trainer?

a. If you do not know, how do you know that you are getting what you paid for?
b. Does it matter if they have certifications?
c. Do you know which certifications are the most respected?
d. If you knew that not all trainers had a nationally recognized certification, how would you feel about that?
5. Have you experienced any unethical behavior with a trainer?

a. If yes, what was the nature of this behavior?
b. Even if you have not experienced it, what do you consider to be unethical?

The focus group comments were recorded using a Marantz audio-recording system and videography (60 Hz). In addition to the informed consent, participants also signed a confidentiality agreement within the group. The confidentiality statement included the investigator’s agreement not to disclose names, as well as the participants’ agreement not to disclose or discuss what was said in the interviews with other participants or individuals outside the designated focus group time. Furthermore, anonymity was assured by removing participants’ names on the final transcripts, and by replacing real names with pseudonyms (see Table 1). A moderator’s guide, (29) was used in each of the focus groups. The focus groups lasted approximately 2 hours with an emphasis on each participant getting equal amounts of speaking time (29).

#### Statistical Analyses

The focus group audio tapes were transcribed verbatim. The three investigators read and re-read each of the three transcripts and searched for key phrases emerging from the data. Key phrases were defined as those that occurred at least five times within the transcript, as the three investigators concurred that this arbitrary number was sufficient to denote a key phrase. The investigators converted the key phrases into codes and then examined the transcripts line by line, inserting the codes where appropriate. After consensus was reached concerning the coding of each line of transcript, the codes were entered into Ethnograph©, a computer program used for qualitative data analysis. In order to determine credibility and reliability, three different readers were used, bringing their varying perspectives to the group. All three read the transcripts, as well as reviewed the audio- and videotapes. This lessened the risk of allowing the primary investigator’s biases to strongly affect emergent themes. A bracketing interview was also completed to lessen this risk. In a bracketing interview, the primary investigator was asked the same questions her participants would be asked, and she answered them from her own perspective and in as much detail as possible. This was in order for her biases as a former personal trainer to be made clear to her and to the other investigators. Throughout data collection and analysis, the interview was referred to, so that her biases would not override the actual perceptions of the participants. Additionally, a member check was employed; the investigator sent a one-page summary to the participants and asked for feedback and any clarifications and/or additions they would like to make. Trustworthiness of data was established through two methods of triangulation: three data collection methods, and three different perspectives concerning the research question. The data collection methods were the focus group interview, the videotape, and the survey.

### Results

The results are reported by themes that emerged from each research question. Figure 1 depicts the hierarchical organization of the clients’ responses into global, major, and sub, and mini-themes. The global themes and their sub-factors are described therein.

#### Personal Trainer Rationale

The first global theme that emerged from the client focus group was Personal Trainer (PT) Rationale which refers to the clients’ reasons or motivations for hiring a personal trainer. Participants in the focus group provided a rich and detailed account of their motives for hiring a personal trainer. The discussion of PT Rationale produced two major themes, including Frustration and Motivation. The clients expressed frustration over their inability to achieve fitness and/or physical appearance goals, such as weight loss, muscular strength, or just the ability to fit into certain clothes. Lorraine stated,

> I just got sick of the way I looked in the mirror naked. I didn’t like the way clothes fit; I didn’t like becoming a plus-size girl at 21 years of age. And, once at the gym, I asked to use the body fat percentage machine. [As the trainer] gave it to me, I was voicing my frustration and he said something about, ‘Oh, you need to lift’ and I [said], ‘Great, I’ll be here in the morning’. And that’s how I got started.

The clients also reported a desire to work with someone who could help them sustain motivation. Clients felt they could not generate the motivation necessary to adhere to regular exercise, and wanted a trainer to motivate them to work harder during a workout session. To illustrate, Carla said that her biggest problem was just getting herself to the gym: “Motivation for me, and for probably most of the population that’s overweight, [is] what they need”.

In summary, it appears that the clients’ incentives for seeking a personal trainer originated from the negative effect or frustration associated with their failure to achieve fitness/physical appearance goals. Additionally, they sought personal trainers to maintain their motivation once in an exercise program. These major themes led to a sub-theme, Body. Clients were frustrated with their physical appearance, and they expressed the need to hire a personal trainer who would help to create the motivation required to change their bodies and to achieve results (e.g., lose weight, gain muscle tone). Once the decision to hire a personal trainer was made, the clients used certain criteria to evaluate potential trainers in order to select someone who most suited them. These criteria are considered next.

#### Selection Rationale

A second global theme for the clients of personal trainers was labeled Selection Rationale (see Figure 1). While PT Rationale examines the reasons clients sought a personal trainer, Selection Rationale refers to the attributes the client considered when evaluating a particular personal trainer. This theme includes first impressions and characteristics that clients would be able to readily observe prior to hiring the trainer. The major themes associated with Selection Rationale are Gender, Empathy, Physique Appearance, and Results of Others. Interestingly, four of the women preferred a female trainer because they felt a woman would be better suited to understand their struggles and comfort levels. Specifically, these women chose a female trainer because they felt that they would not be as self-conscious about their bodies as they might be while working with a male trainer. They also indicated that a female trainer would be prepared to understand their gender-role concerns (e.g., balancing a toned body with a feminine image). Cassie believed that a female trainer would not make her feel self-conscious in the beginning, while she was still at a body size that was undesirable to her. Alicia associated high volume weight lifting with male trainers and that this would “make her own body get too big”. [Both clients later hired male trainers and found that this was not the case]. Lorraine preferred a male trainer because she felt that she would feel the need to compete with a female trainer, though this individual did not elaborate on the meaning of “compete.” In light of the importance of physical appearance relative to reasons for hiring a trainer, it is plausible to suggest that Lorraine felt like she would compete with the trainer in terms of physical appearance. In summary, it appears that gender may play a major role when clients select a particular trainer. Female clients expressed a preference for female trainers because they believed female trainers would empathize with them more than a male trainer could. In fact, the clients discussed empathy to such an extent that it was designated as a major theme.

Empathy refers to the trainer’s understanding of the client’s experience and her skill in effectively listening to their difficulties. Several clients preferred trainers who have personally experienced the challenges associated with weight loss and adhering to an exercise program. Alicia commented, “I knew I wanted someone who had lost the weight, who knew what it felt like to struggle…I wanted someone who felt that [way] to train me”. Whitney commented,

> “I chose the person that I was with because of her [the trainer’s] own personal body change. I was watching her modify her diet and … all the training that she did and just seeing the difference in her own body… I just felt like she could achieve that with anyone who wanted to.”

These clients believed that if a trainer could feel what the client was going through (emotionally and physically), it would not only make the client feel more comfortable during the training session, but would also give the client confidence that they could achieve their own goals.

In addition to empathy and gender, the clients evaluated potential trainers based on the trainer’s physique. Physique Appearance, a third major theme, was discussed at great length and in much detail among all of the clients. The clients believed that a trainer who has a “good body” gave them confidence that the trainer “knew their stuff”. Furthermore, the clients believed that a trainer with an attractive physique must be motivated to be healthy, so they must possess the skill to motivate others. Whitney commented, “… how they look is important to me because I have to be able to put my faith in them and know that they know what they’re doing. . .”

The clients equated having a sculpted physique with competence. At the same time, several clients did recognize that mere physical appearance was not sufficient to indicate knowledge of personal training. Interestingly, the clients clearly identified empathy as a critical factor in selecting a trainer (i.e., the trainer feels or has felt the frustration associated with maintaining an exercise program), yet they also identified the appearance of the trainer’s physique as an important factor. After probing this issue, the clients concluded that for a first impression, the appearance of the trainer’s physique is important, but other factors may overcome this first impression. Clients felt that as long as they saw results with their own bodies, their trainer’s physique would become much less of a factor. Alicia commented,

> “I think that in the beginning, I would be apprehensive [with an overweight trainer]. But I wait and see what kind of change I get after working out with that person for, say, 3 months. In the long run, it’s the changes that I make and the goals that I reach …that’s going to keep me coming back- not their credentials, not what they wear, not what they look like”.

The interviews also revealed that the results that other clients achieved with a personal trainer were more important than the trainer’s physique. The major theme, Results of Others, refers to the results (e.g., successfully achieving changes in physical appearance or fitness) that other clients have achieved while working with a particular trainer. Three of the clients explained that this was one of the major reasons they chose their trainers. Carla commented, “I think that seeing the results that they’ve accomplished with someone else is as important to me as their credentials.”

#### Loyalty Rationale

Another global theme that emerged during the client focus group was Loyalty Rationale (see Figure 1), which refers to the credentials of a personal trainer that solidify the client/trainer relationship. These qualifications were not necessarily known before the client started working with her particular trainer, but they were the reasons the client stayed with the trainer. This global theme included the following major themes: Social Skills; Individuality; Education; Passion; and Results. Social Skills refers to the interpersonal and communication skills of the trainer, as well as the friendships that sometimes result with the one-on-one training. Effective interpersonal skills (e.g., charisma, sincerity) can lead to deeper, satisfying relationships (e.g., friendship) in one-on-one training. The clients noted that they like a trainer who could give them a good workout, yet who made it fun. They enjoy the camaraderie they have with their trainer, and it gives them the motivation to come every session. Carla commented,

> “…I think they should be enthusiastic, I think they should be fun. I mean, that hour is torture sometimes. And I think they have to encourage you…talking to him [trainer] and hanging out while we’re working out, is just as important probably- actually more- important than working out!”

Individuality was another major theme that emerged. It consists of two sub-themes: Full Attention and Documentation. Full Attention refers to the clients’ desire for the trainer’s complete focus and attention during their training session. Cassie commented, “I just think it’s very important to not only [oversee] training [for] the individual, but to make them feel special, make them feel that you want to be there”. Although the clients realize that their trainer has other people that she or he trains, during their hour they want to feel that they are the only client the personal trainer has.

The clients also preferred trainers who could listen closely to their concerns and make notes (e.g., programmatic changes) of what was accomplished during the session. Documentation was a sub-theme of Individuality. The clients felt very strongly that the trainers should keep formal records of what happened during each training session in order to keep track of the workouts so that they can differentiate among all of their clients. This theme also included effective listening skills, since it was believed that this would help avoid injuries. Avoiding Injury is a mini-theme that emerged from Documentation and Full Attention. These clients believed that it is important for trainers to listen to the client and document any injuries that occur so that the trainer remembers not to do that exercise again with that particular client. In addition, clients expected trainers to ask them for an update of the injured area at a later session. Some of the clients had encountered trainers who did not seem to listen when a particular exercise resulted in pain or injury, and some suggested that this was because the trainer had taken on too many other clients.

As one might expect, the clients valued the trainer’s knowledge of anatomy, physiology, and exercise program design, which was reflected in the major theme labeled Education. This theme was discussed in terms of college and certifications. College refers to any formal training at the collegiate level that clients felt should be required of trainers. Most of the clients believed that a trainer with a college degree has a broader understanding of the body than someone without a degree. Cassie, the client who had worked with six different trainers commented,

> “I find that if I have trained with people who had a B.S., the title [in] sports medicine or a related field, [instead of] a weekend course…they have a broader, general understanding of the body besides just, ‘this is the exercise, this is how you do this’. They can give you much more advice about your nutritional needs, you know, some lifestyle changes…”

It was clear that most of the clients were more comfortable with a trainer who earned a college degree, and that most assumed that their trainers had a degree since they were seeing results.

In regard to certifications (the other sub-theme associated with Education), the clients were asked whether they knew the names of any of the certifying organizations. No clients answered affirmatively. In fact, four had not known any of the qualifications of their trainers before they hired them. The exceptions to this were cases in which the trainer had won a bodybuilding or fitness show. Lorraine commented, “In the beginning, I didn’t know [what the qualifications of my trainer were]. I just assumed that everyone was certified”. When clients were informed about the fact that trainers at some locations are not required to possess a degree or have any formal training before they take many of the certification exams, they were surprised. Alicia remarked, “I didn’t ask for their qualifications. It was through our interactions that I found out what the qualifications were. I’m sitting here thinking…when I go to a doctor, I certainly want to see their qualifications.”

Another client had also been disappointed when she discovered how “easy” it can be to acquire some of the certifications. Carla noted, “I think that a lot of these groups that certify people, it’s become more of a money game than making certain people know what they’re doing. To me, it trivializes it somewhat.” Several of the clients also recognized that some trainers elected a quick certification and were training simply to make extra money. Whitney commented, “I think somebody…who’s spent the better part of her adult life working on this kind of stuff is preferable to someone who just got certified in a weekend class.”

The discussion regarding education prompted a wide variety of comments. In the absence of any probe directly concerning college, the clients noted that a degree must be an important quality for a trainer. Although the clients were disturbed by the notion of a trainer without a degree or certification, the clients seemed to quickly dismiss this opinion in situations where the trainer is clearly dedicated to the field and loves what she or he does, regardless of degree or certification. The clients called this passion.

Passion is a major theme that refers to the trainer having a love for what he or she does, including a dedication to the profession. In fact, some of the clients decided that since having a passion for your job will probably motivate a person to become better, the passion of a trainer may be more important to the clients than their education. Carla commented, “If you have a passion for it, you’re going to have a desire to learn more, read more, and to enrich your client’s life with that.”

Although social skills, individuality, education, and passion were clearly important to these clients, detectable changes in their bodies (e.g., weight loss, improved muscle tone), or results, appeared to be the most powerful factor influencing continued work with that trainer. Results refer to the changes that the clients saw in their bodies, which is consistent with their rationale for hiring a trainer in the first place (i.e., clients hired trainers in part because of the frustration that resulted from inability to achieve significant body change). According to these clients, the results that they get from working with a particular trainer may be more important than any other qualification or characteristic a trainer may possess. Alicia reported that her trainer never told her what his credentials were and that it bothered her at first, but since she was seeing results, it seemed to matter less over time.

Negative Characteristics
Finally, the clients discussed and identified a number of negative characteristics or behaviors that might impair the personal training experience. The last global theme that emerged from the client focus group was Negative Characteristics, which consisted of the sub-themes, Unethical and Unprofessional. Negative Characteristics are characteristics that clients felt were inappropriate for trainers. These characteristics might cause a client to terminate her relationship with a trainer. In this study, Unethical refers to behavior that is sexual in nature, such as flirting and sexual comments directed at the client or any other members in the gym.
Unprofessional behavior includes canceling appointments frequently, not calling to cancel appointments, cursing, and telling clients about problems with management. In addition, these clients considered inappropriate attire worn by the trainer as unprofessional. The clients expressed discomfort with female trainers who wear sport tops and bike shorts, since it seemed to make them feel self-conscious about their own bodies. Interestingly, the clients did not discuss male trainer’s dress at length, and when it was mentioned, clients suggested that the male attire should be “tasteful” and “clean”. Cassie felt that female trainers are more likely to wear inappropriate clothing. The female clients seemed to take it as a personal affront when their female trainers dressed in revealing clothing because it made the clients feel self-conscious about their own bodies. In other words, they want their trainer to have a great body, but they also want it covered. Additionally, the clients do not want to hear sexual comments made by their trainers, specifically male trainers. As Table 2 demonstrates, these clients were very clear regarding gender roles in the workplace; females should not show off their bodies, and males should not make sexual innuendos.

### Discussion

The purpose of the present study was to examine clients’ perceptions regarding the qualities of successful personal trainers. Using focus group methodology, four global themes emerged: Personal Trainer Rationale, Selection Rationale, Loyalty Rationale, and Negative Characteristics. Table 2 summarizes these results.

The clients in the present study identified several factors they considered when selecting a personal trainer. The clients preferred a trainer who could empathize with their struggles to adhere to an exercise program, help them lose weight, and improve their bodies. In addition, the trainer’s physique was important when selecting a particular trainer. These findings are in line with self-presentation theory (16), a process by which one monitors and controls how one is perceived by others. Research examining self-presentational processes in physical activity has typically focused on social physique anxiety, a perception that others are negatively evaluating one’s physique (12). The findings of the present study seem to indicate that self-presentational processes may influence the selection of a personal trainer. That is, clients’ perceptions of their own physical appearance in relation to that of a potential personal trainer may influence the selection of that trainer.

The finding that physical appearance was a major factor regarding the selection and hiring of personal trainers, as well as why people decide to exercise in the first place, mirrors contemporary society’s emphasis on the “body beautiful”. People want their bodies to emulate those seen on magazine covers and on television, and therefore seek out trainers who also have these sculpted bodies to train them. Additionally, because attractiveness is more central to women’s identity (11), women are more dissatisfied with their bodies than are men (26).

Although a trainer’s physique was an important factor in the selection of a personal trainer, the clients agreed that other factors may become more relevant (e.g., detectable changes in fitness level and physique) as they progress with their exercise program. The participants indicated that perhaps the most powerful factor when selecting a trainer is that of observing the results a trainer has accomplished with other clients. This is a factor that may lead to or be associated with false assumptions. First, it is possible that a trainer with a lean, athletic, muscular, and sculpted body has never had to worry about his/her weight. In light of the importance of genetics in determining body type, the trainer with the most attractive body may have always had a fit body, and never had to work to maintain or improve it. Thus, this type of trainer may not be necessarily empathetic to a client’s struggles with appearance. Moreover, a trainer may know how to train herself, but there is no guarantee that she can transform another person’s body. This may lead to unrealistic expectations for clients which may result in discontinuation of an exercise program.

Also, while people may see results from exercising (e.g., losing weight, toning muscles), there are incorrect ways to achieve these results. It is possible, for example, to severely dehydrate oneself in order to see more muscular definition, as some bodybuilders do prior to competition. Therefore, clients may obtain results, but they may not be using safe training methods. Finally, while factors such as noticeable results were important in the initial phases of evaluating potential trainers, they were not the factors that ultimately affected whether or not the client stayed with the trainer.

In regard to trainer characteristics, clients suggested that trainers should: 1) be educated; 2) recognize the individuality of each client; and 3) be able to help clients accomplish detectable body changes. In addition, they should have a passion for personal training, and make the workout enjoyable through the use of effective social skills. The importance of “fun” during a workout session corroborates Wankel’s findings (30) that the activity itself and the characteristics of the leader are significant factors that affect enjoyment and adherence to a program. One client mentioned that exercising is difficult, and that it is important for the trainer have the social skills to communicate as a friend and make the session as enjoyable as possible. Exercise is inherently a physically challenging activity. Therefore a trainer’s ability to use his or her social skills to make the training session comfortable is an important one. Clients are more inclined to continue with that particular trainer.

Thus, the clients want to work out in a socially friendly environment in order to sustain motivation. The importance of fitness professionals’ dispositions is critical. Studies examining the influence of disposition in service work (e.g., hospitality, retail) show that personality and social skills often outweigh a person’s technical ability (14,22). Collishaw et al. (7) also reported that an instructor’s genuine enthusiasm for teaching group fitness classes was perceived and appreciated by clients. Finally, clients report more positive affect and loyalty to a trainer as a result of positive body language. “Trainers should listen to [clients] and learn about who they are, what their lifestyle is like and what motivates them. This process will become easier with time and the personal trainers will develop a polished bedside manner.” (2). Clients also want to feel special during workouts and believe that the trainer has her full attention on the client, listening to them and documenting what worked and what did not in order to avoid potential injuries. This expectation for being treated as an individual (Individuality) is an example of the customer service that Americans demand from all businesses.

A trainer’s knowledge was important to the client. It did not necessarily have to be from a college degree or certification, however. As long as the trainer shows a passion for her occupation, and the client sees results with her own body, the need for other credentials may be minimized. If the clients recognize that a trainer is genuinely enthusiastic and shares continued education (e.g., reading) with her client, this may preclude the need for higher education. However, since the majority of the clients did not truly know what the qualifications of their trainers were, or any of the certification programs available, it is plausible to suggest that they also would not be certain that the information their trainer is seeking and distributing is from reputable sources.

While credentials are critical in the selection of a trainer and/or a facility, a trainer’s credentials (e.g., certification, college degree) may mean less to a client than the belief that the trainer can help the client achieve the desired results (8). Of course, this perception is based only upon what they observe (the body change of another). Clients may not recognize that people’s bodies change at different rates and in different ways due to genetic differences, time available for training, diet, and internal motivation.

The clients identified characteristics of personal trainers that they considered unprofessional and unethical. These negative characteristics may influence clients’ decisions to stay with a trainer. In some instances, this unprofessional behavior may result in a discontinuation of exercise altogether. As was previously noted, exercise adherence is quite low in the United States; unprofessional or unethical personal trainers only exacerbate this situation. While personal trainers who have sound knowledge and strong motivational skills inspire clients, those who do not possess these skills may be the reason why a person stops exercising. That is, if the client was frustrated before working with a trainer because she could not obtain desired results, or could not motivate herself to exercise, working with a trainer who displays negative characteristics may cause her to abandon exercise altogether.

Incompetent personal trainers may also hurt those trainers who are qualified and knowledgeable. Personal trainers who are not dedicated to the personal training industry or concerned with improving their skills severely damage the reputations of the qualified trainers who do an excellent job of caring for their clients and who make personal training a respected profession.

#### Limitations

Several limitations should be acknowledged. First, qualitative methods were used and therefore, the results cannot be generalized to other populations. Second, this study used only females and attitudes toward trainers may be gender specific. Third, focus group participants volunteered to be a part of the sessions, and this might have created a potential bias since these individuals may not necessarily represent all clients of personal trainers. Finally, all qualitative research is dependent on the biases of the authors that analyze the data. Although measures were taken to eliminate bias (the lead author completed a bracketing interview and three authors analyzed the data through consensus agreement), it is possible that preconceived beliefs may have influenced the analysis. Despite these limitations however, the authors believe that the results of the present study contribute to scholarly inquiry and offer some important practical applications for the fitness industry.

### Application in Sport

The findings of the present study have several implications relative to the personal training industry, including a discussion of the skills and/or qualifications necessary for successful personal training. First, if personal trainers are to meet the priorities of their clients, they must learn communication skills, motivation techniques, how to treat the client as an individual, and how to design various weight training programs according to the goals of the client. They must also recognize the importance of their clients’ perceptions of training results. Also, while students who do not necessarily have an ‘ideal’ physique should not be discouraged from pursuing this career, they should be cognizant that a trainer’s physique may be a deciding factor in the hiring process.

Second, the public needs to be better informed about exercise and nutrition. Clients would also benefit from information regarding the certifications associated with personal trainers. The majority of the clients in this study had not known the qualifications of their trainer when they hired them, assuming all were degreed and certified by reputable organizations. If fitness professionals can find effective ways to inform the public regarding the selection of a qualified personal trainer, clients may be less likely to have unrealistic expectations when hiring a trainer. In addition, they may be more wary of the trainers who proclaim to be able to change their entire appearance by in a short time.

Third, the authors believe that undergraduate and certification programs should include training in the development of interpersonal skills such as active listening, empathetic communication, and strategies to enhance motivation. The findings of the present study are consistent with research showing that these techniques will positively influence exercise adherence (3). Clients in the current study sought and stayed with trainers who exhibit these skills. The authors therefore, support formal incorporation of best practices into undergraduate programs. Research has shown that using such techniques will positively influence exercise adherence (3,27,28). Additionally, the findings of the present study suggest that personal trainers need to take a more client-focused approach, treating their clients as individuals and not simply as dollar signs.

A final suggestion to strengthen the current state of personal training is to move toward state licensure. The participants in the present study were largely unaware of certification procedures and the multiple licensing agencies. Currently, there are at least 19 different personal trainer certification organizations (1), and approximately 90 organizations offering fitness certifications (31). With so many organizations having their own criteria for membership and certification as a personal trainer, there has been little regulation or assurance that personal trainers working in the field are qualified. It is critical that present and future club members improve their knowledge of how professional personal trainers are educated and certified. Given the poor exercise adherence and high level of dropout rates in the United States, qualified personal trainers are in a position to help change these rates.

### References

1. Archer, S. (2004) Navigating PFT certifications. IDEA Fit J, 1: 50-57.
2. Bentkowski, F. (2002).Getting to know you. Club Industry, 18(8): 25.
3. Buckworth, J. (2000). Exercise determinants and interventions. Int J Sport Psychol, 31: 305-320.
4. Centers for Disease Control [Internet]. Physical activity and health [cited 2010 Sept 15]. Available from: <http://www.cdc.gov/nccdphp/sgr/pdf/execsumm.pdf>.
5. Centers for Disease Control [Internet]. Physical activity for everyone [cited 2010 April 30]. Available from: <http://www.cdc.gov/physicalactivity/everyone/health/index.html>.
6. Centers for Disease Control [Internet]. Prevalence of physical activity, including lifestyle activities among adults [cited 2010 Sept 15]. Available from: <http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5232a2.htm>
7. Collishaw, M.A., Dyer, L., & Boies, K. (2008). The authenticity of positive emotional displays: Client responses to leisure service employees. J Leis Res, 40(1): 23-46.
8. Cox, J. (2009). Weigh the choices before signing up for a gym. McClatchy Trib Bus News. Washington: Dec 24.
9. Denzin, N.K. & Lincoln, Y.S. (2000). Handbook of qualitative research. Sage Publications, Thousand Oaks, CA.
10. Dishman, R.K. (1990). Determinants of participation in physical activity. In: Exercise, fitness and hhealth: A consensus of current knowledge. Bouchard, C., Shepard, R.J., Stephens, T., Sutton, J., & MMcPherson, B., eds. Human Kinetics, Champaign, IL. 75-101.
11. Gupta, M.A. & Schork, N.J. (1993). Aging-related concerns and body image: Possible future implications for eating disorder. Int J Eating Disorders, 14: 481-486,
12. Hart, E.A., Leary, M.R., & Rejeski, J.W. (1989). The measurement of social physique anxiety, J Sport and Ex Psychol, 11: 94–104.
13. International Health Racquet & Sport Association Web Site [Internet]. Boston (MA): [cited 2010 Sept 2]. Available from: <http://cms.ihrsa.org/index.cfm?fuseaction=Page.viewPage&pageId=18859&nodeID=15>
14. King, A.C., Stokols, D., Talen, E., Brassington, G.S., & Killingsworth, R. (2002). Theoretical approaches to the promotion of physical activity: Forging a transdisciplinary paradigm. Am J Prev Med, 23(Suppl 2): 15-25.
15. Korczynski, M. (2002). Human resource management in service work. Palgrave, Basingstoke.
16. Leary, M.R. (1992). Self-presentational processes in exercise and sport. J Sport Ex Psychol, 14: 339-351.
17. Maloof, R.M., Zabik, R.M., & Dawson, M.L. (2001). The effect of use of a personal trainer on improvement of health related fitness for adults. Med Sci Sports Exerc, 33(5): 74.
18. Mazetti, S.A., Kraemer, W.J., Volek, J.S., Duncan, N.D., Ratamess, N.A., Gomez, A.L., Newton, R.U., Hakkinen, K., & Fleck, S.J. (2000). The influence of direct supervision of resistance training on strength performance. Med Sci Sports Exerc, 32(6): 1175-1184.
19. McGuire, A.M., Anderson, D.F., & Trail, G. (2009). Examination of consumer differences on the importance and satisfaction with fitness service attributes. Int J Sport Mgmt, 10(1): 102-119.
20. Melton, D., Katula, J.A., & Mustian, K.M. (2008). The current state of personal training: an industry perspective of personal trainers in a southeast community. J Strength Cond Res, 22 (3): 883-889.
21. Melton, D., Dail, T.K., Katula, J.A., & Mustian, K.M. [in press]. The current state of personal training: Managers’ perspectives. J Strength Cond Res.
22. Nickson, D., Warhurst, C, & Dutton, E. (2004). Aesthetic labour and the policy-making agenda: Time for a reappraisal of skills. SKOPE Research Paper 48, Oxford and Warwick Universities.
23. Quinn, E. Do you need a personal trainer? 10 reasons a trainer may be right for you. About.com Guide. Available from: <http://sportsmedicine.about.com/cs/strengthening/a/012004.htm>. Accessed February 16, 2010.
24. Ratamass, N.A., Faigenbaum, A.D., Hoffman, J.R., & Kang, J. (2008). Self-selected resistance training intensity in healthy women: The influence of a personal trainer. J Strength Cond Res, 22(1): 103-111.
25. Redding, J.L. (1994). A descriptive study of personal trainers. Columbia University Teachers College. Diss Abst Intl 55(07A): 1871.
26. Rozin, P., & Fallon, A. (1988). Body image, attitudes to weight, and misperceptions of figure preferences of the opposite sex: A comparison of men and women in two generations. J Abnormal Psych, 97: 342-345.
27. Sallis, J.F., Hovell, M.F., Hofstetter C.R., Faucher, P., Spry, V.M., Barrington, E., & Hackney, M. (1990). Lifetime history of relapse from exercise. Addictive Behav, 15: 573-579.
28. Turner, R.D., Polly, S., & Sherman, A.R. (1976). A behavioral approach to individualized exercise programming. In: Counseling Methods. Krumboltz, J.D. and Thoresen, C.E., eds. Holt, Reinhart, and Winston, New York.
29. Vaughn, S., Schumm, J.S., & Sinagub, J. (1996). Focus group interviews in education and psychology. Sage Publications, Thousand Oaks, CA.
30. Wankel, L.M. (1985). Personal and situational factors affecting exercise involvement: The importance of enjoyment. Res Q Ex Sport, 56(3): 275-282.
31. Williams, A. (2009). Personal trainer certification. IDEA Fit J, 6: 2.

### Corresponding Author

**Deana I. Melton, Ed.D., CSCS, HFS**
Human Performance and Leisure Studies Department
North Carolina A&T State University
203 Corbett Center
Greensboro, NC 27411
Phone: (336) 334-7712
Fax: 336) 334-7258
<dimelton@ncat.edu>

2016-04-01T09:36:46-05:00January 4th, 2011|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Women’s Perspectives of Personal Trainers: A Qualitative Study

Relationship of Arm Span to the Effects of Prefatigue on Performance in the Bench Press

### Abstract
The purpose of this study was to determine the effects of arm span on the acute effects of fatigue caused by maximum voluntary isometric contraction (MVIC) on performance in the bench press. Eight female collegiate track and field athletes involved in the throws events (shot put, discus, hammer, and javelin) volunteered for this investigation. Initial assessments included one-repetition maximums in the bench press (Pre Max 59.5±19.8kg) for each volunteer as well as basic anthropometric data including arm span. Volunteers reported twice for two treatments that included three maximal bench press attempts. The standard (STAND) treatment consisted only of the maximal attempts. The MVIC treatment consisted of a 30-second maximal voluntary isometric contraction prior to maximal attempts. General Linear Model analysis was performed to evaluate fixed effects (Treatment, Arm span) on maximum weight lifted. The model was significant (Likelihood Ratio Chi-Square 3507.525, p<0.001) and revealed main effects for treatment (STAND 59.78±18.8kg vs. MVIC 52.32±11.5kg, p<0.001) and arm span (p<0.001), as well as a significant two-way interaction treatment*arm span (p<0.001). Post-Hoc analysis revealed that under the STAND treatment arm span was not a predictor of change in bench press performance; however under the MVIC treatment (F=16.255, p=0.007) arm span was a significant negative predictor of change in bench press performance (Beta = -0.855, p<0.001). Arm span is a simple measure that can quickly and easily be assessed; yet also a variable that can provide valuable information for coaches to consider before planning weight training for track and field throws athletes.

**Key Words:** Anthropometry, Strength, Athlete

### Introduction
Muscular strength is one essential component contributing to optimal athletic performance (4). The development of upper body strength typically involves high-resistance, low-repetition exercises using larger muscle masses to increase the maximal force generation by a muscle or muscle group. The ability of individuals to adapt positively to increasing training loads requires careful consideration of the volume and intensity of the exercises (1). Regardless of precise planning by the coach, an athlete’s physical limitations may prevent optimal adaptation, or physical gifts may instead promote adaptation (4).

A plethora of anecdotal evidence surrounds the effects of the length of the appendages of the human body on performance in the weight room. In particular in the bench press lift, many recreational lifters maintain that long arm length is detrimental to performance. The fact that lifters with longer arms must displace the bar further from the chest in order to complete the lift would seem to lend some credence to this anecdotal belief. However, recent work by Mayhew et al. (5) demonstrated that skeletal length was not a valid predictor for performance on the NFL-225 bench repetition test. In more recent work, Reynolds et al. (7) examined the relationship between more basic anthropometric measurements and performance in the bench press. In this study, Reynolds et al. recruited seventy subjects, 34 men and 36 women ranging in age from 18-69, and found that no anthropometric measurements were significant predictors on one repetition maximum (1-RM) performance.

Although previous results have not demonstrated a relationship between anthropometric measurements and 1-RM strength, results supporting differences in strength based on skeletal position have been witnessed. Murphy et al. (6) reported a significant correlation between isometric strength at 90 degrees of elbow flexion and 1-RM in the bench press exercise. Interestingly, the participants in this study demonstrated greater isometric strength at 120 degrees of elbow flexion, but this was not related to 1-RM strength. This angle (90 degrees) coincides to the ‘sticking point,’ the point of lowest force production, in the lift (3). It is intuitive that 1-RM strength in the bench press should correlate to the angle of lowest isometric force production. To complete a successful attempt, a lifter must move the weight through the ‘sticking point’ in order to achieve the elbow angle of 120 degrees, a point of greater isometric force production, and from there, finish the lift (3). Lifters who have longer arm spans will thus have a greater total distance to push the bar in order to reach the 120 degrees angle of elbow flexion. Thus, longer arm length could potentially be disadvantageous in the bench press lift.

Although previous research has not demonstrated this disadvantage (5), the Mayhew et al. investigation was descriptive in nature, predicting performance in one predetermined maximal set to failure. Past research evaluating the relationship between arm length and bench press strength has ignored how arm length may affect a total workout. Studies accounting for the potential effects of arm length during fatigue on the bench press are missing from the body of research. It is possible that effects of arm length do not manifest until the lifter is in a fatigued state. Thus, the purpose of the present investigation is to examine, in a very practical way, the effects of arm length on performance in the bench press while fatigued.

### Methods

#### Participants

The present investigation was presented to and approved by the local Institutional Review board for human subject usage. Eight apparently healthy college-aged (19.75yrs±1.2) female track and field athletes who compete in the throws events (shot put, hammer, javelin, discus) volunteered for this study (Table 1). The participants underwent a 1-RM test (Pre Max) for the bench press as prescribed by Baechle and Earle (2) as a normal part of practice and their coach reported their values (59.5kg±19.8).

Table 1. Descriptive Data of the Participants

Conditions Mean±SD
Age (yrs) 19.7±1.2
Height (cm) 171.5±8.7
Weight (kg) 94.7±29.9

*Descriptive data of the (n=8) female participants listed in mean±SD.*

#### Procedures

Participants recruited for the investigation underwent initial anthropometric testing including both height measurement via stadiometer (Health-o-Meter Inc., Bedford, OH.), weight via a balance beam scale (Health-o-Meter Inc., Bedford, OH.), and arm span measured from the farthest distance between finger tips with the arms held outstretched using a vinyl open reel tape measure. Arm span was determined in this manner because it was a simple and inexpensive method of performing an anthropometric assessment of the length of the arms that might also be assessed by a coach with relative ease. The experimental procedures were thoroughly explained to the participants prior the first session. Participants were also given a demonstration on the MVIC device. Grip width was also selected during the initial visit to limit the known effect of different grip widths on the bench press exercise (6). Following the initial visit, participants reported twice more for a total of 30 minutes per session.

##### MVIC induced fatigue

Fatigue was induced in the participants through a 30-second maximum voluntary contraction against a stationary bar set a height equal to 90 degrees of elbow flexion for the participant. The position of the bar was chosen to be approximately at the ‘sticking point’ in order to fatigue at a position critical to the successful completion of the lift. The MVIC device consisted of a standard power rack (York Barbell, York, PA.) with two sets of rails inserted, and a flat bench. A standard Olympic bar (York Barbell, York, PA.) was placed between the rails. The bar was supported from underneath by the lower rail and prevented from being lifted upward by the upper rail; the bar was thus held in a stationary position. The rails were adjustable in height, and the device was set to a point where the elbow of the participant was as close to 90 degrees as the adjustments on the device would allow. Participants were required to lay supine on the bench and press maximally against the Olympic bar for 30 seconds.

#### Experimental Design

The present investigation employed a within subjects design, with random assignment. The participants reported to the weight room on two separate occasions with 72 hours between visits. The sessions occurred at the same time as a normally scheduled team weightlifting session. Each participant was randomly assigned to one of two orders for treatment (STAND then MVIC, or MVIC then STAND).

##### Treatments

Each day began with a standard warm-up on the bench press. The first warm-up set consisted of 5 repetitions of a weight that represented 70% of the previously established one repetition maximum (1-RM). The second warm-up set of three repetitions was done with a weight that represented 80% of 1-RM. Following the warm-up on each day participants completed the protocol for one of two treatments. The first treatment was a standard (STAND) one repetition maximum determination on the bench press. The participants were instructed to attempt a total of three single repetition lifts to determine the maximum amount of weight that could be lifted on that day. The starting weight was set at a value that was approximately 2.25kg underneath the previously determined 1-RM. If the participant successfully completed the attempt they were allowed to increase the weight; if they failed at the attempt approximately 5kg was removed before the second attempt. The second treatment, pre-fatigue via maximum voluntary isometric contraction (MVIC), was identical to STAND except that immediately prior to each attempt the participants performed 30 seconds of MVIC against a stationary bar at approximately 90 degrees of elbow flexion. All participants completed all three attempts under both conditions. At least 3 minutes of recovery were allowed between attempts to reduce between lift fatigue effects (1,7).

#### Statistical Analyses

Prior to analysis all dependant variables were analyzed for normality. Paired samples t-tests were utilized to examine the differences between the two treatments so the degree of pre-fatigue can be determined. Generalized Estimation Equation analysis was utilized to examine the fixed effects of measured arm span on subsequent bench press performance. Any significant interaction effects were further explored via multiple regression analysis. Significance was set a priori at alpha ≥0.05.

### Results

Paired samples t-tests were used to determine the difference between treatments (MVIC vs. STAND). The MVIC treatment resulted in significantly lower performance on the 1-RM test (p=0.02, Table 2). General Linear Model analysis was performed to evaluate fixed effects (Treatment, Arm span) on maximum weight lifted in the bench press. The omnibus test for the model was significant (Likelihood Ratio Chi-Square 3507.525, p<0.001). The analysis revealed main effects for treatment (STAND 59.78±18.8kg vs. MVIC 52.32±11.5kg, p<0.001) and arm span (p<0.001), as well as a significant two-way interaction treatment * arm span (p<0.001). Post-Hoc analysis via linear regression revealed that under the STAND treatment arm span was not a predictor of change in bench press performance as the ANOVA for the model was not significant (F-0.806, p=0.404); however, under the MVIC treatment (F=16.255, p=0.007) arm span was a significant negative predictor of change in bench press performance (Beta = -0.855, p<0.001) (Figure 1).

Table 2. Changes in 1-RM Strength by Treatment

Treatment 1RM post (kg) Change from PreMax Value
MVIC pre-fatigue 53.0±11.5 -6.51±8.56
STAND 60.9±18.8 1.43±2.99

*All values are listed ±SD. 1RM post MVIC and STAND are significantly different p=0.02. Change between MVIC and STAND treatment are significantly different p=0.02.*

### Discussion

Based upon these data it would appear that in a state of induced pre-fatigue, arm span is a significant predictor of 1-RM performance in the bench press for female collegiate track and field throwers. Though previous research has not demonstrated similar findings(5), these findings did not represent data obtained from fatigued subjects. It would appear plausible that the effects of arm span on the bench press may only become manifest in situations of fatigue.

Understanding fatigue is an important consideration for coaches. First, a majority of an athlete’s bench press workouts is a series of sets resulting in muscular fatigue. Secondly, weight-training sessions may occur after a practice has already taken place, ensuring muscular fatigue before the bench press workout begins. Post-exercise fatigue may limit the effectiveness of the resistance-training program as an adaptive physiologic stimulus for strength gains. Understanding how each athlete reacts to fatigue in a workout is imperative to designing a training program in order to achieve maximal strength.

Track and field throws coaches in particular must specifically understand how arm span will affect bench press workouts. Throws coaches often target athletes with longer arms for recruiting purposes; longer levers are advantageous for the discus and hammer events. Coaches training athletes with a greater arm span may have to change bench press protocol to account for a greater fatigue.

The present investigation was not without limitations. Firstly, the choice of measurement of arm span versus actual determination of skeletal lengths was made to increase the applicability of the findings to coaches, but is also a limiting factor. Secondly, the simulated method of fatigue chosen for practicality for the current investigation may not be completely representative of fatigue that occurs as the result of a weight room training session. Though not without limitation, the finding remains that arm span was a significant negative predictor of performance in the pre-fatigued condition.

Future research needs to establish the relationship between arm span and differences in muscle fatigability, and exercise training and prescription in order to optimize strength development in males and females.

### Conclusions

Arm span is a practical measure that can easily be assessed by any coach with access to a tape measure. Fitness professionals and coaches should be aware that in a fatigued state arm span is a negative predictor of performance in the bench press in female track and field throwers. Therefore, it is important for the coach to understand the individual differences among the athletes who are involved in the program; the amount of required recovery time may differ among individuals (4). Considerations for this can be suggested to professionals working with similar athletes including limiting the number of sets performed and focusing on quality of the lifts performed in order to allow for the associated fatigue.

The professional may also want to consider the optimization of the training volume for these athletes based upon the finding that arm span may affect performance in a multiple set lifting scheme. The coach can reduce the number of sets based upon arm span in order to compensate for the increased impact of fatigue that will likely occur for athletes with longer arm spans. For optimizing strength gains, exercise training and prescription to females should be modulated based upon arm span and related to: (1) resistance training to failure versus not to failure; and (2) the effects of a single set versus multiple sets.

### Applications in Sport

Coaches involved in events or sports (i.e. basketball and volleyball) where arm length is a determinant of athletic potential must recognize that these athletes might fatigue to a different degree during weight training than shorter-armed teammates or counterparts. Therefore, it is essential for the coach to understand the individual anthropometric differences among the athletes who are involved in the resistance training program because the amount of required recovery time may differ among individuals. Coaches need to understand this concept in order to get the full strength potential out of their athletes.

### References

Ambdessemed, D. (1999). Effects of recovery duration on muscular power and blood lactate during the bench press exercise. International Journal of Sports Medicine, 20(6), 368-373.

Baechle, T.R., & Earle, R.W. (2008). Essentials of strength training and conditioning (3rd ed.). Champaign: Human Kinetics.

Elliot, B.C., Wilson, G.J., & Graham, K.K. (1989). A biomechanical analysis of the sticking region in the bench press. Medicine & Science in Sports & Exercise, 21(4), 450-462.

Judge, L.W., & Burke, J. (2010). The effect of recovery time on strength performance following a high intensity bench press workout in males and females. International Journal of Sports Physiology and Performance, 5, 184-196.

Mayhew, J.L., Jacques, J.A., Ware, J.S., Chapman, P.P., Bemben, M.G., Ward, T.E., & Slovack, J.P. (2004). Anthropometric dimensions do not enhance one repetition maximum prediction from the NFL-225 test in college football players. Journal of Strength and Conditioning Research, 18(3), 572-582.

Murphy, A.J., Wilson, G.J., Pryor, J.F., Newton, R.U. (1995). Isometric assessment of muscular function: The effect of joint angle. Journal of Applied Biomechanics, 11, 205-215.

Reynolds, J.M., Gordon, T.J., Robergs, R.A. (2006). Predictions of one repetition maximum strength from multiple repetition maximum testing and anthropometry. Journal of Strength and Conditioning Research, 20(3), 584-592.

Wagner, L.L., Evans, S.A., Weir, J.P., Housh, T.J., Johnson, G.O. (1992). The effects of grip width on bench press performance. Journal of Applied Biomechanics, 8(1), 1-10.

### Corresponding Author
Dr. David Bellar
Department of Kinesiology
University of Louisiana at Lafayette
225 Cajundome Blvd
Lafayette, LA 70506
<dmb1527@louisiana.edu>
(216) 374-2590

### Author Bios

David Bellar is an assistant professor and director of the human performance lab in the department of kinesiology at the University of Louisiana at Lafayette. Dr. Bellar has a background in coaching track and field athletes, and researching performance attributes within this population.

Lawrence Judge is an associate professor and coordinator of the graduate coaching program at Ball State University. Dr. Judge has a long-established background in coaching track and field athletes and an extensive research background in coaching behavior, moral issues, and competitiveness versus participation in athletics, specifically in youth sports.

Tiffany Patrick is an undergraduate student studying exercise science in the department of kinesiology at the University of Louisiana at Lafayette.

Erin Gilreath is a graduate assistant studying coaching/sports performance at Ball State University. Erin is the current American record holder in the hammer throw and a 2004 Olympian.

2013-11-25T16:46:57-06:00October 4th, 2010|Contemporary Sports Issues, Sports Exercise Science, Sports Facilities|Comments Off on Relationship of Arm Span to the Effects of Prefatigue on Performance in the Bench Press

Duration of Pre-performance Routines of Divers and Performance Outcomes

### Abstract

Pre-performance routines are individualized tasks that are intended to prepare the athlete for correct execution. While the efficacy of pre-performance routines appears established, debate exists concerning temporal consistency. The current study examined pre-performance routine times and degree of difficulty of the top 16 state divers in the mid-western United States. Each of the 16 participants in the study performed 10 different dives with varying difficulty and scores. Significance was found between the top eight finishers and bottom eight finishers in mean pre-performance time. The top eight finishers had a mean pre-performance time of 6.18 seconds and the bottom eight finishers mean pre-performance time was 4.93 seconds. Significance was also revealed across the degree of difficulty of dives (easy, moderate, and hard) and their pre-performance times. Results support previous findings that suggest duration of pre-performance routines increase as difficulty increases, resulting in improved performance.

**Key Words:** Pre-performance routines, diving, duration

### Introduction

Pre-performance routines are intended to enhance performance by eliminating distractions and helping performers transfer thoughts from task-irrelevant to task-relevant cues (13). Pre-performance routines can occur in any type of sport; it appears to be most beneficial with self-paced tasks and closed-skill sports (e.g., tennis, bowling, and golf) (4). Pre-performance routines have been examined in a variety of fashions and across many sports. Two avenues of research that have emanated have examined the behavioral consistency and/or the temporal consistency of pre-performance routines.

The majority of pre-performance routine research has investigated behavioral consistencies that include specific movement patterns before and during execution of skills (e.g., dribbling a basketball, practice swings, etc.). Results of behavioral consistencies amongst pre-performance routines offer varying conclusions. For instance, Czech, Ploszay, and Burke (3) exmined the behavioral consistency of pre-shot routines in basketball free throw shooting. Results were not significant between routine or non-routine groups, however, the authors found a six percent increase in the free-throw percentage as the behavioral consistency of the pre-performance routine increased. In the most in-depth pre-performance routine research to date, Lonsdale and Tam (8) examined both temporal patterns and behavioral consistency of free-throw shooters of fifteen NBA players during the playoffs. Results revealed that players who adhered to behavioral routines were significantly (12.47%) more consistent free-throw shooters than those who were consistent with respect to duration alone.

The duration of pre-performance routines and performance outcomes also appears to be equiovical (1,5,7,8,14). Wrisberg & Pein (14) naturalistically observed the duration of collegiate basketball players pre-performance routines for free-throw shooting. They found a negative correlation (r = -0.41) between their free-throw percentage and routine duration. Similarly, Bell and colleagues (in-press) examined the temporal consistency of putting routines of collegiate golfers. The authors examined two separate NCAA Division I collegiate golf tournaments. The within-subject design across fifteen golfers revealed that deviation in pre-performance time resulted in a significant decrease in putting performance.

On the other hand, Jackson (5) examined 572 place kicks across 13 participants during the 1999 Rugby Union World Cup. The author examined difficulty of kicks, concentration times, and physical preparation times. Results revealed no differences amongst the best and worst kickers, but more importantly as situational pressure increased, players had longer concentration times (5). These results extended previous results suggesting that temporal consistency of pre-performance routines varies (6). In addition, research with elite tennis players and their pre-service routines showed a lack of temporal consistency amongst service routines with no significant difference in outcomes (4).

Varying results across behavioral and temporal consistencies of pre-performance routines may be due to the idiosyncratic tendencies across sports. For instance, examination of rugby kickers found that pre-performance routines were altered due to external factors such as time-outs and substitions (5). In addition, while no consistent service routines were found amongst elite tennis players, the authors only examined the first tennis serve (4). Tennis serving allows two service opportunties and within the professional ranks, first serves are intended for winning and/or establishing the point, which may cause more performance errors altogether. Delving further, Lonsdale & Tam (8) did not distnguish their analysis between type of free-throw attempts (e.g., one and one, two-shot, or one shot attempt) which may also have impacted results.

The sport of competitive diving is unique, and provides an excellent testbed for examining pre-performance routines. Each dive has a pre-determined degree of difficulty (DD) that increases with the number of twists and somersaults (10). Since difficulty and situational differences may account for increases in pre-performance times in other sports (5), analysis of pre-performance routine duration with specific difficulty ratings is warranted. The sport of diving actually operationally defines preparation time as any movement prior to take-off, which is the approach steps in a forward dive and the movement of the board for a reverse dive (10). Thus, due to the lack of any discernable behavioral measures, examining temporal patterns of pre-performance routines in divers is advantageous.

Research has yet to examine the pre-performance routines of a closed-skill, self-paced sport such as diving. The purpose of the current study was to examine the duration of pre-performance routines of high-school divers during a major competition to determine the extent of the significance, if any, with relation to the difficulty and outcome of the dive. Due to the lack of consistent findings across various sports, no formal hypothesis was formulated regarding the potential relationship between pre-performance routine and outcome. However, coinciding with results from Jackson (5) and Jackson and Baker (6), it was hypothsized that increased degree of difficulty dives would result in longer routine durations.

### Methods

#### Participants

Participants were 16 female high-school level divers during a state championship meet. There were six seniors, four juniors, five sophomores, and one freshman. The authors used naturalistic observation in which the participants were unknowingly observed. Due to sensitive material for the demographics, no anthropometric data (e.g., height/weight) was made public, thus none was collected.

#### Setting

The research study took place at an indoor Division I collegiate aquatic facility. All dives took place on a one-meter springboard with 16 participants performing all 10 dives.

#### Design & Procedures

The current study involved direct observation by two researchers in which the participants were unknowingly being observed. The variable of pre-performance time (PPT) initiated when both feet of the participant were set in a fixed position on the diving board. The PPT ended when the participant took the first step towards the end of the board for a front approach or when the arms began to swing on a reverse dive. These two criteria were selected due to their consistency amongst all routines (10).

Degree of difficulty (DD) was recorded for each diver and was separated into three categories (easy, moderate, and hard). Degree of difficulty is the perceived difficulty in accordance with the local state high school association guidelines and is established prior to each competition year.

Easy Dives – Individual dives with a degree of difficulty ranging from 0-1.8.

Moderate Dives – Individual dives with a degree of difficulty ranging from 1.9-2.1.

Hard Dives – Individual dives with a degree of difficulty from 2.2 or higher.

Last, each diver compiled a Total Dive Score (TDS) for each dive. Each individual dive is given a score based upon 7 judges hired by the state high school athletic association. The highest two and the lowest two judge scores were dropped from the scoring. The remaining three scores were added together and multiplied by the degree of difficulty for that particular dive to form a total dive score.

(Judge score 1 + Judge score 2 + Judge score 3) x Degree of Difficulty = Total Dive Score

#### Data Collection Procedure

All ten rounds of dives were observed directly by two researchers. The researchers used a stopwatch to time the length of pre-performance routine to the tenth of a second. To help ensure reliability of measurement, the slower of the two times was used. Any times from the researchers that deviated from each other by over 5 tenths (.5) of a second were not used. The researchers also hand wrote the total dive score for each particular dive. Each measurement was put into a spreadsheet at the time of the study. Participants were given an identification label so that inferences could be made later in the study.

#### Data Analysis

The researchers used a median split strategy similar to Jackson (5) to identify the best and worst performers. In order to investigate differences in PPT for the highest and lowest scoring performers, the divers were separated into the top and bottom halves, using their total scores. The mean PPT values of the groups were then compared using an independent samples t-test to determine whether there were significant differences in time taken prior to dive for the highest and lowest scoring individuals.

In addition, a mixed effects analysis of covariance (ANCOVA) was used to examine the relationship between PPT and total dive score (TDS), as well as to compare the mean total dive score across the three dive difficulty conditions (Easy, Moderate and Hard). Sidak’s pairwise multiple comparison procedure was used to follow up a statistically significant dive difficulty effect (11). As well as testing the major effects of interest in this study, the mixed effects model also accounted for the repeated measures (10 dives) for each competitor.

### Results

Sixteen participants completed 10 rounds of dives. Total PPT was (M= 5.53, SD = 2.76 seconds) across 160 total dives. Results revealed a significant difference between the top eight finishers and bottom eight finishers at p < 0.05The eight participants with the highest dive scores displayed PPT (M= 6.18, SD= 2.93 seconds) which was significantly longer than the PPT (M=4.93, SD=2.42 seconds) of eight participants with the lowest scores Means and standard deviations across all 10 dives for the two groups are presented in Table 1.

Results from the mixed effects model appear in Table 2. Both PPT and DD were treated as fixed effects, while the diver was treated as a random effect in this analysis. The slope relating PPT to the total score was statistically significant and positive, b= 0.089, SE= .028, df =155, p= .002, 95% CI [.033, .144] indicating that the longer the PPT the higher the total score on a given dive. This model also revealed a significant difference between levels of DD on the mean final score.

Table 3 shows the mean and standard deviation of total dive score (TDS) for each of the degree of difficulty (DD) groups. As described previously, in order to determine which means were significantly different across DD, Sidak’s (11) method for multiple comparisons was used. Statistically significant differences across levels of DD were found for all comparisons except between the hard-to-moderate groups. The easy to moderate and easy to hard DD groups had significantly different means (p<0.001), as did the moderate to easy and hard to easy DD groups (p<0.001).

### Discussion

Pre-performance routines have been noted across various sports and in different fashions (13). However, research is equivocal regarding duration and performance outcomes. To date, research has yet to examine pre-performance routines that account for specific degrees of difficulty. The purpose of this study was to examine possible relationships between the duration of diver’s pre-performance routine, degree of difficulty, and outcome.

Results revealed that the top eight finishers took significantly longer in the preparation time than the bottom eight finishers of the competition. There was over a one second difference (1.25 seconds) between the two groups, which is contrary to recent research suggesting no difference in preparation times between the best and worst performers (5).

In support of the hypothesis, results indicate that the degree of difficulty had a significant effect on pre-performance times, as dives increased in difficulty, pre-performance times also increased. These findings appear consistent with current research in that preparation times increased with regard to difficulty (5, 6).

Contrary to other pre-performance routine research (8), the sport of diving appears to distinquish pre-performance routines as cognitive rather than behavioral due to the lack of any movement prior to takeoff (10). Thus, it is safe to assume that the pre-performance routines by the divers consisted of strictly cognitive preparation (e.g., self-talk, imagery) as opposed to any observable behavioral tendancies (e.g., dribbling a basketball). Although speculative, due to the methodology and scores of the dives, more difficult dives seemed to require additional mental processing as opposed to easier dives with little thought (12).

Methodologically, one should consider the closed skill of competitive diving. Perhaps after the first several rounds, some divers could not significantly advance in the standings and merely “went through the motions” on the springboard. On the other hand, the top-positioned divers may have taken more preparation time as result of their scores and positions. Unfortunately, due to the lack of qualitative measurements of the divers themselves, this limitation should be acknowledged. In addition, the lack of insight into the athlete experience appears to be a major limitation of all recent pre-performance routine research (1,4,5,8,9).

Wrisberg and Pein (14) state that the skilled performer will demonstrate a more consistent routine than a less skilled performer despite individual differences. While Wrisberg and Pein (14) examined basketball players across an entire season, the current study only directly examained one major competition. The changes in pre-performance time in the current study may be attributed to the previous diving and competition experience. It may also be neccesary to suggest the small sample contributed to these findings.

Whereas the sport of diving lends credence to the temporal consistency of pre-performance routines, further research is needed. A triangulation of data collection may yield greater results. Specifically, a within-subject design that examines both the duration of routines and behavioral components, and obtains qualitative inquiries from divers appears to offer a concrete strategy of data collection. Most important is the data collection of repeated measures across an entire season (14).

### Conclusion

To date, the current study is the first to examine divers’ pre-performance routines. Consistent with previous research, as difficulty increased, performers had longer pre-performance routines (5). There was also a significant difference in pre-performance routines between the top eight finishers and the bottom eight finishers. In contradiction to past research results (1,8), longer preparation times may be indicative of improved performance. Lastly, examining the temporal consistency of pre-performance routines for a self-paced skill appears to provide insight into concentration times and, in turn, effective performance.

### Applications in Sport

Cohn (2) states that within any routine is the sport itself, along with actual nature of the required task. Whereas, it is difficult to transfer these findings across sports that incorporate behavioral tendencies (e.g., golf, rugby, basketball), athletes should nonetheless develop consistent pre-performance routines. Consistent with previous research, the most important aspect of pre-performance routines appears to be an appropriate attentional focus (8). Coaches across all sports should help athletes incorporate effective attentional cues (e.g., internal/external) within their routine depending on the skill level of the performer (for a review see Lindor & Singer, 7). As mentioned previously, future pre-performance routine research should incorporate a triangulation of data that encompasses temporal, behavioral, and qualitative data within applied sport settings.

### Tables

#### Table 1
Mean (standard deviation) PPT* of All Dives Examined from the Top 16 Finishers

Category Number of Dives PPT (seconds) SD (seconds)
All Drivers 160 5.53 (2.76)
Top 8 Finishers 80 6.18 (2.93)
Bottom 8 Finishers 80 4.93 (2.42)

* PPT=Pre-performance time

#### Table 2
Effects of PPT* and DD** Groups with Type III Tests of Fixed Effects with the Score as the Dependant Variable

Source Numerator df Denominator df F P
Intercept 1 62.571 740.577 0.000
PPT 1 155.110 10.091 0.002
DD Group 2 145.908 31.658 0.000

**Note:** Dependent Variable is Score
* PPT=Pre-performance time
** DD=Degree of difficulty

#### Table 4
Total Dive Score means of DD* Groups

Group Mean (SD)
Easy 6.74 (0.95)a
Moderate 5.86 (0.65)b
Hard 5.70 (1.09)b

Note: Means that do not share subscripts (e.g., a, b) differ at p

#### Graph 1
Total Dive Score means of DD* Groups
![Mean score](/files/volume-13-number-4/5/graph-1.jpg “Mean score”)
Note: * Significance at 001.

### Corresponding Author
Robert J. Bell, Ph.D
HP 222-E
Ball State University
Muncie, In 47306
<robbell@bsu.edu>
765-285-3286

### Author Bios

Robert J. Bell, Ph.D
Ball State University

W. Holmes Finch, Ph.D
Ball State University

Zach Whitaker, M.A.
Santa Clara Diving

2013-11-25T17:12:24-06:00October 4th, 2010|Sports Exercise Science, Sports Management, Sports Studies and Sports Psychology|Comments Off on Duration of Pre-performance Routines of Divers and Performance Outcomes
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