ISSN: 1543-9518|Vol. 24

The Lifestyle and Sport Activity of Secretaries

Jera Zajec, Mateja Videmšek, Maja Meško, Jože Štihec (assist. Jera Zajec, Ph.D., University of Ljubljana, Faculty of Education prof. Mateja Videmšek, Ph.D., University of Ljubljana, Faculty of Sport assist. Maja Meško, Ph.D., University of Primorska, Faculty of Management asoc. prof. Jože Štihec, Ph.D., University of Ljubljana, Faculty of Sport)

### Abstract

#### Purpose
The aim of the study was to analyse the sports activity and lifestyle of secretaries in Slovenia.

#### Methods
A questionnaire with 37 variables was completed by 104 secretaries from different places within Slovenia. We calculated the frequencies and contingency tables, whereas the statistical characteristics were determined on the basis of a 5% risk level.

#### Results
We established that 26% of the secretaries were obese; most of the time secretaries are sitting down, working with their fingers, and are in forced positions. 56% of the secretaries occasionally take medicines; most of their pain occurs in the neck region, of the back, the shoulder region and in the loins; other common problems include insomnia, emotional exhaustion, and headache. The majority of secretaries engage in sporting activities on the weekend and 2 – 3 times weekly; most of them practiced sport in an unorganized way, with their family or by themselves. A good 20% engaged in an organized sport in a sport club or society, where fitness can also be classified. A good 20% practiced sport in an unorganized way, with their friends. It was established that those secretaries who engaged in an unorganized sport activity were accompanied by their friends or family. Those practicing an organized sport were mainly alone.

#### Conslusion
Secretaries who are frequently active often have a lower Body Mass Index (BMI), take painkillers less often or never, and believe that sport has a great impact on their health.

#### Applications in Sports
Sports clubs and associations should prepare appropriate activities for secretaries which will fullfil their interest, health, and wellbeing.

**Key words:** working conditions, wellbeing, health.

### Introduction

Modern professions are completely different from those undertaken in the past. Cutting-edge technology, robotics, and computer science have disburdened the human labour force and thus caused an increase in the demand and supply of office workers (secretaries, administrators, clerks etc.) whose sedentary jobs are characterized by long hours in forced postures. It is clear to see that the working conditions have drastically changed. Besides that, the leisure time and leisure activity preferences have also changed. According to the results of the latest studies, sport and recreation activities are being promoted and are increasingly gaining ground (13). The effects were first seen with highly educated people as they are aware of the potential negative consequences of a sedentary lifestyle, which is why they include a suitable sport activity in their everyday life (7, 9, 10). The fact that Slovenia is among the top European Union (EU) member states in terms of the physical activity of the population is more than encouraging. However, the latest studies show that 37.91% of adult residents of Slovenia are physically inactive (11). Due to the pressure to achieve higher productivity at work, the desire to be promoted and the aspirations for a higher income there is simply not enough time to engage in sport (8). People of different professions find themselves constantly pressed for time.

The work of secretaries is highly specific. Secretaries spend most of their working time in forced postures, sitting in unventilated offices, looking at a computer monitor most of the time, memorising huge amounts of information, and this all burdens them psychically and physically. Due to the many positive impacts of sport on physical, emotional and mental well-being (the condition of being contented, healthy, or successful) and given the nature of their work, it is highly recommended that secretaries engage in a sport activity (12). Long hours of sitting in front of a computer in a bent posture are detrimental to the human body. An appropriate sport activity can alleviate or even eliminate problems caused by a sedentary job (6). What is meant by appropriate sport activity is a recreational physical activity which positively affects both health and well-being (mood, sleep and self-confidence) (1).

This study aimed to establish the correlation between the sport activity of secretaries and some selected healthy lifestyle factors. For this purpose, a sample of secretaries was surveyed to establish the correlation between secretaries’ sport activity and the characteristics of their living environment as well as between the state of their nutrition and the type of their sport activity. We also established the frequency of health problems which precondition secretaries’ active engagement in sport activities.

### Methods

#### Sample of subjects

The sample included 104 randomly selected secretaries from different parts of Slovenia. The sample was selected at the congress of secretaries. The subjects were aged 23 to 61 years, while their average age was 41. Their jobs included personal assistant, business secretary and administrator.

#### Sample of variables

The study was based on a survey questionnaire consisting of 37 questions which enquired about social, environmental and work factors, the frequency and type of sport activity, nutrition, health condition, and psychical well-being (14). The data acquisition process was carried out in compliance with the Personal Data Protection Act. Subject gave informed consent for this study. The study was approved from the Etics Commission.

#### Data-processing methods

The data were processed using the SPSS-15.0 statistical program at the Computer Data Processing Department at the Faculty of Sport in Ljubljana. The basic statistical parameters and contingency tables were calculated. The subprograms FREQUENCIES and CROSSTABS were used for the calculation. The probability of a correlation between the variables was tested by a contingency coefficient. The statistical significance of the differences was accepted at a two-way 5% alpha error level.

### Results

#### Body characteristics

Body weight and height were self-reported. BMI was calculated from those data. Average BMI for secretaries was 23.7, indicating that the secretaries participating in the study had a normal body weight.

#### Working conditions

The secretaries’ working conditions varied (Table 1): sitting, standing – straight, standing – bending, lots of walking, working with fingers, working with hands, frequent forced posture (head and neck, turn of the torso, deep bending posture). Most secretaries spend almost all day sitting on a chair, working with their fingers and are in a forced postures. 10% of them stated these three combinations and 10% the combination of sitting and working with fingers

#### Taking work home

Secretaries often take work home with them. Sometimes they have to finish assignments at home, at other times they bring home their stress, problems, and burdens. Nearly 70% of the secretaries confirmed they sometimes feel the pressures of their work when at home (Figure 1).

#### Secretaries’ current health condition and their taking of painkillers

Most secretaries (57.7%) assessed their health condition as good. As many as 56% of them occasionally take medicines. It is statistically characteristic that those secretaries who take medicines more frequently less frequently engage in a sport activity. We established that nearly 40% of the surveyed secretaries never take any painkillers. Occasional use was reported by 56% and frequent use by 5%.

#### Secretaries’ injuries in the past three months and health problems

91.3% of the secretaries reported no injuries had been sustained in the past three months. The most frequent pains occurred in the neck, shoulder girdle, and the lumbar part of the spine. Also frequently reported were insomnia, emotional exhaustion, and headache. Other pains occur less frequently.

#### Secretaries’ absences from work

We established that 75.5% of the secretaries had not been absent on sick leave in the past six months. In the same period, 17.6% of the secretaries were on sick leave for less than 14 days. The reasons for their sick leave mainly included respiratory diseases (53.3%), care for other family members (16.7%), and injury at work or outside work (6.7%).

#### Secretaries’ assessment of the impact of sport on their health

It was established that the secretaries were aware of the importance of sport activity for their health, as nearly one-half (45.6%) of them assessed the positive impacts of sport on their health as strong, whereas the rest (53.4%) assessed them as very strong.

#### Frequency of engaging in sport

Most of the secretaries engaged in sport on weekends and 2-3 times a week. Only 4.9% of them stated they never engaged in sport (Figure 2). The time most of the secretaries dedicate to sport ranges from 35 minutes to 2 hours.

#### Types of sport activities

It was established that the secretaries engaged in several different sports at a time. The most practiced sports include cycling, fast walking, mountaineering, and swimming; skiing is also popular. One-quarter of the secretaries practice racquet sports. These sports constitute a type of physical activity which one may adapt to one’s momentary well-being and general physical fitness and, what is more, they enable the venting of psychical tensions typical of a secretary’s work. Degenerative changes in the body are not an obstacle to practicing racquet sports.

#### Method of practicing sport

Most of the secretaries practice sport in an unorganized way, with their family or by themselves. A good 20% of them engage in an organized sport in a sport club or society and the same percentage practice sport with their friends in an unorganized way. Racquet sports are undoubtedly among those activities which require only a small financial input and can be practiced nearly everywhere due to the availability of sport facilities and grounds and the fact that they can be modified to suit individual needs. It was established that those secretaries who engaged in a sport in an unorganized way were accompanied by their friends or family. Those who practiced an organized sport were mainly doing it by themselves.

#### Sport inactivity and motives for sport activity and against it

The reasons for sport inactivity lie primarily in the lack of time, fatigue, and lack of motivation, as well as inadequate organization. The motives for sport activity relate to different reasons: practice sport means to relax, maintain and improve one’s health, maintain and improve one’s physical fitness, and have a good feeling from doing something for oneself.

#### Impact of sport activity on well-being

Most of the secretaries who practice sport are more self-confident and efficient in their work. A good mood and relaxation are typical indicators of well-being and the secretaries reported being full of vitality and energy. They also enjoy better sleep after a sport activity. They reported that their tenacity, strength, flexibility, and adroitness have improved. Most of them claimed they were able to better withstand psychological pressures. All but one agreed they were not tired more than usual after engaging in a sport activity. The same was true for pain in the legs. Only three of them thought that pain in their legs was due to sport activity.

#### Employers’ role in the secretaries’ sport activity

Most of the secretaries believed that sport and recreation belonged to the private sphere of each individual. 20% of them thought that their employer should support their sport activity at least morally. The same percentage of secretaries said their employer sponsored sports events and employees’ sport clubs. Only three secretaries wished for sport activities to be included in the work process (exercises in the workplace, recreational facilities in the company). The employers did not award their employees for sport achievements (Figure 3).

The selected variables (14) were cross-checked using contingency tables in the CROSSTABS subprogram of the SPSS statistical package and the results showed a statistically significant correlation between the BMI and frequency of engaging in sport (k = 0.644, p = 0.001). A more frequent engagement in sport conditioned a lower BMI. The differences between taking medication and a frequent engagement in sport were also statistically significant (k = 0.444, p = 0.034). The more physically active secretaries only rarely took painkillers or never. The assessed health condition and frequency of engaging in sport were also statistically significantly correlated (k = 0.490, p = 0.004). A more frequent engagement in sport preconditioned a good health condition. The secretaries’ opinion on the impact of sport on their health and the frequency of engaging in sport were also statistically significantly correlated (k = 0.593, p = 0.002). The physically active secretaries believed that sport had a strong impact on their health.

### Discussion

The World Health Organization (WHO) defines obesity as excessive fat accumulation that presents a risk to health (1977). Women generally have more body fat than men. Men and women whose fat exceeds 25% and 30%, respectively, are obese. The results of our study showed that 26% of the secretaries were obese. In an extensive study involving the adult population of Slovenia, Zaletel Kragelj and Fras (15) established that as many as 40.1% of the individuals surveyed were obese and 38.5% had a normal weight. This leads us to conclude that the surveyed secretaries had a lower BMI than the Slovenian average. With reference to the above, in the future it would be reasonable to establish the ratio between the muscle mass and fat mass.

Good working conditions are certainly an essential element of the better performance of an employee, which is why good employers always strive for a better working environment for their employees (12). It was established in our research that the secretaries mainly work in the following working conditions: sitting, standing – straight or bending, and lots of walking. The study results showed that the secretaries most frequently sit, work with fingers and in forced postures. Due to such working conditions they should do specific gymnastic exercises several times a day to compensate for their long maintained sedentary positions.

Another important finding of our study was the frequency of taking medication. It these research was established that as many as 56% of the secretaries occasionally take medicines. Other researchers have found similar findings (14). In their research was namely established that the majority of people (even 70%) suffer from various intestinal difficulties for several years as a result of taking painkillers such as ibuprofen. They reported taking painkillers all too often.

Our findings about the secretaries’ injuries in the previous three months are encouraging because as many as 91.3% of the secretaries had sustained no injuries in the said period. We established that 75.5% of the secretaries had not been absent on sick leave in the past six months. In the same period, 17.6% of the secretaries were on sick leave for less than 14 days. The reasons for their sick leave mainly include respiratory diseases (53.3%), looking after other family members (16.7%) and injury at work or outside work (6.7%). The predominant diseases in terms of the percentage of absences on sick leave were diseases of the skeleton and bone system and connective tissues, followed by injuries and infections outside work, with injuries and infections at work occupying third place. In women, frequent reasons for an absence include pregnancy and diseases in the prenatal and postnatal periods (2). This is also comparable with the findings of our research.

As regards the secretaries’ current health conditions, it can be concluded that they correspond with the Slovenian average; however, the latter is considerably higher than that in the EU. A comparison with a relevant EU study reveals that Slovenians are more burdened by health problems caused by work. Nearly every second employee reports pain in the back (45.9%), one-quarter (25.7%) complain about frequent headaches and four employees out of ten (38.2%) suffer from muscle pain. The EU averages are considerably lower (3, 5).

The analysis of the secretaries’ opinions about the importance of sport, frequency, type and method of engaging in sport yielded the results presented in the continuation. We assess the secretaries’ opinion about the importance of sport activity as good. An opinion as such is not enough, but the findings show that the secretaries corroborate their views with concrete activities. Namely, 55.7% of them practice a sport between 35 minutes and two hours mainly two to three times a week. In view of the Slovenian average established by Doupona Topič and Sila (4), namely that the Slovenian active population engages in sport 3.25 hours a week on average, we realised that the secretaries can be classified among the physically active population of Slovenia. In terms of the chosen type of sport activity, with the most popular being cycling, fast walking, mountaineering and swimming, this can be compared to the Slovenian average, for women, where high percentages also represented morning gymnastics, equestrian sports and martial arts (4). Most of the secretaries practiced sport in an unorganized way, with their family or by themselves. A good 20% engaged in an organized sport in a sport club or society, where fitness can also be classified. A good 20% practiced sport in an unorganized way, with their friends. It was established that those secretaries who engaged in an unorganized sport activity were accompanied by their friends or family. Those practicing an organized sport were mainly alone. The results of the Slovenian average show that unorganized sport activities are still predominant in Slovenia as 40.2% of people practice sport in this way. Less than 25% of the population practice organized sports (4). We believe that an employee’s opinion about sport and their method of engaging in sport (unorganized) is also influenced by their employer. Most secretaries (59.3%) answered the question about their employer’s support of their sport activity by saying that the employer considered sport activity as a private sphere of life. 25.3% of employers support sport activity at least morally.

### Conclusion

It has been established that sport activity plays an increasingly important role in the everyday life of the secretaries. Due to specificity of their work which exerts psychical and physical pressure on them secretaries are engaging in sport more frequently. This positively affects their well-being, health, general fitness, and lifestyle. In our sample, the frequency of practicing a sport and the time of practice were comparable to and higher than the Slovenian average for adults of the same age. The type of sport activity was also comparable. In our opinion, more attention should be paid to the organization of sport activities as the majority of secretaries engage in an unorganized physical activity. It was also established that the secretaries hoped for some organized types of sport that would be provided by their employers. The latter insufficiently support their secretaries’ sport activity. Most of them believe that sport is a private sphere of life, not part of work. They support sport activity only morally as they mainly fail to award sport achievements, sponsor sport events or include sport activities in the work process.

### Applications In Sport

The secretaries are aware of their work, presumptions, and life. They proved this with their low rate of absences on sick leave. They should be offered more possibilities for engaging in organized sport activities and be supported by their employers financially, not only morally. Consequently, they will reduce their excessive use of painkillers and alleviate the pain in their neck, lumbar part of the spine and shoulder girdle, which are consequences of the frequent forced postures they must adopt. At the same time, they will also improve their psychical, physical, and social life.

### Acknowledgments

Authors agree that this research has non-financial conflicts or interest. This includes all monetary reimbursement, salary, stocks, or shares in any company.

### References

1. Backović Juričan, A., Kranjc Kušlan M., & Mlakar Novak, D. (2002). Slovenia on the move project – move to health. International conference: Promoting health through physical activity and nutrition. Radenci: 68-70.
2. Bolniški staž. [Sickness absence of the job]. Retrieved August 5, 2010, from Institute of Public Health of the Republic of Slovenia, Web site: <http://www.ivz.si/Mp.aspx?ni=78&pi=6&_6_id=52&_6_PageIndex=0&_6_groupId=2&_6_newsCategory=IVZ+kategorija&_6_action=ShowNewsFull&pl=78-6.0>
3. Dobre delovne razmere v Sloveniji ogrožata visoka stopnja delovne intenzivnosti in zdravstvene težave, ki jih povzroča delo. [Good working conditions in Slovenia threatens a high degree of labor intensity and health problems caused by work]. Retrieved May 17, 2009, from Eurofound, Web site: <http://www.eurofound.europa.eu/press/releases/2007/070917_sl.htm>.
4. Doupona Topič, M., & Sila, B. (2007). Oblike in načini športne aktivnosti v povezavi s socialno stratifikacijo [Types and methods of sport activity in relation to social stratification]. Šport, 3: 12-16.
5. Gibson, S., Lambert, J., & Neate, D. (2004). Associations between weight status, physical activity, and consumption of biscuits, cakes and confectionery among young people in Britain. Nutrition Bulletin, 4: 301.
6. Görner, K., Boraczyński, T., & Štihec, J. (2009). Physical activity, body mass, body composition and the level of aerobic capacity among young, adult women and men. Sport scientific and practical aspects, 2: 5-12.ž
7. Meško, M., Videmšek, M., Štihec, J., Meško Štok, Z., & Karpljuk, D. (2010). Razlike med spoloma pri nekaterih simptomih stresa ter intenzivnost doživljanja stresnih simptomov. [Gender differences in some symptoms of stress and intensity of experiencing stress symptoms] Management, 2: 149-161.
8. Mlinar, S., Štihec, J., Karpljuk, D., & Videmšek, M. (2009). Sports activity and state of health at the casino employees. Zdravstveno varstvo, 3: 122-130.
9. Mlinar, S., Videmšek, M., Štihec, J., & Karpljuk, D. (2009). Physical activity and lifestyles of Hit casino employees. Raziskave in razprave, 3: 63-88.
10. Morabia, A., & Costanza, M.C. (2004). Does walking 15 minutes per day keep the obesity epidemic away? American Journal of Public Health, 3: 437-440.
11. Sila, B. (2007). Leto 2006 in 16. študija o športnorekreativni dejavnosti Slovencev [Year 2006 and the 16th study on sport-recreational activity of Slovenians]. Šport, 3: 3-11.
12. Videmšek, M., Karpljuk, D., Meško, M., & Štihec, J. (2009). Športna dejavnost in življenjski slog oseb nekaterih poklicev v Sloveniji. [Sports activities and lifestyle of some employers in Slovenia]. Ljubljana: Faculty of sport, Institute for kineziology.
13. Videmšek, M., Štihec, J., Karpljuk, D. & Starman, A. (2008). Sport activity and eating habits of people who were attending special obesity treatment program. Collegium antropologicum, 3: 813-819.
14. Zajec, J. (2006). Povezanost športne dejavnosti tajnic z izbranimi dejavniki zdravega načina življenja. (Unpublished bachelor’s thesis). Ljubljana: Faculty of sport.
15. Zaletel-Kragelj, L., & Fras, Z. (2005). Stanje gibanja za zdravje pri odraslih prebivalcih v Sloveniji [The status of the exercise for health of adult population of Slovenia]. In: Expert conference ‘Exercise for Adults’ Health – status, problems, supportive environments. Ljubljana: Institute of Public Health of the Republic of Slovenia, 23-26.

### Tables

#### Table 1
Secretaries’ working conditions

Working conditions Frequency Percentage
Sitting 101 97.1
Standing – straight 11 10.6
Standing – bending 4 3.8
Lots of walking 28 26.9
Working with fingers 54 51.9
Working with hands 35 33.7
Frequent forced posture (head and neck, turn of the torso, deep bending posture) 40 38.5

#### Table 2
Types of sport activities

Sport Frequency Percentage
Cycling 53 57
Fast walking 47 50.5
Swimming 32 34.4
Mountaineering 32 34.4
Skiing 28 30.1
Racquet sports 25 26.9
Dancing 22 23.7
Rollerblading 18 19.4
Aerobics 17 18.3
Morning gymnastics 13 14
Yoga 8 8.6
Volleyball 7 7.5
Pilates 4 4.3

### Figures

#### Figure 1
Percentage of feeling the pressures of work at home

![Figure 1](/files/volume-15/452/figure-1.jpg)

#### Figure 2
Percentage of engaging in sport

![Figure 2](/files/volume-15/452/figure-2.jpg)

### Corresponding Author

assist. Jera Zajec, Ph.D.
University of Ljubljana
Faculty of Education
Kardeljeva ploščad 16, 1000 Ljubljana, Slovenia, Europa
<jera.zajec@pef.uni-lj.si>
gsm: 0038640757335

Jera Zajec, Ph.D. is the assistant professor in Faculty of Education in Ljubljana. She is a member of sport cathedra. Her bibliography contains article all over the word. Her interests in researching are wilde and contains development in motopedagogic for preschool children to adults.

2013-11-22T22:54:24-06:00January 5th, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology, Women and Sports|Comments Off on The Lifestyle and Sport Activity of Secretaries
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Effects of American Football on Height in High School Players

Brian Campbell, Torie Guidry, Matt Lopez, Kristina Estis and David Bellar

### Abstract

The aim of the present study was to investigate height change of high school football players during a single game. Ten high school football players served as participants. The participants were selected according to position and expected playing time. The chosen positions experience the repetitive longitudinal loading of the spine that may lead to a creep response in the vertebral disk. Height was measured using a standard physician beam scale with height rod. A practicing certified athletic trainer served as the tester for all measures (pre – post). A paired samples T-test was performed to determine significance between height before and after the game. A significant difference was shown in height magnitude (Mpre = 176.56±6.9cm, Mpost = 175.81±6.94cm, p = .032). The results indicate that high school football players’ height decreases during the course of a game. This process is likely due to the creep response caused by intermittent high impact compressive loading of the spinal column, as well as low impact continuous compressive forces from equipment weight.

**Key words:** American football, compression, spinal shrinkage, creep response

### Introduction

American football (football) places many physical demands on its participants due to the aggressive nature of the sport. External forces from running, blocking and tackling can cause much stress on the human body. Even with protective equipment such as helmets and pads, these forces are inevitable. During the course of a game, football players may experience substantial longitudinal loading of vertebral column from the compressive forces of running and tackling as well as the continuous load due to equipment mass. This loading of the spine may accelerate the creep response which could result in a decrease in height after a game.

Spinal creep is a process by which continual loading or compressive forces placed upon the spinal column cause a reduction in the vertical size of the intervertebral discs. This creep response is due to the viscoelastic properties of the intervertebral discs of the spinal column, and is also referred to as spinal shrinkage. When compressive loading of the spine exceeds the interstitial osmotic pressure of the discal tissue, water is expelled from the intervertebral discs. This results in a loss of disc height which is reflected as a loss in stature (11). Since the spinal column composes about 40% of total body length, and the intervertebral discs account for roughly one-third of the length of the spinal column (Reilly, 2002), fluid loss from the discs can potentially cause substantial change in stature.

Studies of the intervertebral discs have shown that by narrowing in response to compressive forces, the discs also stiffen, which alters the dynamic response characteristics of the intervertebral disc complex (7). Once the disc has been narrowed and stiffened, its ability to absorb sudden direct and indirect changes in force is reduced, and thus the disc is therefore more susceptible to injury (9), and is often suggested to be a major causal factor of back pain (8). Some of the sports that have the highest risk of these injuries are football, ice hockey, and rugby (1). Within the sport of football it is believed that there is an increase in risk factors associated with spinal creep that may cause many athletes to develop low back pain (5). Because specific spine injuries like fracture, disc herniation, and spondylolysis are more frequent in football players (5), the occurrence of spinal shrinkage during a football game may be greater than other activities.

Studies have investigated spinal shrinkage in various activities ranging from running (4), weight lifting (3) and circuit training (6), but currently there exists a gap in the literature surrounding spinal creep and American football. The compressive loads that can affect the vertebral column include gravity, changes in motion, truncal muscle activity, external forces and external work (13) all factors that can be involved in football. These factors may lead to an accelerated creep response which could result in a decrease in height after a game. In a sport such as football, any minute decrease in stature may mean the difference between blocking a last second field goal, or making a game winning catch. Chronic exposure to these factors may also lead to back pain or injuries to the spine or discs. Therefore, the purpose of this study was to investigate the amount of shrinkage due to spinal loading during a high school football game.

### Methods

#### Participants

Ten high school football players took part in the study. Mean values for height and weight were 176.6±6.9cm and 86.4± 9.5kg, respectively. All players were high school seniors aged 18 years and were selected according to position and expected playing time. The positions chosen were ones that experience the repetitive longitudinal loading of the spine that may lead to a creep response in the vertebral discs. This information was determined after interviewing the coach for the team and from observations made at other similar games. Based on these criteria, eligible (18yr old) players were recruited who started at the following positions: linebackers, running backs, and linemen. Players were also selected who would be likely to play the entire game with very few rest breaks.

#### Apparatus

A standard physician beam scale with height rod was used in this study for measuring changes in stature before and after participation in the game. All measurements were collected by a practicing certified athletic trainer. The apparatus was accurate to within 0.01 inches and all measurements were converted to millimeters.

#### Procedures

The football game used for this experiment was an evening high school football game, which took place after a regular day of school. An evening game was selected to ensure that any shrinkage occurring from normal daily activities would not affect the results of the study. Participants were measured barefoot while standing and wore t-shirt and shorts for both pre-game and post-game measurements. Pre-game measurements were taken prior to warm ups to ensure that starting heights reflected absolutely no football activity. Post-game measurements were taken immediately after completion of the game. Three consecutive measurements were taken each time by the certified athletic trainer to ensure that the apparatus was reliable.

#### Data Analysis

The effects of playing football on changes in stature were analyzed using a paired sample T-test. Post hoc power calculations were performed following any statistically significant finding. Comparisons were made between the pre- and post-game height measurements. All statistical analyses were performed with the use of a modern computer software package (SPSS 17.0 for Macintosh, G*Power 3). Statistical significance was set a priori at an alpha level > 0.05.

### Results

The mean and standard deviation for the pre-game height measurements was 176.6 ± 6.9 cm. Post-game measurements yielded a mean and standard deviation of 175.8 ± 6.9 cm. The results show that there was a significant increase in spinal shrinkage due to participation in a high school football game (p =0.032, power = 0.674). The average height loss for the ten participants was 7.62 (±SD = 9.25) mm.

### Discussion

The present study showed that participation in a high school football game causes measurable height differences before and after the game, the demonstrated mean loss of stature was 7.62mm. It can be assumed that the decrease in height is due to the increased external forces and equipment weight that are involved in the sport. These potentially lead to a rise in the intradiscal pressure and fluid to be expelled, resulting in a reduction in disc height. Though it is logical that loss of intervertebral disc height is responsible for all variations in height, it is also possible that the cartilage in joints and the soft tissue covering the scalp and soles of the feet may have been compressed. However, the total height of the intrajoint cartilage is small and the degree of compression is thought to be negligible (6). The soft tissue covering the scalp is also thin and the height rod of the scale used for measurement would compress the tissue to an insignificant level. The tissue covering the soles of the feet might also be compressed upon standing but it is likely that equilibrium was quickly reached (6). As a result, the measured changes in stature can be considered to reflect only the changes in disc height.

The spinal shrinkage recorded during a football game was greater than what was observed in previous research of other activities. The 7.62 mm decrease in stature in this study was greater than the 3.25 mm decrease during a 6 km run (6), 5.4 mm decrease during circuit-weight training (6), 3.6 mm decrease during weight training (3), and 1.81 mm during a drop jump regimen (2). Although shrinkage during participation in football was greater than other activities, it is not the greatest recorded occurrence of spinal shrinkage. The results of this study are comparable to the 7.8 mm loss in height during a 19 km run (6), and much less than the recorded loss of 11.2 mm during static loading with a 40 kg barbell (14).

A study that examined spinal recovery in pregnant women showed that women with lower back pain were unable to recover from spinal shrinkage to the same extent as women with no lower back pain (12). These findings suggest that lower back pain may be related to the diminished ability to recover, rather than the magnitude of the spinal shrinkage imposed during the task. Since there is believed to be a relationship between football and the development of lower back pain (5), this could suggest that football players may have a diminished ability to recover from spinal compression. This may be provoked by the magnitude and frequency of spinal loading that a football player is subjected to.

The inability of the spine to recover may also lead to serious acute and chronic injuries to the spine and discs. Football is considered to be one of the sports with the highest risks for the occurrence of spinal injuries (1). Many of the spinal injuries that are common in football include fractures, disc herniation, and spondylolysis (5). There may also be a positive correlation between the years of involvement in football and the chances of developing degenerative disc disease (5).

### Conclusions

Based on prior research, it can be assumed that more spinal shrinkage occurs during participation in a football game as compared to other less impactful activities because of a greater spinal load. Football players experience this load on the spine not only from running, but also from the static load from the weight of equipment and from direct impact forces caused by collisions with other players. Both these components, running (6) and static loading of the spine (14), have been found to cause accelerated loss in stature. This combination, along with the collisions during a football game, may be the reason for greater spinal shrinkage.

Although the present study was conducted on high school players, the results should be also consistent with higher levels of play. A previous study was conducted to compare the response to spinal loading between different age groups of males (10). When comparing younger males (18-25 years of age) and older males (47-60 years of age), it was found that regardless of age the pattern of spinal shrinkage between the two groups was similar. Based on this research, high school, college, and professional football players should experience a similar response to spinal loading during a game.

### Applications In Sport

In a game such as football, winning and losing can be a matter of inches. If a player decreases in height at the end of a game, the extra length could be the difference in catching a football, blocking a kick, or batting down a pass. Thus this height difference might be the difference between winning and losing. The degree of hydration may play a role in the extent of the creep effect and should not be overlooked. It may be beneficial to conduct future research on the effects of height decrease on athletic performance. Future research may also investigate if frequent practice of spinal unloading throughout a player’s career can prevent or reduce spinal injuries and back pain.

### References

1. Boden, B., Jarvis, C. (2009). Spinal injuries in sports. Physical Medicine and Rehabilitation Clinics of North America, 20(1), 55-68
2. Boocock, M. G., Garbutt, G., Linge, K., Reilly, T., Troup J. D. (1989). Changes in stature following drop jumping and post-exercise gravity inversion. Medicine and Science in Sports and Exercise, 22(3), 385-390
3. Bourne, N., Reilly, T. (1991). Effects of a weightlifting belt on spinal shrinkage. British Journal of Sports Medicine, 25(4), 209-212
4. Dowzer, C., Reilly, T., Cable, N. (1998). Effects of deep and shallow water running on spinal shrinkage. British Journal of Sports Medicine, 32, 44-48
5. Gerbino, P., d’Hemecourt, P. (2002). Does football cause an increase in degenerative disease of the lumbar spine? Current Sports Medicine Reports, 1(1), 47-51
6. Leatt, P., Reilly, T., Troup J. D. G. (1986). Spinal loading during circuit weight-training and running. British Journal of Sports Medicine, 20(3), 119-124
7. Markolf, K. (1972). Deformation of the thoracolumbar intervertebral joints in response to external loads. The Journal of Bone and Joint Surgery, A, 511-533
8. Nachemson, A. L. (1976). The lumbar spine: an orthopedic challenge. Spine, 1(1), 59-69
9. Perey, O. (1957). Fracture of the vertebral end plate in the lumbar spine: an experimental biomechanical investigation. Acta Orthop Surg Suppl, 25, 1-100
10. Reilly, T., Freeman, K. A. (2006). Effects of loading on spinal shrinkage in males Of different age groups. Applied Ergonomics, 37(3), 305-310
11. Reilly, T., Tyrrell, A., Troup, J. D. G. (1984). Circadian variation in human stature. Chronobiology International, 1, 121-126
12. Rodacki, C. L., Fowler, N. E., Rodacki, A. L., Birch, K. (2003). Stature loss and recovery in pregnant women with and without low back pain. Archives of Physical Medicine and Rehabilitation, 84(4), 507-512
13. Troup, J. D. G. (1979). Biomechanics of the vertebral column. Physiotherapy, 65(8), 238-244
14. Tyrrell, A., Reilly, T., Troup, J. D. G. (1984). Circadian variation in human stature and the effects of spinal loading. Spine, 10, 161-164

### Figures

#### Figure 1
Percent change in height pre- to post-game among high school athletes participating in American football.

![Figure 1](/files/volume-14/447/figure-1.jpg)

### Corresponding Author

Brian J. Campbell, PhD, ATC
Department of Kinesiology
University of Louisiana at Lafayette
225 Cajundome Blvd.
Lafayette, LA 70506
<campbell@louisiana.edu>
(337) 501-0634

Brian J. Campbell is the Curriculum Coordinator of Exercise Science at the University of Louisiana at Lafayette. Dave Bellar, PhD is the Exercise Physiology Lab Director at the University of Louisiana at Lafayette. Kristina Estis is a Certified Athletic Trainer for Champion Sports Medicine at St. Vincent’s Birmingham. Tori Guidry is an undergraduate student of Exercise Science at the University of Louisiana at Lafayette. Matt Lopez is a DPT student at the University of South Alabama.

2013-11-22T22:56:36-06:00January 3rd, 2012|Contemporary Sports Issues, Sports Coaching, Sports Exercise Science, Sports Studies and Sports Psychology|Comments Off on Effects of American Football on Height in High School Players
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Black Women “DO” Workout!

Sherldine Tomlinson

### Abstract

Many studies cite that women of African descent have lower physical activity levels and/or are more sedentary, than White counterparts. The lack of exercise among Black women results in them experiencing compromised life quality and reduced life expectancy. To combat the striking rates of cardiovascular-related diseases and to increase habitual exercise, health promotion interventions have been initiated designed for Black populations. Female participants in Project Joy, a church-based cardiovascular education programme, reported weight loss and lower blood pressure. This paper reviews a similar initiative; Black Women “DO” Workout! (BWDW), which makes innovative use of social media to encourage physical activity (PA) among Black women.

**Key Words:** women of African descent; exercise; social media

### Introduction

Numerous studies indicate that women of African descent have lower physical activity levels, and/or are more sedentary, than their White counterparts. A 2006 national health survey on physical activity levels in Canada found that when compared to Caucasian Canadian females, both African Canadian and South Asian Canadian women less moderately active (Bryan, Tremblay, Pérez, Ardern & Katzmarzyk, 2004). In a similar American study looking at Black, White, Hispanic and Asian women, the data revealed that only 8.4% of African American women completed the recommended level of regular physical activity (Eyler, Matson-Koffman, Young, Wilcox, Wilbur, Thompson, Sanderson & Evenson, 2003). Unfortunately, this lack of exercise participation among Black women contributes to a significantly increased health risk of cardiovascular-related complications such as hypertension, type 2 diabetes and obesity (Flegal, Carroll, Ogden & Curtin, 2010). A lack of active activities also results in Black women experiencing compromised life quality and reduced life expectancy.

In an effort to combat these striking rates of cardiovascular-related diseases and complications among women of African descent, and to increase their habitual exercise involvement, a number of health promotion interventions have been initiated across North America. These include offerings of free exercise sessions especially designed for Black populations. Evaluative studies of these types of exercise programmes suggest they produce appreciably positive outcomes. The female participants in Project Joy, for instance, an African American church-based cardiovascular education programme, reported weight loss and improvement in blood pressure after participating in the included exercise sessions (Jakicic, Lang & Wing, 2010). This paper reviews a similar programme, Black Women “DO” Workout! (BWDW), which makes innovative use of social media to encourage exercise among women of African descent.

The BWDW initiative was created and founded by Crystal Adell, a fitness enthusiast and personal trainer. Adell uses Facebook as a tool to encourage regular exercise participation among African American women. She describes BWDW as a grassroots movement for championing weight loss and healthy living, a crusade she says is much needed to address the sobering statistics that show 49% of African American women are obese, while approximately 66% are overweight (US Dept of Health and Human Services 2000). Adell notes that using Facebook, which allows her to facilitate communication between Black women, is her “personal attempt to work with a collective who are more than willing to share their fitness goals, services and lifestyle changes towards healthier living”(personal communication, 2010). Information included on the site covers topics from exercising, body image, healthy eating habits and eating disorders to the importance of fitness and nutrition during pregnancy. Adell suggests that the success of BWDW is based on “information sharing and by showing praise, encouragement, inspiration and support in the way of sisterhood and by championing individuals for their fitness goals, which ultimately keep others motivated in to want to do the same”(C. Adell, personal communication, 2010).

There is little doubt that BWDW is a success. Thus far the site boasts more than 85,000 members, mainly women of African descent, many of whom regularly visit and post to the site. While African American women make up the largest block of BWDW users, the site also attracts international members from Canada, England, African and the Caribbean. Launching an online social media page as a means to promote exercise adherence and encourage healthy lifestyles among Black women is clearly a new, unique and successful approach. In addition to being innovative, the strategy is also in accordance with the American Healthy People 2010 mandate to (1) increase quality and years of healthy life and (2) eliminate health disparities that are associated with race, ethnicity and social economic status (US Dept of Health and Human Services 2000). One of Healthy 2010 physical activity and fitness objectives is to increase physical activity levels among Africa Americans as disparities in exercise and/or physical activity levels continue to exist with this group and other populations including Hispanics, the elders and people with disabilities (US Dept of Health and Human Services 2000). Indeed, the Black Women “Do” Workout social media campaign offers the opportunity for women of African descent to make regular exercise and a healthy lifestyle a part of their daily routine.

The BWDW web page is attractive, functional, and perhaps most importantly, interactive. Members are encouraged to participate through such means as submitting healthy recipes to the ‘Chef de Cuisine’ e-cookbook and posting images to the photo album which showcases before and after pictures. There are also announcements about the monthly BWDW ‘meet-ups’ held in locations across the United States for women who want to connect in person, as well as a service that informs members about personal trainers available in their area of the country. And the site has become a space of promotion for several members who now compete in fitness and body building competitions after experiencing significant body transformations via exercise and through healthy eating. In addition, a range of BWDW merchandise are available for sale on the site.

Health policy makers and promoters across North America have acknowledged the need for a better understanding of Black women’s exercise behaviour as a basis for improving their traditionally low physical activity rates. The BWDW programme offers an opportunity for those in the health field to learn from, and about, Black women and provides a potential avenue for the dissemination of health information. Adell herself notes these opportunities, commenting that she would like to see collaboration between BWDW and “organisations like the American Heart Association, Go Red For Women, the African American churches and corporate organisations” (C. Adell, personal communication, 2010). She believes these kinds of partnerships “will allow for an enhancement of services to local African American areas and communities that statistically have a high demand for wellness, health and fitness related support” (C. Adell, personal communication, 2010).

The BWDW programme presents a best practises model for building supportive and effective health networks within communities of African descent. The site has proven to be a powerful tool for increasing exercise rates and thus helping to address the troubling prevalence of cardiovascular-related and other diseases that continue to plague women of African descent. It is hoped the BWDW programme will inspire ongoing dialogue about finding other effective means of supporting Black women to become active, whether via other social media software, or in more traditional in-person venues.

### References

1. Adell, C. (November 2010). Telephone interview with author.
2. Bryan, S.N., Tremblay, M.S., Pérez ,C.E,, Ardern, C.I., Katzmarzyk, P.T. (2006, Jul/Aug). Physical Activity and Ethnicity: Evidence from the Canadian Community Health Survey. Can J Public Health. 2006 Jul-Aug; 97(4):271-6.
3. Eyler, A.A., Matson-Koffman, D., Young, D.R., Wilcox, S., Wilbur, J., Thompson, J.L., Sanderson, B., Evenson, K.R. Quantitative study of correlates of physical activity in women from diverse racial/ethnic groups: The Women’s Cardiovascular Health Network Project–summary and conclusions Am J Prev Med. 2003 Oct;25(3 Suppl 1):93-103.
4. Flegal, K.M., Carroll, M.D., Ogden, C.L., Curtin, L.R. Prevalence and Trends in Obesity Among US Adults, 1999–2008. JAMA. 2010 Jan 20; 303(3):235-41.
5. Jakicic, J.M., Lang, W., Wing, R.R. Do African-American and Caucasian overweight women differ in oxygen consumption during fixed periods of exercise? Int J Obes Relat Metab Disord. 2001 Jul; 25(7):949-53.
6. US Dept of Health and Human Services. Healthy People 2010: Understanding and Improving Health. 2000 Washington, DC: Government Printing Office.

### Corresponding Author

Sherldine Tomlinson, MSc.
2-440 Silverstone Drive,
Toronto, Ontario,
M9V 3K8,
<srtomlinson@students.ussa.edu>
416 749-7723

2013-11-22T22:58:08-06:00January 3rd, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Black Women “DO” Workout!
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Effects of Augmented Visual Feedback and Stability Level on Standing Balance Performance using the Biodex Balance System

Steven F. Pugh; Robert J. Heitman, John E. Kovaleski; Chris M. Keshock; Shelley H. Bradford. University of South Alabama, Mobile, Alabama

### Abstract

This study compared the effects of visual feedback and stability level on standing balance performance using the Biodex Balance System. The analysis was performed on a 2 x 2 factorial design for the purpose of testing the main effects of the type of feedback (augmented visual feedback or none) and balance condition (less stable – Biodex level 2 or more stable – Biodex level 7). Four randomly assigned groups performed nine 20-second dynamic balance trials at stability level 2 or at level 7, depending on group assignment. The dependent variable was the mean stability index calculated as an average of the nine 20-seconds trials. A significant feedback by stability level interaction was found (P = .04). At stability level 7, augmented visual feedback mean stability index scores were better when compared to no augmented visual feedback (P < .001). No significant differences were found at stabilty level 2. Our data indicate that when balancing on a Biodex Balance System, as the degree of difficulty increases the effect of concurrent augmented visual-feedback is reduced.

**Key words:** balance, visual feedback, posture, augmented

### Introduction

Dynamic balance is critical for the acquisition and execution of motor skills. Balance training is used for injury rehabilitation, fall reduction, and sport and motor skill development. One commercial device used to quantify the degree of dynamic balance is the Biodex Balance System (4). The Biodex Balance System is an instrumented device that allows the tilting of a circular flat platform. The degrees of tilt from horizontal are measured and used to calculate an overall stability index (1). This index is a quantitative estimate used for the evaluation of an individual’s neuromuscular control as it pertains to the ability to maintain postural stability on an unstable surface (4).

One feature unique to the Biodex Balance System is that the stability of the balance platform can be increased or decreased, thus enabling control of the level of difficulty of the standing balance task. Biodex platform stability levels range from 1 to 8, with 8 being the most stable or least difficult to perform. Another feature of the Biodex Balance System is an attached LCD monitor that provides augmented visual feedback. The monitor provides information, via a screen tracing, concerning the subject’s ability to balance on the platform as the subject tries to maintain the cursor in the middle of the screen’s grid (4).

#### Theoretical Rationale

We were unable to find studies that compared the efficacy of augmented visual feedback at different levels of balance difficulty. As the stabilometer platform becomes less stable and thus more difficult, the ability to effectively process both intrinsic and augmented visual feedback may become increasingly difficult. This would be caused by a decrease in the amount of time available to process feedback information while balancing (11). The increase in time constraints as balance difficulty increases may also bring about a change in the type of motor control strategy used, i.e., open versus closed loop. During open looped motor control, the movement is executed entirely by the motor program without the use of sensory feedback (5,6). During closed looped motor control, an initial command is sent to the muscles which start the movement. The actual execution of closed loop movements, then, depends on sensory feedback which is used to monitor the movement (6). As the balance task becomes increasingly difficult, information processing demands may be increased because of the greater number and rate of balance adjustments that must be monitored. The less stable platform also brings about the rapid initiation of postural responses which limits the effectiveness of feedback mechanisms because of the inherent time delays (11). Horack and Nashner (1986) suggests that rapid postural actions are organized by a limited repertoire of open looped motor programs which do not require feedback for execution. Open looped strategies simplify the process of complex movement by incorporating knowledge of past experiences into motor programs enabling anticipation of events and reducing reliance on the slower feedback mediated responses associated with closed looped monitoring (6).
The purpose of this study was to determine the effects of concurrent augmented visual feedback and balance condition on standing balance performance using the Biodex Balance System. We postulate that concurrent augmented visual feedback will not be as effective at the less stable condition (Biodex stability level 2) when compared to the more stable condition (Biodex stability level 7). This hypothesized difference in the effects of visual feedback at the different levels of stability will be demonstrated in the form of a feedback by stability level statistical interaction.

### Methods

#### Participants

Forty healthy, male university students (age = 21.4 ± 3.6 years, mass = 70.3 ± 14.3 kg, height = 170 ± 3.1 cm) volunteered to participate in this study. No participants reported any sensory impairment or physical injury that hindered performance of the balance task, nor did any of the participants have previous experience with balance training on the Biodex Balance System. The study was approved by the university’s institutional review board, and informed consent was obtained from each individual before testing.

#### Instrumentation

The Biodex Stability System 945-300 (Biodex Medical Systems; Shirely, New York) was used to quantify bilateral standing balance (4). The system consists of a multi-axial tilting platform interfaced with a computer which records and calculates stability indices of standing balance. The platform stability can be varied by adjusting the resistance applied to the platform via one of 8 stability settings controlled by the system’s microprocessor-based actuator (14). Setting 1 represents the least stable platform and setting 8 the greatest platform stability. An 11.5 x 8.5 cm LCD display screen, located at eye level, provides visual feedback via a circular grid that visually shows a cursor tracing of the subject’s stability performance. The goal of dynamic balance testing on the Biodex Balance System during the augmented visual feedback condition is for the subject to maintain the cursor on the center of the circular grid for as long as possible during the test trial (8). During the no augmented visual feedback condition the goal was to keep the balance platform in a horizontal position while focusing straight ahead on a covered LCD screen. The Biodex Balance System has been shown to have high reliability.(8,14).

#### Procedures

Four randomly assigned groups with ten subjects in each group performed nine 20-second dynamic balance trials. The platform balance task required the subject to stand barefooted in a comfortable upright position with feet shoulder width apart with arms at sides. Groups 1 and 3 received augmented visual feedback during the balance task, while groups 2 and 4 received no augmented visual feedback. During the augmented visual feedback trials, the subject was instructed to keep the cursor directly in the middle of the screen while balancing on the platform. Group 1 performed the balance task at platform stability level 2 with augmented visual feedback. Group 2 performed at stability level 2 with no augmented visual feedback, which involved the subject performing the balance task while focusing straight ahead on a covered screen. Group 3 performed the balance task at stability level 7 with identical augmented visual feedback as used with group 1. Group 4 performed at stability level 7 with no augmented visual feedback which involved performing the balance task while focusing on a covered screen.

A familiarization session was conducted in which the participants were introduced to the testing protocol. Four 20-second practice trials were performed either at stability level 2 or at level 7, depending on group assignment. A 20-second rest period was allowed between trials. Participants assigned to the augmented vision condition practiced the balance task while being allowed to watch the balance tracing on the screen. Participants assigned to the no visual feedback condition practiced the balance task while viewing a covered screen.

Prior to the data acquisition trials, all subjects achieved a stable upright stance by positioning their feet shoulder width apart on the center of platform while looking straight ahead. The screen was either left uncovered or covered which was dependent on the assigned treatment group. The platform was then unlocked, requiring balance at the given stability level. Nine 20-second dynamic balance trials were performed. The same examiner (S.F.P.) administered the balance task in a non-distracting environment. If a participant lost control of balance that required grabbing the handrail, the trial was repeated. Three participants repeated one trial each. Two participants lost balance control more than once and were not included in the data analysis.

Platform stability levels 2 and 7 were chosen based on testing recommendations found in the literature and from pilot data (12). In addition, enough disparity between groups in terms of balance difficulty was necessary in order to ensure that statistical differences between feedback groups, if it in fact existed, could be found. A previous study reported that approximately nine 20-second trials could be safely performed in one practice session before participants reported fatigue (12). No participant was told their stability index scores or given any other information concerning their performance other than that given in the visual feedback conditions.

#### Statistical Analysis

A 2 x 2 factorial design was used to examine the effects of feedback and balance condition on dynamic balance performance using the Biodex Balance System. The first independent variable was type of feedback with two levels (augmented visual and no augmented visual). The second independent variable was balance condition with two levels (stability level 2 or stability level 7). The dependent variable was the mean stability index calculated as an average of the nine 20-seconds trials. The stability index is determined from the amount of platform tilt in degrees from a zero-centered balance-point (level). The index was calculated as the standard deviation of the platform displacement from horizontal obtained from each 20-second trial (4). A low stability index score indicates good dynamic stability or balance, whereas a high stability index scores indicates poor balance control.

A two-way univariate analysis of variance was conducted to examine the effects of the type of feedback and balance condition for the stability index score data. The α level was set a priori at .05. We used SPSS (version 18; SPSS Inc, Chicago, IL) to analyze the data.

### Results

Means and standard deviations for stability index scores are presented in Table 1. A significant main effect was found for balance condition (F1,36 = 105.134, P = .001), which means participants assigned to the easier balance condition had better balance scores than those assigned to the more difficult balance task. No significant differences were found for the type of feedback groups (F1,36 = 2.145, P = .152). More importantly, a significant feedback by balance condition statistical interaction was found (F1,36 = 4.107, P = .04). At stability level 7, augmented visual feedback stability index scores were better when compared to no augmented visual feedback stability index scores (P < .001). However, for stability level 2, no difference was found between the feedback and no feedback conditions (P = .778).

### Discussion

We propounded the question of whether or not concurrent augmented visual feedback influences balance on the Biodex Balance System at different stability levels. The results supported our postulation that concurrent augmented visual feedback did not influence balance at the more unstable level (Biodex stability level 2). The importance of vision on postural control has long been known (2), however, the effect of concurrent augmented visual feedback on postural control while balancing on an unstable surface is equivocal. Most of the reported clinical studies that examined the effects of augmented visual feedback on postural control have involved stroke patients (7,11). Barclay-Goddard et al (2009) conducted a meta-analysis of the efficacy of concurrent augmented feedback using force platform standing balance in stroke patients. Their results showed no clear evidence that the use of force platform visual feedback improved standing balance. O’Connor et al (2008) compared the effects of different visual cues on postural sway in healthy older and younger adults. The older adults were able to habituate to repeated visual perturbations, however, it took more exposures compared to the younger adults. This finding suggests that aging impacts the ability to quickly modify augmented visual feedback for postural control. Hlavackova et al (2009) studied the effects of concurrent mirror feedback on upright stance control in elderly transfemoral amputees. Their results showed mirror feedback improved upright stance control.

Normal postural sway and equilibrium produced while standing on a flat stable surface may be controlled by lower level closed-looped feedback corrections. Standing balance on a stable surface primarily involves activating automatic postural reactions that are based on reflex actions rather than conscious control (12). The Biodex Balance System is unique in that it uses a moveable platform to create different levels of stability. Our rationale was that at the more difficult stability level 2 the influence of augmented visual feedback would be reduced as a result of change in motor control strategies. As platform stability decreased, open-looped strategies may have been used in an effort to maintain the platform in a horizontal position. Gutierrez et al (2009) in their clinical review state that during dynamic balance, open-looped mechanisms operate faster than closed looped mechanisms when perturbations to balance are imposed. This contention is supported by the study of Horak and Nasher (1986) who investigated the extent to which standing automatic postural reactions are controlled by motor programs. They adduce the theory that postural actions are organized by a limited repertoire of central programs selected in advance of movement. Organization of movements into motor programs simplifies the process of modifying movement by reducing reliance on concurrent sensory feedback. Our data suggest that the motor control strategies used when balancing on the Biodex Balance System may not be universal at all levels of difficulty.

### Conclusion

The learning/relearning of balance is a primary goal in many types of sport and wellness rehabilitation. Because of the importance of balance, there is a constant need for the identification of efficient and successful methods of balance testing and training as well as the delineation of variables that influence balance. We conclude that when balancing on the Biodex Stabilometer, the way feedback is administered is important because it significantly affects balance performance. Our study implies that, when balancing on a Biodex Balance System, as the degree of difficulty increases the influence of concurrent augmented visual-feedback is mitigated.

### Application in Sport

During the early stages of balance training, where the stabilometer tasks are performed at the more stable (less difficult) levels, augmented visual feedback may improve the performance of the balance task. However, as task difficulty increases the ability to use augmented visual feedback to guide postural reactions may decrease. These results infer that during Biodex stability training both open and closed looped motor control strategies are being used depending on the stability level being practiced. Under these conditions, previous research (12) has shown that variable practice, where several difficulty levels are practiced in a random order during any given training session, is a more efficient means of balance training when compared to constant practice where only one stability level is practiced during a training session. Variable practice has been shown to be more efficient in the development of open loop motor programs where rapid movements are required (6). Therefore, when doing Biodex balance training for sport a protocol that involves practicing several different levels of difficulty during one training session would be recommended. Future studies need to examine additional variables such as disability, injury and age in order to determine the most appropriate rehabilitation protocols.

### Tables

#### Table 1
Mean (± SD) Stability Index Scores Averaged Across Nine 20-Second Trials

Type of Feedback Level 7 Level 2
Augmented Visual 1.62 ± .41 11.58 ± 4.54
No Augmented Visual 4.45 ± .83a 11.12 ± 2.20

a. Difference between type of feedback at level 7 (P < .001).

### References

1. Arnold, B.L., Gansneder, B.M., & Perrin, D.H.(2005). Research Methods in Athletic Training. Philadelphia, PA: F.A. Davis.
2. Asakawa, K., Ishikawa H., Kawamorita T., Fuiyama Y., Shoji N., & Uozato H. (2007). Effects of ocular dominance and visual input on body sway. Jpn J Ophathalmol.,51:375-378.
3. Barclay-Goddard, R.E., Stevenson, T.J., Poluha, W., & Taback,S.P. (2009). Force platform feedback for standing balance training after stroke : The Cochrane Collaboration. New York, NY:Wiley.
4. Biodex Medical Systems. Balance System Operations and Service Manual. Shirley, NY: Biodex Medical Systems; 2003.
5. Davids K., Button C., & Bennett S. (2008). Dynamics of Skill Acquisition: A Constraints Approach. Champaign, IL: Human Kinetics.
6. Gutierrez, G.M., Kaminski, T.W., & Douex, A.T. (2009). Neuromuscular control and ankle instability: A clinical review. Phys Med Rehabil.,1(4):359-365.
7. Hartveld, A., & Hegarty, J.R. (1996). Augmented feedback and physiotherapy practice: Review report. Physiotherapy., 82(8):480-490.
8. Hinman, M. (2009). Factors affecting reliability of the biodex balance system: A summary of four studies. J Sport Rehabil., 9:240-252.
9. Hlavackova, P., Fristios, J., Cuisinier, R., Pinsault, N., Janura, M., & Vuillerme, N. (2009). Effect of mirror feedback on upright stance control in elderly transfemoral amputees. Arch Phys Med Rehabil., 90(11):1960-1963.
10. Horak, F.B., & Nashner, L.M. (1986). Central programming of postural movements: Adaptation to altered support-surface configurations. J Neurophysiol., 55(6):1369-1381.
11. Horak, F.B., Diener, H.C., & Nashner, L.M. (1989). Influence of central set on human postural responses. J Neurophysiol. ,62(4):841-853.
12. Kovaleski, J.E, Heitman, R.J, & Gurchiek L.R. (2009). Improved transfer effects on biodex balance system. Athletic Training & Health Care .,1(2):74-78.
13. O’Connor, K.W., Loughlin, P.J., Redfern, M.S., & Sparto,P.J. (2008). Posturaladaptations to repeated optic flow stimulation in older adults. Gait Posture., 28(3):385-391.
14. Schmitz R, Arnold B. (1998). (Intertester and intratester reliability of a dynamic balance protocol using the Biodex Stability System. J Sport Rehabil.,7:95-101.

### Corresponding Author

Dr. Steven Pugh, PhD.
HPELS Dept
University of South Alabama
HPE Building, RM 1016
171 Jaguar Drive
Mobile, Alabama 36688

<sfpugh@usouthal.edu>
(251) 461-8231

2013-11-22T22:58:23-06:00January 3rd, 2012|Contemporary Sports Issues, Sports Exercise Science, Sports Studies and Sports Psychology|Comments Off on Effects of Augmented Visual Feedback and Stability Level on Standing Balance Performance using the Biodex Balance System
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The Effect of Music Listening on Running Performance and Rating of Perceived Exertion of College Students

Randy Bonnette, Texas A&M University-Corpus Christi; Morgan C. Smith III, Texas A&M University-Corpus Christi; Frank Spaniol, Texas A&M University-Corpus Christi; Liette Ocker, Texas A&M University-Corpus Christi; Don Melrose, Texas A&M University-Corpus Christi

### Abstract

The purpose of this study was to investigate how listening to music while running affects performance and perceived exertion of college students. Twenty-eight undergraduate kinesiology students (17 males, 11 females; age = 22.9 ± 5.9 yrs) were studied to determine if running performance and rating of perceived exertion were affected by listening to music. Running performance (RP) was measured by a 1.5-mile run. Two trials were performed, the first was a running performance without music listening (RPWOML = 12.94 ± 3.35 min) and the second trial was a running performance while music listening (RPWML = 12.50 ± 2.48 min). The second trial was measured five days post the initial trial. Listening to music (music listening) was defined as the subject’s self selection of music tracks and use of a personal digital audio player (e.g. IPod, MP3) during exercise. Perceived exertion without music listening (PEWOML = 14.7 ± 1.3) and perceived exertion with music listening (PEWML = 15.2 ± 2.4) was measured by the Borg 6 to 20 RPE scale. Data analysis was performed on the raw data by utilizing dependent t-tests to calculate and compare sample means. Statistical analyses determined a significant difference (p < .05) between running performance without music listening (RPWOML = 12.94 ± 3.35 min) and running performance with music listening (RPWML = 12.50 ± 2.48 min). However, no significant difference (p < .05) was determined between perceived exertion without music listening (PEWOML = 14.7 ± 1.3) and perceived exertion with music listening (PEWML = 15.2 ± 2.4) as measured by the Borg 6 to 20 RPE scale. In conclusion, the results of this study indicate that music listening has a significant effect on running performance during a maximal 1.5-mile run. However, music listening had no significant effect on rating of perceived exertion at this distance. Based on the results of this study it is recommended that coaches, athletes, and traditional exercisers consider listening to music during training to enhance performance.

**Key Words:** Music Listening, Aerobic, Performance, Rated Perceived Exertion (RPE)

### Introduction

In the past listening to music was relegated to travelling in automobiles, while in the home, while engaged in recreational activities and occasionally at work. Today, the portable music industry (e.g. cassettes, compact discs, and iPod/MP3 digital audio devices) has popularized music “on the go” and invaded just about every environment including training venues. These devices have made it easier for people to enjoy their music and create their own style of workouts with relative ease, regardless of the setting, and has transcended into a multi-million dollar industry (14). Similarly, the sports arena is an environment where music has flourished. Traditionally, music has been used to motivate and inspire people prior to an important event (e.g. pre-game of a critical contest) as well as when they engage in sports and training for competition. Thus, athletes and traditional exercisers alike have used music as an accompaniment to exercise to sustain motivation, resist mental and emotional fatigue, and potentially enhance their physical and athletic performance (10). Scientific inquiry has revealed three key ways in which music can ‘influence’ preparation and competitive performances through dissociation, arousal regulation, and synchronization (3, 4, 6, 8-10). More specifically, research indicates music to be particularly effective in distracting exercisers away from their perceived exertion.

#### Conceptual Framework

Conceptually the underlying framework of using motivational music in exercise and sport devised by Karageorghis et al. (7) indicated two main hypotheses regarding arousal regulation and fatigue dissociation. First, music can be used to alter emotional and physiological arousal and thus can act either as a stimulant or sedative prior to and during physical activity. Therefore, an athlete can use various music tempos as a ‘psych-up’ strategy in preparation for a competition or perhaps an aid to calming over anxiousness. Second, music diverts a performer’s attention from sensations of fatigue during exercise. This diversionary technique, known as dissociation, lowers perceptions of effort. Effective dissociation can promote a positive mood state, thus turning the attention away from thoughts of physiological sensations of fatigue (7).

#### Rated Perceived Exertion

Noble and Robertson (13) define perceived exertion as the subjective intensity of effort, strain discomfort and/or the fatigue that is experienced during an exercise. Currently, the most consistent findings suggest that perceived exertion will rate in lower values when participants exercise to music (12, 13, 22, & 24). The research data compiled from over the past two decades has found music particularly effective in distracting exercisers away from their perceived exertion during physical activity. A study by Nethery, Harmer, and Taaffe (12) found that perceived exertion while exercising to music was lower than for other attentional distracters and for the no distraction condition. Furthermore, Thornby et al. (22) tested exercising participants in the presence of music, no music and noise. They discovered that participants reported a lower perceived exertion while exercising in the presence of music in comparison to the no music and noise conditions.

These findings coupled with the popularity and substantial profits generated between the association of music and training (14) would seem to indicate a correlation between the use of music and performance. However, the effects of listening to music on performance and other physiological measures are less clear. Therefore, the purpose of this study was to investigate the effect listening to music has on running performance and rating of perceived exertion of college students.

### Methods

#### Experimental Approach to the Problem

Listening to music (music listening) was defined as the subject’s self selection of music tracks and use of a personal digital audio player (e.g. IPod, MP3) during exercise. Running performance was determined by a maximal 1.5 mile run to predict VO2 max. Subjects were asked to complete the distance run in the fastest time possible. Results were recorded in minutes and seconds. A common field test equation, V02 max (ml*kg-1*min-1) = 3.5 + 483 / (time in minutes), was selected to access cardio-respiratory fitness of the subjects utilizing their 1.5 mile running performance (1). Perceived exertion was determined by the Borg 6 to 20 RPE scale. Rating of perceived exertion summarizes the exertion levels between rest and maximum effort numerically from 6 to 20 (2).

#### Subjects

Twenty-eight undergraduate kinesiology students (17 males, 11 females; age = 22.9 ± 5.9 yrs) from a south Texas university were studied to determine if running performance and rating of perceived exertion were affected by listening to music. Institutional Review Board approval and subject informed consent were obtained prior to commencement of the research study.

#### Procedures

All participants were required to fill out an informed consent document two days prior to testing. Participants were then instructed to obtain sufficient sleep (6-8 hours) and avoid food, caffeine, tobacco products, or alcohol for 3 hours prior to testing the 1.5-mile run (1). Prior to testing, a 1.5-mile course was measured with a Rolatape® distance measuring wheel. The start/finish line and .75-mile line were marked off with two cones each on the large sidewalk course. Three testers were used to ensure subjects completed the 1.5-mile run, two researchers were stationed at the start/finish line to collect run times and RPE scores for each participant, while another tester was stationed at the .75-mile line or turn around portion of the course. To complete the 1.5-mile run each participant had to begin at the starting line, run to the .75-mile line, and then simply turn around and run back to the start/finish line. Stopwatches were used to measure 1.5-mile run times. Following the course explanation; the participants were encouraged to warm-up and stretch before starting the 1.5-mile run, as well as verbally read the following instructions for use of the Borg 6 to 20 RPE scale:

> During the exercise test we want you to pay close attention to how hard you feel the exercise work rate is. This feeling should be your total amount of exertion and fatigue, combining all sensations and feelings of physical stress, effort, and fatigue. Don’t concern yourself with any one factor such as leg pain, shortness of breath, or exercise intensity, but try to concentrate on your total, inner feeling of exertion. Try not to underestimate or overestimate your feeling of exertion, be as accurate as you can (20).

The participants completed two separate 1.5-mile runs as a group during their regularly scheduled class time on their campus. The first trial was performed in silence without any form of digital audio device (IPod, MP3) which would enable music listening. Five days post the initial trial, a second 1.5-mile run was administered during the regularly scheduled class meeting. However, in this 1.5-mile run test participants were required to use digital audio devices during the trial to enable music listening. Music selection was not controlled during this experiment; therefore the participants were able to select their favorite musical tracks to accompany them on their second trial run. All run times were recorded as the participants crossed the finish line, and RPE was obtained shortly thereafter when the subjects were asked to pick the number best reflecting their exertion from the Borg 6 to 20 scale poster board on site.

#### Statistical Analysis

An experimental one-group pretest-posttest design was utilized. The subjects completed two 1.5-mile run trials to test the effect of music listening on running performance and rating of perceived exertion. Dependent t-tests were utilized to compare mean data from the experimental conditions: music listening and without music listening. Significance was determined at the probability level of .05.

### Results
The results are divided into two sections: running performance and rating of perceived exertion. Data analysis was performed on the raw data by utilizing dependent t-tests to calculate and compare paired sample means. The mean and standard deviation values for these two measures, according to experimental conditions, are summarized in Table (1).

#### Running Performance

Dependent t-tests were conducted on the subjects running performance times in conditions without music listening and with music listening. Two trials were performed, the first was a running performance without music listening (RPWOML = 12.94 ± 3.35 min) and the second trial was a running performance while music listening (RPWML = 12.50 ± 2.48 min). Statistical analyses found music listening had a significant t (26) = 1.75, p = .0478 impact on running performance as shown in Figure 1. In addition, music listening was found to have a significant t (16) = 2.07, p = .0445 effect on running performance for male subjects, whereas female subject t (10) = 1.23, p = .12 indicated non significance.

#### Rating of perceived exertion
A paired two sample dependent t-test was conducted on the subjects rating of perceived exertion after completing a 1.5-mile running performance in conditions without music listening and with music listening. The result of the two trials found the subjects rated perceived exertion without music listening (PEWOML = 14.7 ± 1.3) to be lower than ratings of perceived exertion with music listening (PEWML = 15.2 ± 2.4). Statistical analysis found the effect of music listening on the groups rated perceived exertion to be non significant t (26) = -1.22, p = .11 as shown in Figure 2. However, music listening was found to have a significant t (10) = -2.96, p = .01 directional effect on reported female rating of perceived exertion scores while non significance t (16) = -.18, p = .4263 was found among male rating of perceived exertion scores.

### Discussion

The effects of listening to music on running performance and the rating of perceived exertion during maximal 1.5-mile runs were investigated. By comparing the recorded ratings of perceived exertion and running times of the two situations, it became clear when the subjects exercised to music their running performance improved collectively. Previous research by Thornby et al. (22) also found that the time spent exercising, the amount of work done, and heart rate were all significantly higher in the presence of music than in the other conditions. Similarly, Edworthy and Waring (4) make the suggestion, in regards to music’s effect on running performance, that the pace of music will influence the pace of exercise. Therefore, the assumption can be made that exercising to fast tempo music should produce faster running performance. However in this study’s case, music selection was not controlled; therefore some participant’s personal preferences might not have met the tempo or vigorous nature of the exercise conducted. Even so, the results of the two trials found the subjects running performance while listening to music (RPWML = 12.50 ± 2.48 min) to be substantially faster than running performance without music listening (RPWOML = 12.94 ± 3.35 min).

These results indicate that music listening has a significant effect (p < .0478) on running performance during a maximal 1.5-mile run. Therefore, the research null hypothesis in regards to music’s effect on running performance has been rejected. Furthermore, male subjects in particular were found to perform better while listening to music.

Additionally, music listening was found to have no significant effect on rating of perceived exertion during a maximal 1.5-mile run. The findings of the most recent research reported the effectiveness of music on the subjects’ perceived exertion rate during submaximal exercise, Copland and Franks (3), Szmedra and Bacharach (20), and Potteiger, et al. (15). These authors suggested that in the absence of external stimulation (e.g. music) participants may focus more strongly on their own efforts and perceive them to be higher. This reasoning provides an explanation as to why traditionally subjects experience decreased RPE, particularly in submaxial exercise where music has been shown to effectively dissociate sensations of fatigue and promote a more enjoyable exercise experience. However, this study evaluated music’s effectiveness on a maximal 1.5-mile run. The result of the two trials found the subjects rated perceived exertion without music listening (PEWOML = 14.7 ± 1.3) to be lower than ratings of perceived exertion with music listening (PEWML = 15.2 ± 2.4). Previous research by Yamishita and Iwai (22) suggest that music’s effect on RPE is limited by the intensity of the exercise. Schwartz et al. (17) experienced similar findings stating that at 75% V02max RPE values did not significantly differ for participants between music and control conditions. Accordingly, these findings share the similar reasoning of Rejeski (16) which suggest that when subjects work at maximal intensities beyond anaerobic threshold, physiological cues dominate the attentional processes leading to external cues, such as music, to become less effective on RPE. Additionally, the results indicate listening to music has no significant effect (p < .05) on rating of perceived exertion during a maximal 1.5-mile run. Therefore, the research null hypothesis regarding music’s effect on rating of perceived exertion has been accepted. Furthermore, female subjects were found to rate RPE more difficult while listening to music. This further supports that music’s dissociative properties exhibited in sub max exercise are not transferred into maximal exercise over 75% VO2 max.

It is important to note that although none of the trials were conducted in wet conditions, wind speed and wind direction could not be standardized between trials and this may have been an additional error source. Both performance trials were conducted outdoors at 75 degrees Fahrenheit. However, wind speeds differed between trials; trial one experienced wind speeds of 8 mph with gusts of 14 mph while trial two experienced wind speeds of 18 mph with gusts of 25 mph. Due to these confounding factors conducting the research indoors would have addressed this problem. Unfortunately, an indoor track was not yet available at the university where the research was conducted. Secondly, the participants completed the two running trials together as a group. A natural tendency to compete may have compromised the internal validity of the study. However, the threat to internal validity was preferred to the potential lack of motivation had participants been required to complete the task individually (18).

### Applications In Sport

Music has been found to be an ideal accompaniment for exercise. It has the ability to alter emotional and physiological arousal as well as dissociate a performer’s attention from sensations of fatigue during exercise (19). The tempo of the music can also be used to influence exercise performance as their arousal level will be heightened by the fast tempo (7). If music is applied to these types of situations, music’s impact may have the ability to change the context in which physical work or exercise is performed and become a viable way of positively influencing an individual’s disposition as well as performance (10).

Due to the aforementioned training benefits of listening to music coaches, trainers, as well as performers should be cognizant of this revelation when planning their training regimens. Obviously, this would be especially relevant when engaging in a training session that the athlete and/or coach/trainer identify as being particularly taxing on the performer’s physiological systems. This extra-musical association could very well promote thoughts that inspire physical activity or relaxation within the athlete. For example, an athlete may associate vigorous exercise with the theme from the popular “Rocky” movie series, or possibly dreams of Olympic glory from Vangelis’ “Chariots of Fire.” The resultant association can be attributed not only to the inherent musical characteristics, such as tempo or rhythm, but to the influence of elements of popular culture, such as cinema, television, and radio (6).

In general, the results of the research indicate that exercising to music makes training a more exciting and pleasant experience leading to improved performance. Accordingly, music used as a motivational aid can provide individuals an alternative to address the repetitiveness and mundane nature of many physical activities associated with aerobic performance training.

### Acknowledgements

The authors would like to acknowledge the efforts of Ms. Elizabeth Perez, administrative assistant, in the author’s department for her tireless efforts in support of this study. Her editorial prowess and knowledge of APA style was tremendously helpful in creating a quality manuscript.

### References

1. American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription (5th ed.). Baltimore, MD: Lippincott Williams & Wilkins, 2000.
2. Borg, E. and Kaijser, L. A comparison between three rating scales for perceived exertion and two different work tests. Scandinavian Journal of Medicine & Science in Sports, 16: 57-69, 2006.
3. Copland, B. and Franks, B. Effects of types and intensities of background music on treadmill endurance. The Journal of Sports Medicine and Physical Fitness, 31(1): 100-103, 1991.
4. Edworthy, J. and Waring, H. The effects of music tempo and loudness level on treadmill exercise. Ergonomics, 49: 1597-1610, 2006.
5. Gfeller, K. Musical components and styles preferred by young adults for aerobic fitness activities. Journal of Music Therapy, 25: 28-43, 1988.
6. Karageorghis, C. and Terry, P. The psychophysical effects of music in sport and exercise: a review. Journal of Sport Behavior, 20(1): 54-68, 1997.
7. Karageorghis, C., Terry, P., and Lane, A. Development and initial validation of an instrument to assess the motivational qualities of music in exercise and sport: The Brunel Music Rating Inventory. Journal of Sport Sciences, 17: 713-724, 1999.
8. Karageorghis, C., Jones, L., and Low, D. Relationship between exercise heart rate and music tempo preference. Research Quarterly for Exercise and Sport, 77(2): 240-251, 2006.
9. Karageorghis, C., and Priest, D. Music in Sport and Exercise: An update on research and application. The Sport Journal, 11(3): Retrieved October 25, 2008, from
<http://www.thesportjournal.org/article/music-sport-and-exercise-update-research-and-application>, 2008.
10. Mohammadzadeh, H., Tartibiyan, B., and Ahmadi, A. The effects of music on the perceived exertion rate and performance of trained and untrained individuals during progressive exercise. Physical Education and Sport, 6(1): 67-74, 2008.
11. Nethery, V. Competition between internal and external sources of information during mental exercise: influence on RPE and the impact of exercise load. Journal of Sports Medicine and Physical Fitness, 17: 172-178, 2002.
12. Nethery, V, Harmer, P, and Taaffe, D. Sensory mediation of perceived exertion during submaximal exercise. Journal of Human Movement Studies, 20: 201-211, 1991.
13. Noble, B. and Robertson, R. Perceived exertion. Champaign, IL: Human Kinetics, 1996.
14. O’Rourke, B.K. Email interview, March 5, 2011.
15. Potteiger, J., Schroeder, J., and Goff, K. Influence of music on rating of perceived exertion during 20 minutes of moderate intensity. Perceptual and Motor Skills, 91: 848-854, 2000.
16. Rejeski, W. Perceived exertion: An active or passive process. Journal of Sports Psychology, 75: 371-378, 1985.
17. Schwartz, S., Fernall, E., and Plowman, S. Effects of music on exercise performance. Journal of Cardiopulmonary Rehabilitation, 10: 312-316, 1990.
18. Simpson, S. and Karageorghis, C. The effects of synchronous music on 400-m sprint performance. Journal of Sport Sciences, 24(10): 1095-1102, 2006.
19. Smoll, F. and Schultz, R. Relationships among measures of preferred tempos and motor rhythm. Perceptual and Motor Skills, 8: 883-894, 1978.
20. Szmedra, L. and Bacharach, D. Effect of music on perceived exertion, plasma lactate, nor epinephrine, and cardiovascular homodynamic during treadmill running. Journal of Sports Medicine and Physical Fitness, 19(1): 32-37, 1998.
21. Thompson, D. and West, K. Ratings of perceived exertion to determine intensity during outdoor running. Canadian Journal of Applied Physiology, 23(1): 56-65, 1998.
22. Thornby, M., Haas, F., and Axen, K. Effect of distractive auditory-stimuli on exercise tolerance in patients with COPD. Chest, 107: 1213-1217, 1995.
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### Tables

#### Table 1
Effects of Music Listening on Running Performance and RPE

Conditions Running Performance RPE
No Music Listening Music Listening No Music Listening Music Listening
Groups M SD M SD M SD M SD
Female (N=11) 14.51 3.81 13.74 1.98 14.73 1.35 15.82 1.60
Male (N=17) 11.94 2.69 11.70 2.49 14.65 1.37 14.76 2.77
Combined (N=28) 12.95 3.36 12.50 2.48 14.67 1.33 15.18 2.40

### Figures

#### Figure 1
Running performance mean comparison among groups

![Figure 1](/files/volume-14/440/figure-1.jpg)

#### Figure 2
RPE mean comparison among groups

![Figure 2](/files/volume-14/440/figure-2.jpg)

### Corresponding Author

Randy Bonnette, Ed.D.
Department of Kinesiology, Unit 5820
6300 Ocean Drive
Corpus Christi, TX 78412
<Randy.Bonnette@tamucc.edu>
(361)825-3317

Randy Bonnette is the chair of the Kinesiology Department in the College of Education at Texas A&M University – Corpus Christi.

2013-11-25T14:47:27-06:00January 3rd, 2012|Sports Exercise Science, Sports Management, Sports Studies and Sports Psychology|Comments Off on The Effect of Music Listening on Running Performance and Rating of Perceived Exertion of College Students
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