Sports Health & Fitness – Page 10

The Impact of COVID-19 Pandemic on High Performance Secondary School Student-Athletes

Author: Isabella Q. Liu¹

¹John McCrae Secondary School, Ottawa, Ontario, Canada

Corresponding Author:
Isabella Q. Liu
P.O. Box 34102, 3781 Strandherd Drive
Ottawa, ON, Canada, K2J 5B1
isabellaqqliu@hotmail.com
613-825-6788

Isabella Liu is a rising senior student in the High Performance Athlete Program at John McCrae Secondary School in Ottawa, Canada. She has been doing artistic swimming for the past nine years, and is currently training with GO Capital Synchro Club’s national-stream program. She was a member of the 2019 Ontario Artistic Swimming Junior Provincial Team and competed with them at the 2019 UANA Pan American Artistic Swimming Championships.

The Impact of COVID-19 Pandemic on High Performance Secondary School Student-Athletes

ABSTRACT

Purpose: The COVID-19 pandemic has led to a worldwide disruption of the sporting industry. Secondary school student-athletes, as a distinct population, are facing unique social and academic challenges. It is important to identify some of the unique challenges this population currently faces, and understand where our student-athletes are at mentally and physically. This is in order to ensure their needs are addressed, and the health and wellbeing of this population is protected. This study aimed to assess the impact of the COVID-19 pandemic on Canadian high performance secondary school student-athletes.

Methods: On April 29, 2020, six weeks after a lockdown was imposed in Ontario, Canada, a Google Forms online survey was sent out to local secondary school students participating in high performance sports to collect data on the impact of the COVID-19 pandemic on their sports and themselves.

Results: In 24 hours, 115 surveys were completed. The median age of respondents was 16/17, with 66 (57.4%) females and 49 (42.6%) males. 93% of respondents had at least one cancellation or postponement of important competitions or meets due to the COVID-19 outbreak. The athletes reported negative psychological impacts from the pandemic, with 90.5% expressing feelings of isolation and disconnection and 79.1% having feelings of anxiety, depression, and frustration. 86.1% of the respondents identified a worry for a loss of fitness during this time, with 91.3% concerned about the impact of the COVID-19 pandemic on their next season. Nonetheless, 84.3% of the respondents still plan to return to training once the pandemic is over, and 74.8% believe they can catch up to their previous strength/technical level after the pandemic.

Conclusions: Findings of this study suggests that more attention should be paid to secondary school student-athletes, as they are young and tackling both academic and athletic challenges.Student-athletes should be provided additional mental health support during this maelstrom of changes. Specific in-home virtual training during COVID-19 outbreak may be further strengthened and improved to protect the mental health of the athletes, especially to reduce the risk of anxiety and depression.

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U.S. Sports Academy2020-08-04T10:14:38-05:00July 22nd, 2020|Research, Sports Health & Fitness|Comments Off

Gender Differences in Shoulder Strength, Range of Motion, and Functional Movement across a Division III Collegiate Swim Season

Authors: Andrew M Busch EdD^a, Tyler L Mansfield^a, Morgan L Barnard^a, Elizabeth L Mayio^a

^aDepartment of Health and Human Kinetics, Ohio Wesleyan University

Corresponding Author:
Andrew M Busch
107C Edwards Gymnasium
61 S. Sandusky St.
Delaware OH 43220
Phone: (740) 368-3864
ambusch@owu.edu

Conflict of Interest and Source of Funding: There are no conflicts of interest to report and no funding was received for this study.

Andrew Busch is an assistant professor at Ohio Wesleyan University and is an alumni of the United States Sports Academy.

Gender Differences in Shoulder Strength, Range of Motion, and Functional Movement across a Division III Collegiate Swim Season.

ABSTRACT

Background: Musculoskeletal variables used to identify at-risk swimmers for shoulder injuries are inconsistent, possibly resulting from fluctuations in training volume across a competitive season or gender differences in training adaptations.

Purpose: The purpose of this study was to examine gender differences in shoulder strength, range of motion, and functional movement across a competitive collegiate swim season.

Methods: Twenty-nine healthy swimmers underwent preseason and postseason testing for glenohumeral internal rotation (IR) and external rotation (ER) range of motion (ROM); maximal voluntary isometric contraction (MVIC) strength for IR and ER; and Functional Movement Screen(FMS^TM) shoulder mobility scores. Glenohumeral ROM was performed using a digital inclinometer; strength tests were performed using a handheld dynamometer and normalized for body weight.

Results: Glenohumeral ROM significantly decreased in both arms of both genders postseason. Gender differences showed males exhibited less IR in dominant (p = .002) and nondominant (p = .001) arms preseason, and only nondominant arm (p = .004) postseason. Relative MVIC strength did not change in males postseason, whereas females showed significant improvement in IR strength for both dominant (p = .008) and nondominant (p = .005) arms, and ER strength for the nondominant arm (p = .001). Gender differences revealed males had greater relative strength for IR and ER preseason, with no differences noted between genders postseason. No differences were observed in FMS^TM shoulder mobility scores between genders or across the season.

Conclusion: Decreases in glenohumeral ROM were observed in both arms of both genders in the postseason. Females noted significant increases in relative MVIC strength while males showed no differences in relative strength measures. There were no differences noted in FMS^TM shoulder mobility scores based on gender.

Applications in Sport: Male and female swimmers may respond differently to the demands of a collegiate swim season when comparing shoulder strength values. Postseason glenohumeral ROM measures all resulted in marked decreases in both arms for both genders.

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U.S. Sports Academy2020-06-01T09:24:45-05:00July 17th, 2020|Sports Health & Fitness|Comments Off

Sitting Time and Physical Activity Comparison between Student Athletes and Non-Athletes: A Pilot Study

Authors: Adam J. Swartzendruber, Karen A. Croteau

Corresponding Author:
Adam J. Swartzendruber
Saint Joseph’s College of Maine
Department of Sport and Exercise Science
278 Whites Bridge Rd.
Standish, ME 04062
aswartzendruber@sjcme.edu
207-893-7667

Adam J. Swartzendruber is an Assistant Professor of Sport and Exercise Science at Saint Joseph’s College of Maine.

Karen A. Croteau is Professor and Department Chair of Sport and Exercise Science at Saint Joseph’s College of Maine

Sitting Time and Physical Activity Comparison between Student Athletes and Non-Athletes: A Pilot Study

ABSTRACT

Sitting time among young college athletes may be greater than or equal to individuals considered inactive and not meeting Physical Activity (PA) recommendations. Meeting or exceeding PA guidelines alone may not be enough to overcome the deleterious cardiometabolic effects of high sitting time. In part, this may be made evident by an independent relationship between sitting time and PA. Data from 163 full-time college students aged 18-24 were collected. Mean sitting times and Light PA (LPA) were analyzed for differences between athletes and non-athletes. Correlation analysis was completed to determine the relationship between exercise time and sitting time. Mean daily sitting time was 10.96 ± 2.98 hours, and as a percentage of total wake time, 58.86 ± 0.08% of wake time was spent sitting. No statistically significant difference in mean sitting time, in minutes, was shown between athletes (M = 629.91 min., SD = 171.657) and non-athletes (M = 677.76, SD = 182.506), as the mean difference was M = -47.854, 95% CI [-110.216, 14.508], t(129) = -1.518, p = .131, d = .27. There was no significant correlation between daily sitting time and moderate-to-vigorous PA (MVPA) time, r_s (54) = .195, p = 0.154. Next, there was no significant difference in daily LPA between athletes (M = 102.45, SD = 75.209) and non-athletes (M = 111.87, SD = 100.481) in minutes, as the mean difference was M = -9.414, 95% CI [-41.204, 22.377], t(129) = -.586, p = .541, d = .10. These outcomes support previous studies showing that athletes can be highly active and highly sedentary because of the independent relationship between MPVA time and sitting time. Research must continue with other athletic populations, preferably using accelerometry, and include the collection of cardio-metabolic risk biomarkers to determine the potential for athletes to be at risk despite their high activity level.

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U.S. Sports Academy2020-06-01T08:35:00-05:00July 10th, 2020|Research, Sports Health & Fitness|Comments Off

Assessing the Outcomes of a Brief Nutrition Education Intervention Among Division I Football Student-Athletes at Moderate Altitude

Authors: Sam T. Lawson, Julia C. Gardner, Mary Jo Carnot, Samuel S. Lackey, Nanette V. Lopez, and Jay T. Sutliffe

Corresponding Author:
Jay Sutliffe, PD, RD
Flagstaff AZ, 86011
Jay.sutliffe@nau.edu
928-523-7596

Sam T. Lawson is an undergraduate research assistant and student at Northern Arizona University.

Julia C. Gardner is a research coordinator with the PRANDIAL Lab at Northern Arizona University. Mary Jo Carnot is professor of Counseling, Psychological Sciences, and Social Work at Chadron State College in Chadron, NE.

Samuel S. Lackey is the Head Strength and Conditioning Coach at Northern Arizona University.

Nanette V. Lopez is Assistant Professor in Health Sciences at Northern Arizona University.

Jay T. Sutliffe is Professor of Nutrition and Foods and the Director of the PRANDIAL Lab at Northern Arizona University in Flagstaff, AZ.

Assessing the Outcomes of a Brief Nutrition Education Intervention Among Division 1 Football Student-Athletes at Moderate Altitude

Abbreviations
HEI: healthy eating index
g: grams
mg: milligrams
oz: ounces
kcal: kilocalories
std.: standard
DGA: Dietary Guidelines for Americans
USDA: United States Department of Agriculture
RDA: recommended dietary allowance
RM: repetition maximum

ABSTRACT

College students are notorious for having poor quality diets and student-athletes are no exception. Collegiate football student-athletes often fail to meet overall energy requirements necessary to meet activity demands (65). The research herein assessed diet quality, body composition and physical performance of selected student athletes following completion of a brief, 8-week nutrition education intervention. The participants consisted of 55 Division I collegiate football players, aged 18-24 years (mean age 19.8±1.2yrs). Results indicated that group education sessions on nutrition had minimal impact on outcomes, perhaps due to the voluntary nature of the training. However, independent of the intervention, there were significant changes across time for the total scores on the Healthy Eating Index-2015 (HEI-2015), strength performance measures, and total body water. Participants with higher HEI-2015 scores versus lower scores did not differ on strength performance or body composition outcomes. Specific nutrients, including sodium, protein, and solid fats negatively impacted strength performance, especially for the bench press measures. At moderate altitudes, athletes may struggle to maintain sufficient hydration (41). In this study, athletes with higher hydration levels (based on total body water and extracellular water) improved performance from pre to post assessments of strength performance in bench press, back squat, and power clean. The results highlight the importance of nutrition on athletic performance, especially the negative impact of unhealthy choices. Educational sessions on nutrition designed to improve eating habits may need to consider social influences, including everyday eating situations, via a combination of group and individualized approaches.

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U.S. Sports Academy2020-06-01T08:19:54-05:00July 3rd, 2020|Research, Sports Health & Fitness|Comments Off

Validity of 3-D Markerless Motion Capture System for Assessing Basketball Dunk Kinetics – A Case Study

Authors: Dimitrije Cabarkapa¹, Andrew C. Fry¹ and Eric M. Mosier²

Jayhawk Athletic Performance Laboratory, University of Kansas, Lawrence, KS
Northwest Missouri State University, Maryville, MO

Corresponding Author:
Dimitrije Cabarkapa, MS, CSCS, NSCA-CPT, USAW
1301 Sunnyside Avenue, Lawrence, KS 66045
University of Kansas
E-mail: dcabarkapa@ku.edu
Phone: +1 (785) 551-3882

Validity of 3-D Markerless Motion Capture System for Assessing Basketball Dunk Kinetics – A Case Study

ABSTRACT

Basketball is one of the most popular international sports, but the current sport science literature does not directly address on-court performance such as force and power during a game. This case study examined the accuracy of a three-dimensional markerless motion capture system (3-D MCS) for determining the biomechanical characteristics of the basketball dunk. A former collegiate (NCAA Division-I) basketball player (age=26 yrs, height=2.08 m, weight=111.4 kg) performed 30 maximum effort dunks utilizing a two-hands, no-step, two-leg jumping approach. A uni-axial force plate (FP) positioned under a regulation basket sampled data at 1000 Hz. Additionally, a 3-D MCS composed of eight cameras placed 3.7 m high surrounding the recording area collected data at 50 Hz, from which ground reaction forces were derived using inverse dynamics. The dunks were analyzed by both systems for peak force and peak power. Peak force (X±SD) was similar (p<0.05) for both systems (FP= 2963.9±92.1 N, 3-D MCS= 3353.2±255.9 N), as was peak power (FP= 5943±323, 3-D MCS= 5931±700 W). Bland-Altman plots with 95% confidence intervals for both force and power indicated all measurements made with the 3-D MCS accurately assessed peak force and peak power during a basketball dunk as performed in the current study. These data provide strength and conditioning professionals with a better understanding of the magnitude of forces and powers that athletes experience during a basketball game, as well as validate use of a novel technology to monitor athletes’ progress and optimize overall athletic performance.

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U.S. Sports Academy2020-05-06T09:16:36-05:00June 19th, 2020|Research, Sports Health & Fitness|Comments Off