Sex Differences in Wellness Scores in Collegiate Athletes

Jennifer A Bunn , Michael R Jiroutek

Abstract


Subjective wellness scores reflect athlete responses to training, fatigue, personal experiences, and recovery, and evidence suggests these scores may differ between athletes based on sex. This study aimed to evaluate the differences in daily wellness scores between sexes in collegiate soccer, swimming, and basketball athletes. Athletes (n = 294, 63% female) completed daily wellness surveys for energy, health status, mood, muscle readiness, sleep quality, sleep duration, stress, diet, and overall wellness. Variables were evaluated on a 5-point Likert scale, except sleep duration, quantified in hours. Repeated measures, mixed linear models, repeated measures, and ordinal logistic models were used to assess sex differences in wellness outcomes. In basketball, females have 0.30 times the odds (95% CI 0.19, 0.48) of males of a worse health status score. For soccer, females have 2.45 times the odds (95% CI 1.32, 4.44) of males with a worse stress wellness score. In swimming, females, on average, slept 0.40 more hours of sleep per night (95% CI 0.02, 0.79) as compared to males. These data suggest that differences in wellness subcomponents are nuanced by sport. This information can be used to provide targeted programming for athletes to improve wellness and reduce stress, which may subsequently enhance mental health, academic performance, and sports performance.


Keywords


Academic load; Health status; Sport psychology; Stress; Team sports.

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References


Agel, J., Arendt, E. A., & Bershadsky, B. (2005). Anterior cruciate ligament injury in National Collegiate Athletic Association basketball and soccer: A 13-year review. American Journal of Sports Medicine, 33(4), 524–530. https://doi.org/10.1177/0363546504269937

Alentorn-Geli, E., Myer, G. D., Silvers, H. J., Samitier, G., Romero, D., Lázaro-Haro, C., & Cugat, R. (2009). Prevention of non-contact anterior cruciate ligament injuries in soccer players. Part 1: Mechanisms of injury and underlying risk factors. Knee Surgery, Sports Traumatology, Arthroscopy, 17(7), 705–729. https://doi.org/10.1007/s00167-009-0813-1

Bernstein, G. A., Borchardt, C. M., & Perwien, A. R. (1996). Anxiety disorders in children and adolescents: A review of the past 10 years. Journal of the American Academy of Child & Adolescent Psychiatry, 35(9), 1110–1119. https://doi.org/10.1097/00004583-199609000-00008

Buchheit, M., Racinais, S., Bilsborough, J. C., Bourdon, P. C., Voss, S. C., Hocking, J., Cordy, J., Mendez- Villanueva, A., & Coutts, A. J. (2013). Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players. Journal of Science and Medicine in Sport, 16(6), 550–555. https://doi.org/10.1016/j.jsams.2012.12.003

Cowley, E. S., Olenick, A. A., McNulty, K. L., & Ross, E. Z. (2021). “Invisible Sportswomen”: The sex data gap in sport and exercise science research. Women in Sport and Physical Activity Journal, 29(2), 146–151. https://doi.org/10.1123/wspaj.2021-0028

Crouch, A. K., Jiroutek, M. R., Snarr, R. L., & Bunn, J. A. (2020). Relationship between pre-training wellness scores and internal and external training loads in a Division I women’s lacrosse team. Journal of Sports Sciences, 39(9), 1070–1076. https://doi.org/10.1080/02640414.2020.1857106

FieldLevel. (2020). Comparing Competition Levels in College Sports. https://recruiting.fieldlevel.com/2020/03/college-sports-division-levels/level

Fullagar, H. H. K., Skorski, S., Duffield, R., Hammes, D., Coutts, A. J., Meyer, T., Fullagar, H. H. K., Skorski, Á. S., Hammes, Á. D., Meyer, Á. T., Duffield, R., & Coutts, Á. A. J. (2015). Sleep and athletic performance: The effects of sleep loss on exercise performance, and physiological and cognitive responses to exercise. Sports Med, 45, 161–186. https://doi.org/10.1007/s40279-014-0260-0

Gallo, T. F., Cormack, S. J., Gabbett, T. J., & Lorenzen, C. H. (2016). Pre-training perceived wellness impacts training output in Australian football players. Journal of Sports Sciences, 34(15), 1445–1451. https://doi.org/10.1080/02640414.2015.1119295

Garber, C. E., Blissmer, B., Deschenes, M. R., Franklin, B. A., Lamonte, M. J., Lee, I. M., Nieman, D. C., & Swain, D. P. (2011). Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise. Medicine and Science in Sports and Exercise, 43(7). https://doi.org/10.1249/MSS.0b013e318213fefb

Govus, A. D., Coutts, A., Duffield, R., Murray, A., & Fullagar, H. (2018). Relationship between pretraining subjective wellness measures, player load, and rating-of-perceived-exertion training load in American college football. International Journal of Sports Physiology and Performance, 13(1), 95–101. https://doi.org/10.1123/ijspp.2016-0714

Hamlin, M. J., Olsen, P. D., Marshall, H. C., Lizamore, C. A., & Elliot, C. A. (2017). Hypoxic repeat sprint training improves Rugby player’s repeated sprint but not endurance performance. Frontiers in Physiology, 8. https://doi.org/10.3389/fphys.2017.00024

Hamlin, M. J., Wilkes, D., Elliot, C. A., Lizamore, C. A., & Kathiravel, Y. (2019). Monitoring training loads and perceived stress in young elite university athletes. Frontiers in Physiology, 10(JAN). https://doi.org/10.3389/FPHYS.2019.00034

Impellizzeri, F. M., Marcora, S. M., & Coutts, A. J. (2019). Internal and external training load: 15 Years on. International Journal of Sports Physiology and Performance, 14(2), 270–273. https://doi.org/10.1123/IJSPP.2018-0935

Jiroutek, M. R., & Turner, J. R. (2018). Why it is nonsensical to use retrospective power analyses to conduct a postmortem on your study. The Journal of Clinical Hypertension, 20(2), 408. https://doi.org/10.1111/JCH.13173

Jones, N. L., Makrides, L., Hitchcock, C., Chypchar, T., & McCartney, N. (1985). Normal standards for an incremental progressive cycle ergometer test. The American Review of Respiratory Disease, 131(5), 700–708. https://doi.org/10.1164/ARRD.1985.131.5.700

LaFountaine, J. (2016). Student athlete wellness: Gender perspectives. Journal of Coaching Education. https://doi.org/10.1123/jce.2.2.24

Leduc, C., Weaving, D., Owen, C., Lacome, M., Ramirez-Lopez, C., Skok, M., Tee, J. C., & Jones, B. (2022). The effect of rugby union match play on sleep patterns and subsequent impact on postmatch fatigue responses. International Journal of Sports Physiology and Performance, 17(6), 852–861. https://doi.org/10.1123/IJSPP.2021-0421

Lincoln, A. E., Caswell, S. V., Almquist, J. L., Dunn, R. E., Norris, J. B., & Hinton, R. Y. (2011). Trends in concussion incidence in high school sports. The American Journal of Sports Medicine, 39(5), 958–963. https://doi.org/10.1177/0363546510392326

Mah, C. D., Kezirian, E. J., Marcello, B. M., & Dement, W. C. (2018). Poor sleep quality and insufficient sleep of a collegiate student-athlete population. Sleep Health, 4(3), 251–257. https://doi.org/10.1016/j.sleh.2018.02.005

Malone, S., Owen, A., Newton, M., Mendes, B., Tiernan, L., Hughes, B., & Collins, K. (2018). Wellbeing perception and the impact on external training output among elite soccer players. Journal of Science and Medicine in Sport, 21(1), 29–34. https://doi.org/10.1016/j.jsams.2017.03.019

Meiselman, H. L. (2016). Quality of life, well-being and wellness: Measuring subjective health for foods and other products. Food Quality and Preference, 54, 101–109. https://doi.org/10.1016/j.foodqual.2016.05.009

Moreland, J. J., Coxe, K. A., & Yang, J. (2018). Collegiate athletes’ mental health services utilization: A systematic review of conceptualizations, operationalizations, facilitators, and barriers. Journal of Sport and Health Science, 7(1), 58–69. https://doi.org/10.1016/J.JSHS.2017.04.009

NCAA. (2020). NCAA Student-Athlete Well-Being Study. https://www.ncaa.org/sports/2020/5/22/ncaa-student-athlete-well-being-study.aspx

Reardon, C. L., Hainline, B., Miller Aron, C., Baron, D., Baum, A. L., Bindra, A., Budgett, R., Campriani, N., Mauricio Castaldelli-Maia, J., Currie, A., Lee Derevensky, J., Glick, I. D., Gorczynski, P., Gouttebarge, V., Grandner, M. A., Hyun Han, D., Sills, A., Stull, T., Swartz, L., & Jing Zhu, L. (2019). Mental health in elite athletes: International olympic committee consensus statement (2019). Br J Sports Med, 53, 30. https://doi.org/10.1136/bjsports-2019-100715

Rice, S. M., Parker, A. G., Mawren, D., Clifton, P., Harcourt, P., Lloyd, M., Kountouris, A., Smith, B., McGorry, P. D., & Purcell, R. (2020). Preliminary psychometric validation of a brief screening tool for athlete mental health among male elite athletes: The athlete psychological strain questionnaire. International Journal of Sport and Exercise Psychology, 18(6), 850–865. https://doi.org/10.1080/1612197X.2019.1611900

SAS Institute Inc. 2018. SAS® 9.4 In-Database Products: User’s Guide: Eighth Edition. Cary, NC: SAS Institute Inc.

Saw, A. E., Main, L. C., & Gastin, P. B. (2016). Monitoring the athlete training response: Subjective self-reported measures trump commonly used objective measures: A systematic review. British Journal of Sports Medicine, 50(5), 281–291. https://doi.org/10.1136/BJSPORTS-2015-094758/-/DC1

Saw, A. E., Main, L. C., Robertson, S., & Gastin, P. B. (2017). Athlete self-report measure use and associated psychological alterations. Sports (Basel, Switzerland), 5(3). https://doi.org/10.1136/bjsports-2015-094758

Silva, A., Narciso, F. V., Rosa, J. P., Rodrigues, D. F., da Silva Cruz, A. Â., Tufik, S., Viana, F., Bichara, J. J., Dias Pereira, S. R., da Silva, S. C., & de Mello, M. T. (2019). Gender differences in sleep patterns and sleep complaints of elite athletes. Sleep Science, 12(4), 242. https://doi.org/10.5935/1984-0063.20190084

Surujlal, J., Van Zyl, Y., & Nolan, V. T. (2013). Perceived stress and coping skills of university student-athletes and the relationship with life satisfaction. African Journal for Physical, Health Education, Recreation, and Dance, 19(4:2), 1047–1059.

Thorpe, R. T., Strudwick, A. J., Buchheit, M., Atkinson, G., Drust, B., & Gregson, W. (2016). Tracking morning fatigue status across in-season training weeks in elite soccer players. International Journal of Sports Physiology and Performance, 11(7), 947–952. https://doi.org/10.1123/ijspp.2015-0490

Tillman, K. S., Sell, D. M., Yates, L. A., & Mueller, N. (2015). Effectiveness of one-time psychoeducational programming for students with high levels of eating concerns. Eating Behaviors, 19, 133–138. https://doi.org/https://doi.org/10.1016/j.eatbeh.2015.08.002

Von Guenthner, S., & Hammermeister, J. (2007). Exploring relations of wellness and athletic coping skills of collegiate athletes: Implications for sport performance. Psychological Reports, 101(3_suppl), 1043–1049. https://doi.org/10.2466/pr0.101.4.1043-1049

Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a world beyond “p < 0.05.” The American Statistician, 73(sup1), 1–19. https://doi.org/10.1080/00031305.2019.1583913

Watson, A. M. (2017). Sleep and athletic performance. Current Sports Medicine Reports, 16(6), 413– 418. https://doi.org/10.1249/JSR.0000000000000418




DOI: https://doi.org/10.58524/002024336800

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