Preprint / Version 1

A Framework to Guide Decision-Making about Sex and Gender Selection for Sport and Exercise Investigations

##article.authors##

  • Eimear Dolan University of Sao Paulo
  • Gabriel P. Esteves
  • Paul A. Swinton

DOI:

https://doi.org/10.51224/SRXIV.450

Keywords:

sex, gender, framework, selection, exercise, sport, research

Abstract

Historically, males have been preferentially selected as participants in sport and exercise research, resulting in a large sex and gender bias in almost every aspect of our evidence base. Awareness of the potential implications of this bias is prevalent, and there appears to be a willingness to solve the problem. It can, however, be challenging to make an informed decision on whether to recruit males, females, or mixed cohorts for individual studies. Decisions are frequently made with uncertainty of how biological sex- or gender- specific factors, such as the menstrual cycle, differences in baseline characteristics and response, or societal and cultural perceptions and norms, may influence research findings. Here we propose a framework to guide the decision to recruit males, females or mixed cohorts to sport and exercise studies. The framework comprises a series of conditional branching questions regarding the aims of the research study and the potential influence of sex or gender on outcomes of interest. The questions include: 1) whether the research question centers on a sex or gender specific topic; 2) whether sex or gender specific factors are likely to introduce noise to the outcomes of interest; 3) whether baseline or response differences between sexes or genders are likely to influence the outcomes of interest; and 4) what to do when insufficient data are available to inform answers to questions 2 and 3. We present and discuss examples that may influence the response to each of these branching questions. In many situations, definitive answers may not exist, and the intention of the framework is not to dictate or prescribe the participant group that individual researchers should work with. Instead, the framework is presented to engage with sample recruitment in a structured and systematic way, thereby facilitating informed and evidence-based decision-making, with the ultimate goal of contributing toward a sport and exercise evidence base that is less affected by sex and gender bias.  

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References

Cowley E, Olenick A, McNulty K, Ross E. “Invisible Sportswomen”: The sex data gap in sport and exercise science research. Women Sport Phys Act. 2021;29:146–51. DOI: 10.1123/wspaj.2021-0028.

Hutchins K, Borg D, Bach A, Bon J, Minett G, Stewart I. Female (under) representation in exercise thermoregulation research. Sport Med Open. 2021;22:43. DOI: 10.1186/s40798-021-00334-6.

Kuikman M, Smith E, McKay A, Ackerman K, Harris R, Elliott-Sale K, et al. Fueling the Female Athlete: Auditing Her Representation in Studies of Acute Carbohydrate Intake for Exercise. Med Sci Sport Exerc. 2023;55:569–80. DOI: 10.1249/MSS.0000000000003056.

Kuikman M, McKay A, Smith E, Ackerman K, Harris R, Elliott-Sale K, et al. Female athlete representation and dietary control methods amons studies assessing chronic carbohydrate approaces to support training. Int J Sport Nutr Exerc Metab. 2023;33:198–208. DOI: 10.1123/ijsnem.2022-0214

Smith E, Burke L. Have we considered women in current sports nutrition guidelines? Nutr Today. 2024;59:168–76. DOI: 10.1097/NT.0000000000000692.

Ansdell P, Thomas K, Hicks K, Hunter S, Howatson G, Goodall S. Physiological sex differences affect the integrative response to exercise: Acute and chronic implications. Exp Physiol. 2020;105:2007–21. DOI: 10.1113/EP088548.

Petrie K, Burbank K, Sizer P, James C, Zumwalt M. Considerations of sex differences in musculoskeletal anatomy between males and females. In: Robert-McComb J, Zumwalt M, Fernandez-del-Vell M, editors. Act Female. Springer Ch, Cham; 2023. DOI: 10.1007/978-3-031-15485-0_1.

Hunter S, Senefeld J. Sex differences in human performance. J Physiol. 2024. DOI: 10.1113/JP284198.

Thorpe H, Bekker S, Fullager S, Mkumbuzi N, Nimphius S, Pape M, et al. Advancing feminist innovation in sport studies: A transdisciplinary dialogue on gender, health and wellbeing. Front Sport Act Living. 2023;4:1060851. DOI: 10.3389/fspor.2022.1060851.

Karp N, Reavey N. Sex bias in preclinical research and an exploration of how to change the status quo. Br J Pharmacol. 2019;176:4107–18. DOI: 10.1111/bph.14539.

Yoon D, Mansukhani N, Stubbs V, Helenowski I, Woodruff T, Kinne M. Sex bias exists in basic science and translational surgical research. Surgery. 2014;156:508–16. DOI: 10.1016/j.surg.2014.07.001.

Mazure V, Jones D. Twenty years and still counting: including women as participants and studying sex and gender in biomedical research. BMC Womens Heal. 2015;15. DOI: 10.1186/s12905-015-0251-9.

Holdcroft A. Gender bias in research: How does it affect evidence based medicine. J R Soc Med. 2007;100:2–3. DOI: 10.1177/014107680710000102.

Simon V. Wanted: Women in clinical trials. Science (80- ). 2005;308:1517. DOI: 10.1126/science.1115616.

Parsons J, Coen S, Bekker S. Anterior cruciate ligament injury: towards a gendered environmental approach. Br J Sports Med. 2021;55:984–90. DOI: 10.1136/bjsports-2020-103173.

Agel J, Rockwood T, Klossner D. Collegiate ACL injury rates across 15 sports: National Collegiate Athletic Association Injury Surveillance System Data Update (2004 - 2005 through 2012 - 2013). Clin J Sport Med. 2016;26:518–23. DOI: 10.1097/JSM.0000000000000290.

Griffin L, Albohm M, Bahr R, Beynnon B, DeMaio M, Dick R, et al. Understanding and preventing noncontact anterior cruciate ligament injuries: A review of the Hunt Valley II meeting, January 2005. Am J Sports Med. 2006;34:1512–32. DOI: 10.1177/0363546506286866.

Hackney A. Hypogonadism in exercising males: Dysfunction or adaptive-regulatory adjustment? Front Endocrinol (Lausanne). 2020;11:11. DOI: 10.3389/fendo.2020.00011.

de Jonge X. Effects of the menstrual cycle on exercise performance. Sport Med. 2003;33:833–51. DOI: 10.2165/00007256-200333110-00004.

Lehre A, Lehre K, Laake P, Danbolt N. Greater intrasex phenotype variability in males than in females is a fundamental aspect of the gender differences in humans. Dev Psychobiol. 2009;51:198–206. DOI: 10.1002/dev.20358.

Halpern D, Benbow C, Geary D, Gur R, Shibley Hyde J, Gernsbacher M. The science of sex differences in science and mathematics. Psychol Sci Public Interes. 2007;8:1–51. DOI: 10.1111/j.1529-1006.2007.00032.x.

Thoni C, Volk S. Converging evidence for greater male variability in time, risk, and social preferences. Proc Natl Acad Sci. 2021;118:e2026112118. DOI: 10.1073/pnas.2026112118.

Halsey L, Esteves G, Dolan E. Variability in variability: Does variation in morphological and physiological traits differ between men and women? R Soc Open Sci. 2023;10:230713. DOI: 10.1098/rsos.230713.

Colenso-Semple L, D’Souza A, Elliott-Sale K, Phillips S. Current evidence shows no influence of women’s menstrual cycle phase on acute strength performance or adaptations to resistance exercise training. Front Sport Act Living. 2023;23:1054542. DOI: 10.3389/fspor.2023.1054542.

McNulty K, Elliott-Sale K, Dolan E, Swinton P, Ansdell P, Goodall S, et al. The effects of menstrual cycle phase on exercise performance in eumenorrheic women: A systematic review and meta-analysis. Sport Med. 2020;50:1813–27. DOI: 10.1007/s40279-020-01319-3.

Nevill A, Atkinson G. Assessing agreement between measurements recorded on a ratio scale in sports medicine and sports science. Br J Sports Med. 1997;31:314–8. DOI: 10.1136/bjsm.31.4.314.

Oxfeldt M, Dalgaard L, Jorgensen A, Hansen M. Hormonal contraceptive use, menstrual dysfunctions, and self-reported side effects in elite athletes in Denmark. Int J Sports Physiol Perform. 2020;15:1377–84. DOI: 10.1123/ijspp.2019-0636.

Martin D, Sale C, Cooper S, Elliott-Sale K. Period prevalence and perceived side effects of hormonal contraceptive use and the menstrual cycle in elite athletes. Int J Sports Physiol Perform. 2018;13:926–32. DOI: 10.1123/ijspp.2017-0330.

Eliott-Sale K, Minahan C, Janse de Jong X, Ackerman K, Sipila S, COnstantini N, et al. Methodological considerations for studies in sport and exercise science with women as participants: A working guide for standards or practice for research on women. Sport Med. 2021;51:843–61. DOI: 10.1007/s40279-021-01435-8.

Swinton P, Stephens Hemingway B, Gallagher I, Dolan E. Preprint: Statistical methods to reduce the effects of measurement error in sport and exercise: A guide for practitioners and applied researchers. SportRXiv. 2023. DOI: 10.5122/SRXIV.247.

Skorski S, Hecksteden A. Coping with the “small sample - small relevant effects” dilemma in elite sport research. Int J Sports Physiol Perform. 2021;16:1559–60. DOI: 10.1123/ijspp.2021-0467.

Abt G, Boreham C, Davison G, Jackson R, Nevill A, Wallace E, et al. Power, precision, and sample size estimation in sport and exercise science research. J Sports Sci. 2020;38:1933–5. DOI: 10.1080/02640414.2020.1776002.

Wang B, Ogburn E, Rosenblum M. Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions. Biometrics. 2019;75:1391–400. DOI: 10.1111/biom.13062.

Kent D, Steyererg E, van Klaveren D. Personalized evidence based medicine: Predictive approaches to heterogeneous treatment effects. Br Med J. 2018;363:k4245. DOI: 10.1136/bmj.k4245.

Shapiro J, Klein S, Morgan R. Stop “controlling” for sex and gender in global health research. BMJ Glob Heal. 2021;6:e005714. DOI: 10.1136/bmjgh-2021-005714.

Varadhan R, Seeger J. Estimation and reporting of heterogeneity of treatment effects. In: Velentgas P, Dreyer N, Nourjah P, Smith S, Torchia M, editors. Dev a Protoc Obs Comp Eff Res A user’s Guid. Rockville, MD: Agency for Healthcare Research and Quality (US); 2013. Available from: https://www.ncbi.nlm.nih.gov/books/NBK126188/.

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Posted

2024-09-16