Risk and protective factors for mental ill-health in elite para- and non-para athletes

Lisa S Olive; Simon M Rice; Caroline Gao; Vita Pilkington; Courtney C Walton; Matt Butterworth; Lyndel Abbott; Gemma Cross; Matti Clements; Rosemary Purcell

doi:10.3389/fpsyg.2022.939087

Risk and protective factors for mental ill-health in elite para- and non-para athletes

Front Psychol. 2022 Sep 2:13:939087. doi: 10.3389/fpsyg.2022.939087. eCollection 2022.

Authors

Lisa S Olive^{1

2

3}, Simon M Rice^{1

2}, Caroline Gao^{1

2}, Vita Pilkington^{1

2}, Courtney C Walton^{1

2}, Matt Butterworth⁴, Lyndel Abbott⁵, Gemma Cross⁴, Matti Clements⁴, Rosemary Purcell^{1

2}

Affiliations

¹ Elite Sports and Mental Health, Orygen, Parkville, VIC, Australia.
² Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
³ School of Psychology, Faculty of Health, Deakin University, Geelong, VIC, Australia.
⁴ Athlete Wellbeing and Engagement, Australian Institute of Sport, Canberra, ACT, Australia.
⁵ Paralympics Australia, Sydney, NSW, Australia.

Abstract

Objective: To apply a socioecological approach to identify risk and protective factors across levels of the "sports-ecosystem," which are associated with mental health outcomes among athletes in para-sports and non-para sports. A further aim is to determine whether para athletes have unique risks and protective factor profiles compared to non-para athletes.

Methods: A cross-sectional, anonymous online-survey was provided to all categorized (e.g., highest level) athletes aged 16 years and older, registered with the Australian Institute of Sport (AIS). Mental health outcomes included mental health symptoms (GHQ-28), general psychological distress (K-10), risky alcohol consumption (AUDIT-C) and eating disorder risk (BEDA-Q). Risk and protective factors across multiple levels of the socioecological model, including individual, microsystem, exosystem and macrosystem level factors were assessed via self-report.

Results: A total of 427 elite athletes (71 para and 356 non-para athletes) participated in the study. No significant differences in the rates of mental health problems were observed between para and non-para athletes. Both differences and similarities in risk and protective factor profiles were found across the multiple levels of the sports-ecosystem. Weak evidence was also found to support the hypothesis that certain risk factors, including experiencing two or more adverse life events in the past year, sports related concussion, high self-stigma, inadequate social support and low psychological safety conferred a greater risk for poorer mental health outcomes for para athletes in particular.

Conclusion: Risk factors occurring across various levels of the sports ecosystem, including individual, interpersonal and organizational level risk factors were found to be associated with a range of poorer mental health outcomes. The association between mental ill-health and certain risk factors, particularly those at the individual and microsystem level, appear to be greater for para athletes. These findings have important implications for policy and mental health service provision in elite sports settings, highlighting the need for more nuanced approaches to subpopulations, and the delivery of mental health interventions across all levels of the sports ecosystem.

Keywords: Paralympic; alcohol use and alcohol problems; eating disorder; elite athlete; mental health; psychological distress; psychological safety; psychology.