Influences on the mental health and well-being of retired professional athletes from high contact team sports: a mixed methods systematic review
Bibliographic record
Abstract
OBJECTIVE: To report the prevalence of mental health symptoms and influencing factors in retired professional high contact team sport (HCTS) athletes. DESIGN: Mixed-methods systematic review. DATA SOURCES: PsycINFO, Embase, Medline, SPORTDiscus and Scopus were searched in July 2023 and March 2025. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies that investigated mental health and/or influencing factors within retired professional HCTS athletes were included. Studies that were non-peer-reviewed, could not obtain full text, used secondary data or focused on non-elite/individual/low-contact sports were excluded. RESULTS: 85 studies were included in the final review, comprising 53 996 participants (females; n=247, 0.46%) from six sports (Australian Football League, Canadian Football League, football/soccer, ice hockey, National Football League and rugby). Prevalence ranges varied for each condition; smoking (0.9%-16%), depression (3%-49%), anxiety (4.3%-42%), cannabis use (5%-15.7%), adverse alcohol use (6.4%-68.8%), opioid use (7%-23.6%), stress (8.7%-26.9%), illicit drug use (10%-63.2%), anxiety/depression (10.2%-39%) and adverse nutritional behaviour (23.8%-64.5%). Of the studies including M and SD of validated scales, scores for depression, anxiety and sleep disturbance were equivalent to population norms, whereas mild or higher scores were reported for stress and adverse alcohol use. Concussion, pain, injury, neurological factors and declined physical function were shown to have a negative influence on mental health. Both negative and positive influences were observed for: athletic identity, psychosocial support, retirement autonomy, life events, osteoarthritis, retirement and cognitive function. 48% of studies had good methodological quality; however, most studies were cross-sectional, relied on self-report measures and lacked follow-up data and female athletes. CONCLUSION: Retired HCTS athletes experience high levels of psychological distress and adverse alcohol use, but depression, anxiety and sleep disturbance were similar to population norms. These results call for greater support measures for retired athletes. PROSPERO REGISTRATION NUMBER: CRD42023449114.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".