A preliminary study investigating the neglected domain of mental health in Australian lifesavers and lifeguards
Bibliographic record
Abstract
BACKGROUND: Surf lifesavers and lifeguards have provided essential education, preventative, and rescue services to the Australian community for over 110 years. In this first responder role, surf lifesavers and lifeguards are inadvertently exposed to high risk and trauma related experiences, which may negatively impact mental well-being. To date however, there has been limited research into the mental health of surf lifesavers and lifeguards, and no studies at all on the mental health of adolescent surf lifesavers. The preliminary study aimed to measure the exposure of potentially traumatic events (PTEs), post-traumatic stress symptoms (PTSS), self-efficacy, social support, and attitudes towards mental health problems in Surf Life Saving (SLS) members. METHODS: An anonymous, online survey was developed (adolescent and adult versions) and created to measure the domain of mental health in surf lifesavers and lifeguards. Pearson's correlations investigated relationships between PTEs, PTSS, self-efficacy, social support, attitudes towards mental health problems, age, years as a SLS member, and years patrolling. Spearman's Rank was used for violations of normality. RESULTS: A total of 57 surf lifesavers/lifeguards aged 13-59 years were included in the final analysis. There was a significant positive relationship between exposure to direct trauma and PTSS, which in turn, were associated with greater negative attitudes towards mental health problems towards the mental health of others, and lower levels of self-efficacy. Male and female adults with PTSS reported lower social support, whereas for adolescent males, a positive relationship between direct trauma and PTSS was observed. CONCLUSION: This research is the first to explore the mental health of Australian surf lifesavers and lifeguards. The results highlight the potential risks to mental health and well-being associated with this first responder role. More research to protect the vulnerability of this population is warranted.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".