Feeling the Strain: Understanding the Relationship between Stress and Physical Activity in Members of the Royal Canadian Navy
Bibliographic record
Abstract
INTRODUCTION: Research finds that experiencing psychological stress can be associated with engaging in less physical activity, a critical contributor to operational readiness and overall health and well-being. As navy personnel tend to engage in lower levels of physical activity than other military personnel, the purpose of this study was to examine the relationship between stress and physical activity in the Royal Canadian Navy (RCN) and identify moderators of this relationship. MATERIALS AND METHODS: Data for this study were obtained from an electronic workplace well-being survey administered to a stratified random sample of 930 members in hard sea occupations managed by the RCN. Multivariable logistic regressions examined the associations between indicators of stress (e.g., job stress, burnout, work-life conflict, and psychological distress) and physical activity engagement; the moderating effects of demographic/military characteristics and health status (e.g., rank, gender, sailing status, general health status, and body mass index [BMI]) were examined. RESULTS: Navy personnel who were married or in common-law relationships and those who reported poorer overall health were less likely to be physically active. Navy personnel with lower psychological distress were more likely be active (P = .03); however, direct associations with other indicators of stress were not significant. BMI was the only significant moderator of the relationship between stress and physical activity. Specifically, for members classified as obese, higher levels of burnout and work-life conflict were associated with being more physically active. Conversely, nonobese members with elevated burnout reported less physical activity. CONCLUSIONS: The findings of this study support a complex relationship between experiencing stress and engaging in physical activity, which showed varying patterns based on BMI classification. Although the cross-sectional nature of the data precludes any inferences about the direction of these effects, the results suggest that some members of the RCN are more at risk of experiencing decrements in physical activity. Future research should examine the types of physical activity supports and incentives that are needed to ensure that navy personnel derive the benefits of an active lifestyle, especially in times of stress.
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 | 0.001 | 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 | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".