Feeling the Strain: Understanding the Relationship between Stress and Physical Activity in Members of the Royal Canadian Navy
Notice bibliographique
Résumé
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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».