Associations between 24-h movement behaviors and indicators of mental health and well-being across the lifespan: a systematic review
Notice bibliographique
Résumé
Researchers have adopted a variety of analytical techniques to examine the collective influence of 24-h movement behaviors (i.e., physical activity, sedentary behaviors, sleep) on mental health, but efforts to synthesize this growing body of literature have been limited to studies of children and youth. This systematic review investigated how combinations of 24-h movement behaviors relate to indicators of mental ill-being and well-being across the lifespan. A systematic search of MEDLINE, PsycINFO, Embase, and SPORTDiscus was conducted. Studies were included if they reported all three movement behaviors; an indicator of mental ill-being or well-being; and were published in English after January 2009. Samples of both clinical and non-clinical populations were included. A total of 73 studies (n = 58 cross-sectional; n = 15 longitudinal) met our inclusion criteria, of which 47 investigated children/youth and 26 investigated adults. Seven analytical approaches were used: guideline adherence (total and specific combinations), movement compositions, isotemporal substitution, profile/cluster analyses, the Goldilocks method and rest-activity rhythmicity. More associations were reported for indicators of mental ill-being (n = 127 for children/youth; n = 53 for adults) than well-being (n = 54 for children/youth; n = 26 for adults). Across the lifespan, favorable benefits were most consistently observed for indicators of mental well-being and ill-being when all three components of the 24-h movement guidelines were met. Movement compositions were more often associated with indicators of mental health for children and youth than adults. Beneficial associations were consistently observed for indicators of mental health when sedentary behavior was replaced with sleep or physical activity. Other analytic approaches indicated that engaging in healthier and more consistent patterns of movement behaviors (emphasizing adequate sleep, maximizing physical activity, minimizing sedentary behaviors) were associated with better mental health. Favorable associations were reported less often in longitudinal studies. Collectively, these findings provide further support for adopting an integrative whole day approach to promote mental well-being and prevent and manage mental ill-being over the status quo of focusing on these behaviors in isolation. This literature, however, is still emerging-for adults in particular-and more longitudinal work is required to make stronger inferences.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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 | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| 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 ».