Determinants and Associations of 24-hour Movement Behaviors in Desk Workers who Work from Home
Notice bibliographique
Résumé
Work from Home (WFH) has become a viable and common work modality. Scarce evidence exists assessing 24-hour movement behaviors in those who WFH. The goals of this project were to compare behaviors of WFH desk workers to office-based desk workers and to identify determinants and gain perspectives of those who WFH in relation to their 24-hour movement patterns. Methods: The first project was a secondary data analysis of baseline data from a randomized clinical trial among desk workers (n=275). Device-measured and self-reported 24-hour movement behaviors were compared between in-office vs. WFH worksite locations using linear regression. Odds of meeting 24-hour guidelines were also compared by worksite location, using the Canadian 24-hour movement guidelines as a framework. The second project used a mixed methods study design in WFH desk workers (n=27) to assess device-measured and self-reported 24-hour movement behavior data and gather qualitative data using focus groups. Focus group discussions intended to identify determinants and desired supports for healthy 24-hour movement behaviors in those who WFH. Following descriptive analysis of 24-hour behavior data, transcript analysis of five focus groups used Atlas.ti coding software, with two study coders, and identified salient themes. Results: For aim 1, WFH workers accumulated significantly less light physical activity (LPA) [-0.51±0.20 hours/day , p=0.01] and higher prolonged sedentary behavior (SB) [0.54±0.25 hours/day, p=0.03] compared to in-office workers. WFH workers were less likely to meet MVPA guidelines (OR: 0.52 [95% CI: 0.28, 0.98)]) and more likely to meet the sleep quality (OR: 2.23 [95% CI: 1.10, 4.51]), waketime consistency (OR: 2.63 [95% CI: 1.27, 5.48)]), and overall sleep guidelines (OR: 2.42 [95% CI: 1.25, 4.67]). For aim 2, focus groups in WFH individuals revealed three key themes that impacted their 24-hour movement behaviors: 1) workspace characteristics such as physical environment characteristics, 2) support for healthy living such as employer support, and 3) non-work-related influences including family obligations and self-motivation. Conclusions: WFH desk workers had different 24-hour behavior profiles to those who worked in office settings. Unique determinants of these behaviors for WFH contexts suggest future studies should incorporate WFH-specific determinants when designing interventions for this population.
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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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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.
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