Seasonal Differences in Objective Measures of Sedentary Time in Older Community-Dwelling Women
Notice bibliographique
Résumé
Time in sedentary behaviours is being recognised as an independent contributor to adverse health outcomes. Seasonal variation in physical activity patterns has been previously described; such variation has not been evaluated for the amount of time spent in sedentary behaviours. PURPOSE: Our primary objective was to determine the difference in sedentary time assessed by accelerometry in community-dwelling post-menopausal women aged 65-75 years of age. Specifically we examined total sedentary time and breaks in sedentary time between summer and winter in older women. METHODS: This was an a priori secondary analysis of a randomized controlled trial to test the effect of frequency of resistance training (primary outcome was cognitive function). Participants were asked to wear accelerometers (ActiGraph GT1M, Pensacola, FL) during waking hours (except during study exercise classes and water-based activities) for 1 week (data collected in 1 min epoch with at least 4 days with 10+ hrs/day) at 2 time points: summer (July) and winter (January). We classified sedentary time as counts less than 100 counts/min using MeterPlus software (Santech, La Jolla, CA). Breaks in sedentary time were defined as interruptions in sedentary time with counts above 100counts/min. We determined the total sedentary time, number of breaks in sedentary time and length of breaks in sedentary time. We adjusted for wear time variability between measurement periods by standardizing values based on residuals. We compared sedentary outcomes between summer and winter using a paired-T test. RESULTS: 107 participants had valid accelerometry data to meet the inclusion criteria. We pooled the data as there was no difference among the intervention groups for the sedentary outcomes. The mean age was 69.6±2.9 years, mean BMI was 26.6±5.6 kg/m2 and mean 6 minute walk test was 516±81 meters. For a mean wear time 5.8 days: the mean total sedentary time was 47.6 ±6.9 hrs in the summer and 50.8 ±5.8 hrs in the winter (p<0.001); the total number of breaks in sedentary time were 461±66 in summer and 440 ±71 in the winter (p=0.01); and the total length of breaks in sedentary time was 26.6±6.9 hrs in summer and 23.4±5.8 hrs in the winter (p<0.001). CONCLUSIONS: In this physically active group of community-dwelling older women we note a seasonal difference in sedentary time.
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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 | 0,016 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».