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  Timing of objectively-collected physical activity in relation to body weight and metabolic health in sedentary older people: a cross-sectional and prospective analysis

Albalak, G., Stijntjes, M., Wijsman, C. A., Slagboom, P. E., van der Ouderaa, F. J., Mooijaart, S. P., et al. (2021). Timing of objectively-collected physical activity in relation to body weight and metabolic health in sedentary older people: a cross-sectional and prospective analysis. Int J Obes (Lond), 46(3), 515-522. doi:10.1038/s41366-021-01018-7.

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Albalak, G., Author
Stijntjes, M., Author
Wijsman, C. A., Author
Slagboom, P. E.1, Author           
van der Ouderaa, F. J., Author
Mooijaart, S. P., Author
van Heemst, D., Author
Noordam, R., Author
Affiliations:
1Slagboom – Molecular Epidemiology, External and Associated Groups, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_3394013              

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 Abstract: BACKGROUND: Little is known about the impact of timing as opposed to frequency and intensity of daily physical activity on metabolic health. Therefore, we assessed the association between accelerometery-based daily timing of physical activity and measures of metabolic health in sedentary older people. METHODS: Hourly mean physical activity derived from wrist-worn accelerometers over a 6-day period was collected at baseline and after 3 months in sedentary participants from the Active and Healthy Ageing study. A principal component analysis (PCA) was performed to reduce the number of dimensions (e.g. define periods instead of separate hours) of hourly physical activity at baseline and change during follow-up. Cross-sectionally, a multivariable-adjusted linear regression analysis was used to associate the principal components, particularly correlated with increased physical activity in data-driven periods during the day, with body mass index (BMI), fasting glucose and insulin, HbA1c and the homeostatic model assessment for insulin resistance (HOMA-IR). For the longitudinal analyses, we calculated the hourly changes in physical activity and change in metabolic health after follow-up. RESULTS: We included 207 individuals (61.4% male, mean age: 64.8 [SD 2.9], mean BMI: 28.9 [4.7]). Higher physical activity in the early morning was associated with lower fasting glucose (-2.22%, 95% CI: -4.19, -0.40), fasting insulin (-13.54%, 95%CI: -23.49, -4.39), and HOMA-IR (-16.07%, 95%CI: -27.63, -5.65). Higher physical activity in the late afternoon to evening was associated with lower BMI (-2.84%, 95% CI: -4.92, -0.70). Higher physical activity at night was associated with higher BMI (2.86%, 95% CI: 0.90, 4.78), fasting glucose (2.57%, 95% CI: 0.70, 4.30), and HbA1c (2.37%, 95% CI: 1.00, 3.82). Similar results were present in the prospective analysis. CONCLUSION: Specific physical activity timing patterns were associated with more beneficial metabolic health, suggesting particular time-dependent physical activity interventions might maximise health benefits.

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 Dates: 2022-032021-11-15
 Publication Status: Issued
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 Identifiers: Other: 34782736
DOI: 10.1038/s41366-021-01018-7
ISSN: 1476-5497 (Electronic)0307-0565 (Linking)
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Title: Int J Obes (Lond)
Source Genre: Journal
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Pages: - Volume / Issue: 46 (3) Sequence Number: - Start / End Page: 515 - 522 Identifier: -