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Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults

Older adults are insufficiently physically active, and therefore, are at an increased health risk. However, less is known about the moment-to-moment physical activity behavior patterns that change across the day. The current study utilized accelerometry to better understand diurnal physical activity...

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Autores principales: Hevel, Derek, Kennedy-Malone, Laurie, Sappenfield, Kourtney, Scheer, Heidi, Zecca, Christine, Maher, Jaclyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741115/
http://dx.doi.org/10.1093/geroni/igaa057.619
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author Hevel, Derek
Kennedy-Malone, Laurie
Sappenfield, Kourtney
Scheer, Heidi
Zecca, Christine
Maher, Jaclyn
author_facet Hevel, Derek
Kennedy-Malone, Laurie
Sappenfield, Kourtney
Scheer, Heidi
Zecca, Christine
Maher, Jaclyn
author_sort Hevel, Derek
collection PubMed
description Older adults are insufficiently physically active, and therefore, are at an increased health risk. However, less is known about the moment-to-moment physical activity behavior patterns that change across the day. The current study utilized accelerometry to better understand diurnal physical activity patterns. Minority older adults (N=91, age M=70.14, 96% Black/African American) participated in an 8-day study where they wore an ActivPAL accelerometer to measure physical activity. Physical activity was operationalized as stepping in the 60-minute window (±30-min) around a given moment. Time varying-effect modeling was used to determine how physical activity patterns change over the course of weekdays and weekend days. Results are rounded to the 5-min interval. On weekdays, time spent stepping increased from 8:00am (B=7.16, 95%CI: 5.04, 9.27) until peaking at 11:10am (B=8.46, 95%CI: 6.59, 10.33), slowly decreased to the lowest point at 6:10pm (B=6.72, 95%CI: 4.82, 8.62), and then increased slightly in the evening. On weekend days, time spent stepping was lowest at 8:00am (B=4.47, 95%CI: 2.14, 6.80), peaked at 12:20pm (B=5.50, 95%CI: 3.22, 7.78), gradually decreased until 5:50pm (B=5.21, 95%CI: 2.90, 7.52), and then increased slightly in the evening. Minority older adults engage in more stepping time around mid-day, but less stepping in the late afternoon to early evening on both weekdays and weekend days. Self-care activities (e.g., mealtime, bed-time routines) may influence older adults’ physical activity. This work identifies vulnerable times during the day when older adults engage in relatively low levels of physical activity which may be of interest for interventions.
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spelling pubmed-77411152020-12-21 Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults Hevel, Derek Kennedy-Malone, Laurie Sappenfield, Kourtney Scheer, Heidi Zecca, Christine Maher, Jaclyn Innov Aging Abstracts Older adults are insufficiently physically active, and therefore, are at an increased health risk. However, less is known about the moment-to-moment physical activity behavior patterns that change across the day. The current study utilized accelerometry to better understand diurnal physical activity patterns. Minority older adults (N=91, age M=70.14, 96% Black/African American) participated in an 8-day study where they wore an ActivPAL accelerometer to measure physical activity. Physical activity was operationalized as stepping in the 60-minute window (±30-min) around a given moment. Time varying-effect modeling was used to determine how physical activity patterns change over the course of weekdays and weekend days. Results are rounded to the 5-min interval. On weekdays, time spent stepping increased from 8:00am (B=7.16, 95%CI: 5.04, 9.27) until peaking at 11:10am (B=8.46, 95%CI: 6.59, 10.33), slowly decreased to the lowest point at 6:10pm (B=6.72, 95%CI: 4.82, 8.62), and then increased slightly in the evening. On weekend days, time spent stepping was lowest at 8:00am (B=4.47, 95%CI: 2.14, 6.80), peaked at 12:20pm (B=5.50, 95%CI: 3.22, 7.78), gradually decreased until 5:50pm (B=5.21, 95%CI: 2.90, 7.52), and then increased slightly in the evening. Minority older adults engage in more stepping time around mid-day, but less stepping in the late afternoon to early evening on both weekdays and weekend days. Self-care activities (e.g., mealtime, bed-time routines) may influence older adults’ physical activity. This work identifies vulnerable times during the day when older adults engage in relatively low levels of physical activity which may be of interest for interventions. Oxford University Press 2020-12-16 /pmc/articles/PMC7741115/ http://dx.doi.org/10.1093/geroni/igaa057.619 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Hevel, Derek
Kennedy-Malone, Laurie
Sappenfield, Kourtney
Scheer, Heidi
Zecca, Christine
Maher, Jaclyn
Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults
title Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults
title_full Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults
title_fullStr Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults
title_full_unstemmed Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults
title_short Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults
title_sort time-varying associations of physical activity on weekdays and weekend days in minority older adults
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741115/
http://dx.doi.org/10.1093/geroni/igaa057.619
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