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Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior

INTRODUCTION: Insights into the diurnal patterns of sedentary behavior and the identification of subgroups that are at increased risk for engaging in high levels of sedentary behavior are needed to inform potential interventions for reducing older adults’ sedentary time. Therefore, we examined the d...

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Autores principales: Van Cauwenberg, Jelle, Van Holle, Veerle, De Bourdeaudhuij, Ilse, Owen, Neville, Deforche, Benedicte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526644/
https://www.ncbi.nlm.nih.gov/pubmed/26244676
http://dx.doi.org/10.1371/journal.pone.0133175
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author Van Cauwenberg, Jelle
Van Holle, Veerle
De Bourdeaudhuij, Ilse
Owen, Neville
Deforche, Benedicte
author_facet Van Cauwenberg, Jelle
Van Holle, Veerle
De Bourdeaudhuij, Ilse
Owen, Neville
Deforche, Benedicte
author_sort Van Cauwenberg, Jelle
collection PubMed
description INTRODUCTION: Insights into the diurnal patterns of sedentary behavior and the identification of subgroups that are at increased risk for engaging in high levels of sedentary behavior are needed to inform potential interventions for reducing older adults’ sedentary time. Therefore, we examined the diurnal patterns and sociodemographic correlates of older adults’ sedentary behavior(s). METHODS: Stratified cluster sampling was used to recruit 508 non-institutionalized Belgian older adults (≥ 65 years). Morning, afternoon, evening and total sedentary time was assessed objectively using accelerometers. Specific sedentary behaviors, total sitting time and sociodemographic attributes were assessed using an interviewer-administered questionnaire. RESULTS: Participants self-reported a median of 475 (Q1-Q3 = 383–599) minutes/day of total sitting time and they accumulated a mean of 580 ± 98 minutes/day of accelerometer-derived sedentary time. Sedentary time was lowest during the morning and highest during the evening. Older participants were as sedentary as younger participants during the evening, but they were more sedentary during daytime. Compared to married participants, widowers were more sedentary during daytime. Younger participants (< 75 years), men and the higher educated were more likely to engage in (high levels of) sitting while driving a car and using the computer. Those with tertiary education viewed 29% and 22% minutes/day less television compared to those with primary or secondary education, respectively. Older participants accumulated 35 sedentary minutes/day more than did younger participants and men accumulated 32 sedentary minutes/day more than did women. CONCLUSION: These findings highlight diurnal variations and potential opportunities to tailor approaches to reducing sedentary time for subgroups of the older adult population.
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spelling pubmed-45266442015-08-12 Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior Van Cauwenberg, Jelle Van Holle, Veerle De Bourdeaudhuij, Ilse Owen, Neville Deforche, Benedicte PLoS One Research Article INTRODUCTION: Insights into the diurnal patterns of sedentary behavior and the identification of subgroups that are at increased risk for engaging in high levels of sedentary behavior are needed to inform potential interventions for reducing older adults’ sedentary time. Therefore, we examined the diurnal patterns and sociodemographic correlates of older adults’ sedentary behavior(s). METHODS: Stratified cluster sampling was used to recruit 508 non-institutionalized Belgian older adults (≥ 65 years). Morning, afternoon, evening and total sedentary time was assessed objectively using accelerometers. Specific sedentary behaviors, total sitting time and sociodemographic attributes were assessed using an interviewer-administered questionnaire. RESULTS: Participants self-reported a median of 475 (Q1-Q3 = 383–599) minutes/day of total sitting time and they accumulated a mean of 580 ± 98 minutes/day of accelerometer-derived sedentary time. Sedentary time was lowest during the morning and highest during the evening. Older participants were as sedentary as younger participants during the evening, but they were more sedentary during daytime. Compared to married participants, widowers were more sedentary during daytime. Younger participants (< 75 years), men and the higher educated were more likely to engage in (high levels of) sitting while driving a car and using the computer. Those with tertiary education viewed 29% and 22% minutes/day less television compared to those with primary or secondary education, respectively. Older participants accumulated 35 sedentary minutes/day more than did younger participants and men accumulated 32 sedentary minutes/day more than did women. CONCLUSION: These findings highlight diurnal variations and potential opportunities to tailor approaches to reducing sedentary time for subgroups of the older adult population. Public Library of Science 2015-08-05 /pmc/articles/PMC4526644/ /pubmed/26244676 http://dx.doi.org/10.1371/journal.pone.0133175 Text en © 2015 Van Cauwenberg et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Van Cauwenberg, Jelle
Van Holle, Veerle
De Bourdeaudhuij, Ilse
Owen, Neville
Deforche, Benedicte
Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior
title Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior
title_full Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior
title_fullStr Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior
title_full_unstemmed Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior
title_short Diurnal Patterns and Correlates of Older Adults’ Sedentary Behavior
title_sort diurnal patterns and correlates of older adults’ sedentary behavior
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4526644/
https://www.ncbi.nlm.nih.gov/pubmed/26244676
http://dx.doi.org/10.1371/journal.pone.0133175
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