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Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults

BACKGROUND: Prolonged periods of sitting time can be adversely associated with older adults’ well-being and functional capacities. Understanding patterns and contexts of sedentary behaviors (SB) can inform approaches to prevention. This study examined Japanese older adults’ objectively-assessed patt...

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Autores principales: Shibata, Ai, Oka, Koichiro, Ishii, Kaori, Miyawaki, Rina, Inoue, Shigeru, Sugiyama, Takemi, Owen, Neville
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680057/
https://www.ncbi.nlm.nih.gov/pubmed/30369510
http://dx.doi.org/10.2188/jea.JE20180041
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author Shibata, Ai
Oka, Koichiro
Ishii, Kaori
Miyawaki, Rina
Inoue, Shigeru
Sugiyama, Takemi
Owen, Neville
author_facet Shibata, Ai
Oka, Koichiro
Ishii, Kaori
Miyawaki, Rina
Inoue, Shigeru
Sugiyama, Takemi
Owen, Neville
author_sort Shibata, Ai
collection PubMed
description BACKGROUND: Prolonged periods of sitting time can be adversely associated with older adults’ well-being and functional capacities. Understanding patterns and contexts of sedentary behaviors (SB) can inform approaches to prevention. This study examined Japanese older adults’ objectively-assessed patterns and reported domains of SB and their interrelationships. METHODS: Participants (n = 297; aged 65–84 years) of this cross-sectional study wore an accelerometer for 7 days and completed a survey. Five measures related to SB patterns were identified from the accelerometer data. SB from six domains, socio-demographics, and chronic conditions were identified from the survey data. Relative contributions of six domains to objectively-measured prolonged sedentary time (≥30 minutes) and the number of breaks were examined in a series of multivariate linear regressions. Covariates were socio-demographics, chronic conditions, and accelerometer wear time. RESULTS: On average, participants spent 8.8 hours a day sedentary (58% of accelerometer wear time), with 7.6 breaks per sedentary hour, and 3.7 hours a day through prolonged sedentary bouts (4.4 time/day). The proportions of time in the SB domains were 9.4% for car, 4.0% for public transport, 6.1% for work, 45.5% for television (TV) viewing, 9.8% for computer use, and 25.1% for other leisure. Domains of SB that contributed significantly to longer sedentary time through prolonged bouts were TV viewing and computer use. TV viewing was also associated with a lesser number of breaks. CONCLUSIONS: For Japanese older adults, initiatives to address SB could focus on breaking-up prolonged periods of SB by encouraging more frequent breaks, especially during TV viewing.
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spelling pubmed-66800572019-09-12 Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults Shibata, Ai Oka, Koichiro Ishii, Kaori Miyawaki, Rina Inoue, Shigeru Sugiyama, Takemi Owen, Neville J Epidemiol Original Article BACKGROUND: Prolonged periods of sitting time can be adversely associated with older adults’ well-being and functional capacities. Understanding patterns and contexts of sedentary behaviors (SB) can inform approaches to prevention. This study examined Japanese older adults’ objectively-assessed patterns and reported domains of SB and their interrelationships. METHODS: Participants (n = 297; aged 65–84 years) of this cross-sectional study wore an accelerometer for 7 days and completed a survey. Five measures related to SB patterns were identified from the accelerometer data. SB from six domains, socio-demographics, and chronic conditions were identified from the survey data. Relative contributions of six domains to objectively-measured prolonged sedentary time (≥30 minutes) and the number of breaks were examined in a series of multivariate linear regressions. Covariates were socio-demographics, chronic conditions, and accelerometer wear time. RESULTS: On average, participants spent 8.8 hours a day sedentary (58% of accelerometer wear time), with 7.6 breaks per sedentary hour, and 3.7 hours a day through prolonged sedentary bouts (4.4 time/day). The proportions of time in the SB domains were 9.4% for car, 4.0% for public transport, 6.1% for work, 45.5% for television (TV) viewing, 9.8% for computer use, and 25.1% for other leisure. Domains of SB that contributed significantly to longer sedentary time through prolonged bouts were TV viewing and computer use. TV viewing was also associated with a lesser number of breaks. CONCLUSIONS: For Japanese older adults, initiatives to address SB could focus on breaking-up prolonged periods of SB by encouraging more frequent breaks, especially during TV viewing. Japan Epidemiological Association 2019-09-05 /pmc/articles/PMC6680057/ /pubmed/30369510 http://dx.doi.org/10.2188/jea.JE20180041 Text en © 2018 Ai Shibata et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Shibata, Ai
Oka, Koichiro
Ishii, Kaori
Miyawaki, Rina
Inoue, Shigeru
Sugiyama, Takemi
Owen, Neville
Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults
title Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults
title_full Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults
title_fullStr Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults
title_full_unstemmed Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults
title_short Objectively-Assessed Patterns and Reported Domains of Sedentary Behavior Among Japanese Older Adults
title_sort objectively-assessed patterns and reported domains of sedentary behavior among japanese older adults
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680057/
https://www.ncbi.nlm.nih.gov/pubmed/30369510
http://dx.doi.org/10.2188/jea.JE20180041
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