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Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity

BACKGROUND: Daily step count is the simplest measure of physical activity. However, little is known about how daily step count related to time spent in different intensities of physical activity (PA) and sedentary behavior (SB). METHODS: These cross-sectional data were derived from 450 older Japanes...

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Autores principales: Amagasa, Shiho, Fukushima, Noritoshi, Kikuchi, Hiroyuki, Oka, Koichiro, Chastin, Sebastien, Tudor-Locke, Catrine, Owen, Neville, Inoue, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021884/
https://www.ncbi.nlm.nih.gov/pubmed/32536640
http://dx.doi.org/10.2188/jea.JE20200080
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author Amagasa, Shiho
Fukushima, Noritoshi
Kikuchi, Hiroyuki
Oka, Koichiro
Chastin, Sebastien
Tudor-Locke, Catrine
Owen, Neville
Inoue, Shigeru
author_facet Amagasa, Shiho
Fukushima, Noritoshi
Kikuchi, Hiroyuki
Oka, Koichiro
Chastin, Sebastien
Tudor-Locke, Catrine
Owen, Neville
Inoue, Shigeru
author_sort Amagasa, Shiho
collection PubMed
description BACKGROUND: Daily step count is the simplest measure of physical activity. However, little is known about how daily step count related to time spent in different intensities of physical activity (PA) and sedentary behavior (SB). METHODS: These cross-sectional data were derived from 450 older Japanese adults (56.7% men; mean age, 74.3 years) who were randomly selected from three communities and responded a survey. Daily step count and time spent in moderate-to-vigorous PA (MVPA), light-intensity PA (LPA), and SB were measured using a validated wearable technology (HJA-350IT). Associations of daily step count with time spent in measured behaviors were examined using linear regression models with isometric log-ratio transformations of time-use composition, adjusting for gender, age, and residential area. RESULTS: Participants averaged 5,412 (standard deviation, 2,878) steps/d and accumulated MVPA, LPA, and SB corresponding to 4.0%, 34.8%, and 61.2% of daily waking time, respectively. Daily step count significantly increased with increase in time spent in MVPA relative to other behaviors (ie, LPA and SB) and in the ratio of LPA to SB after allowing for MVPA. After stratification, daily step count was significantly related to the ratio of LPA to SB in those taking <5,000 steps/d, but not in those taking 5,000–7,499 and ≥7,500 steps/d. CONCLUSIONS: Higher daily step count can be an indicator of not only larger relative contribution of time spent in MVPA, but also higher ratio between LPA and SB, particularly among those who are the least physically active.
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spelling pubmed-80218842021-05-05 Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity Amagasa, Shiho Fukushima, Noritoshi Kikuchi, Hiroyuki Oka, Koichiro Chastin, Sebastien Tudor-Locke, Catrine Owen, Neville Inoue, Shigeru J Epidemiol Original Article BACKGROUND: Daily step count is the simplest measure of physical activity. However, little is known about how daily step count related to time spent in different intensities of physical activity (PA) and sedentary behavior (SB). METHODS: These cross-sectional data were derived from 450 older Japanese adults (56.7% men; mean age, 74.3 years) who were randomly selected from three communities and responded a survey. Daily step count and time spent in moderate-to-vigorous PA (MVPA), light-intensity PA (LPA), and SB were measured using a validated wearable technology (HJA-350IT). Associations of daily step count with time spent in measured behaviors were examined using linear regression models with isometric log-ratio transformations of time-use composition, adjusting for gender, age, and residential area. RESULTS: Participants averaged 5,412 (standard deviation, 2,878) steps/d and accumulated MVPA, LPA, and SB corresponding to 4.0%, 34.8%, and 61.2% of daily waking time, respectively. Daily step count significantly increased with increase in time spent in MVPA relative to other behaviors (ie, LPA and SB) and in the ratio of LPA to SB after allowing for MVPA. After stratification, daily step count was significantly related to the ratio of LPA to SB in those taking <5,000 steps/d, but not in those taking 5,000–7,499 and ≥7,500 steps/d. CONCLUSIONS: Higher daily step count can be an indicator of not only larger relative contribution of time spent in MVPA, but also higher ratio between LPA and SB, particularly among those who are the least physically active. Japan Epidemiological Association 2021-05-05 /pmc/articles/PMC8021884/ /pubmed/32536640 http://dx.doi.org/10.2188/jea.JE20200080 Text en © 2020 Shiho Amagasa 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
Amagasa, Shiho
Fukushima, Noritoshi
Kikuchi, Hiroyuki
Oka, Koichiro
Chastin, Sebastien
Tudor-Locke, Catrine
Owen, Neville
Inoue, Shigeru
Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity
title Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity
title_full Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity
title_fullStr Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity
title_full_unstemmed Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity
title_short Older Adults’ Daily Step Counts and Time in Sedentary Behavior and Different Intensities of Physical Activity
title_sort older adults’ daily step counts and time in sedentary behavior and different intensities of physical activity
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021884/
https://www.ncbi.nlm.nih.gov/pubmed/32536640
http://dx.doi.org/10.2188/jea.JE20200080
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