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Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study
BACKGROUND: Limited information exists on hour-by-hour physical activity (PA) patterns among adults aged 45–65 years. Therefore, this study aimed to distinguish typical hour-by-hour PA patterns, and examined which individuals typically adopt certain PA patterns. METHODS: Accelerometers measured ligh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306083/ https://www.ncbi.nlm.nih.gov/pubmed/29136195 http://dx.doi.org/10.1093/pubmed/fdx146 |
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author | Jansen, F M van Kollenburg, G H Kamphuis, C B M Pierik, F H Ettema, D F |
author_facet | Jansen, F M van Kollenburg, G H Kamphuis, C B M Pierik, F H Ettema, D F |
author_sort | Jansen, F M |
collection | PubMed |
description | BACKGROUND: Limited information exists on hour-by-hour physical activity (PA) patterns among adults aged 45–65 years. Therefore, this study aimed to distinguish typical hour-by-hour PA patterns, and examined which individuals typically adopt certain PA patterns. METHODS: Accelerometers measured light and moderate-vigorous PA. GIS-data provided proportions of land use within an 800 and 1600 m buffer around participant’s homes. Latent class analyses were performed to distinguish PA patterns and groups of individuals with similar PA patterns. RESULTS: Four PA patterns were identified: a morning light PA pattern, a mid-day moderate-vigorous PA pattern, an overall inactive pattern and an overall active pattern. Groups of individuals with similar PA patterns differed in ethnicity, dog ownership, and the proportion of roads, sports terrain, larger green and blue space within their residential areas. CONCLUSIONS: Four typical hour-by-hour PA patterns, and three groups of individuals with similar patterns were distinguished. It is this combination that can substantially contribute to the development of more tailored policies and interventions. PA patterns were only to a limited extent associated with personal and residential characteristics, suggesting that other factors such as work time regimes, family life and leisure may also have considerable impact on the distribution of PA throughout the day. |
format | Online Article Text |
id | pubmed-6306083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63060832019-01-07 Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study Jansen, F M van Kollenburg, G H Kamphuis, C B M Pierik, F H Ettema, D F J Public Health (Oxf) Original Article BACKGROUND: Limited information exists on hour-by-hour physical activity (PA) patterns among adults aged 45–65 years. Therefore, this study aimed to distinguish typical hour-by-hour PA patterns, and examined which individuals typically adopt certain PA patterns. METHODS: Accelerometers measured light and moderate-vigorous PA. GIS-data provided proportions of land use within an 800 and 1600 m buffer around participant’s homes. Latent class analyses were performed to distinguish PA patterns and groups of individuals with similar PA patterns. RESULTS: Four PA patterns were identified: a morning light PA pattern, a mid-day moderate-vigorous PA pattern, an overall inactive pattern and an overall active pattern. Groups of individuals with similar PA patterns differed in ethnicity, dog ownership, and the proportion of roads, sports terrain, larger green and blue space within their residential areas. CONCLUSIONS: Four typical hour-by-hour PA patterns, and three groups of individuals with similar patterns were distinguished. It is this combination that can substantially contribute to the development of more tailored policies and interventions. PA patterns were only to a limited extent associated with personal and residential characteristics, suggesting that other factors such as work time regimes, family life and leisure may also have considerable impact on the distribution of PA throughout the day. Oxford University Press 2018-12 2017-11-10 /pmc/articles/PMC6306083/ /pubmed/29136195 http://dx.doi.org/10.1093/pubmed/fdx146 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Faculty of Public Health. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Jansen, F M van Kollenburg, G H Kamphuis, C B M Pierik, F H Ettema, D F Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study |
title | Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study |
title_full | Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study |
title_fullStr | Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study |
title_full_unstemmed | Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study |
title_short | Hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study |
title_sort | hour-by-hour physical activity patterns of adults aged 45–65 years: a cross-sectional study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306083/ https://www.ncbi.nlm.nih.gov/pubmed/29136195 http://dx.doi.org/10.1093/pubmed/fdx146 |
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