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The relationship between occupational physical activity and self-reported vs measured total physical activity

INTRODUCTION: Despite the well-established benefits of physical activity (PA), a large portion of U.S. adults are not meeting recommended health-based guidelines. Although PA occurs in several domains, population-based studies tend to focus on leisure-time PA, with few studies examining occupational...

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Autores principales: Gudnadottir, Unnur, Cadmus-Bertram, Lisa, Spicer, Alexandra, Gorzelitz, Jess, Malecki, Kristen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598033/
https://www.ncbi.nlm.nih.gov/pubmed/31297308
http://dx.doi.org/10.1016/j.pmedr.2019.100908
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author Gudnadottir, Unnur
Cadmus-Bertram, Lisa
Spicer, Alexandra
Gorzelitz, Jess
Malecki, Kristen
author_facet Gudnadottir, Unnur
Cadmus-Bertram, Lisa
Spicer, Alexandra
Gorzelitz, Jess
Malecki, Kristen
author_sort Gudnadottir, Unnur
collection PubMed
description INTRODUCTION: Despite the well-established benefits of physical activity (PA), a large portion of U.S. adults are not meeting recommended health-based guidelines. Although PA occurs in several domains, population-based studies tend to focus on leisure-time PA, with few studies examining occupational activity (OA) level as a separate determinant of overall PA. METHODS: Data were obtained from the 2014–2016 Survey of Health of Wisconsin (SHOW). Currently employed SHOW participants (n = 822) were categorized into OA level categories. Bivariate analyses and multinomial logistic regression analyses were used to identify predictors and to test associations between OA and odds of meeting total PA guidelines using both self-reported and accelerometer-based data. RESULTS: Individuals with high OA level jobs tended to be males (p < 0.01), current smokers (p < 0.01), and have low education (p < 0.01). When measured by self-report, a greater proportion of individuals in high OA jobs (89%) met the physical activity guidelines compared to those in medium (78%) and low (76%) OA jobs (p = 0.01). Further, adjusted odds of doing some PA vs meeting PA guidelines were higher for low OA vs. high OA level (OR = 2.40, 95% CI 1.46–3.94, p < 0.01). This trend was not observed when PA was measured via accelerometer (OR = 1.00, 95% CI 0.62–1.60, p = 0.99). CONCLUSIONS: Correlations between low, intermediate, and high OA and levels of overall PA varied by measurement type. Further research is needed to improve PA measurements within subdomains such as OA and to examine the tradeoffs between OA and leisure-time PA and relationships with health.
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spelling pubmed-65980332019-07-11 The relationship between occupational physical activity and self-reported vs measured total physical activity Gudnadottir, Unnur Cadmus-Bertram, Lisa Spicer, Alexandra Gorzelitz, Jess Malecki, Kristen Prev Med Rep Regular Article INTRODUCTION: Despite the well-established benefits of physical activity (PA), a large portion of U.S. adults are not meeting recommended health-based guidelines. Although PA occurs in several domains, population-based studies tend to focus on leisure-time PA, with few studies examining occupational activity (OA) level as a separate determinant of overall PA. METHODS: Data were obtained from the 2014–2016 Survey of Health of Wisconsin (SHOW). Currently employed SHOW participants (n = 822) were categorized into OA level categories. Bivariate analyses and multinomial logistic regression analyses were used to identify predictors and to test associations between OA and odds of meeting total PA guidelines using both self-reported and accelerometer-based data. RESULTS: Individuals with high OA level jobs tended to be males (p < 0.01), current smokers (p < 0.01), and have low education (p < 0.01). When measured by self-report, a greater proportion of individuals in high OA jobs (89%) met the physical activity guidelines compared to those in medium (78%) and low (76%) OA jobs (p = 0.01). Further, adjusted odds of doing some PA vs meeting PA guidelines were higher for low OA vs. high OA level (OR = 2.40, 95% CI 1.46–3.94, p < 0.01). This trend was not observed when PA was measured via accelerometer (OR = 1.00, 95% CI 0.62–1.60, p = 0.99). CONCLUSIONS: Correlations between low, intermediate, and high OA and levels of overall PA varied by measurement type. Further research is needed to improve PA measurements within subdomains such as OA and to examine the tradeoffs between OA and leisure-time PA and relationships with health. Elsevier 2019-06-10 /pmc/articles/PMC6598033/ /pubmed/31297308 http://dx.doi.org/10.1016/j.pmedr.2019.100908 Text en © 2019 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Gudnadottir, Unnur
Cadmus-Bertram, Lisa
Spicer, Alexandra
Gorzelitz, Jess
Malecki, Kristen
The relationship between occupational physical activity and self-reported vs measured total physical activity
title The relationship between occupational physical activity and self-reported vs measured total physical activity
title_full The relationship between occupational physical activity and self-reported vs measured total physical activity
title_fullStr The relationship between occupational physical activity and self-reported vs measured total physical activity
title_full_unstemmed The relationship between occupational physical activity and self-reported vs measured total physical activity
title_short The relationship between occupational physical activity and self-reported vs measured total physical activity
title_sort relationship between occupational physical activity and self-reported vs measured total physical activity
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598033/
https://www.ncbi.nlm.nih.gov/pubmed/31297308
http://dx.doi.org/10.1016/j.pmedr.2019.100908
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