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Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES
Occupation determines workers' physical activity (PA) in the workplace, an important health behavior contributing to health outcomes. However, self-reported measure limits our understanding of how occupational tasks differentiate workers' PA in terms of the type, frequency, intensity, and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688871/ https://www.ncbi.nlm.nih.gov/pubmed/34977325 http://dx.doi.org/10.1016/j.ssmph.2021.100989 |
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author | Yu, Xiao Hao, Lingxin Crainiceanu, Ciprian Leroux, Andrew |
author_facet | Yu, Xiao Hao, Lingxin Crainiceanu, Ciprian Leroux, Andrew |
author_sort | Yu, Xiao |
collection | PubMed |
description | Occupation determines workers' physical activity (PA) in the workplace, an important health behavior contributing to health outcomes. However, self-reported measure limits our understanding of how occupational tasks differentiate workers' PA in terms of the type, frequency, intensity, and duration. In addition, accurate estimation of occupation-based PA during workers' actual working hours requires precise work schedule information. To address these limitations, this study employs data on accelerometer-monitored PA and work schedule from the 2005–2006 National Health and Nutrition Examination Survey (NHANES). It asks two questions: How do occupations determine PA among regular daytime workers in the United States? Second, how large a share of PA difference between two occupations is attributable to differences in the implicit occupational tasks, relative to workers’ demographic, health preconditions, and socioeconomic attributes? Calculating PA during the 9-to-5 period among daytime regular workers on weekdays and conducting Blinder-Oaxaca decomposition analysis, we yield insights into the occupational determinant of both PA volume (total activity counts) and fragmentation (bouts of activities). Worksite health promotion can utilize the objective occupation-PA link and design occupation-tailored interventions, which is currently underdeveloped in the United States. Moreover, our findings shed light on the physical nature of occupation, suggesting a fruitful step to reconcile the documented mixed findings on occupation-based PA and health outcomes in future studies. |
format | Online Article Text |
id | pubmed-8688871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86888712021-12-30 Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES Yu, Xiao Hao, Lingxin Crainiceanu, Ciprian Leroux, Andrew SSM Popul Health Article Occupation determines workers' physical activity (PA) in the workplace, an important health behavior contributing to health outcomes. However, self-reported measure limits our understanding of how occupational tasks differentiate workers' PA in terms of the type, frequency, intensity, and duration. In addition, accurate estimation of occupation-based PA during workers' actual working hours requires precise work schedule information. To address these limitations, this study employs data on accelerometer-monitored PA and work schedule from the 2005–2006 National Health and Nutrition Examination Survey (NHANES). It asks two questions: How do occupations determine PA among regular daytime workers in the United States? Second, how large a share of PA difference between two occupations is attributable to differences in the implicit occupational tasks, relative to workers’ demographic, health preconditions, and socioeconomic attributes? Calculating PA during the 9-to-5 period among daytime regular workers on weekdays and conducting Blinder-Oaxaca decomposition analysis, we yield insights into the occupational determinant of both PA volume (total activity counts) and fragmentation (bouts of activities). Worksite health promotion can utilize the objective occupation-PA link and design occupation-tailored interventions, which is currently underdeveloped in the United States. Moreover, our findings shed light on the physical nature of occupation, suggesting a fruitful step to reconcile the documented mixed findings on occupation-based PA and health outcomes in future studies. Elsevier 2021-12-04 /pmc/articles/PMC8688871/ /pubmed/34977325 http://dx.doi.org/10.1016/j.ssmph.2021.100989 Text en https://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 | Article Yu, Xiao Hao, Lingxin Crainiceanu, Ciprian Leroux, Andrew Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES |
title | Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES |
title_full | Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES |
title_fullStr | Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES |
title_full_unstemmed | Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES |
title_short | Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005–2006 NHANES |
title_sort | occupational determinants of physical activity at work: evidence from wearable accelerometer in 2005–2006 nhanes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688871/ https://www.ncbi.nlm.nih.gov/pubmed/34977325 http://dx.doi.org/10.1016/j.ssmph.2021.100989 |
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