ArticleSSM - population health2022
Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005-2006 NHANES.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Understanding the Link Between Physical Activity and Work Ability in University Staff: Protocol for a Gender-Sensitive Cross-Sectional Study.JMIR research protocols · 2025Observational
- Does accelerometer-measured physical activity and sedentary time differ between manual, in-office, hybrid and remote workers?Occupational and environmental medicine · 2025Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- Longevity, demographic characteristics, and socio-economic status are linked to triiodothyronine levels in the general population.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Individual-level socioeconomic status and cataract-induced visual disability among older adults in China: the overview and urban-rural difference.Frontiers in public health · 2024Article
- Article
- Gender difference in "second-shift" physical activity: New insights from analyzing accelerometry data in a nationally representative sample.SSM - population health · 2023Article
- Bowel Health in U.S. Shift Workers: Insights from a Cross-Sectional Study (NHANES).International journal of environmental research and public health · 2022Article
- Shiftwork Is Associated with Higher Food Insecurity in U.S. Workers: Findings from a Cross-Sectional Study (NHANES).International journal of environmental research and public health · 2022Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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.
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