Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005-2006 NHANES.

Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005-2006 NHANES.
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DOI:
10.1016/j.ssmph.2021.100989
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发表时间:
2022-03
期刊:
SSM - population health
影响因子:
--
通讯作者:
Leroux A
Leroux A
中科院分区:
其他
文献类型:
--
作者:
Yu X;Hao L;Crainiceanu C;Leroux A

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职业决定了工人在工作场所的身体活动(PA),这是一种重要的健康行为,有助于健康结果。然而,自我报告的测量限制了我们的理解,如何职业任务区分工人的PA的类型,频率,强度和持续时间。此外,在工人的实际工作时间内准确估计基于职业的PA需要精确的工作时间表信息。为了解决这些局限性,本研究采用了2005-2006年全国健康与营养调查(NHANES)的加速度计监测PA和工作时间表的数据。它提出了两个问题:在美国,职业如何决定白天工作的人的PA?第二,两种职业之间的PA差异在多大程度上归因于内隐职业任务的差异,相对于工人的人口统计学,健康先决条件和社会经济属性?计算工作日朝九晚五期间白天正规工人的PA,并进行Blinder-Oaxaca分解分析,我们可以深入了解PA量(总活动计数)和碎片化(活动次数)的职业决定因素。工作场所的健康促进可以利用客观的职业PA链接和设计职业量身定制的干预措施,这是目前欠发达的美国。此外,我们的研究结果揭示了职业的物理性质,这表明在未来的研究中,一个富有成效的步骤来调和记录的混合结果基于职业的PA和健康结果。基于职业的PA通过结合加速度计数据和工作时间表来测量。计算机/数学和手工职业占据了PA数量的两个极端。PA碎片化进一步区分了具有类似数量的职业。PA差异的很大一部分是由于职业而不是工人的属性。
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. Occupation-based PA is measured by combining accelerometry data and work schedule. Computer/math and manual occupations occupy two extremes of PA volume. PA fragmentation further differentiates occupations with similar volume. A substantial share of PA difference is due to occupations than workers' attributes.
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