The relationship between occupational physical activity and self-reported vs measured total physical activity
The relationship between occupational physical activity and self-reported vs measured total physical activity
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DOI：
10.1016/j.pmedr.2019.100908
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发表时间：
2019-09-01
影响因子：
2.8
通讯作者：
Malecki, Kristen
中科院分区：
文献类型：
--
作者：
Gudnadottir, Unnur;Cadmus-Bertram, Lisa;Malecki, Kristen
简介：尽管身体活动（PA）的好处已经得到了很好的证实，但很大一部分美国成年人并没有达到推荐的健康指南。虽然PA发生在几个领域，以人口为基础的研究往往集中在休闲时间PA，很少有研究检查职业活动（OA）水平作为一个单独的决定因素的整体PA.Methods：数据来自2014-2016年健康调查的威斯康星州（SHOW）。目前就业的SHOW参与者（n = 822）被归类为OA水平类别。双变量分析和多项逻辑回归分析被用来确定预测因素，并测试OA和机会之间的关联，会议总PA guidelines使用自我报告和加速度计为基础的data.Results：个人与高OA水平的工作往往是男性（p <0.01），目前吸烟者（p < 0.01），并有低教育（p < 0.01）。通过自我报告进行测量时，与中等（78%）和低（76%）OA工作（p = 0.01）相比，高OA工作（89%）的个人比例更高。此外，低OA组与高OA组相比，进行某些PA与符合PA指南的调整后比值更高（OR = 2.40，95% CI 1.46-3.94，p < 0.01）。当通过加速度计测量PA时，未观察到这种趋势（OR = 1.00，95%CI 0.62-1.60，p = 0.99）。结论：低、中和高OA与总体PA水平之间的相关性因测量类型而异。需要进一步的研究，以改善PA测量的子域，如OA和检查OA和休闲时间PA之间的权衡和与健康的关系。
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.