The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.
The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.
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DOI：
10.1093/aje/kwx003
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发表时间：
2017-07-15
影响因子：
5
通讯作者：
Roberts RE
中科院分区：
文献类型：
--
作者：
Conway SH;Pompeii LA;Gimeno Ruiz de Porras D;Follis JL;Roberts RE
长时间工作与不利的健康结果有关。然而，还没有确定长时间工作与有害健康风险之间的关系。回顾性分析了在美国进行的收入动态小组研究（1986-2011）中约2，000名参与者的工作时间重复测量，以获得最佳预测三种健康结果的长时间工作的统计优化临界点。工作时间的临界点进行了评估，模型拟合，校准和歧视分别为不良的自我报告的一般健康状况，心血管疾病和癌症事件的结果。对于每种结果，最能预测风险增加的工作时间阈值是每周52小时或以上，至少持续10年。暴露在这一水平的工人有更高的风险，自我报告的一般健康状况不佳（相对风险（RR）= 1.28; 95%置信区间（CI）：1.06，1.53），心血管疾病（RR = 1.42; 95%CI：1.24，1.63）和癌症（RR = 1.62; 95%CI：1.22，2.17）相比，每周工作35-51小时，相同的时间。这项研究提供了第一个基于健康风险的长时间工作定义。需要进一步检查该临界点对其他健康结果和其他研究人群的预测能力。
Working long hours has been associated with adverse health outcomes. However, a definition of long work hours relative to adverse health risk has not been established. Repeated measures of work hours among approximately 2,000 participants from the Panel Study of Income Dynamics (1986–2011), conducted in the United States, were retrospectively analyzed to derive statistically optimized cutpoints of long work hours that best predicted three health outcomes. Work-hours cutpoints were assessed for model fit, calibration, and discrimination separately for the outcomes of poor self-reported general health, incident cardiovascular disease, and incident cancer. For each outcome, the work-hours threshold that best predicted increased risk was 52 hours per week or more for a minimum of 10 years. Workers exposed at this level had a higher risk of poor self-reported general health (relative risk (RR) = 1.28; 95% confidence interval (CI): 1.06, 1.53), cardiovascular disease (RR = 1.42; 95% CI: 1.24, 1.63), and cancer (RR = 1.62; 95% CI: 1.22, 2.17) compared with those working 35–51 hours per week for the same duration. This study provides the first health risk–based definition of long work hours. Further examination of the predictive power of this cutpoint on other health outcomes and in other study populations is needed.
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