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基于工作的死亡率预测指标:对健康员工 20 年的随访研究。

Work-based predictors of mortality: a 20-year follow-up of healthy employees.

机构信息

Faculty of Management, Tel AvivUniversity, Tel Aviv 69978, Israel.

出版信息

Health Psychol. 2011 May;30(3):268-75. doi: 10.1037/a0023138.

DOI:10.1037/a0023138
PMID:21553970
Abstract

OBJECTIVES

This study investigated the effects of the Job-Demand-Control-Support (JDC-S) model's components, workload, control, peer and supervisor social support, on the risk of all-cause mortality. Also examined was the expectation that the above work-based components interact in predicting all-cause mortality. The study's hypotheses were tested after controlling for physiological variables and health behaviors known to be risk factors for mortality.

MAIN OUTCOME MEASURE

The design used was prospective. Baseline data were obtained from healthy employees (N = 820) who underwent periodic health examinations in 1988. Follow-up data on all-cause mortality were obtained from the participants' computerized medical file, kept by their HMO, in 2008. The baseline data covered socioeconomic, behavioral, and biological risk factors in addition to the components of the JDC-S model. During the period of follow-up, 53 deaths were recorded. Data were analyzed using Cox regressions.

RESULTS

Only one main effect was found: the risk of mortality was significantly lower for those reporting high levels of peer social support. The study found two significant interactions. Higher levels of control reduced the risk of mortality for the men and increased it for the women. The main effect of peer social support on mortality risk was significantly higher for those whose baseline age ranged from 38 to 43 but not for the older than 43 or the younger than 38 participants.

CONCLUSION

Peer social support is a protective factor, reducing the risk of mortality, while perceived control reduces the risk of mortality among men but increases it among women.

摘要

目的

本研究调查了工作要求-控制-支持(JDC-S)模型的组成部分(工作负荷、控制、同事和主管社会支持)对全因死亡率风险的影响。还研究了上述工作组成部分相互作用预测全因死亡率的预期。在控制已知与死亡率相关的生理变量和健康行为后,检验了研究假设。

主要结果测量

该研究采用前瞻性设计。基线数据来自于在 1988 年接受定期健康检查的健康员工(N=820)。2008 年,从参与者的 HMO 保存的计算机化医疗档案中获得了全因死亡率的随访数据。基线数据涵盖了社会经济、行为和生物危险因素,以及 JDC-S 模型的组成部分。在随访期间,记录了 53 例死亡。使用 Cox 回归分析数据。

结果

仅发现了一个主要效应:报告高水平同事社会支持的人,其死亡率风险显著降低。研究发现了两个显著的交互作用。较高的控制水平降低了男性的死亡率风险,增加了女性的死亡率风险。对于基线年龄在 38 至 43 岁之间的参与者,同事社会支持对死亡率风险的主要影响显著更高,但对于年龄大于 43 岁或小于 38 岁的参与者则不然。

结论

同事社会支持是一个保护因素,可以降低死亡率风险,而感知控制则降低了男性的死亡率风险,但增加了女性的死亡率风险。

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