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长时间工作与未来 3 个月的病假呈负相关:一项为期 4 年的登记研究。

Long working hours are inversely related to sick leave in the following 3 months: a 4-year registry study.

机构信息

Department of Mental Health, Norwegian University of Science and Technology, PO Box 8905, MTFS, 7491, Trondheim, Norway.

Department of Health Promotion, Norwegian Institute of Public Health, Zander Kaaes Gate 7, 5018, Bergen, Norway.

出版信息

Int Arch Occup Environ Health. 2019 May;92(4):457-466. doi: 10.1007/s00420-018-1372-x. Epub 2018 Nov 7.

Abstract

PURPOSE

The aim of this study was to investigate the effects of long working hours (≥ 12 h shifts) on sick leave using objective records of shift work exposure and of sick leave.

METHODS

A total of 1538 nurses (mean age 42.5, SD 12.0; response rate 42%) participated. Payroll and archival sick leave data over a 4-year period were retrieved from employers' records and aggregated over every third calendar month. A multilevel negative binomial model was used to investigate the effects of exposure to long working hours, on subsequent sick leave rates the following 3 months. Covariates included prior sick leave, number of shifts worked, night and evening shifts, personality, and demographic characteristics.

RESULTS

Exposure to long working hours was associated with fewer sick leave days in the subsequent 3 months [adjusted model, incidence rate ratio (IRR) = 0.946, 95% CI 0.919-0.973, p < 0.001]. The interaction long working hours by a number of work days showed that sick leave days the subsequent 3 months was higher by long shifts when number of shifts was high compared to when number of shifts was low [adjusted model, IRR 1.002, 95% CI 1.000-1.004, p < 0.05].

DISCUSSION

Long working hours was associated with fewer sick leave days. The restorative effects of extra days off with long working hours are discussed as possible explanations to this relationship.

摘要

目的

本研究旨在通过客观记录轮班工作暴露和病假情况,研究长时间工作(≥12 小时轮班)对病假的影响。

方法

共有 1538 名护士(平均年龄 42.5 岁,SD 12.0;应答率 42%)参与了研究。从雇主的记录中检索并汇总了 4 年期间的工资单和档案病假数据,每 3 个日历月汇总一次。采用多水平负二项模型,调查暴露于长时间工作后,接下来 3 个月病假率的影响。协变量包括之前的病假、轮班次数、夜班和晚班、个性和人口统计学特征。

结果

长时间工作暴露与接下来 3 个月的病假天数减少相关[调整模型,发病率比(IRR)=0.946,95%置信区间 0.919-0.973,p<0.001]。长时间工作与工作天数的交互作用表明,与工作天数低时相比,工作天数高时,接下来 3 个月的病假天数更高[调整模型,IRR 为 1.002,95%置信区间为 1.000-1.004,p<0.05]。

讨论

长时间工作与病假天数减少有关。长时间工作额外休假的恢复效应被认为是这种关系的可能解释。

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