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Soc Sci Med. 2004 May;58(10):1869-87. doi: 10.1016/S0277-9536(03)00408-8.
2
Can we disentangle life course processes of accumulation, critical period and social mobility? An analysis of disadvantaged socio-economic positions and myocardial infarction in the Stockholm Heart Epidemiology Program.我们能否厘清累积、关键期和社会流动的生命历程过程?斯德哥尔摩心脏流行病学项目中社会经济地位不利与心肌梗死的分析。
Soc Sci Med. 2004 Apr;58(8):1555-62. doi: 10.1016/S0277-9536(03)00344-7.
3
Incidence of shoulder pain in repetitive work.重复性工作中肩部疼痛的发生率。
Occup Environ Med. 2004 Jan;61(1):39-44.
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Occupational mobility and risk factors in working men: selection, causality or both? Results from the GAZEL study.在职男性的职业流动性及风险因素:是选择、因果关系,还是两者皆有?GAZEL研究结果
J Epidemiol Community Health. 2003 Nov;57(11):901-6. doi: 10.1136/jech.57.11.901.
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[Epidemiology and social determinants of health inequalities].[健康不平等的流行病学与社会决定因素]
Rev Epidemiol Sante Publique. 2003 Sep;51(4):381-401.
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Sickness absence as a global measure of health: evidence from mortality in the Whitehall II prospective cohort study.以病假作为健康的综合衡量指标:来自怀特霍尔二世前瞻性队列研究中死亡率的证据。
BMJ. 2003 Aug 16;327(7411):364. doi: 10.1136/bmj.327.7411.364.
7
Do psychosocial work factors and social relations exert independent effects on sickness absence? A six year prospective study of the GAZEL cohort.心理社会工作因素和社会关系对病假有独立影响吗?GAZEL队列的六年前瞻性研究。
J Epidemiol Community Health. 2003 Apr;57(4):285-93. doi: 10.1136/jech.57.4.285.
8
Organisational justice and health of employees: prospective cohort study.组织公正与员工健康:前瞻性队列研究。
Occup Environ Med. 2003 Jan;60(1):27-33; discussion 33-4. doi: 10.1136/oem.60.1.27.
9
Psychosocial factors at work, personality traits and depressive symptoms. Longitudinal results from the GAZEL Study.工作中的社会心理因素、人格特质与抑郁症状。GAZEL研究的纵向结果。
Br J Psychiatry. 2002 Aug;181:111-7.
10
High physical work load and low job satisfaction increase the risk of sickness absence due to low back pain: results of a prospective cohort study.高体力工作负荷和低工作满意度会增加因腰痛而缺勤的风险:一项前瞻性队列研究的结果。
Occup Environ Med. 2002 May;59(5):323-8. doi: 10.1136/oem.59.5.323.

病假中的工作因素与职业阶层差异:GAZEL队列研究的结果

Work factors and occupational class disparities in sickness absence: findings from the GAZEL cohort study.

作者信息

Melchior Maria, Krieger Nancy, Kawachi Ichiro, Berkman Lisa F, Niedhammer Isabelle, Goldberg Marcel

机构信息

National Institute of Health and Medical Research, Saint-Maurice, France.

出版信息

Am J Public Health. 2005 Jul;95(7):1206-12. doi: 10.2105/AJPH.2004.048835. Epub 2005 Jun 2.

DOI:10.2105/AJPH.2004.048835
PMID:15933236
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1449341/
Abstract

OBJECTIVES

To estimate the contribution of stress-related and physical work factors to occupational class disparities in sickness absence from work.

METHODS

Our sample consisted of 8847 men and 2886 women participating in the French GAZEL cohort study. Occupational class and medically certified sickness absence data (1995-2001) were obtained from the participants' employer. Work characteristics (physical and stress-related) were self-reported. We calculated rate ratios with Poisson regression models; fractions of sickness absence attributable to work factors were estimated with the Miettinen formula.

RESULTS

Sickness absence was distributed along an occupational gradient. Work characteristics accounted for 19% (women) and 21% (men) of all absences. Physical work conditions accounted for 42% and 13% of absences for musculoskeletal reasons, and work stress accounted for 48% and 40% of psychiatric absences. Overall, about 20% of the occupational class gradient in sickness absence could have been associated with deleterious work conditions.

CONCLUSION

Work conditions contribute to sickness absence, particularly among manual workers and clerks. Policies that decrease ergonomic constraints and work stress also could reduce the burden of ill health and sickness absence among the lowest strata of working populations.

摘要

目的

评估与压力相关的工作因素和体力工作因素对因病缺勤职业阶层差异的影响。

方法

我们的样本包括参与法国GAZEL队列研究的8847名男性和2886名女性。职业阶层和经医学认证的因病缺勤数据(1995 - 2001年)来自参与者的雇主。工作特征(体力和与压力相关的)通过自我报告获得。我们使用泊松回归模型计算率比;使用米耶蒂宁公式估计因病缺勤可归因于工作因素的比例。

结果

因病缺勤呈现职业梯度分布。工作特征占所有缺勤的19%(女性)和21%(男性)。体力工作条件占肌肉骨骼疾病缺勤的42%和13%,工作压力占精神疾病缺勤的48%和40%。总体而言,因病缺勤职业阶层梯度中约20%可能与有害的工作条件有关。

结论

工作条件导致因病缺勤,尤其是在体力劳动者和职员中。减少人体工程学限制和工作压力的政策也可以减轻劳动人口最低阶层的健康不良负担和因病缺勤情况。