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英国公务员提前退休的预测因素。

Predictors of early retirement in British civil servants.

作者信息

Mein G, Martikainen P, Stansfeld S A, Brunner E J, Fuhrer R, Marmot M G

机构信息

Department of Epidemiology and Public Health, University College London, UK.

出版信息

Age Ageing. 2000 Nov;29(6):529-36. doi: 10.1093/ageing/29.6.529.

Abstract

BACKGROUND

it is uncertain how recent changes in labour force dynamics may have influenced the increasing numbers of people taking early retirement in industrialized countries. The Whitehall II study provides an opportunity to examine the predictors of early retirement in one of the largest employers in the United Kingdom.

METHODS

we examined the factors predicting early retirement in a 7-year follow-up period from 1988 to 1995 using longitudinal data on 2532 male and female London-based civil servants aged between 50 and 59.5 years. Baseline data on employment grade and duration of time working for the Civil Service were obtained from self-completed questionnaires. The primary factors examined included health, work characteristics, questions about job demands and job satisfaction and financial insecurity, wealth and material problems. Time until early retirement was analysed using Cox proportional hazards model.

RESULTS

of the 2532 civil servants, 26.7% retired early during the follow-up period. We found that men and women in the higher-paid employment grades, those that had suffered from ill health and those that were less satisfied with their jobs were more likely to retire early, whereas material problems tended to keep people working.

CONCLUSIONS

our results show that self-perceived health, employment grade and job satisfaction are all independent predictors of early retirement. Qualitative analyses may further advance our understanding of the retirement process.

摘要

背景

劳动力动态的近期变化如何影响工业化国家提前退休人数的增加尚不确定。白厅II研究提供了一个机会,可在英国最大的雇主之一中研究提前退休的预测因素。

方法

我们使用1988年至1995年期间对2532名年龄在50至59.5岁之间的伦敦男女公务员的纵向数据,研究了预测提前退休的因素。就业等级和为公务员工作的时长的基线数据来自自我填写的问卷。所研究的主要因素包括健康状况、工作特征、关于工作要求和工作满意度的问题以及经济不安全、财富和物质问题。使用Cox比例风险模型分析提前退休的时间。

结果

在2532名公务员中,26.7%在随访期间提前退休。我们发现,处于高薪就业等级的男性和女性、健康状况不佳的人以及对工作不太满意的人更有可能提前退休,而物质问题往往会使人们继续工作。

结论

我们的结果表明,自我感知的健康状况、就业等级和工作满意度都是提前退休的独立预测因素。定性分析可能会进一步增进我们对退休过程的理解。

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