Predictors of early retirement in British civil servants
Predictors of early retirement in British civil servants
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DOI：
10.1093/ageing/29.6.529
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发表时间：
2000-11-01
期刊：
影响因子：
6.7
通讯作者：
Marmot, MG
中科院分区：
文献类型：
--
作者：
Mein, G;Martikainen, P;Marmot, MG
背景：尚不确定最近劳动力动态的变化如何影响工业化国家中越来越多的人提前退休。 Whitehall II 研究提供了一个机会来检验英国最大雇主之一提前退休的预测因素。 方法：我们使用 2532 名年龄在 50 至 59.5 岁之间的伦敦男性和女性公务员的纵向数据，在 1988 年至 1995 年的 7 年跟踪期内检验了预测提前退休的因素。有关就业等级和公务员工作时间的基线数据是通过自行填写的问卷获得的。检查的主要因素包括健康、工作特点、工作要求和工作满意度问题以及财务不安全感、财富和物质问题。使用Cox比例风险模型对提前退休的时间进行分析。结果：在2532名公务员中，26.7%的人在随访期间提前退休。我们发现，收入较高的就业级别的男性和女性、健康状况不佳的人和对工作不太满意的人更有可能提前退休，而物质问题往往会让人们继续工作。结论：我们的结果表明，自我感知的健康、就业级别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加深我们对退休过程的理解。
Background: it is uncertain how recent changes in labour force dynamics may have influenced the increasing numbers of people taking early retirement in industralized 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.