Are pension types associated with happiness in Japanese older people?: JAGES cross-sectional study

日本老年人的养老金类型与幸福感相关吗?:JAGES横断面研究

阅读:1

Abstract

BACKGROUND: Although many previous studies have examined the determinants of happiness in older adults, few have investigated the association between pension types and happiness. When compared to other conventional socioeconomic indicators, pension types may be more indicative of long-term socioeconomic status as they can reflect a person's job history over their life course. This study examined the association between pension types and happiness in Japanese older people. METHODS: Cross-sectional survey data from the Japan Gerontological Evaluation Study were used to analyze the association between pension types and happiness. The study population comprised 120152 participants from 2013. We calculated the prevalence ratios of happiness for the different pension types using Poisson regression models that controlled for age, sex, marital status, equivalent income, wealth, education level, working status, occupation, depression, and social support. RESULTS: After controlling for socioeconomic indicators, the prevalence ratios (95% confidence intervals) of happiness for no pension benefits, low pension benefits, and moderate pension benefits relative to high pension benefits were 0.77 (0.73-0.81), 0.95 (0.94-0.97), and 0.98 (0.97-0.99), respectively. However, the inclusion of depression as a covariate weakened the association between pension types and happiness. CONCLUSIONS: While pension types were associated with happiness after adjusting for other proxy measures of socioeconomic status, the association diminished following adjustment for depression. Pension types may provide rich information on socioeconomic status and depression throughout the course of life. In addition to conventional socioeconomic indicators, pension types should also be considered when assessing the determinants of happiness in older adults.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。