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Subjective socioeconomic status and self-rated health in the English Longitudinal Study of Aging: A fixed-effects analysis

混淆 自评健康 社会经济地位 固定效应模型 纵向研究 联想(心理学) 随机效应模型 社会阶层 心理学 人口学 面板数据 医学 老年学 计量经济学 统计 人口 经济 数学 社会学 内科学 荟萃分析 心理治疗师 市场经济
作者
Camille Coustaury,Elias Jeannot,Adele Moreau,Clotilde Nietge,Asri Maharani,Lindsay Richards,Patrick Präg
出处
期刊:Social Science & Medicine [Elsevier]
卷期号:336: 116235-116235 被引量:3
标识
DOI:10.1016/j.socscimed.2023.116235
摘要

Higher subjective socio-economic status (SES) goes along with better self-rated health: This finding is well-established in the literature, yet the majority of studies it is based on only rely on cross-sectional analyses and only account for few potential confounders of the association. Particularly wealth, which is increasingly thought of as an important dimension of accumulated advantage, is only rarely examined as a confounder. Using eight waves of panel data from the English Longitudinal Study of Aging (ELSA, 2002-19), we investigate the association between subjective SES and self-rated health. We use random effects models that account for theoretically important time-constant (such as education and social class) and time-varying confounders (such as income and wealth) as well as fixed-effects models, that in addition control for all time-constant confounders, whether observed or unobserved. The fully adjusted fixed-effects model reveals a statistically significant association between subjective SES and self-rated health. Yet, a one-point increase on the subjective SES ladder goes along with a two per cent of a standard deviation increase in self-rated health, only around a quarter of the size of the random-effects estimate. The role of wealth for the subjective SES-self-rated health association is negligible in the fixed-effects specifications. Smoking, drinking, and physical activity do not appear to mediate the association. A substantial part, though not all, of the observed association between subjective SES and self-rated health is due to unobserved confounding rather than a causal effect. Reducing health inequalities based on objective SES is likely more effective than based on subjective SES.
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