社会经济地位
民族
不平等
学历
多项式logistic回归
家庭收入
地理
健康与退休研究
人口学
老年学
心理学
社会学
数学
医学
经济
人口
数学分析
考古
机器学习
人类学
计算机科学
经济增长
作者
Rachel Wilkie,Jennifer Ailshire
标识
DOI:10.1093/geronb/gbae157
摘要
Abstract Objectives The objective of this study is to examine differences in socioeconomic gradients (i.e., education, income, and wealth) in frailty by gender in the United States and England. Methods We used harmonized data from the Health and Retirement Study and the English Longitudinal Study of Ageing in 2016. Frailty status was determined from measured and self-reported signs and symptoms in 5 domains: unintentional weight loss, exhaustion, low physical activity, slow walking speed, and weakness. Respondents were classified as robust (no signs or symptoms of frailty), prefrail (signs or symptoms in 1–2 domains), or frail (signs or symptoms in 3 or more domains). Gender-stratified multinomial logistic regression models were used to assess the relationship between educational attainment, household income, and household wealth with the risk of frailty and prefrailty, with and without covariates. We also calculated the slope index of inequalities on the predicted probabilities of frailty by income and wealth quintiles. Results We found socioeconomic gradients in prefrailty and frailty by education, income, and wealth. Furthermore, the educational gradient in frailty was significantly steeper for U.S. women compared to English women, and the income gradient was steeper for U.S. men and women compared to English men and women. The between-country differences were not accounted for by adjusting for race/ethnicity and behavioral factors. Discussion Socioeconomic gradients in prefrailty and frailty differ by country setting and gender, suggesting contextual factors such as cultural norms, healthcare access and quality, and economic policy may contribute to the effect of different measures of socioeconomic status on prefrailty and frailty risk.
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