ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2024
Socioeconomic Inequalities in Frailty Distribution: A Cross-National Comparison of the United States and England.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interplay between frailty and cardiometabolic disorders: from pathophysiology to clinical implications.Cardiovascular diabetology · 2025Pooled it
- Frailty among older adults in Germany: regional variation across NAKO study centers.International journal for equity in health · 2026Article
- Epigenetic aging markers in the association between frailty and mortality among U.S. adults.BMC medicine · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
objectivesThe 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.
methodsWe 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.
resultsWe 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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