ArticleGlobal journal of epidemiology and infectious disease2024
Educated but Unhealthy? Examining Minorities' Diminished Returns.
Article in Global journal of epidemiology and infectious disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Unequal embodiment: racial and ethnic heterogeneity in the predictors and age-related health outcomes associated with accelerated biological aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Background: Educational attainment is known to improve self-rated health; however, research suggests that these benefits may be less pronounced for racial and ethnic minority groups. The Minorities' Diminished Returns (MDRs) theory posits that the protective effects of resources such as education are weaker for marginalized populations, such as Black and Latino individuals, compared to their White counterparts. Objective: This study aims to investigate racial and ethnic disparities in the association between years of schooling and self-rated health among U.S. adults, with a focus on understanding the reduced health benefits of education for Black and Latino individuals. Methods: Using data from the Understanding America Study (UAS; 2014), we conducted a cross-sectional analysis of adults aged 18 and older (N = 6,785). Self-rated health was the outcome, and years of schooling was the primary independent variable. We controlled for sociodemographic factors including age, gender, employment status, immigration status, and marital status. Stratified analyses were conducted by race/ethnicity (Non-Latino White, Non-Latino Black, and Latino). Linear regression models were used to examine the association between years of schooling and self-rated health, and interaction terms were included to assess variation in this relationship across racial/ethnic groups. Results: While years of schooling was positively associated with better self-rated health overall, the magnitude of this effect was weaker for Black and Latino individuals compared to White individuals. After adjusting for sociodemographic factors, Black and Latino adults reported worse self-rated health for each additional year of schooling, compared to their White counterparts, supporting the MDRs hypothesis. Conclusion: The findings suggest that while higher educational attainment is protective against worse self-rated health, this protection is not equally distributed across racial and ethnic groups. Black and Latino individuals experience diminished returns from their years of schooling in terms of self-rated health, likely due to structural barriers and social inequalities. Policies addressing health disparities must consider these diminished returns and aim to reduce structural racism and discrimination that undermine the benefits of education for minoritized populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.