ArticleThe Gerontologist2025
Reviewing and Advocating for Data Disaggregation in Aging-Related Health Research: NIA Grants and Recommendations for Equity.
Article in The Gerontologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Contextualizing Age-Friendly Care Within Social Drivers of Health.Journal of the American Geriatrics Society · 2026Article
- Overall and Avoidable Healthcare Utilization among Heterogeneous Hispanic/Latino Ethnic Groups with Cognitive Impairment in the Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA).Journal of racial and ethnic health disparities · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Federal minimum standards for collecting and reporting race and ethnicity data implicitly categorize diverse individuals into broad, monolithic categories. Despite advancements in policy and practice and calls for inclusive research, data equity remains a significant issue in aging-related health research. Racially and ethnically diverse older adults are underrepresented in health research and rarely disaggregated by ethnicity in data collection, analysis, and reporting of aging-related health outcomes. Data disaggregation offers a promising approach to advancing data equity in aging research. We searched the National Institute on Health RePORT Expenditures and Results (NIH RePORTER) database to identify extramural National Institute on Aging (NIA) grants from 1985 to 2024 that proposed disaggregating race and ethnicity data for aging-related research. We found only 12 NIA-funded awards, visually demonstrating how understudied data disaggregation is within the field of aging. Most disaggregation-focused grants were awarded from 2015 onward (92%), with 42% being R01 grants. Enhancing methodological rigor in demographic data collection and reporting reflective of the diversifying aging population is crucial for data equity. We conclude with recommendations to advance aging health research and highlight considerations and ethical issues for data disaggregation for historically surveilled racial and ethnic minoritized communities.
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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.