Evidence map›Paper›PMID 41716546›Full record

ArticleInnovation in aging2026

Middle-age healthcare spending and utilization at the intersection of comorbidities, functional limitation, and race/ethnicity.

Mohammad Usama Toseef, Shanmin Sultana, Preethy Samuel, Wassim Tarraf

Abstract read
In one paragraph

Article in Innovation in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohammad Usama ToseefCorewell Health Research Institute, Royal Oak, Michigan, United States.
Shanmin SultanaDepartment of Healthcare Sciences, Wayne State University, Detroit, Michigan, United States.
Preethy SamuelDepartment of Healthcare Sciences, Wayne State University, Detroit, Michigan, United States.
Wassim TarrafDepartment of Healthcare Sciences, Wayne State University, Detroit, Michigan, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Middle age is a pivotal developmental life stage marked by health transitions, including the onset of major chronic diseases and functional limitations. Social determinants of health, particularly race/ethnicity, can play a significant role in accentuating the effects of comorbidity and functional limitations. This study examines how comorbidity, functional limitations, and race/ethnicity influence patterns of health services use and spending among middle-aged adults. Research Design and Methods: We used pooled yearly cross-sectional data (Medical Expenditure Panel Survey, 2008-2022; excluding 2020) from middle-aged adults (ages 50-64). We derived comorbidity phenotypes using latent class analyses (LCA) and generalized linear regression to examine their associations with health services outcomes, considering the vulnerabilities introduced by functional limitations and race/ethnicity. Results: LCA supported a 3-class solution: low prevalence of chronic conditions (63.4%), hypertensive/arthritis/joint pain (29.3%), and complex cardiovascular (C-CVD, 7.3%). Individuals with C-CVD had elevated levels of healthcare spending and use, including problematically high levels of emergency department and inpatient hospitalizations, despite higher use of office-based visits (OBVs). We found that Non-Hispanic Black adults (NHBs) and Hispanic adults had lower health spending compared to Non-Hispanic White adults (NHWs) and were less likely to use OBVs. NHBs had a higher propensity for ED use, whereas Hispanic adults were less likely to be hospitalized. Physical and instrumental/activities of daily living (I/ADL) limitations increased OBVs for both NHBs and NHWs, while I/ADLs increased hospitalizations among Hispanic adults. Discussion and Implications: These findings underscore the importance of targeted healthcare for high-risk patient populations for mitigating excess health burdens.

Indexed as

DisparitiesHealthcare expendituresHealthcare service use

Identifiers

PMID41716546
PMCPMC12915413

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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.