ArticleJournal of multimorbidity and comorbidity
Variation in multimorbidity by sociodemographics and social drivers of health among patients seen at community-based health centers.
Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Extreme Heat Exposure and Blood Pressure in Community Health Center Patients.JAMA network open · 2026Article
- Assessing racial disparities in dementia-related vulnerabilities: a machine learning analysis of social, environmental, and climate factors.Ethnicity & health · 2026Article
- Challenges and improvement strategies in the hospitalization of chronic multimorbid patients.World journal of clinical cases · 2025Review
- Sociodemographic inequalities in multimorbidity and lifestyle risk factors among young adults: a national population-based study.Frontiers in public health · 2025Article
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12 authors.
Funding
Abstract
Purpose: Understanding variation in multimorbidity across sociodemographics and social drivers of health is critical to reducing health inequities. Methods: From the multi-state OCHIN network of community-based health centers (CBHCs), we identified a cross-sectional cohort of adult (> 25 years old) patients who had a visit between 2019-2021. We used generalized linear models to examine the relationship between the Multimorbidity Weighted Index (MWI) and sociodemographics and social drivers of health (Area Deprivation Index [ADI] and social risks [e.g., food insecurity]). Each model included an interaction term between the primary predictor and age to examine if certain groups had a higher MWI at younger ages. Results: Among 642,730 patients, 28.2% were Hispanic/Latino, 42.8% were male, and the median age was 48. The median MWI was 2.05 (IQR: 0.34, 4.87) and was higher for adults over the age of 40 and American Indians and Alaska Natives. The regression model revealed a higher MWI at younger ages for patients living in areas of higher deprivation. Additionally, patients with social risks had a higher MWI (3.16; IQR: 1.33, 6.65) than those without (2.13; IQR: 0.34, 4.89) and the interaction between age and social risk suggested a higher MWI at younger ages. Conclusions: Greater multimorbidity at younger ages and among those with social risks and living in areas of deprivation shows possible mechanisms for the premature aging and disability often seen in community-based health centers and highlights the need for comprehensive approaches to improving the health of vulnerable populations.
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