ArticleInternational journal of environmental research and public health2024
Clustering of Social Determinants of Health as an Indicator of Meaningful Subgroups within an African American Population: Application of Latent Class Analysis.
Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Vidas en Contexto: Unpacking Social Determinants of Health and Related Health Outcomes among Puerto Ricans through a Person-Centered Approach.Journal of racial and ethnic health disparities · 2026Article
- From exposure to embedding: how interconnected social determinants drive health inequalities-a complex adaptive system dynamics approach.Frontiers in public health · 2026Article
- Psychosocial and behavioral risk patterns and risk of cardiovascular complications in people with type 2 diabetes.Diabetes research and clinical practice · 2025Article
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Authors and funding
7 authors.
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Abstract
backgroundHealth disparities between people who are African American (AA) versus their White counterparts have been well established, but disparities among AA people have not. The current study introduces a systematic method to determine subgroups within a sample of AA people based on their social determinants of health.
methodsHealth screening data collected in the West Side of Chicago, an underserved predominantly AA area, in 2018 were used. Exploratory latent class analysis was used to determine subgroups of participants based on their responses to 16 variables, each pertaining to a specific social determinant of health.
resultsFour unique clusters of participants were found, corresponding to those with "many unmet needs", "basic unmet needs", "unmet healthcare needs", and "few unmet needs".
conclusionThe findings support the utility of analytically determining meaningful subgroups among a sample of AA people and their social determinants of health. Understanding the differences within an underserved population may contribute to future interventions to eliminate health disparities.
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