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Social Determinants of Health Phenotypes and Cardiometabolic Condition Prevalence Among Patients in a Large Academic Health System: Latent Class Analysis.
Howell, Carrie R; Zhang, Li; Clay, Olivio J; Dutton, Gareth; Horton, Trudi; Mugavero, Michael J; Cherrington, Andrea L.
Afiliación
  • Howell CR; Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
  • Zhang L; School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.
  • Clay OJ; Alzheimer's Disease Research Center, University of Alabama at Birmingham, Birmingham, AL, United States.
  • Dutton G; Deep South Resource Center for Minority Aging Research, University of Alabama at Birmingham, Birmingham, AL, United States.
  • Horton T; Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States.
  • Mugavero MJ; Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
  • Cherrington AL; Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
JMIR Public Health Surveill ; 10: e53371, 2024 Aug 07.
Article en En | MEDLINE | ID: mdl-39113389
ABSTRACT

Background:

Adverse social determinants of health (SDoH) have been associated with cardiometabolic disease; however, disparities in cardiometabolic outcomes are rarely the result of a single risk factor.

Objective:

This study aimed to identify and characterize SDoH phenotypes based on patient-reported and neighborhood-level data from the institutional electronic medical record and evaluate the prevalence of diabetes, obesity, and other cardiometabolic diseases by phenotype status.

Methods:

Patient-reported SDoH were collected (January to December 2020) and neighborhood-level social vulnerability, neighborhood socioeconomic status, and rurality were linked via census tract to geocoded patient addresses. Diabetes status was coded in the electronic medical record using International Classification of Diseases codes; obesity was defined using measured BMI ≥30 kg/m2. Latent class analysis was used to identify clusters of SDoH (eg, phenotypes); we then examined differences in the prevalence of cardiometabolic conditions based on phenotype status using prevalence ratios (PRs).

Results:

Complete data were available for analysis for 2380 patients (mean age 53, SD 16 years; n=1405, 59% female; n=1198, 50% non-White). Roughly 8% (n=179) reported housing insecurity, 30% (n=710) reported resource needs (food, health care, or utilities), and 49% (n=1158) lived in a high-vulnerability census tract. We identified 3 patient SDoH phenotypes (1) high social risk, defined largely by self-reported SDoH (n=217, 9%); (2) adverse neighborhood SDoH (n=1353, 56%), defined largely by adverse neighborhood-level measures; and (3) low social risk (n=810, 34%), defined as low individual- and neighborhood-level risks. Patients with an adverse neighborhood SDoH phenotype had higher prevalence of diagnosed type 2 diabetes (PR 1.19, 95% CI 1.06-1.33), hypertension (PR 1.14, 95% CI 1.02-1.27), peripheral vascular disease (PR 1.46, 95% CI 1.09-1.97), and heart failure (PR 1.46, 95% CI 1.20-1.79).

Conclusions:

Patients with the adverse neighborhood SDoH phenotype had higher prevalence of poor cardiometabolic conditions compared to phenotypes determined by individual-level characteristics, suggesting that neighborhood environment plays a role, even if individual measures of socioeconomic status are not suboptimal.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Enfermedades Cardiovasculares / Determinantes Sociales de la Salud / Análisis de Clases Latentes Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JMIR Public Health Surveill Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Enfermedades Cardiovasculares / Determinantes Sociales de la Salud / Análisis de Clases Latentes Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JMIR Public Health Surveill Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá