Associations Between Sociodemographic Variables, Social Determinants of Health, and Diabetes: Findings From a Congregational Health Needs Assessment
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
PURPOSE: To examine associations between sociodemographic variables, social determinants of health (SDOHs) and diabetes using health needs assessment data. DESIGN: Cross-sectional study. SETTING: Faith-based communities in the Mid-South U.S. SAMPLE: = 828 church leaders and members completed the survey. MEASURE: The Mid-South Congregational Health Survey assessed perceived health-related needs of congregations and the communities they serve. ANALYSIS: Generalized linear mixed modeling examined the associations between sociodemographic variables (age, sex, race/ethnicity, educational level), SDOHs (affordable healthcare, healthy food, employment), and diabetes. RESULTS: = .59-.63). Men had lower odds of reporting diabetes as a health need or concern compared to women (OR = .70; 95% CI = .50, .97). African Americans had greater odds of reporting diabetes as a health need compared to individuals in the 'Other' race/ethnicity category (OR = 3.91; 95% CI = 2.20, 6.94). Individuals who reported affordable healthcare (OR = 2.54; 95% CI = 1.73, 3.72), healthy food (OR = 2.24; 95% CI = 1.55, 3.24), and employment (OR = 3.33; 95% CI = 2.29, 4.84) as health needs had greater odds of reporting diabetes as a health need compared to those who did not report these SDOHs as needs. CONCLUSIONS: Future studies should evaluate strategies to merge healthcare and faith-based organizations' efforts to address SDOHs impacting diabetes.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Associations Between Sociodemographic Variables, Social Determinants of Health, and Diabetes: Findings From a Congregational Health Needs Assessment
- Date Crossref
- 23/02/2024
- Éditeur
- SAGE Publications
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
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