Social determinants of health and metabolic syndrome in Colombian older adults.

Autor: Reyes-Ortiz CA; Institute of Public Health, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, USA. Electronic address: carlos.reyesortiz@famu.edu., Marín-Vargas E; Specialty Program in Geriatrics, Department of Family Medicine, School of Health, Gerontology and Geriatrics Research Group, Universidad del Valle, Cali, Colombia. Electronic address: marin.eliana@correounivalle.edu.co., Ocampo-Chaparro JM; Specialty Program in Geriatrics, Department of Family Medicine, School of Health, Gerontology and Geriatrics Research Group, Universidad del Valle, Cali, Colombia. Electronic address: jose.m.ocampo@correounivalle.edu.co.
Jazyk: angličtina
Zdroj: Nutrition, metabolism, and cardiovascular diseases : NMCD [Nutr Metab Cardiovasc Dis] 2024 Jul; Vol. 34 (7), pp. 1751-1760. Date of Electronic Publication: 2024 Jan 26.
DOI: 10.1016/j.numecd.2024.01.022
Abstrakt: Background and Aims: Social determinants of health (SDH) are critical in health outcomes. More insight is needed on the correlation between SDH and metabolic syndrome (MetS) in the aging population. This study assessed the association between SDH and MetS scores among older adults in Colombia.
Methods and Results: This cross-sectional country-wide study includes a sample of 4085 adults aged ≥60 from the SABE Colombia Survey. MetS measurements were central obesity, hyperglycemia or diabetes, hypertriglyceridemia, arterial hypertension, and low HDL cholesterol (MetS score 0-5). SDH includes four levels: 1- general socioeconomic and environmental conditions; 2-social and community networks; 3- individual lifestyle; and 4-constitutional factors. In multivariate linear regression analysis, the SDH factors with greater effect sizes, calculated by Eta Squared, predicting higher MetS mean scores were women followed by low education, no alcohol intake, urban origin, and residing in unsafe neighborhoods. Two interactions: men, but not women, have lower MetS in safe neighborhoods compared to unsafe, and men, but not women, have lower MetS when having low education (0-5 years) compared to high (≥6).
Conclusion: Gender, education, alcohol intake, and origin have the greatest effect sizes on MetS. Education level and neighborhood safety modified the relationship between gender and MetS. Low-educated men or those residing in safe neighborhoods have lower MetS. Neighborhood environments and educational differences influencing MetS should be considered in future studies.
Competing Interests: Declaration of competing interest The authors declare no conflict of interest.
(Copyright © 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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