A Structural Model of Social Determinants of the Metabolic Syndrome
| Autor: | Pamela D. Waterman, Jarvis T. Chen, Gary G. Bennett, Nancy Krieger, Kevin Smith, Anna Kosheleva, Dana R. Carney, Elmer Freeman, Matthew Urato, David R. Williams |
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| Rok vydání: | 2020 |
| Předmět: |
Male
Social Determinants of Health Epidemiology Black People Disease Original Report: Cardiovascular Disease and Risk Factors Disease cluster White People Structural equation modeling Diabetes mellitus Diabetes Mellitus Prevalence Humans Medicine Social determinants of health Male gender Metabolic Syndrome business.industry Cardiometabolic Risk Factors General Medicine Middle Aged medicine.disease United States Models Structural Increased risk Cardiovascular Diseases Female Metabolic syndrome business Demography |
| Zdroj: | Ethn Dis |
| ISSN: | 1945-0826 1049-510X |
| DOI: | 10.18865/ed.30.2.331 |
| Popis: | Objectives: The metabolic syndrome (MetS) refers to a cluster of interrelated physiological characteristics that are associated with an increased risk of cardiovascular disease and diabetes. While the clinical usefulness of the MetS has been the subject of controversy for years, increasingly sophisticated methods are being used to measure the concept. Participants: Study of community health center patients who were not diabetic; study group was evenly divided between Black and White adults. Methods: Structural equation modeling of MetS incorporating the effects of race/ethnicity, racial discrimination, socioeconomic position (SEP), and selected mediating variables. Main Outcome Measure: Latent MetS score and MetS status based on the five-point scale developed by the National Cholesterol Education Panel (NCEP). Results: The largest influences on latent MetS scores were SEP (negative relationship) and male gender (higher scores for men). Two mediating variables, physical activity and stress-related eating, had smaller impacts. Self-reported racial discrimination was associated with cynical hostility but did not influence the MetS level among nondiabetics. Despite higher NCEP scores and MetS prevalence rates for Blacks compared with Whites, race did not have direct effect on MetS levels when adjusted for the other characteristics in our model. Conclusions: Neither race nor self-reported racial discrimination had direct effects on MetS level in our structural model. The large effects of socioeconomic position and male gender were not mediated by the other variables in the model. Ethn Dis. 2020;30(2):331-338; doi:10.18865/ ed.30.2.331 |
| Databáze: | OpenAIRE |
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