Heterogeneity in familial clustering of metabolic syndrome components in the multiethnic GENNID study
Authors' conclusion
Understanding heterogeneity in MetS clustering may identify factors important in reducing health disparities.
Study context
- Population
- Individuals in extended families self-reporting as European, Hispanic/Mexican, African or Japanese American (GENNID study)340 families
- Participants
- 1,651 individuals
- Exposure
- Each ancestry group vs European American (EA)
- Outcome
- Prevalence of combinations of MetS components (high fasting glucose, low HDL-C, high TG, high blood pressure, abdominal obesity)
Methodological detailsfamily-based, multiethnic, logistic regression with generalized estimating equations
- Family-based
- Multiethnic
- Logistic regression with generalized estimating equations
Main finding
As reported in the abstract
Clustering of all five components (Combination #16)
Observational data: associations, not effects.
Further findings
Individual metabolic syndrome (MetS) components vs EA
- African American (AA) less likely to have high TG vs EA
- 64%
- AA less likely to have low HDL-C vs EA
- 66%
- Japanese American (JA) less likely to have abdominal obesity vs EA
- 85%
- JA less likely to have high blood pressure vs EA
- 56%
Number of MetS components vs EA
- Odds of having two, four or five components lower in JA vs EA
- at least 77%
- Odds of having three, four or five components greater in MA vs EA
- at least 3.79 times
Original publication
Heterogeneity in familial clustering of metabolic syndrome components in the multiethnic GENNID study. Obesity (Silver Spring). Published 12 October 2023. doi:10.
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