TY - JOUR
T1 - Heterogeneity in familial clustering of metabolic syndrome components in the multiethnic GENNID study
AU - Wan, Jia Y.
AU - Goodman, Deborah
AU - Makhnoon, Sukh
AU - Norden-Krichmar, Trina M.
AU - Wu, Baolin
AU - Edwards, Karen L.
N1 - Publisher Copyright:
© 2023 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.
PY - 2024/1
Y1 - 2024/1
N2 - Objective: Metabolic syndrome (MetS) is defined by clustering of cardiometabolic components, which may be present in different combinations. The authors evaluated clustering in individuals and extended families within and across ancestry groups. Methods: The prevalence of different combinations of MetS components (high fasting glucose, low high-density lipoprotein cholesterol, high triglycerides, high blood pressure, and abdominal obesity) was estimated in 1651 individuals (340 families) self-reporting as European American (EA), Hispanic/Mexican American (MA), African American (AA), and Japanese American (JA). Odds ratios were estimated using logistic regression with generalized estimating equations comparing individual MetS components, number, and combinations of components for each ancestry group versus EA. Results: Clustering of all five components (Combination #16) was more prevalent in EA (29.9%) and MA (25.2%) individuals than in AA (18.7%) and JA (15.5%) individuals. Compared with EA individuals, AA individuals were 64% and 66% less likely to have high triglycerides and low high-density lipoprotein cholesterol, whereas JA individuals were 85% and 56% less likely to have abdominal obesity and high blood pressure, respectively. Compared with EA individuals, the odds of having two, four, or five components were at least 77% lower in JA individuals, whereas the odds of having three, four, or five components were at least 3.79 times greater in MA individuals. Conclusions: Understanding heterogeneity in MetS clustering may identify factors important in reducing health disparities.
AB - Objective: Metabolic syndrome (MetS) is defined by clustering of cardiometabolic components, which may be present in different combinations. The authors evaluated clustering in individuals and extended families within and across ancestry groups. Methods: The prevalence of different combinations of MetS components (high fasting glucose, low high-density lipoprotein cholesterol, high triglycerides, high blood pressure, and abdominal obesity) was estimated in 1651 individuals (340 families) self-reporting as European American (EA), Hispanic/Mexican American (MA), African American (AA), and Japanese American (JA). Odds ratios were estimated using logistic regression with generalized estimating equations comparing individual MetS components, number, and combinations of components for each ancestry group versus EA. Results: Clustering of all five components (Combination #16) was more prevalent in EA (29.9%) and MA (25.2%) individuals than in AA (18.7%) and JA (15.5%) individuals. Compared with EA individuals, AA individuals were 64% and 66% less likely to have high triglycerides and low high-density lipoprotein cholesterol, whereas JA individuals were 85% and 56% less likely to have abdominal obesity and high blood pressure, respectively. Compared with EA individuals, the odds of having two, four, or five components were at least 77% lower in JA individuals, whereas the odds of having three, four, or five components were at least 3.79 times greater in MA individuals. Conclusions: Understanding heterogeneity in MetS clustering may identify factors important in reducing health disparities.
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U2 - 10.1002/oby.23914
DO - 10.1002/oby.23914
M3 - Article
C2 - 37823211
AN - SCOPUS:85173871180
SN - 1930-7381
VL - 32
SP - 176
EP - 186
JO - Obesity
JF - Obesity
IS - 1
ER -