TY - JOUR
T1 - Explaining the Variance in Cardiovascular Health Indicators among Asian Americans
T2 - A Comparison of Demographic, Socioeconomic, and Ethnicity
AU - Sevillano, Lalaine
AU - Bacong, Adrian Matias
AU - Maglalang, Dale Dagar
N1 - Publisher Copyright:
© W. Montague Cobb-NMA Health Institute 2025.
PY - 2025
Y1 - 2025
N2 - The Asian American (AA) population is the fastest-growing major racial group in the U.S. Typically treated as a monolith in research, disaggregated data show disproportionate cardiovascular disease (CVD) burden among certain AA ethnic groups. This analysis aimed to identify which factors explain variance in cardiovascular health among AA ethnic groups. We analyzed pooled 2010–2018 National Health Interview Survey data from Chinese, Asian Indian, Filipino, and Other Asian adults in the U.S. CVD outcomes of interest were coronary heart disease, heart attack, and stroke. Covariates included sociodemographic characteristics, CVD-related health conditions, and behaviors. Variance explained by sociodemographic, health behaviors, and health conditions were calculated based on the adjusted R-squared from a series of five models for each CVD health outcome. Of the 10,353 AA adults in the sample, 53% identified as female. Compared to the aggregate AA sample and the other ethnic groups, Filipinos had a higher burden of any CVD outcome (5.9%), particularly for coronary heart disease (4.0%). The combination of all predictors explained at most 13% of variance, with sociodemographic characteristics accounting for at least half of the variance explained among all participants. Health behaviors explained a greater amount of additional variance for all CVD outcomes among Asian Indians, including an additional 3.1% for stroke. Inversely, existing health conditions were significant predictors of CVD for all AA ethnic groups compared to Asian Indians. There is heterogeneity in CVD outcomes and related risk factors in AA ethnic groups, emphasizing the need for culturally tailored prevention and intervention strategies.
AB - The Asian American (AA) population is the fastest-growing major racial group in the U.S. Typically treated as a monolith in research, disaggregated data show disproportionate cardiovascular disease (CVD) burden among certain AA ethnic groups. This analysis aimed to identify which factors explain variance in cardiovascular health among AA ethnic groups. We analyzed pooled 2010–2018 National Health Interview Survey data from Chinese, Asian Indian, Filipino, and Other Asian adults in the U.S. CVD outcomes of interest were coronary heart disease, heart attack, and stroke. Covariates included sociodemographic characteristics, CVD-related health conditions, and behaviors. Variance explained by sociodemographic, health behaviors, and health conditions were calculated based on the adjusted R-squared from a series of five models for each CVD health outcome. Of the 10,353 AA adults in the sample, 53% identified as female. Compared to the aggregate AA sample and the other ethnic groups, Filipinos had a higher burden of any CVD outcome (5.9%), particularly for coronary heart disease (4.0%). The combination of all predictors explained at most 13% of variance, with sociodemographic characteristics accounting for at least half of the variance explained among all participants. Health behaviors explained a greater amount of additional variance for all CVD outcomes among Asian Indians, including an additional 3.1% for stroke. Inversely, existing health conditions were significant predictors of CVD for all AA ethnic groups compared to Asian Indians. There is heterogeneity in CVD outcomes and related risk factors in AA ethnic groups, emphasizing the need for culturally tailored prevention and intervention strategies.
KW - Asian American
KW - Cardiovascular disease
KW - Data disaggregation
KW - Variance explained
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U2 - 10.1007/s40615-025-02341-9
DO - 10.1007/s40615-025-02341-9
M3 - Article
AN - SCOPUS:86000235836
SN - 2197-3792
JO - Journal of Racial and Ethnic Health Disparities
JF - Journal of Racial and Ethnic Health Disparities
ER -