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Ethnic and Gender Differences in 10-Year Coronary Heart Disease Risk: a Cross-Sectional Study in Hawai'i
Claire Townsend Ing1, Hyeong Jun Ahn2, Rachel Kawakami3
1Department of Native Hawaiian Health, University of Hawai'i, Honolulu, HI, USA. clairemt@hawaii.edu.
Insights
Cardiovascular disease (CVD) risk varies among ethnic groups in Hawai'i. After adjustments, Filipino women showed higher CVD risk, indicating a need to recalibrate risk assessments for diverse populations.
Area of Science:
- Epidemiology
- Cardiovascular Health
- Health Disparities
Background:
- Cardiovascular disease (CVD) is a leading cause of mortality in the US.
- Filipinos and Native Hawaiians in Hawai'i exhibit high rates of CVD risk factors.
- Ethnic variations in CVD risk have not been thoroughly investigated in this population.
Purpose of the Study:
- To examine 10-year CVD risk using the Framingham Risk Score (FRS) across different ethnic groups in Hawai'i.
- To control for clinical, demographic, and psychosocial factors in the analysis of CVD risk.
- To identify ethnic disparities in CVD risk within the Hawai'i population.
Main Methods:
- Secondary data analysis of the Kohala Health Research Project dataset.
- Inclusion of 1462 non-pregnant adults (≥18 years) with complete clinical examination and survey data.
- Statistical analysis including chi-squared tests, ANOVA, and multiple linear regression on FRS, with calculation of least square means.
Main Results:
- Analysis of 1146 participants: 44.4% Native Hawaiian, 15.4% Filipino, 15.3% Japanese, 25% non-Hispanic White; 55.4% female, mean age 48.8 years.
- Unadjusted analysis showed higher FRS in Japanese males and in Filipino and Japanese females compared to other groups.
- Fully adjusted model revealed no ethnic differences in FRS for males, but Filipino females had significantly higher FRS than non-Hispanic White females.
Conclusions:
- Ethnic differences in CVD risk persist even after adjusting for age, depression, social support, and acculturation.
- Findings suggest potential need for recalibration of CVD risk assessment tools across diverse ethnic groups.
- Community-based epidemiological studies are crucial for understanding and addressing health disparities.
Background:
Cardiovascular disease (CVD) is the leading cause of death in the US. In Hawai'i, Filipinos and Native Hawaiians have the highest rates of CVD-related risk factors. CVD risk across these ethnic groups has not been examined. This cross-sectional study examines 10-year CVD risk as determined by the Framingham Risk Score (FRS) across ethnic groups in Hawai'i, controlling for clinical, demographic, and psychosocial factors.
Methods:
This study includes secondary data analysis of the Kohala Health Research Project dataset. All non-pregnant adults (≥ 18 years of age) who resided in the community of interest during the study period were eligible to participate with 1462 participants completing the clinical examination and surveys. This analysis included clinical, demographic, and psychosocial variables. Ethnic differences were examined using the chi-squared test and one-way ANOVA. Multiple linear regression on FRS was conducted and least square means of FRS were calculated.
Results:
Data from 1146 individuals were analyzed. Participants were 44.4% Native Hawaiian, 15.4% Filipino, 15.3% Japanese, and 25% non-Hispanic White; 55.4% were female and had a mean age of 48.8 years. For males, the unadjusted Japanese mean FRS was significantly higher compared with the other ethnic groups. For females, Filipino and Japanese mean FRS were significantly higher compared with Native Hawaiians and non-Hispanic Whites. In the fully adjusted model, there were no ethnic group differences in FRS among males and Filipinos had significantly higher FRS compared with non-Hispanic White among females.
Conclusions:
This cross-sectional community-based epidemiological study examined ethnic differences in CVD risk after adjusting for age, depression, social support, and acculturation. The results suggest that some ethnic differences in CVD risk persist even after controlling for confounders but that recalibration of risk assessment is necessary.
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