Online Program

Ethnic differences in cardiovascular disease risks

Wednesday, November 4, 2015 : 8:50 a.m. - 9:10 a.m.

Guangxiang Zhang, PhD, Biostatistics and Data Management Core, University of Hawaii at Manoa, Honolulu, HI
Joseph Keawe’aimoku Kaholokula, PhD, Department of Native Hawaiian Health, University of Hawaii, John A Burns School of Medicine, Honolulu, HI
Andrew Grandinetti, PhD, Department of Public Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI
Rui Fang, M.S., Biostatistics and Data Management Core, University of Hawaii John A. Burns School of Medicine, Honolulu, HI
Although cardiovascular disease (CVD) affects one-third of Americans, little is known about the CVD risks among multi-ethnic populations in Hawaii. We calculated the Framingham Risk Score (FRS) to identify CVD risks using a community-based sample of over 1,400 adults with age 18 to 95 years old who are of Native Hawaiian, Filipino, Japanese-American, and Caucasian ancestries. Both BMI- and lipids-based FRS outcomes were calculated and they showed high correlation with each other (r = 0.96, p < 0.0001). Ethnic differences were identified among the 4 ethnic groups in the preliminary analyses. Using a >20% FRS as a cutoff for high CVD risk, Japanese had the highest (45%)  and Caucasians had the lowest (10%) people with high CVD risk, with Filipinos at 34% and Native Hawaiians at 20%, p < 0.0001. Although FRS itself has been adjusted for age, there was still high correlation between FRS and age (r = 0.71, p < 0.0001). Other potential risk factors were also examined hierarchically, e.g., biological, self-reported lifestyle and psychosocial variables. The results would be compared with those from data-driven big data statistical learning methods (e.g., Ridge regression, LASSO, and elastic Net).

Learning Areas:

Biostatistics, economics
Chronic disease management and prevention
Diversity and culture
Public health or related research

Learning Objectives:
Identify cardiovascular disease (CVD) risk factors in multi-ethic populations in Hawaii using Framingham Risk Scores. List the four ethnic groups used in the community-based sample for this study.

Keyword(s): Heart Disease, Risk Factors/Assesment

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am an Assistant Professor of Biostatistics with 20+ journal articles, including papers on chronic diseases and CVD risks. I have been supporting multiple NIH grants, including an R01 on obesity/physical activity and an R24 on community-based weight loss lifestyle intervention.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.