Abstract MP32: Race-sex differences in hyperlipidemia awareness, treatment and control in the Reasons for Geographic And Racial Differences in Stroke (REGARDS) study

Abstract

Introduction: To identify potential targets for eliminating disparities in cardiovascular disease outcomes, we examined race-sex differences in awareness, treatment and control of hyperlipidemia in the REGARDS cohort. Methods: REGARDS recruited 30,239 blacks and whites aged ≥45 residing in the 48 continental US between 2003-7. Baseline data were collected via telephone interviews followed by in-home visits. We categorized participants into coronary heart disease (CHD) risk groups (CHD or risk equivalent [highest risk]; Framingham Coronary Risk Score [FRS] >20%; FRS 10-20%; FRS <10%) following the 3 rd Adult Treatment Panel. Prevalence, awareness, treatment and control of hyperlipidemia were described across risk categories and race-sex groups. Multivariable models examined associations for hyperlipidemia awareness, treatment and control between race-sex groups compared with white men, adjusting for predisposing, enabling and need factors. Results: There were 11,677 individuals at highest risk, 847 with FRS >20%, 5791 with FRS 10-20%, and 10,900 with FRS<10%; 43% of white men, 29% of white women, 49% of black men and 43% of black women were in the highest risk category. More high risk whites than blacks were aware of their hyperlipidemia but treatment was 10-17% less common and control was 5-49% less common among race-sex groups compared with white men across risk categories. After multivariable adjustment, all race-sex groups relative to white men were significantly less likely to be treated or controlled, with the greatest differences for black women vs. white men (Table). Results were similar when stratified on CHD risk and area-level poverty tertile. Conclusion: Compared to white men at similar CHD risk, fewer white women, black men and especially black women who were aware of their hyperlipidemia were treated and when treated, they were less likely to achieve control, even after adjusting for factors that influence health services utilization.