American Heart Association's Ideal Cardiovascular Health Metrics in Under-Represented Asian Americans

J Community Health. 2016 Dec;41(6):1282-1289. doi: 10.1007/s10900-016-0217-3.

Abstract

The American Heart Association's ideal cardiovascular health score is based on 7 cardiovascular health metrics to measure progress toward their Impact Goal of reducing cardiovascular disease by 20 % before 2020. This study applied this construct to assess cardiovascular health in a sample of Asian Americans. Convenience sampling methods were used to enroll self-identified Asian American's over the age of 18 years who were attending community health fairs across the greater Philadelphia and urban areas of New Jersey. The heart health metrics of tobacco use, body mass index, physical activity, diet, blood pressure, and glucose were measured. In the greater sample (N = 541), 82 % were female, the mean age was 65.1 (SD = 15.5) years, 45 % were Vietnamese, 38 % were Chinese and 17 % were Korean. Prevalence of ideal heart health for the metrics of tobacco use (95 %) was high. Only 19.4 % achieved ideal levels of physical activity, 35.1 % for BMI, 28.9 % for glucose and 66 % for blood pressure. Dietary intake was ideal for 20.7 % of the sample. More years since migration and Korean race trended toward having a higher prevalence of poor health in some metrics. Most Asian Americans are not achieving ideal cardiovascular health for several of the metrics evaluated, with those residing in the United States for more than 13 years and Korean Americans being higher-risk groups. Targeted community based intervention approaches to improving and monitoring heart health in Asian American, and Asian American subgroups, are needed.

Keywords: Asian American; Cardiovascular health; Ideal heart health; Korean American; Migrant health.

MeSH terms

  • Aged
  • American Heart Association*
  • Asian*
  • Cardiovascular Diseases / epidemiology*
  • Cardiovascular Diseases / ethnology*
  • Female
  • Health Status*
  • Humans
  • Male
  • Middle Aged
  • New Jersey / epidemiology
  • Philadelphia / epidemiology
  • United States