Diabetic indicators are the strongest predictors for cardiovascular disease risk in African American adults

Ashley N Carter1, Penny A Ralston2, Iris Young-Clark2

  • 1Department of Nutrition, Food and Exercise Sciences, Florida State University Tallahassee, Florida, USA.

Insights

African Americans face higher risks for type 2 diabetes and cardiovascular disease (CVD). This study found diabetes and high serum glucose are leading CVD risk factors in this population, more so than hypertension or dyslipidemia.

Area of Science:

  • Cardiovascular Health
  • Metabolic Diseases
  • Health Disparities in African Americans

Background:

  • African Americans exhibit elevated risks for type 2 diabetes and cardiovascular disease (CVD) compared to other racial groups.
  • Both modifiable and non-modifiable factors contribute to the development of these conditions.

Purpose of the Study:

  • To assess diabetes indicators in relation to other CVD risk factors among African American adults.
  • To account for confounding variables in the analysis of these relationships.

Main Methods:

  • Cross-sectional study involving mid-life and older African Americans (≥45 years).
  • Analysis of fasting blood serum for diabetes indicators, apolipoproteins, adipokines, and lipid profiles.
  • Calculation of CVD risk scores and Homeostasis Model Assessments (HOMAs); confounding variables assessed via questionnaires.

Main Results:

  • African American men showed higher fasting blood glucose and lower adiponectin concentrations than women.
  • African American women had higher insulin levels compared to men.
  • Men exhibited a significantly higher risk of developing CVD, influenced by apolipoproteins, adipokines, lipid profiles, and dietary intake.

Conclusions:

  • Diabetes and elevated serum glucose are identified as primary drivers of high CVD risk in African Americans.
  • These findings contrast with some studies highlighting hypertension or dyslipidemia as leading indicators.
  • Dietary intake and its impact on adiposity may explain observed cardiovascular outcome differences between genders.

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