US Military Service and Racial/Ethnic Differences in Cardiovascular Disease: An Analysis of the 2011-2016 Behavioral Risk Factor Surveillance System

Ethn Dis. 2019 Jul 18;29(3):451-462. doi: 10.18865/ed.29.3.451. eCollection 2019 Summer.

Abstract

Objective: To determine: 1) rates of cardiovascular disease (CVD) among individuals with and without prior US military service; and 2) variation in CVD outcomes by race/ethnicity.

Methods: We performed a cross-sectional study of the 2011-2016 Behavioral Risk Factor Surveillance System during 2018-2019. Groups with (n=369,844) and without (n=2,491,784) prior service were compared overall, and by race/ethnicity. CVD odds were compared using logistic regression. Rate-difference decomposition was used to estimate relative contributions of covariates to differences in CVD prevalence.

Results: CVD was associated with military service (OR=1.34; P<.001). Among non-Hispanic Blacks, prior service was associated with a lower odds of CVD (OR=.69; P<.001), fully attenuating the net difference in CVD between individuals with and without prior service. Non-Hispanic Whites who served had the highest odds of CVD, while Hispanics with prior service had the same odds of CVD as non-Hispanic Whites without prior service. After age, smoking and body mass index status were the largest contributors to CVD differences by race/ethnicity.

Conclusions: Results from this study support an association between prior military service and CVD and highlight differences in this association by race/ethnicity. Knowledge of modifiable health behaviors that contribute to differences in CVD outcomes could be used to guide prevention efforts.

Keywords: Cardiovascular Diseases; Health Behavior; Health Status Disparities; Military; Race/Ethnicity; Veterans Health.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Aged
  • Behavioral Risk Factor Surveillance System
  • Black People / statistics & numerical data
  • Cardiovascular Diseases / ethnology*
  • Cross-Sectional Studies
  • Ethnicity / statistics & numerical data*
  • Female
  • Health Behavior
  • Health Status Disparities*
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Military Personnel / statistics & numerical data*
  • Prevalence
  • Risk Factors
  • United States
  • White People / statistics & numerical data