Increased Cardiovascular Disease Risk in Veterans With Mental Illness

Mary C Vance1, Wyndy L Wiitala2, Jeremy B Sussman3,2

  • 1From the Department of Psychiatry, Uniformed Services University, Bethesda, MD (M.C.V.).

Insights

Severe mental illnesses like psychosis significantly increase the risk of cardio-cerebrovascular disease (CVD) events and mortality in both men and women. This highlights the critical link between mental health conditions and cardiovascular health outcomes.

Area of Science:

  • Cardiology
  • Psychiatry
  • Public Health

Background:

  • Previous research indicates a link between mental illnesses and cardio-cerebrovascular disease (CVD) risk.
  • However, studies comparing the relative strength of association between different mental illnesses and CVD risk are limited.

Purpose of the Study:

  • To assess the association of various psychiatric diagnoses with major CVD outcomes.
  • To compare the strength of association between different mental illnesses and CVD risk.

Main Methods:

  • Utilized a national primary prevention cohort of military veterans (approx. 1.52 million men, 94,000 women) from VA, CMS, and CDC databases.
  • Employed multiple logistic regression to analyze psychiatric diagnoses (psychosis, bipolar disorder, depression, anxiety, PTSD) and CVD outcomes (events, mortality) over 5 years.
  • Adjusted for sex, other psychiatric diagnoses, age, race, conventional CVD risk factors, and medication use.

Main Results:

  • Among men, depression, psychosis, and bipolar disorder predicted CVD events and mortality; psychosis had the largest effect size.
  • Among women, psychosis and bipolar disorder predicted CVD events and mortality; psychosis showed the largest effect size.
  • Anxiety was linked to CVD mortality in men, while depression was linked to CVD events in women.

Conclusions:

  • Multiple mental illnesses are associated with increased CVD risk, supporting the chronic stress hypothesis.
  • More severe mental illnesses, such as primary psychotic disorders, demonstrated the largest effect sizes for CVD outcomes.
  • These associations remained significant after controlling for other psychiatric diagnoses, CVD risk factors, and medication use.
Abstract

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