Understanding and characterizing the higher rates of medical comorbidities in serious mental illness

Mohammed Farooqui1, Megan Cooke1, Carlos N Pato1

  • 1Center for Psychiatric Health and Genomics (CPHG), Department of Psychiatry, Rutgers University, Piscataway, NJ, USA.

PubMed

Insights

Serious mental illness (SMI) is linked to higher rates of medical issues like hypertension. Substance use and ancestry further impact these serious mental illness comorbidities, affecting health outcomes.

Area of Science:

  • Psychiatry
  • Genetics
  • Public Health

Background:

  • Individuals with serious mental illness (SMI) experience reduced life expectancy due to medical comorbidities.
  • Understanding these comorbidities in diverse populations is crucial for improving care.

Purpose of the Study:

  • To evaluate medical comorbidities in a large cohort of individuals with SMI.
  • To assess the influence of probable alcohol use disorder (pAUD), probable tobacco use disorder (pTUD), and ancestry on these comorbidities.

Main Methods:

  • The Genomic Psychiatry Cohort was analyzed, categorizing participants into schizophrenia (SZ), bipolar disorder (BD), and control (CON) groups.
  • Logistic regression models assessed the odds of heart problems, hypertension, high blood sugar, high cholesterol, and cancer.
  • The impact of pAUD, pTUD, ancestry, and sex was also evaluated.

Main Results:

  • Both SZ and BD groups exhibited significantly higher odds of all five comorbidities compared to controls.
  • pAUD was associated with increased odds of heart problems, hypertension, and cancer in individuals with SMI.
  • Ancestry influenced comorbidity prevalence: hypertension and high blood sugar were higher in African-ancestry (AA) SMI individuals, while high cholesterol and cancer were higher in European-ancestry (EA) SMI individuals.

Conclusions:

  • Serious mental illness (schizophrenia and bipolar disorder) is strongly associated with increased medical comorbidities.
  • Factors including probable alcohol use disorder, probable tobacco use disorder, and ancestry play a significant role in the health disparities observed in SMI populations.

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