The cardiometabolic depression subtype and its association with clinical characteristics: The Maastricht Study

Anouk F J Geraets1, Miranda T Schram2, Jacobus F A Jansen3

  • 1Alzheimer Centrum Limburg, Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands; Department of Internal Medicine, Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands; School of Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine & Life Sciences, Maastricht University, Maastricht, the Netherlands; School for Cardiovascular Diseases (CARIM), Faculty of Health, Medicine & Life Sciences, Maastricht University, Maastricht, the Netherlands.

Insights

A distinct subtype of depression linked to cardiometabolic risk factors was identified. This cardiometabolic depression subtype is associated with male sex, lower education, and poorer cognitive function.

Area of Science:

  • Psychiatry and Mental Health
  • Cardiology
  • Metabolic Health

Background:

  • Depression is often linked to adverse cardiometabolic risk profiles.
  • This association suggests a potential distinct subtype of depression.

Purpose of the Study:

  • To identify a cardiometabolic depression subtype.
  • To examine its association with demographic and clinical characteristics.

Main Methods:

  • Latent class analysis was used on data from The Maastricht Study.
  • 248 participants with major depressive disorder were analyzed.
  • Cardiometabolic risk factors were defined using National Cholesterol Education Program Adult Treatment Panel III guidelines.

Main Results:

  • Two subtypes were identified: cardiometabolic depression (n=145) and non-cardiometabolic depression (n=103).
  • The cardiometabolic subtype was characterized by male sex, low education, more severe symptoms, less depressed mood, more loss of energy, higher antidepressant use, and lower cognitive functioning.

Conclusions:

  • Latent class analysis suggests a distinct cardiometabolic depression subtype.
  • This subtype differs in demographics and clinical features from non-cardiometabolic depression.
  • Identifying this subtype may guide prevention and treatment strategies focusing on cardiometabolic risk management.
Abstract

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