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.
Background:
Individuals with depression often show an adverse cardiometabolic risk profile and might represent a distinct depression subtype. The aim of this study was to investigate whether a cardiometabolic depression subtype could be identified and to investigate its association with demographics and clinical characteristics (severity, symptomatology, anti-depressant use, persistence and cognitive functioning).
Methods:
We used data from The Maastricht Study, a population-based cohort in the southern part of The Netherlands. A total of 248 participants with major depressive disorder were included (mean [SD] age, 58.8 ± 8.5 years; 121 [48.8 %] were men). Major depressive disorder was assessed at baseline by the Mini-International Neuropsychiatric Interview. Cardiometabolic risk factors were defined as indicators of the metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III guidelines. We measured severity and persistence of depressive symptoms by use of the 9-item Patient Health Questionnaire.
Results:
Latent class analysis resulted in two subtypes, one with cardiometabolic depression (n = 145) and another with non-cardiometabolic depression (n = 103). The cardiometabolic depression subtype was characterized by being male, low education, more severe depressive symptoms, less symptoms of depressed mood and more symptoms of loss of energy, more use of antidepressant medication and lower cognitive functioning.
Limitations:
No conclusions can be made about causality.
Conclusions:
Latent class analysis suggested a distinct cardiometabolic depression subtype. Participants with cardiometabolic depression differed from participants with non-cardiometabolic depression in terms of demographics and clinical characteristics. The existence of a cardiometabolic depression subtype may indicate the need for prevention and treatment targeting cardiometabolic risk management.
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