Mental illness and cardiovascular health: observational and polygenic score analyses in a population-based cohort study

• Published in: Psychological medicine Vol. 54; no. 5; pp. 1 - 939
• Main Authors: Veeneman, R R, Vermeulen, J M, Bialas, M, Bhamidipati, A K, Abdellaoui, A, Munafò, M R, Denys, D, Bezzina, C R, Verweij, K J H, Tadros, R, Treur, J L
• Format: Journal Article
• Language: English
• Published: England Cambridge University Press 01.04.2024
• Subjects: Adjustment disorder; Antihypertensives; Antipsychotics; Arrhythmia; Arteriosclerosis; Atherosclerosis; Bipolar disorder; Blood pressure; Cardiac arrhythmia; Cardiovascular diseases; Cohort analysis; Demography; Depressive personality disorders; Diabetes; Diagnosis; Drugs; Educational attainment; Electrocardiography; Exercise; Genomes; Heart rate; Hypertension; Illnesses; Liability; Life expectancy; Life span; Medical diagnosis; Mental depression; Mental disorders; Mental health; Mortality; Pathophysiology; Polygenic inheritance; Population; Population studies; Premature mortality; Psychotropic drugs; Schizophrenia; Variability; depressive disorder; cardiovascular disease; bipolar disorder; genetics; schizophrenia; polygenic score
• ISSN: 0033-2917; 1469-8978
• DOI: 10.1017/S0033291723002635

Individuals with serious mental illness have a markedly shorter life expectancy. A major contributor to premature death is cardiovascular disease (CVD). We investigated associations of (genetic liability for) depressive disorder, bipolar disorder and schizophrenia with a range of CVD traits and examined to what degree these were driven by important confounders. We included participants of the Dutch Lifelines cohort ( = 147 337) with information on self-reported lifetime diagnosis of depressive disorder, bipolar disorder, or schizophrenia and CVD traits. Employing linear mixed-effects models, we examined associations between mental illness diagnoses and CVD, correcting for psychotropic medication, demographic and lifestyle factors. In a subsample ( = 73 965), we repeated these analyses using polygenic scores (PGSs) for the three mental illnesses. There was strong evidence that depressive disorder diagnosis is associated with increased arrhythmia and atherosclerosis risk and lower heart rate variability, even after confounder adjustment. Positive associations were also found for the depression PGSs with arrhythmia and atherosclerosis. Bipolar disorder was associated with a higher risk of nearly all CVD traits, though most diminished after adjustment. The bipolar disorder PGSs did not show any associations. While the schizophrenia PGSs was associated with increased arrhythmia risk and lower heart rate variability, schizophrenia diagnosis was not. All mental illness diagnoses were associated with lower blood pressure and a lower risk of hypertension. Our study shows widespread associations of (genetic liability to) mental illness (primarily depressive disorder) with CVD, even after confounder adjustment. Future research should focus on clarifying potential causal pathways between mental illness and CVD.