Why the study?
Are features of depression and bipolar disorder associated with cardiometabolic diseases in a large population sample?
Are features of depression and bipolar disorder associated with cardiometabolic diseases in a large population sample?
Features of depression and bipolar disorder, as well as psychotropic medication use, are independently associated with an increased risk of cardiovascular disease and hypertension.
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Associations in this cross-sectional analysis are hypothesis-generating; leaves open causality, temporality, and any practice implications.
BACKGROUND: The relative contribution of demographic, lifestyle and medication factors to the association between affective disorders and cardiometabolic diseases is poorly understood. AIMS: To assess the relationship between cardiometabolic disease and features of depresion and bipolar disorder within a large population sample. METHOD: Cross-sectional study of 145 991 UK Biobank participants: multivariate analyses of associations between features of depression or bipolar disorder and five cardiometabolic outcomes, adjusting for confounding factors. RESULTS: There were significant associations between mood disorder features and 'any cardiovascular disease' (depression odds ratio (OR) = 1.15, 95% CI 1.12-1.19; bipolar OR = 1.28, 95% CI 1.14-1.43) and with hypertension (depression OR = 1.15, 95% CI 1.13-1.18; bipolar OR = 1.26, 95% CI 1.12-1.42). Individuals with features of mood disorder taking psychotropic medication were significantly more likely than controls not on psychotropics to report myocardial infarction (depression OR = 1.47, 95% CI 1.24-1.73; bipolar OR = 2.23, 95% CI 1.53-3.57) and stroke (depression OR = 2.46, 95% CI 2.10-2.80; bipolar OR = 2.31, 95% CI 1.39-3.85). CONCLUSIONS: Associations between features of depression or bipolar disorder and cardiovascular disease outcomes were statistically independent of demographic, lifestyle and medication confounders. Psychotropic medication may also be a risk factor for cardiometabolic disease in individuals without a clear history of mood disorder.
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Martin et al. (2016) studied this question.
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