Literature DB >> 26795427

Cardiometabolic disease and features of depression and bipolar disorder: population-based, cross-sectional study.

Daniel J Martin1, Zia Ul-Haq1, Barbara I Nicholl1, Breda Cullen1, Jonathan Evans1, Jason M R Gill1, Beverly Roberts1, John Gallacher1, Daniel Mackay1, Andrew McIntosh1, Matthew Hotopf1, Nick Craddock1, Ian J Deary1, Jill P Pell1, Daniel J Smith2.   

Abstract

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. © The Royal College of Psychiatrists 2016.

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Year:  2016        PMID: 26795427     DOI: 10.1192/bjp.bp.114.157784

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  13 in total

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Review 2.  Role of Adiposity-Driven Inflammation in Depressive Morbidity.

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Journal:  Neuropsychopharmacology       Date:  2016-07-11       Impact factor: 7.853

3.  Changes in prescribing for bipolar disorder between 2009 and 2016: national-level data linkage study in Scotland.

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Journal:  Mol Psychiatry       Date:  2021-05-25       Impact factor: 15.992

5.  UK Biobank: opportunities for cardiovascular research.

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6.  Impact of major depression on cardiovascular outcomes for individuals with hypertension: prospective survival analysis in UK Biobank.

Authors:  Nicholas Graham; Joey Ward; Daniel Mackay; J P Pell; Jonathan Cavanagh; Sandosh Padmanabhan; Daniel J Smith
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7.  Common mechanisms for type 2 diabetes and psychosis: Findings from a prospective birth cohort.

Authors:  Benjamin I Perry; Hannah J Jones; Tom G Richardson; Stan Zammit; Nicholas J Wareham; Glyn Lewis; Peter B Jones; Golam M Khandaker
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8.  History of Depression, Elevated Body Mass Index, and Waist-to-Height Ratio in Preadolescent Children.

Authors:  William W Lewis-de Los Angeles; Richard T Liu
Journal:  Psychosom Med       Date:  2021 Nov-Dec 01       Impact factor: 4.312

9.  THE MANAGEMENT OF CARDIOVASCULAR DISEASE RISK FACTORS IN BIPOLAR DISORDER PATIENTS IN PRIMARY HEALTHCARE SETTINGS.

Authors:  Sandra I Ralat; Rossana I Barrios
Journal:  Rev Puertorriquena Psicol       Date:  2020 Jan-Jun

10.  Cardiometabolic risk in young adults with depression and evidence of inflammation: A birth cohort study.

Authors:  Benjamin I Perry; Bianca P Oltean; Peter B Jones; Golam M Khandaker
Journal:  Psychoneuroendocrinology       Date:  2020-04-18       Impact factor: 4.905

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