ArticleFrontiers in public health2022
Association between single and multiple cardiometabolic diseases and depression: A cross-sectional study of 391,083 participants from the UK biobank.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Article
- Genetic susceptibility to depression and risk of cardiometabolic diseases: a systematic review and meta-analysis of 21 Mendelian randomisation studies.EClinicalMedicine · 2025Article
- Association of clonal hematopoiesis of indeterminate potential with cardiometabolic multimorbidity progression and mortality: a prospective study of UK Biobank.European journal of medical research · 2025Article
- Linking cardiometabolic multimorbidity to depressive symptoms in the oldest-old: results from a cross-sectional study in Germany.BMC public health · 2025Article
- Association of single and multiple cardiometabolic diseases with atrial fibrillation: a prospective cohort study.Open heart · 2025Article
- The longitudinal association between multiple cardiometabolic diseases, socioeconomic status, and depressive symptoms in China.Scientific reports · 2025Article
- Cardiometabolic multimorbidity and symptoms of common mental disorders in a primary healthcare system for low-income urban population in Pakistan.PLOS global public health · 2025Article
- Association of cardiometabolic multimorbidity with risk of late-life depression: a nationwide twin study.European psychiatry : the journal of the Association of European Psychiatrists · 2024Article
- Mesocorticolimbic and Cardiometabolic Diseases-Two Faces of the Same Coin?International journal of molecular sciences · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
Background: Individual cardiometabolic diseases (CMDs) are associated with an increased risk of depression, but it's unclear whether having more than one CMD is associated with accumulative effects on depression. We aimed to assess the associations between CMDs and depression and determine the accumulative extent. Methods: In this cross-sectional study based on UK Biobank, participants with available information on CMDs and depression were enrolled. The history of CMDs was derived from self-reported medical history and electrical health-related records. Depression status was assessed by the aggregation of self-reported history and antidepressant use, depression (Smith), and hospital inpatient diagnoses. Logistic regression models were fitted to assess the association between the number or specific patterns of CMDs and depression and to test the accumulative effect of CMD number, adjusting for confounding factors. Results: 391,083 participants were enrolled in our analyses. After multivariable adjustments, CMDs of different number or patterns were associated with a higher risk of depression compared with the reference group (all Conclusions: CMDs were associated with a higher risk of depression, and there was an accumulative relationship between CMD number and depression.
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