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Association of Cardiometabolic Multimorbidity with Risk of Late-life Depression: a Nationwide Twin Study

Overview
Journal Eur Psychiatry
Specialty Psychiatry
Date 2024 Sep 25
PMID 39320861
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Abstract

Background: Cardiometabolic diseases (CMDs) including heart disease, stroke, and type 2 diabetes have been individually linked to depression. However, their combined impact on depression risk is unclear. We aimed to examine the association between cardiometabolic multimorbidity and depression and explore the role of genetic background in this association.

Methods: Within the Swedish Twin Registry, 40,080 depression-free individuals (mean age 60 years) were followed for 18 years. Cardiometabolic multimorbidity was defined as having ≥2 CMDs. CMDs and depression were ascertained based on the National Patient Register. Cox regression was used to estimate the CMD-depression association in a classical cohort study design and a matched co-twin design involving 176 twin pairs. By comparing the associations between monozygotic and dizygotic co-twins, the contribution of genetic background was estimated.

Results: At baseline, 4809 (12.0%) participants had one CMD and 969 (2.4%) had ≥2 CMDs. Over the follow-up period, 1361 participants developed depression. In the classical cohort design, the multi-adjusted hazard ratios (95% confidence interval [CIs]) of depression were 1.52 (1.31-1.76) for those with one CMD and 1.83 (1.29-2.58) for those with ≥2 CMDs. CMDs had a greater risk effect on depression if they developed in mid-life (<60 years) as opposed to late life (≥60 years). In matched co-twin analysis, the CMD-depression association was significant among dizygotic twins (HR = 1.63, 95% CI, 1.02-2.59) but not monozygotic twins (HR = 0.90, 95% CI, 0.32-2.51).

Conclusions: Cardiometabolic multimorbidity is associated with an elevated risk of depression. Genetic factors may contribute to the association between CMDs and depression.

References
1.
Liu S, Leone M, Ludvigsson J, Lichtenstein P, Gudbjornsdottir S, Landen M . Early-Onset Type 2 Diabetes and Mood, Anxiety, and Stress-Related Disorders: A Genetically Informative Register-Based Cohort Study. Diabetes Care. 2022; 45(12):2950-2956. PMC: 9862460. DOI: 10.2337/dc22-1053. View

2.
Choi K, Stein M, Nishimi K, Ge T, Coleman J, Chen C . An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression. Am J Psychiatry. 2020; 177(10):944-954. PMC: 9361193. DOI: 10.1176/appi.ajp.2020.19111158. View

3.
Champaneri S, Wand G, Malhotra S, Casagrande S, Golden S . Biological basis of depression in adults with diabetes. Curr Diab Rep. 2010; 10(6):396-405. DOI: 10.1007/s11892-010-0148-9. View

4.
Rokita K, Dauvermann M, Donohoe G . Early life experiences and social cognition in major psychiatric disorders: A systematic review. Eur Psychiatry. 2018; 53:123-133. DOI: 10.1016/j.eurpsy.2018.06.006. View

5.
. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022; 9(2):137-150. PMC: 8776563. DOI: 10.1016/S2215-0366(21)00395-3. View