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Somatic disease burden and depression risk in late life: a community-based study
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI).ORCID iD: 0000-0002-8732-0036
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI). Stockholm Gerontology Research Center, Sweden.ORCID iD: 0000-0002-3099-4830
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI).ORCID iD: 0000-0002-1621-1174
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI). Stockholm Gerontology Research Center, Sweden.ORCID iD: 0000-0001-9064-9222
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Number of Authors: 72024 (English)In: Epidemiology and Psychiatric Sciences, ISSN 2045-7960, E-ISSN 2045-7979, Vol. 33, article id e6Article in journal (Refereed) Published
Abstract [en]

Aims. Co-occurring somatic diseases exhibit complex clinical profiles, which can differentially impact the development of late-life depression. Within a community-based cohort, we aimed to explore the association between somatic disease burden, both in terms of the number of diseases and their patterns, and the incidence of depression in older people.

Methods. We analysed longitudinal data of depression- and dementia-free individuals aged 60+ years from the population-based Swedish National Study on Aging and Care in Kungsholmen. Depression diagnoses were clinically ascertained following the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision over a 15-year follow-up. Somatic disease burden was assessed at baseline through a comprehensive list of chronic diseases obtained by combining information from clinical examinations, medication reviews and national registers and operationalized as (i) disease count and (ii) patterns of co-occurring diseases from latent class analysis. The association of somatic disease burden with depression incidence was investigated using Cox models, accounting for sociodemographic, lifestyle and clinical factors.

Results. The analytical sample comprised 2904 people (mean age, 73.2 [standard deviation (SD), 10.5]; female, 63.1%). Over the follow-up (mean length, 9.6 years [SD, 4 years]), 225 depression cases were detected. Each additional disease was associated with the occurrence of any depression in a dose–response manner (hazard ratio [HR], 1.16; 95% confidence interval [CI]: 1.08, 1.24). As for disease patterns, individuals presenting with sensory/anaemia (HR, 1.91; 95% CI: 1.03, 3.53), thyroid/musculoskeletal (HR, 1.90; 95% CI: 1.06, 3.39) and cardiometabolic (HR, 2.77; 95% CI: 1.40, 5.46) patterns exhibited with higher depression hazards, compared to those without 2+ diseases (multimorbidity). In the subsample of multimorbid individuals (85%), only the cardiometabolic pattern remained associated with a higher depression hazard compared to the unspecific pattern (HR, 1.71; 95% CI: 1.02, 2.84).

Conclusions. Both number and patterns of co-occurring somatic diseases are associated with an increased risk of late-life depression. Mental health should be closely monitored among older adults with high somatic burden, especially if affected by cardiometabolic multimorbidity.

Place, publisher, year, edition, pages
2024. Vol. 33, article id e6
Keywords [en]
disease patterns population-based, late life depression, multimorbidity, psychosomatic medicine
National Category
Gerontology, specialising in Medical and Health Sciences Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:su:diva-227011DOI: 10.1017/S2045796024000064ISI: 001157211800001PubMedID: 38327092Scopus ID: 2-s2.0-85184698143OAI: oai:DiVA.org:su-227011DiVA, id: diva2:1842217
Available from: 2024-03-04 Created: 2024-03-04 Last updated: 2025-02-20Bibliographically approved

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Triolo, FedericoVetrano, Davide L.Sjöberg, LinneaCalderón-Larrañaga, AmaiaFratiglioni, LauraDekhtyar, Serhiy

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Triolo, FedericoVetrano, Davide L.Sjöberg, LinneaCalderón-Larrañaga, AmaiaFratiglioni, LauraDekhtyar, Serhiy
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Gerontology, specialising in Medical and Health SciencesPublic Health, Global Health and Social Medicine

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