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Somatic disease burden and depression risk in late life: a community-based study.
Triolo, Federico; Vetrano, Davide Liborio; Sjöberg, Linnea; Calderón-Larrañaga, Amaia; Belvederi Murri, Martino; Fratiglioni, Laura; Dekhtyar, Serhiy.
Afiliación
  • Triolo F; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Vetrano DL; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Sjöberg L; Stockholm Gerontology Research Center, Stockholm, Sweden.
  • Calderón-Larrañaga A; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Belvederi Murri M; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Fratiglioni L; Stockholm Gerontology Research Center, Stockholm, Sweden.
  • Dekhtyar S; Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.
Epidemiol Psychiatr Sci ; 33: e6, 2024 Feb 08.
Article en En | MEDLINE | ID: mdl-38327092
ABSTRACT

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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Depresión Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Depresión Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans Idioma: En Año: 2024 Tipo del documento: Article