Importance of modelling decisions on estimating trajectories of depressive symptoms and co-morbid conditions in older adults: Longitudinal studies from ten European countries.

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  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
    • Abstract:
      Background: International comparisons of trajectories of depressive symptoms in older adults are scarce and longitudinal associations with co-morbid conditions not fully understood.
      Objective: To compare trajectories of depressive symptoms from participants living in 10 European Countries and identify ages at which the associations of co-morbid conditions with these trajectories become more relevant.
      Methods: Latent growth curve models were fitted to depressive symptoms scores from participants of the Survey of Health and Retirement in Europe (SHARE) initiative (combined n = 21,253) and co-morbid conditions modelled as time varying covariates. To identify the ages at which the association between co-morbid conditions and depressive symptoms was significant the Johnson-Neyman (JN) technique was used.
      Results: The shape of depressive symptoms trajectories varied between countries, and was highly dependent on modelling decisions. The association between the average number of co-morbidities reported over time and depressive symptoms was consistent and positive across countries and ages.
      Conclusion: International differences in ageing-related trajectories of depressive symptoms emerged. The longitudinal association of co-morbid conditions with trajectories of depressive symptoms was found, but the results overall suggest that modelling decisions could greatly influence the outcomes, and should thus be interpreted with caution.
      Competing Interests: The authors have declared that no competing interests exist.
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    • Grant Information:
      P01 AG043362 United States AG NIA NIH HHS; U01 AG009740 United States AG NIA NIH HHS; P01 AG005842 United States AG NIA NIH HHS; P01 AG008291 United States AG NIA NIH HHS; P30 AG012815 United States AG NIA NIH HHS; R21 AG025169 United States AG NIA NIH HHS
    • Publication Date:
      Date Created: 20190404 Date Completed: 20191219 Latest Revision: 20200309
    • Publication Date:
      20240104
    • Accession Number:
      PMC6447220
    • Accession Number:
      10.1371/journal.pone.0214438
    • Accession Number:
      30943221