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Depression as a Risk Factor for Mortality in Individuals with Diabetes: A Meta-Analysis of Prospective Studies

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  • Mareike Hofmann
  • Birgit Köhler
  • Falk Leichsenring
  • Johannes Kruse

Abstract

Objective: To quantify the impact of depression measured by self-reports and depression measured by clinical interview on all-cause mortality in individuals with diabetes and to analyze the strength of both associations, the influence of covariates, and possible differences between studies assessing self-rated depressive symptoms and those using a clinical interview to measure depression as predictors of mortality. Research Design and Methods: PUBMED and PsycINFO were searched up to July 2013 for prospective studies assessing depression, diabetes and mortality. The pooled hazard ratios were calculated using random-effects models. Results: Sixteen studies met the inclusion criteria. After adjustment for demographic variables depression measured by self-reports was associated with an increased all-cause mortality risk (pooled HR = 2.56, 95% CI 1.89–3.47), and the mortality risk remained high after additional adjustment for diabetes complications (HR = 1.76, 95% CI 1.45–2.14,). Six studies reporting adjusted HRs for depression measured by clinical interviews supported the results of the other models (HR = 1.49, 95% CI 1.15–1.93). Conclusions: Both depression measured by self-report and depression measured by clinical interview have an unfavorable impact on mortality in individuals with diabetes. The results, however, are limited by the heterogeneity of the primary studies. It remains unclear whether self-reports or clinical interviews for depression are the more precise predictor.

Suggested Citation

  • Mareike Hofmann & Birgit Köhler & Falk Leichsenring & Johannes Kruse, 2013. "Depression as a Risk Factor for Mortality in Individuals with Diabetes: A Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-7, November.
  • Handle: RePEc:plo:pone00:0079809
    DOI: 10.1371/journal.pone.0079809
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    References listed on IDEAS

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    1. Fleur E P van Dooren & Giesje Nefs & Miranda T Schram & Frans R J Verhey & Johan Denollet & François Pouwer, 2013. "Depression and Risk of Mortality in People with Diabetes Mellitus: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-11, March.
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    1. Gagnon J & Lussier MT & Daskalopoulou SS & MacGibbon B & Bartlett G, 2017. "Antidepressant Prescription Practices among Primary Health Care Providers for Patients with Diabetes Mellitus," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 2(4), pages 1-8, June.
    2. Chen Xue & Yang Ge & Bihan Tang & Yuan Liu & Peng Kang & Meng Wang & Lulu Zhang, 2015. "A Meta-Analysis of Risk Factors for Combat-Related PTSD among Military Personnel and Veterans," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-21, March.
    3. Gagnon J & Lussier MT & Daskalopoulou SS & MacGibbon B & Bartlett G, 2017. "Antidepressant Prescription Practices among Primary Health Care Providers for Patients with Diabetes Mellitus," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 2(4), pages 68-76, June.
    4. Jörg Wiltink & Matthias Michal & Philipp S Wild & Astrid Schneider & Jochem König & Maria Blettner & Thomas Münzel & Andreas Schulz & Matthias Weber & Christian Fottner & Norbert Pfeiffer & Karl Lackn, 2014. "Associations between Depression and Diabetes in the Community: Do Symptom Dimensions Matter? Results from the Gutenberg Health Study," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-6, August.
    5. Peter Marx & Peter Antal & Bence Bolgar & Gyorgy Bagdy & Bill Deakin & Gabriella Juhasz, 2017. "Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-23, June.

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