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Role of severity and gender in the association between late-life depression and all-cause mortality

  • Hyun-Ghang Jeong (a1), Jung Jae Lee (a2), Seok Bum Lee (a3), Joon Hyuk Park (a4), Yoonseok Huh (a5), Ji Won Han (a5), Tae Hui Kim (a5), Ho Jun Chin (a6) and Ki Woong Kim (a6) (a7)...
Abstract
ABSTRACT

Background: Mortality associated with depression may be influenced by severity of depression and gender. We investigated the differential impacts on all-cause mortality of late-life depression by the type of depression (major depressive disorder, MDD; minor depressive disorder, MnDD; subsyndromal depression, SSD) and gender after adjusting comorbid conditions in the randomly sampled elderly.

Methods: One thousand community-dwelling elderly individuals were enrolled. Standardized face-to-face clinical interviews, neurological examination, and physical examination were conducted to diagnose depressive disorders and comorbid cognitive disorders. Depressive disorders were diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria and SSD to study-specific operational criteria. Five-year survivals were compared between groups using Cox proportional hazards models.

Results: By the end of 2010, 174 subjects (17.4%) died. Depressive disorder (p = 0.001) and its interaction term with gender (p < 0.001) were significant in predicting five-year survival. MDD was an independent risk factor for mortality in men (hazard ratio = 3.65, 95% confidence interval = 1.67–7.96) whereas MnDD and SSD were not when other risk factors were adjusted.

Conclusions: MDD may directly confer the risk of mortality in elderly men whereas non-major depression may be just an indicator of increased mortality in both genders.

Copyright
Corresponding author
Correspondence should be addressed to: Ki Woong Kim, Department of Neuropsychiatry, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-707, Korea. Phone: +82-31-7877439; Fax: +82-31-7874058. Email: kwkimmd@snu.ac.kr.
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International Psychogeriatrics
  • ISSN: 1041-6102
  • EISSN: 1741-203X
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