Skip to main content

Prevalence and predictors of depression in populations of elderly: a review

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

Djernes JK. Prevalence and predictors of depression in populations of elderly: a review. Objective: 

To offer an update on prevalence and predictors of old age depression in populations of elderly Caucasians. Method: 

The databases MEDLINE and Psychinfo were searched and relevant literature from 1993 onwards was reviewed. Results: 

The prevalence of major depression ranges from 0.9% to 9.4% in private households, from 14% to 42% in institutional living, and from 1% to 16% among elderly living in private households or in institutions; and clinically relevant depressive symptom ‘cases’ in similar settings vary between 7.2% and 49%. The main predictors of depressive disorders and depressive symptom cases are: female gender, somatic illness, cognitive impairment, functional impairment, lack or loss of close social contacts, and a history of depression. Conclusion: 

Depression is frequent in populations of elderly. Methodological differences between the studies hinder consistent conclusions about geographical and cross-cultural variations in prevalence and predictors of depression. Improved comparability will provide a basis for consistent conclusions.

Keywords: aged; community; depression; epidemiology; predictors; prevalence; residential facilities

Document Type: Research Article

DOI: https://doi.org/10.1111/j.1600-0447.2006.00770.x

Publication date: 2006-05-01

  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more