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Community-based case-control study of depression in older people. Cases and sub-cases from the MRC-ALPHA Study.

AbstractBACKGROUND:
Risk factors of depression in later life, particularly for sub-cases and for psychotic and neurotic types of depression, are unclear.
AIMS:
To identify such risk factors.
METHOD:
Over 5200 older people (> or = 65 years), randomly selected from Liverpool, were interviewed using the Geriatric Mental State (GMS) and the Minimum Data Set (MDS). The computer-assisted diagnosis AGECAT identified 483 cases and 575 sub-cases of depression and 2451 with no mental problems. Logistic regression was employed to examine factors relevant to caseness.
RESULTS:
In multiple logistical regression, odds ratios (ORs) were significantly high for being female (2.04, 95% CI 1.56-2.69), widowed (2.00, 1.18-3.39), having alcohol problems (4.37, 1.40-2.94), physical disablement (2.03, 1.40-2.94), physical illness (1.98, 1.25-3.15), taking medications to calm down (10.04, 6.41-15.71), and dissatisfaction with life (moderate 4.54, 3.50-5.90; more severe 29.00, 16.00-52.59). Good social networks reduced the ORs. If sub-cases were included as controls, the statistical significance was reduced.
CONCLUSIONS:
Age was not associated with depression in later life whereas gender, physical disablement and dissatisfaction with life were. The sub-cases shared many risk factors with cases, suggesting that prevention may need to be attempted at an early stage.
AuthorsJ R Copeland, R Chen, M E Dewey, C F McCracken, C Gilmore, B Larkin, K C Wilson
JournalThe British journal of psychiatry : the journal of mental science (Br J Psychiatry) Vol. 175 Pg. 340-7 (Oct 1999) ISSN: 0007-1250 [Print] England
PMID10789301 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Age Factors
  • Aged
  • Analysis of Variance
  • Case-Control Studies
  • Cross-Sectional Studies
  • Depressive Disorder (epidemiology, etiology)
  • Disabled Persons
  • England (epidemiology)
  • Female
  • Humans
  • Logistic Models
  • Male
  • Odds Ratio
  • Quality of Life
  • Risk Factors
  • Sex Factors

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