BACKGROUND: 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.
BACKGROUND: 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.
Authors: John R M Copeland; Aartjan T F Beekman; Arjan W Braam; Michael E Dewey; Philippe Delespaul; Rebecca Fuhrer; Christopher Hooijer; Brian A Lawlor; Sirkka-Liisa Kivela; Anthony Lobo; Halgrimur Magnusson; Anthony H Mann; Ingeborg Meller; Martin J Prince; Friedel Reischies; Marc Roelands; Ingmar Skoog; Cesare Turrina; Marten W deVries; Kenneth C M Wilson Journal: World Psychiatry Date: 2004-02 Impact factor: 49.548
Authors: E Mamplekou; V Bountziouka; T Psaltopoulou; A Zeimbekis; N Tsakoundakis; N Papaerakleous; E Gotsis; G Metallinos; G Pounis; E Polychronopoulos; C Lionis; D Panagiotakos Journal: J Nutr Health Aging Date: 2010-06 Impact factor: 4.075
Authors: Hannes Bohman; Ulf Jonsson; Aivar Päären; Anne-Liis Von Knorring; Gunilla Olsson; Lars Von Knorring Journal: Ups J Med Sci Date: 2010-02 Impact factor: 2.384