Introduction: Because the oldest old will be the fastest-growing age group in the future and information about epidemiology of depressive symptoms in latest life is scarce, the present study aims at determining the age-specific and gender-specific prevalence rates and risk factors of depressive symptoms in latest life.
Methods: As part of the Leipzig Longitudinal Study of the Aged (LEILA 75+), a population-based sample of 1,006 individuals aged 75 years and older were interviewed on socio-demographic, clinical and psychometric variables. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (cut-off score ≥16); mild cognitive impairment (MCI) was diagnosed according to criteria of the International Working Group on MCI. Factors associated with depressive symptoms were determined with multiple logistic regression models.
Results: Of the overall sample, 38.2% (95% confidence interval, CI 35.2-41.2) were classified as depressed. In the full multivariate model, the following variables were significantly associated with depressive symptoms: divorced or widowed marital status, low educational level, poor self-rated health status, functional impairment, multi-domain MCI, stressful life events and poor social network. All variables but MCI remained significant correlates of depressive symptoms in the parsimonious model.
Discussion: Because depressive symptoms are common in oldest age and associated with broad categories of risk factors, latest-life depression represents an important public health issue. Employment of comprehensive geriatric assessment to ascertain depressive symptoms and its concomitants could help to improve treatment success.
Copyright © 2011 John Wiley & Sons, Ltd.