Search

Background: Despite the burden of depression in late life, its origins present a paradox to investigators and clinicians alike., Method: We review biological (genetics and heredity factors, neurotransmitter dysfunction, endocrine changes, vascular disorders, and medical co-morbidities), psychological (personality attributes, neuroticism, cognitive distortions, and the lack of emotional control and self-efficacy) and social (stressful life events, bereavement, chronic stress or strain, socio-economic disadvantage and impaired social support) origins of late-life depression based upon an extensive though not exhaustive review of the extant literature. In addition, modifying psychological and social factors are discussed., Results: Older adults appear to be at greater risk for major depression biologically, such as depression resulting from vascular changes, yet the frequency of depression is lower compared to younger adults. Older adults may be protected psychologically due to factors such as socio-emotional selectivity and wisdom, compared to younger adults, and perhaps relatively protected from social risks., Conclusions: A biopsychosocial approach to evaluating the origins of late-life depression is heuristically valuable, a continual reminder of the many factors that contribute to the onset and persistence of clinically significant symptoms in late life.

Background: The evidence for an association between depression and mortality among community-dwelling elderly persons remains inconclusive, although it is well established for younger individuals. Extant studies suggest that this association weakens when adjusted for potential confounding factors, especially functional impairment. A cohort of elderly subjects followed for 3 years was analyzed to determine the association of depression and 3-year mortality, controlling for the major known risk factors for mortality in the elderly population., Methods: Information on depression (CES-D scores), mortality, demographics, body mass index, chronic disease, smoking history, cognitive impairment, functional impairment, self-rated health, and social support was obtained from a stratified probability-based sample of community-dwelling elderly persons, with equal distribution between African Americans and whites in the Piedmont of North Carolina. Descriptive statistics were calculated, and logistic regression was used for a series of models with progressively more control variables., Results: The unadjusted relative odds of mortality among depressed subjects at baseline was 1.98 over 3 years of follow-up. Inclusion of age, gender, and race into the model did not reduce the relative odds. When chronic disease and health habits, cognitive impairment, functional impairment, and social support were added to the model, the odds ratios for mortality with depression were 1.74, 1.69, 1.29, and 1.21, respectively. This decrease in odds ratios was not observed for other variables in the model when additional variables were added., Conclusions: The estimated odds of dying if depressed moved toward unity as other risk factors for mortality were controlled. Unlike other known risk factors for mortality in the elderly population, depression appears to be associated with mortality through a number of independent mechanisms, perhaps through complex feedback loops.