Παρασκευή 24 Ιουνίου 2016

Longitudinal Predictors of Institutionalization in Old Age.

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Longitudinal Predictors of Institutionalization in Old Age.

PLoS One. 2015;10(12):e0144203

Authors: Hajek A, Brettschneider C, Lange C, Posselt T, Wiese B, Steinmann S, Weyerer S, Werle J, Pentzek M, Fuchs A, Stein J, Luck T, Bickel H, Mösch E, Wagner M, Jessen F, Maier W, Scherer M, Riedel-Heller SG, König HH, AgeCoDe Study Group

Abstract
OBJECTIVE: To investigate time-dependent predictors of institutionalization in old age using a longitudinal approach.
METHODS: In a representative survey of the German general population aged 75 years and older predictors of institutionalization were observed every 1.5 years over six waves. Conditional fixed-effects logistic regressions (with 201 individuals and 960 observations) were performed to estimate the effects of marital status, depression, dementia, and physical impairments (mobility, hearing and visual impairments) on the risk of admission to old-age home or nursing home. By exploiting the longitudinal data structure using panel econometric models, we were able to control for unobserved heterogeneity such as genetic predisposition and personality traits.
RESULTS: The probability of institutionalization increased significantly with occurrence of widowhood, depression, dementia, as well as walking and hearing impairments. In particular, the occurrence of widowhood (OR = 78.3), dementia (OR = 154.1) and substantial mobility impairment (OR = 36.7) were strongly associated with institutionalization.
CONCLUSION: Findings underline the strong influence of loss of spouse as well as dementia on institutionalization. This is relevant as the number of old people (a) living alone and (b) suffering from dementia is expected to increase rapidly in the next decades. Consequently, it is supposed that the demand for institutionalization among the elderly will increase considerably. Practitioners as well as policy makers should be aware of these upcoming challenges.

PMID: 26658776 [PubMed - indexed for MEDLINE]



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