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DOI 10.1371/journal.pone.0144203

Медицинская библиотека · PloS one · 2015

Longitudinal Predictors of Institutionalization in Old Age.

Hajek André, Brettschneider Christian, Lange Carolin, Posselt Tina, Wiese Birgitt, Steinmann Susanne, Weyerer Siegfried, Werle Jochen, Pentzek Michael, Fuchs Angela, Stein Janine, Luck Tobias, Bickel Horst, Mösch Edelgard, Wagner Michael, Jessen Frank, Maier Wolfgang, Scherer Martin, Riedel-Heller Steffi G, König Hans-Helmut, AgeCoDe Study Group

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Hajek André, Brettschneider Christian, Lange Carolin, Posselt Tina, Wiese Birgitt, Steinmann Susanne, Weyerer Siegfried, Werle Jochen, Pentzek Michael, Fuchs Angela, Stein Janine, Luck Tobias, Bickel Horst, Mösch Edelgard, Wagner Michael, Jessen Frank, Maier Wolfgang, Scherer Martin, Riedel-Heller Steffi G, König Hans-Helmut, AgeCoDe Study Group. Longitudinal Predictors of Institutionalization in Old Age.. PloS one. 2015. DOI: 10.1371/journal.pone.0144203.

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