BACKGROUND: In recent decades a substantial number of studies have examined predictors of nursing home placement (NHP) in the elderly. This study provides a systematic review of gender-differences in predictors of NHP from population-based, longitudinal studies worldwide. METHODS: Relevant articles were identified by a systematic search of literature. The articles based on prospective studies with representative samples of community-living elders identified predictors by gender-specific multivariate analyses. RESULTS: Eleven studies were identified. We found gender differences in the prediction of NHP for marital status, living situation, housing and car availability and urinary incontinence. For both genders the risk of NHP did not differ substantially for age, functional impairment, cognitive impairment, dementia, and depression. The male to female ratio of admission rates ranged between 1 to 1.4 and 1 to 1.6. CONCLUSIONS: Only a few studies analyzed gender-specific predictors of NHP, probably owing to the associated statistical difficulties. However, gender differences in prediction of NHP do actually exist, and this should encourage further research activities in this area using appropriate statistical methods.
BACKGROUND: In recent decades a substantial number of studies have examined predictors of nursing home placement (NHP) in the elderly. This study provides a systematic review of gender-differences in predictors of NHP from population-based, longitudinal studies worldwide. METHODS: Relevant articles were identified by a systematic search of literature. The articles based on prospective studies with representative samples of community-living elders identified predictors by gender-specific multivariate analyses. RESULTS: Eleven studies were identified. We found gender differences in the prediction of NHP for marital status, living situation, housing and car availability and urinary incontinence. For both genders the risk of NHP did not differ substantially for age, functional impairment, cognitive impairment, dementia, and depression. The male to female ratio of admission rates ranged between 1 to 1.4 and 1 to 1.6. CONCLUSIONS: Only a few studies analyzed gender-specific predictors of NHP, probably owing to the associated statistical difficulties. However, gender differences in prediction of NHP do actually exist, and this should encourage further research activities in this area using appropriate statistical methods.
Authors: Christina L Bell; Andrea Z LaCroix; Manisha Desai; Haley Hedlin; Stephen R Rapp; Crystal Cene; Jyoti Savla; Tetyana Shippee; Sylvia Wassertheil-Smoller; Marcia L Stefanick; Kamal Masaki Journal: J Stroke Cerebrovasc Dis Date: 2015-07-10 Impact factor: 2.136
Authors: Margaret G Stineman; Dawei Xie; Joel E Streim; Qiang Pan; Jibby E Kurichi; John T Henry-Sánchez; Zi Zhang; Debra Saliba Journal: Arch Phys Med Rehabil Date: 2012-04-05 Impact factor: 3.966
Authors: Emanuele Rocco Villani; Davide Liborio Vetrano; Rosa Liperoti; Katie Palmer; Michael Denkinger; Henriëtte G van der Roest; Roberto Bernabei; Graziano Onder Journal: Aging Clin Exp Res Date: 2021-02-15 Impact factor: 3.636
Authors: André Hajek; Christian Brettschneider; Carolin Lange; Tina Posselt; Birgitt Wiese; Susanne Steinmann; Siegfried Weyerer; Jochen Werle; Michael Pentzek; Angela Fuchs; Janine Stein; Tobias Luck; Horst Bickel; Edelgard Mösch; Michael Wagner; Frank Jessen; Wolfgang Maier; Martin Scherer; Steffi G Riedel-Heller; Hans-Helmut König Journal: PLoS One Date: 2015-12-14 Impact factor: 3.240