OBJECTIVES: To determine, in disabled, older, community-dwelling women who were hospitalized, the rates and predictors of functional decline, the probability and time course of subsequent functional recovery, and predictors of functional recovery. DESIGN: Population-based observational cohort. SETTING: Woman's Health and Aging Study. PARTICIPANTS: A subset of the 1,002 moderately to severely disabled community-dwelling older women who were hospitalized over 3 years (N=457). MEASUREMENTS: Functional decline and complete and partial recovery were defined using a 0 to 6 scale of dependencies in activities of daily living (ADLs) evaluated every 6 months over 3 years. Complete recovery was defined as returning to baseline function (function at visit immediately preceding hospitalization) after functional decline; partial recovery was defined as any improvement in the ADL scale after functional decline. Multiple logistic regression analysis was used to determine predictors of functional decline. Kaplan-Meier curves estimate the proportions recovering as a function of time since hospitalization. Discrete-time proportional hazards models regress the time-to-recovery hazards on the predictor variables. RESULTS: Thirty-three percent of hospitalized women experienced functional decline at the first visit after hospitalization. Frailty, longer length of stay, and higher education were associated with functional decline. Fifty percent fully recovered over the subsequent 30 months, with 33% recovering within 6 months and an additional 14% over the following 6 months. Younger women were more likely to recover (aged 80 to 70, hazard ratio=0.39, 95% confidence interval=0.24-0.64). CONCLUSION: Although most recovery of function occurs by 6 months after the first visit after a hospitalization, a substantial proportion of disabled community-dwelling women recover over the following 2 years.
OBJECTIVES: To determine, in disabled, older, community-dwelling women who were hospitalized, the rates and predictors of functional decline, the probability and time course of subsequent functional recovery, and predictors of functional recovery. DESIGN: Population-based observational cohort. SETTING:Woman's Health and Aging Study. PARTICIPANTS: A subset of the 1,002 moderately to severely disabled community-dwelling older women who were hospitalized over 3 years (N=457). MEASUREMENTS: Functional decline and complete and partial recovery were defined using a 0 to 6 scale of dependencies in activities of daily living (ADLs) evaluated every 6 months over 3 years. Complete recovery was defined as returning to baseline function (function at visit immediately preceding hospitalization) after functional decline; partial recovery was defined as any improvement in the ADL scale after functional decline. Multiple logistic regression analysis was used to determine predictors of functional decline. Kaplan-Meier curves estimate the proportions recovering as a function of time since hospitalization. Discrete-time proportional hazards models regress the time-to-recovery hazards on the predictor variables. RESULTS: Thirty-three percent of hospitalized women experienced functional decline at the first visit after hospitalization. Frailty, longer length of stay, and higher education were associated with functional decline. Fifty percent fully recovered over the subsequent 30 months, with 33% recovering within 6 months and an additional 14% over the following 6 months. Younger women were more likely to recover (aged 80 to 70, hazard ratio=0.39, 95% confidence interval=0.24-0.64). CONCLUSION: Although most recovery of function occurs by 6 months after the first visit after a hospitalization, a substantial proportion of disabled community-dwelling women recover over the following 2 years.
Authors: E M Simonsick; C E Maffeo; S K Rogers; E A Skinner; D Davis; J M Guralnik; L P Fried Journal: J Gerontol A Biol Sci Med Sci Date: 1997-09 Impact factor: 6.053
Authors: L P Fried; N O Borhani; P Enright; C D Furberg; J M Gardin; R A Kronmal; L H Kuller; T A Manolio; M B Mittelmark; A Newman Journal: Ann Epidemiol Date: 1991-02 Impact factor: 3.797
Authors: A W Wu; A M Damiano; J Lynn; C Alzola; J Teno; C S Landefeld; N Desbiens; J Tsevat; A Mayer-Oakes; F E Harrell; W A Knaus Journal: Ann Intern Med Date: 1995-03-01 Impact factor: 25.391
Authors: M A Sager; M A Rudberg; M Jalaluddin; T Franke; S K Inouye; C S Landefeld; H Siebens; C H Winograd Journal: J Am Geriatr Soc Date: 1996-03 Impact factor: 5.562
Authors: Paul T Reidy; Alec I McKenzie; Ziad S Mahmassani; Jonathan J Petrocelli; Daniel B Nelson; Catherine C Lindsay; James E Gardner; Vincent R Morrow; Alexandra C Keefe; Thomas B Huffaker; Greg J Stoddard; Gabrielle Kardon; Ryan M O'Connell; Micah J Drummond Journal: Am J Physiol Endocrinol Metab Date: 2019-04-09 Impact factor: 4.310
Authors: Barbara Riegel; Liming Huang; Mark E Mikkelsen; Ann Kutney-Lee; Alexandra L Hanlon; Christopher M Murtaugh; Kathryn H Bowles Journal: J Am Geriatr Soc Date: 2018-11-30 Impact factor: 5.562
Authors: Anne B Newman; Jason L Sanders; Jorge R Kizer; Robert M Boudreau; Michelle C Odden; Adina Zeki Al Hazzouri; Alice M Arnold Journal: Int J Epidemiol Date: 2016-06-06 Impact factor: 7.196
Authors: Karen Bandeen-Roche; Alden L Gross; Ravi Varadhan; Brian Buta; Michelle C Carlson; Megan Huisingh-Scheetz; Mara Mcadams-Demarco; Damani A Piggott; Todd T Brown; Rani K Hasan; Rita R Kalyani; Christopher L Seplaki; Jeremy D Walston; Qian-Li Xue Journal: J Gerontol A Biol Sci Med Sci Date: 2020-05-22 Impact factor: 6.053
Authors: Jo-Ana D Chase; Liming Huang; David Russell; Alexandra Hanlon; Melissa O'Connor; Keith M Robinson; Kathryn H Bowles Journal: J Aging Health Date: 2017-06-29
Authors: Arti Hurria; Enrique Soto-Perez-de-Celis; Jacob B Allred; Harvey Jay Cohen; Anait Arsenyan; Karla Ballman; Jennifer Le-Rademacher; Aminah Jatoi; Julie Filo; Jeanne Mandelblatt; Jacqueline M Lafky; Gretchen Kimmick; Heidi D Klepin; Rachel A Freedman; Harold Burstein; Julie Gralow; Antonio C Wolff; Gustav Magrinat; Myra Barginear; Hyman Muss Journal: J Am Geriatr Soc Date: 2018-08-26 Impact factor: 5.562