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http://hdl.handle.net/10397/28224
Title: | Impaired executive function can predict recurrent falls in Parkinson's disease | Authors: | Mak, MK Wong, A Pang, MY |
Issue Date: | Dec-2014 | Source: | Archives of physical medicine and rehabilitation, Dec. 2014, v. 95, no. 12, p. 2390-2395 | Abstract: | Objective:
To examine whether impairment in executive function independently predicts recurrent falls in people with Parkinson's disease (PD). Design: Prospective cohort study. Setting: University motor control research laboratory. Participants: A convenience sample of community-dwelling people with PD (N=144) was recruited from a patient self-help group and movement disorders clinics. Interventions: Not applicable. Main Outcome Measures: Executive function was assessed with the Mattis Dementia Rating Scale Initiation/Perseveration (MDRS-IP) subtest, and fear of falling (FoF) with the Activities-specific Balance Confidence (ABC) Scale. All participants were followed up for 12 months to record the number of monthly fall events. Results: Forty-two people with PD had at least 2 falls during the follow-up period and were classified as recurrent fallers. After accounting for demographic variables and fall history (P=.001), multiple logistic regression analysis showed that the ABC scores (P=.014) and MDRS-IP scores (P=.006) were significantly associated with future recurrent falls among people with PD. The overall accuracy of the prediction was 85.9%. With the use of the significant predictors identified in multiple logistic regression analysis, a prediction model determined by the logistic function was generated: Z = 1.544 + .378 (fall history) − .045 (ABC) − .145 (MDRS-IP). Results: Forty-two people with PD had at least 2 falls during the follow-up period and were classified as recurrent fallers. After accounting for demographic variables and fall history (P=.001), multiple logistic regression analysis showed that the ABC scores (P=.014) and MDRS-IP scores (P=.006) were significantly associated with future recurrent falls among people with PD. The overall accuracy of the prediction was 85.9%. With the use of the significant predictors identified in multiple logistic regression analysis, a prediction model determined by the logistic function was generated: Z = 1.544 + .378 (fall history) − .045 (ABC) − .145 (MDRS-IP). |
Keywords: | Accidental falls Executive function Parkinson disease Prospective study Rehabilitation |
Publisher: | W.B. Saunders | Journal: | Archives of physical medicine and rehabilitation | ISSN: | 0003-9993 | EISSN: | 1532-821X | DOI: | 10.1016/j.apmr.2014.08.006 | Rights: | © 2014 by the American Congress of Rehabilitation Medicine © 2014. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The following publication Mak, M. K., Wong, A., & Pang, M. Y. (2014). Impaired executive function can predict recurrent falls in Parkinson's disease. Archives of physical medicine and rehabilitation, 95(12), 2390-2395 is available at https://dx.doi.org/10.1016/j.apmr.2014.08.006 |
Appears in Collections: | Journal/Magazine Article |
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