ABSTRACTBackground:People with dementia fall twice as often and have more serious fall-related injuries than healthy older adults. While gait impairment as a generic term is understood as a fall risk factor in this population, a clear elaboration of the specific components of gait that are associated with falls risk is needed for knowledge translation to clinical practice and the development of fall prevention strategies for people with dementia. OBJECTIVE: To review gait parameters and characteristics associated with falls in people with dementia. METHODS: Electronic databases CINAHL, EMBASE, MedLine, PsycINFO, and PubMed were searched (from inception to April 2017) to identify prospective cohort studies evaluating the association between gait and falls in people with dementia. RESULTS: Increased double support time variability, use of mobility aids, walking outdoors, higher scores on the Unified Parkinson's Disease Rating Scale, and lower average walking bouts were associated with elevated risk of any fall. Increased double support time and step length variability were associated with recurrent falls. The reviewed articles do not support using the Performance Oriented Mobility Assessment and the Timed Up-and-Go tests to predict any fall in this population. There is limited research on the use of dual-task gait assessments for predicting falls in people with dementia. CONCLUSION: This systematic review shows the specific spatiotemporal gait parameters and features that are associated with falls in people with dementia. Future research is recommended to focus on developing specialized treatment methods for these specific gait impairments in this patient population.
ABSTRACTBackground:People with dementia fall twice as often and have more serious fall-related injuries than healthy older adults. While gait impairment as a generic term is understood as a fall risk factor in this population, a clear elaboration of the specific components of gait that are associated with falls risk is needed for knowledge translation to clinical practice and the development of fall prevention strategies for people with dementia. OBJECTIVE: To review gait parameters and characteristics associated with falls in people with dementia. METHODS: Electronic databases CINAHL, EMBASE, MedLine, PsycINFO, and PubMed were searched (from inception to April 2017) to identify prospective cohort studies evaluating the association between gait and falls in people with dementia. RESULTS: Increased double support time variability, use of mobility aids, walking outdoors, higher scores on the Unified Parkinson's Disease Rating Scale, and lower average walking bouts were associated with elevated risk of any fall. Increased double support time and step length variability were associated with recurrent falls. The reviewed articles do not support using the Performance Oriented Mobility Assessment and the Timed Up-and-Go tests to predict any fall in this population. There is limited research on the use of dual-task gait assessments for predicting falls in people with dementia. CONCLUSION: This systematic review shows the specific spatiotemporal gait parameters and features that are associated with falls in people with dementia. Future research is recommended to focus on developing specialized treatment methods for these specific gait impairments in this patient population.
Authors: Helena M Blumen; Michele L Callisaya; Oshadi Jayakody; Monique Breslin; Richard Beare; Velandai K Srikanth Journal: Brain Topogr Date: 2021-04-29 Impact factor: 3.020
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Authors: Thanwarat Chantanachai; Morag E Taylor; Stephen R Lord; Jasmine Menant; Kim Delbaere; Perminder S Sachdev; Nicole A Kochan; Henry Brodaty; Daina L Sturnieks Journal: PeerJ Date: 2022-05-30 Impact factor: 3.061
Authors: Rebecca S Crow; Christian Haudenschild; Matthew C Lohman; Robert M Roth; Meredith Roderka; Travis Masterson; John Brand; Tyler Gooding; Todd A Mackenzie; John A Batsis Journal: J Am Geriatr Soc Date: 2021-02-10 Impact factor: 5.562
Authors: Ríona Mc Ardle; Stephanie Pratt; Christopher Buckley; Silvia Del Din; Brook Galna; Alan Thomas; Lynn Rochester; Lisa Alcock Journal: Front Bioeng Biotechnol Date: 2021-03-11