BACKGROUND: A dual-task tool with a challenging and daily secondary task, which involves executive functions, could facilitate the screening for risk of falls in older people with mild cognitive impairment or mild Alzheimer's disease. OBJECTIVE: To verify if a motor-cognitive dual-task test could predict falls in older people with mild cognitive impairment or mild Alzheimer's disease, and to establish cutoff scores for the tool for both groups. METHODS: A prospective study was conducted with community-dwelling older adults, including 40 with mild cognitive impairment and 38 with mild Alzheimer's disease. The dual-task test consisted of the Timed up and Go Test associated with a motor-cognitive task using a phone to call. Falls were recorded during six months by calendar and monthly telephone calls and the participants were categorized as fallers or non-fallers. RESULTS: In the Mild cognitive impairment Group, fallers presented higher values in time (35.2s), number of steps (33.7 steps) and motor task cost (116%) on dual-task compared to non-fallers. Time, number of steps and motor task cost were significantly associated with falls in people with mild cognitive impairment. Multivariate analysis identified higher number of steps spent on the test to be independently associated with falls. A time greater than 23.88s (sensitivity=80%; specificity=61%) and a number of steps over 29.50 (sensitivity=65%; specificity=83%) indicated prediction of risk of falls in the Mild cognitive impairment Group. Among people with Alzheimer's disease, no differences in dual-task between fallers and non-fallers were found and no variable of the tool was able to predict falls. CONCLUSION: The dual-task predicts falls only in older people with mild cognitive impairment.
BACKGROUND: A dual-task tool with a challenging and daily secondary task, which involves executive functions, could facilitate the screening for risk of falls in older people with mild cognitive impairment or mild Alzheimer's disease. OBJECTIVE: To verify if a motor-cognitive dual-task test could predict falls in older people with mild cognitive impairment or mild Alzheimer's disease, and to establish cutoff scores for the tool for both groups. METHODS: A prospective study was conducted with community-dwelling older adults, including 40 with mild cognitive impairment and 38 with mild Alzheimer's disease. The dual-task test consisted of the Timed up and Go Test associated with a motor-cognitive task using a phone to call. Falls were recorded during six months by calendar and monthly telephone calls and the participants were categorized as fallers or non-fallers. RESULTS: In the Mild cognitive impairment Group, fallers presented higher values in time (35.2s), number of steps (33.7 steps) and motor task cost (116%) on dual-task compared to non-fallers. Time, number of steps and motor task cost were significantly associated with falls in people with mild cognitive impairment. Multivariate analysis identified higher number of steps spent on the test to be independently associated with falls. A time greater than 23.88s (sensitivity=80%; specificity=61%) and a number of steps over 29.50 (sensitivity=65%; specificity=83%) indicated prediction of risk of falls in the Mild cognitive impairment Group. Among people with Alzheimer's disease, no differences in dual-task between fallers and non-fallers were found and no variable of the tool was able to predict falls. CONCLUSION: The dual-task predicts falls only in older people with mild cognitive impairment.
Authors: Milena Sampaio Castelo; João M Coelho-Filho; André F Carvalho; José W O Lima; Jamile C S Noleto; Kérsia G Ribeiro; José I Siqueira-Neto Journal: Int Psychogeriatr Date: 2009-11-03 Impact factor: 3.878
Authors: Morag E Taylor; Kim Delbaere; A Stefanie Mikolaizak; Stephen R Lord; Jacqueline C T Close Journal: Gait Posture Date: 2012-07-23 Impact factor: 2.840
Authors: Morag E Taylor; Marjolein M Ketels; Kim Delbaere; Stephen R Lord; A Stefanie Mikolaizak; Jacqueline C T Close Journal: Age Ageing Date: 2012-05-09 Impact factor: 10.668
Authors: Luciana de Oliveira Assis; Jonas J de Paula; Marcella G Assis; Edgar N de Moraes; Leandro F Malloy-Diniz Journal: Front Aging Neurosci Date: 2014-09-25 Impact factor: 5.750
Authors: Jason K Longhurst; John V Rider; Jeffrey L Cummings; Samantha E John; Brach Poston; Elissa C Held Bradford; Merrill R Landers Journal: Neurorehabil Neural Repair Date: 2022-04-06 Impact factor: 4.895
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: Nada Hammouda; Christopher R Carpenter; William W Hung; Adriane Lesser; Sylviah Nyamu; Shan Liu; Cameron J Gettel; Aaron Malsch; Edward M Castillo; Savannah Forrester; Kimberly Souffront; Samuel Vargas; Elizabeth M Goldberg Journal: Acad Emerg Med Date: 2021-06-15 Impact factor: 3.451
Authors: He Zhou; Catherine Park; Mohammad Shahbazi; Michele K York; Mark E Kunik; Aanand D Naik; Bijan Najafi Journal: Gerontology Date: 2021-05-10 Impact factor: 5.597