Sensorimotor, Cognitive, and Affective Functions Contribute to the Prediction of Falls in Old Age and Neurologic Disorders: An Observational Study.


Journal

Archives of physical medicine and rehabilitation
ISSN: 1532-821X
Titre abrégé: Arch Phys Med Rehabil
Pays: United States
ID NLM: 2985158R

Informations de publication

Date de publication:
05 2021
Historique:
received: 01 06 2020
revised: 22 10 2020
accepted: 30 10 2020
pubmed: 1 12 2020
medline: 2 6 2021
entrez: 30 11 2020
Statut: ppublish

Résumé

To determine whether impairments across cognitive and affective domains provide additional information to sensorimotor deficits for fall prediction among various populations. We pooled data from 5 studies for this observational analysis of prospective falls. Community or low-level care facility. Older people (N=1090; 74.0±9.4y; 579 female); 500 neurologically intact (NI) older people and 3 groups with neurologic disorders (cognitive impairment, n=174; multiple sclerosis (MS), n=111; Parkinson disease, n=305). None. Sensorimotor function was assessed with the Physiological Profile Assessment, cognitive function with tests of executive function, affect with questionnaires of depression, and concern about falling with falls efficacy questionnaires. These variables were associated with fall incidence rates, obtained prospectively over 6-12 months. Poorer sensorimotor function was associated with falls (incidence rate ratio [95% CI], 1.46 [1.28-1.66]). Impaired executive function was the strongest predictor of falls overall (2.91 [2.27-3.73]), followed by depressive symptoms (2.07 [1.56-2.75]) and concern about falling (2.02 [1.61-2.55]). Associations were similar among groups, except for a weaker relationship with executive impairment in NI persons and a stronger relationship with concern about falling in persons with MS. Multivariable analyses showed that executive impairment, poorer sensorimotor performance, depressive symptoms, and concern about falling were independently associated with falls. Deficits in cognition (executive function) and affect (depressive symptoms) and concern about falling are as important as sensorimotor function for fall prediction. These domains should be included in fall risk assessments for older people and clinical groups.

Identifiants

pubmed: 33253696
pii: S0003-9993(20)31256-9
doi: 10.1016/j.apmr.2020.10.134
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

874-880

Informations de copyright

Copyright © 2020 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Auteurs

Kimberley S van Schooten (KS)

Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, Australia; School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.

Morag E Taylor (ME)

Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, Australia; Prince of Wales Clinical School, Medicine, University of New South Wales, Sydney, Australia.

Jacqueline C T Close (JCT)

Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, Australia; Prince of Wales Clinical School, Medicine, University of New South Wales, Sydney, Australia.

Jennifer C Davis (JC)

Faculty of Management, University of British Columbia-Okanagan, Kelowna, British Columbia, Canada; Center for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada.

Serena S Paul (SS)

Faculty of Health Sciences, University of Sydney, Sydney Lidcombe, Sydney, New South Wales, Australia.

Colleen G Canning (CG)

Faculty of Health Sciences, University of Sydney, Sydney Lidcombe, Sydney, New South Wales, Australia.

Mark D Latt (MD)

Geriatric Medicine Department, University of Sydney, Royal Prince Alfred Hospital, Camperdown, Sydney, New South Wales, Australia.

Phu Hoang (P)

Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, Australia.

Nicole A Kochan (NA)

Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia.

Perminder S Sachdev (PS)

Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, New South Wales, Australia; Dementia Centre for Research Collaboration, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia.

Henry Brodaty (H)

Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia; Dementia Centre for Research Collaboration, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia.

Catherine M Dean (CM)

Department of Health Professions, Faculty of Medicine and Health Sciences, Macquarie University, Macquarie Park, Sydney, New South Wales, Australia.

Femke Hulzinga (F)

Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, Australia; Department of Rehabilitation Sciences, Biomedical Sciences Group, KU Leuven University, Leuven, Belgium.

Stephen R Lord (SR)

Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, Australia; School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.

Kim Delbaere (K)

Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, Australia; School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia. Electronic address: k.delbaere@neura.edu.au.

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Classifications MeSH