Timed up and go test combined with self-rated multifactorial questionnaire on falls risk and sociodemographic factors predicts falls among community-dwelling older adults better than the timed up and go test on its own
Authors Ibrahim A, Singh DKA, Shahar S, Omar MA
Received 24 May 2017
Accepted for publication 25 August 2017
Published 26 October 2017 Volume 2017:10 Pages 409—416
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
Azianah Ibrahim,1,2 Devinder Kaur Ajit Singh,1 Suzana Shahar,3 Mohd Azahadi Omar4
1Physiotherapy Programme, School of Rehabilitation Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 2Pantai Integrated Rehab Services Sendirian Berhad, Pandan Indah, 3Community Rehabilitation and Ageing Research Centre, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 4Institute for Public Health, Ministry of Health, Kuala Lumpur, Malaysia
Background: Early detection of falls risk among older adults using simple tools may assist in fall prevention strategies. The aim of this study was to identify the best parameters associated with previous falls, either the timed up and go (TUG) test combined with sociodemographic factors and a self-rated multifactorial questionnaire (SRMQ) on falls risk or the TUG on its own. Falls risk was determined based on parameters associated with previous falls.
Design: This was a retrospective cohort study.
Setting: The study was conducted in a community setting.
Participants: The participants were 1,086 community-dwelling older adults, with mean age of 69.6±5.6 years. Participants were categorized into fallers and nonfallers based on their history of falls in the past 12 months.
Method: Participants’ sociodemographic data was taken, and SRMQ consisting of five falls-related questions was administered. Participants performed the TUG test twice, and the mean was taken as the result.
Results: A total of 161 participants were categorized as fallers (14.8%). Multivariate logistic regression analysis showed that the model (χ2(6)=61.0, p<0.001, Nagelkerke R2=0.10) consisting of the TUG test, sociodemographic factors (gender, cataract/glaucoma and joint pain), as well as the SRMQ items “previous falls history” (Q1) and “worried of falls” (Q5), was more robust in terms of falls risk association compared to that with TUG on its own (χ2(1)=10.3, p<0.001, Nagelkerke R2=0.02).
Conclusion: Combination of sociodemographic factors and SRMQ with TUG is more favorable as an initial falls risk screening tool among community-dwelling older adults. Subsequently, further comprehensive falls risk assessment may be performed in clinical settings to identify the specific impairments for effective management.
Keywords: falls, screening, multifactorial, community, older adults
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