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Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility

BACKGROUND: To review the validated instruments that assess gait, balance, and functional mobility to predict falls in older adults across different settings. METHODS: Umbrella review of narrative- and systematic reviews with or without meta-analyses of all study types. Reviews that focused on older...

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Autores principales: Beck Jepsen, D., Robinson, K., Ogliari, G., Montero-Odasso, M., Kamkar, N., Ryg, J., Freiberger, E., Tahir, Masud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310405/
https://www.ncbi.nlm.nih.gov/pubmed/35879666
http://dx.doi.org/10.1186/s12877-022-03271-5
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author Beck Jepsen, D.
Robinson, K.
Ogliari, G.
Montero-Odasso, M.
Kamkar, N.
Ryg, J.
Freiberger, E.
Tahir, Masud
author_facet Beck Jepsen, D.
Robinson, K.
Ogliari, G.
Montero-Odasso, M.
Kamkar, N.
Ryg, J.
Freiberger, E.
Tahir, Masud
author_sort Beck Jepsen, D.
collection PubMed
description BACKGROUND: To review the validated instruments that assess gait, balance, and functional mobility to predict falls in older adults across different settings. METHODS: Umbrella review of narrative- and systematic reviews with or without meta-analyses of all study types. Reviews that focused on older adults in any settings and included validated instruments assessing gait, balance, and functional mobility were included. Medical and allied health professional databases (MEDLINE, PsychINFO, Embase, and Cochrane) were searched from inception to April 2022. Two reviewers undertook title, abstract, and full text screening independently. Review quality was assessed through the Risk of Bias Assessment Tool for Systematic Reviews (ROBIS). Data extraction was completed in duplicate using a standardised spreadsheet and a narrative synthesis presented for each assessment tool. RESULTS: Among 2736 articles initially identified, 31 reviews were included; 11 were meta-analyses. Reviews were primarily of low quality, thus at high risk of potential bias. The most frequently reported assessments were: Timed Up and Go, Berg Balance Scale, gait speed, dual task assessments, single leg stance, functional Reach Test, tandem gait and stance and the chair stand test. Findings on the predictive ability of these tests were inconsistent across the reviews. CONCLUSIONS: In conclusion, we found that no single gait, balance or functional mobility assessment in isolation can be used to predict fall risk in older adults with high certainty. Moderate evidence suggests gait speed can be useful in predicting falls and might be included as part of a comprehensive evaluation for older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03271-5.
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spelling pubmed-93104052022-07-26 Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility Beck Jepsen, D. Robinson, K. Ogliari, G. Montero-Odasso, M. Kamkar, N. Ryg, J. Freiberger, E. Tahir, Masud BMC Geriatr Research BACKGROUND: To review the validated instruments that assess gait, balance, and functional mobility to predict falls in older adults across different settings. METHODS: Umbrella review of narrative- and systematic reviews with or without meta-analyses of all study types. Reviews that focused on older adults in any settings and included validated instruments assessing gait, balance, and functional mobility were included. Medical and allied health professional databases (MEDLINE, PsychINFO, Embase, and Cochrane) were searched from inception to April 2022. Two reviewers undertook title, abstract, and full text screening independently. Review quality was assessed through the Risk of Bias Assessment Tool for Systematic Reviews (ROBIS). Data extraction was completed in duplicate using a standardised spreadsheet and a narrative synthesis presented for each assessment tool. RESULTS: Among 2736 articles initially identified, 31 reviews were included; 11 were meta-analyses. Reviews were primarily of low quality, thus at high risk of potential bias. The most frequently reported assessments were: Timed Up and Go, Berg Balance Scale, gait speed, dual task assessments, single leg stance, functional Reach Test, tandem gait and stance and the chair stand test. Findings on the predictive ability of these tests were inconsistent across the reviews. CONCLUSIONS: In conclusion, we found that no single gait, balance or functional mobility assessment in isolation can be used to predict fall risk in older adults with high certainty. Moderate evidence suggests gait speed can be useful in predicting falls and might be included as part of a comprehensive evaluation for older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03271-5. BioMed Central 2022-07-25 /pmc/articles/PMC9310405/ /pubmed/35879666 http://dx.doi.org/10.1186/s12877-022-03271-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Beck Jepsen, D.
Robinson, K.
Ogliari, G.
Montero-Odasso, M.
Kamkar, N.
Ryg, J.
Freiberger, E.
Tahir, Masud
Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility
title Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility
title_full Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility
title_fullStr Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility
title_full_unstemmed Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility
title_short Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility
title_sort predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310405/
https://www.ncbi.nlm.nih.gov/pubmed/35879666
http://dx.doi.org/10.1186/s12877-022-03271-5
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