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Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults

One-third of older adults have maladaptive fall risk appraisal (FRA), a condition in which there is a discrepancy between perceived fall risk or levels of fear of falling (FOF) and physiological fall risk (balance performance). We aimed to examine the associations among FRA, body composition, and ph...

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Autores principales: Thiamwong, Ladda, Xie, Rui, Choudhury, Renoa, Park, Joon-Hyuk, Garcia, Oscar, Rossler, Aleatha, Stout, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681775/
http://dx.doi.org/10.1093/geroni/igab046.3565
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author Thiamwong, Ladda
Xie, Rui
Choudhury, Renoa
Park, Joon-Hyuk
Garcia, Oscar
Rossler, Aleatha
Stout, Jeffrey
author_facet Thiamwong, Ladda
Xie, Rui
Choudhury, Renoa
Park, Joon-Hyuk
Garcia, Oscar
Rossler, Aleatha
Stout, Jeffrey
author_sort Thiamwong, Ladda
collection PubMed
description One-third of older adults have maladaptive fall risk appraisal (FRA), a condition in which there is a discrepancy between perceived fall risk or levels of fear of falling (FOF) and physiological fall risk (balance performance). We aimed to examine the associations among FRA, body composition, and physical activity (PA) using Assistive Health Technology, including the Bioelectrical Impedance Analysis, BTrackS Balance System, and activity monitoring devices. We evaluated 124 older adults with a mean age of 74.81 (SD=7.31, range 60 to 96), 77% were female, and 72% had no history of falls. The multinomial logistic regression was used to analyze the data. FRA was classified into 4 quadrants, and we found 47% of rational FRA (low FOF and normal balance), 19% of incongruent FRA (low FOF despite poor balance), 18% of irrational FRA (high FOF despite normal balance), and 16% congruent FRA (high FOF and poor balance). We found these following variables are associated with FRA: accelerometer-based moderate to vigorous physical activity (MVPA: mins), self-reported PA score (strength & flexibility), had difficulty walking up 10 steps without resting (resistance), had difficulty walking several city blocks (ambulation), left-hand average handgrip strength, CDC fall risk score, Senior Technology Acceptance (STA) score and body composition including Body Fat Mass (BFM), Percent Body Fat (PBF), Body Mass Index (BMI), Whole Body Phase Angle, Skeletal Muscle Mass (SMM) and Skeletal Muscle Index (SMI). Our results support the efficacy of using Assistive Health Technology on screening individuals with maladaptive FRA with targeted interventions to reduce fall risk.
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spelling pubmed-86817752021-12-20 Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults Thiamwong, Ladda Xie, Rui Choudhury, Renoa Park, Joon-Hyuk Garcia, Oscar Rossler, Aleatha Stout, Jeffrey Innov Aging Abstracts One-third of older adults have maladaptive fall risk appraisal (FRA), a condition in which there is a discrepancy between perceived fall risk or levels of fear of falling (FOF) and physiological fall risk (balance performance). We aimed to examine the associations among FRA, body composition, and physical activity (PA) using Assistive Health Technology, including the Bioelectrical Impedance Analysis, BTrackS Balance System, and activity monitoring devices. We evaluated 124 older adults with a mean age of 74.81 (SD=7.31, range 60 to 96), 77% were female, and 72% had no history of falls. The multinomial logistic regression was used to analyze the data. FRA was classified into 4 quadrants, and we found 47% of rational FRA (low FOF and normal balance), 19% of incongruent FRA (low FOF despite poor balance), 18% of irrational FRA (high FOF despite normal balance), and 16% congruent FRA (high FOF and poor balance). We found these following variables are associated with FRA: accelerometer-based moderate to vigorous physical activity (MVPA: mins), self-reported PA score (strength & flexibility), had difficulty walking up 10 steps without resting (resistance), had difficulty walking several city blocks (ambulation), left-hand average handgrip strength, CDC fall risk score, Senior Technology Acceptance (STA) score and body composition including Body Fat Mass (BFM), Percent Body Fat (PBF), Body Mass Index (BMI), Whole Body Phase Angle, Skeletal Muscle Mass (SMM) and Skeletal Muscle Index (SMI). Our results support the efficacy of using Assistive Health Technology on screening individuals with maladaptive FRA with targeted interventions to reduce fall risk. Oxford University Press 2021-12-17 /pmc/articles/PMC8681775/ http://dx.doi.org/10.1093/geroni/igab046.3565 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Thiamwong, Ladda
Xie, Rui
Choudhury, Renoa
Park, Joon-Hyuk
Garcia, Oscar
Rossler, Aleatha
Stout, Jeffrey
Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults
title Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults
title_full Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults
title_fullStr Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults
title_full_unstemmed Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults
title_short Associations among Fall Risk Appraisal, Body Composition, and Physical Activity in Older Adults
title_sort associations among fall risk appraisal, body composition, and physical activity in older adults
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681775/
http://dx.doi.org/10.1093/geroni/igab046.3565
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