Cargando…
Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity
One-third of older adults have a discrepancy between perceived and physiological fall risks or maladaptive fall risk appraisal (FRA). Older adults who report high fear of falling and overestimate their physiological fall risk are less likely to participate in physical activity (PA). Limited data sug...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679286/ http://dx.doi.org/10.1093/geroni/igab046.100 |
_version_ | 1784616486330957824 |
---|---|
author | Thiamwong, Ladda Park, Joon-Hyuk Choudhury, Renoa Garcia, Oscar Furtado, Maxine Stallworth, Nicole Stout, Jeffrey |
author_facet | Thiamwong, Ladda Park, Joon-Hyuk Choudhury, Renoa Garcia, Oscar Furtado, Maxine Stallworth, Nicole Stout, Jeffrey |
author_sort | Thiamwong, Ladda |
collection | PubMed |
description | One-third of older adults have a discrepancy between perceived and physiological fall risks or maladaptive fall risk appraisal (FRA). Older adults who report high fear of falling and overestimate their physiological fall risk are less likely to participate in physical activity (PA). Limited data suggest the interrelation between fall risk appraisal, body composition, and objective measured PA. This cross-sectional study examines the feasibility of recruitment and acceptability of Assistive Health Technology (AHT), including the BTrackS Balance System (BBS), Bioelectrical Impedance Analysis (InBody s10), and ActiGraph GT9X Link wireless activity monitor. This study demonstrates the benefits of using AHT to study the associations among FRA, body composition, and PA in older adults. We hypothesize that rational FRA is associated with higher levels of PA and skeletal muscle mass and lower levels of percent of body fat and body mass index. Topics presentation included research protocol and preliminary results. |
format | Online Article Text |
id | pubmed-8679286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86792862021-12-17 Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity Thiamwong, Ladda Park, Joon-Hyuk Choudhury, Renoa Garcia, Oscar Furtado, Maxine Stallworth, Nicole Stout, Jeffrey Innov Aging Abstracts One-third of older adults have a discrepancy between perceived and physiological fall risks or maladaptive fall risk appraisal (FRA). Older adults who report high fear of falling and overestimate their physiological fall risk are less likely to participate in physical activity (PA). Limited data suggest the interrelation between fall risk appraisal, body composition, and objective measured PA. This cross-sectional study examines the feasibility of recruitment and acceptability of Assistive Health Technology (AHT), including the BTrackS Balance System (BBS), Bioelectrical Impedance Analysis (InBody s10), and ActiGraph GT9X Link wireless activity monitor. This study demonstrates the benefits of using AHT to study the associations among FRA, body composition, and PA in older adults. We hypothesize that rational FRA is associated with higher levels of PA and skeletal muscle mass and lower levels of percent of body fat and body mass index. Topics presentation included research protocol and preliminary results. Oxford University Press 2021-12-17 /pmc/articles/PMC8679286/ http://dx.doi.org/10.1093/geroni/igab046.100 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 Park, Joon-Hyuk Choudhury, Renoa Garcia, Oscar Furtado, Maxine Stallworth, Nicole Stout, Jeffrey Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity |
title | Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity |
title_full | Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity |
title_fullStr | Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity |
title_full_unstemmed | Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity |
title_short | Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity |
title_sort | using assistive health technology to assess fall risk appraisal, body composition, and physical activity |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679286/ http://dx.doi.org/10.1093/geroni/igab046.100 |
work_keys_str_mv | AT thiamwongladda usingassistivehealthtechnologytoassessfallriskappraisalbodycompositionandphysicalactivity AT parkjoonhyuk usingassistivehealthtechnologytoassessfallriskappraisalbodycompositionandphysicalactivity AT choudhuryrenoa usingassistivehealthtechnologytoassessfallriskappraisalbodycompositionandphysicalactivity AT garciaoscar usingassistivehealthtechnologytoassessfallriskappraisalbodycompositionandphysicalactivity AT furtadomaxine usingassistivehealthtechnologytoassessfallriskappraisalbodycompositionandphysicalactivity AT stallworthnicole usingassistivehealthtechnologytoassessfallriskappraisalbodycompositionandphysicalactivity AT stoutjeffrey usingassistivehealthtechnologytoassessfallriskappraisalbodycompositionandphysicalactivity |