Cargando…

Sarcopenia: Body Composition and Gait Analysis

BACKGROUND: Age-induced sarcopenia negatively affects walking stability and increases the risk of falls, which is the leading cause of accidental death in the elderly. OBJECTIVE: This study aimed to analyze and contrast body composition and gait characteristics in those with sarcopenia in relation t...

Descripción completa

Detalles Bibliográficos
Autores principales: Fan, Yuxuan, Zhang, Bo, Huang, Guohao, Zhang, Guoying, Ding, Zhiyuan, Li, Zhiyu, Sinclair, Jonathan, Fan, Yifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326397/
https://www.ncbi.nlm.nih.gov/pubmed/35912078
http://dx.doi.org/10.3389/fnagi.2022.909551
_version_ 1784757276127526912
author Fan, Yuxuan
Zhang, Bo
Huang, Guohao
Zhang, Guoying
Ding, Zhiyuan
Li, Zhiyu
Sinclair, Jonathan
Fan, Yifang
author_facet Fan, Yuxuan
Zhang, Bo
Huang, Guohao
Zhang, Guoying
Ding, Zhiyuan
Li, Zhiyu
Sinclair, Jonathan
Fan, Yifang
author_sort Fan, Yuxuan
collection PubMed
description BACKGROUND: Age-induced sarcopenia negatively affects walking stability and increases the risk of falls, which is the leading cause of accidental death in the elderly. OBJECTIVE: This study aimed to analyze and contrast body composition and gait characteristics in those with sarcopenia in relation to healthy controls to shed some light on the prevention of falls in elderly patients with sarcopenia. MATERIALS AND METHODS: In this study, 68 community dwellers were scanned by the Hologic QDR-4500A Dual-energy X-ray absorptiometry (DXA). The appendicular lean mass index (ALMI) results were used to distinguish the normal participants from those with sarcopenia: 24 in the sarcopenia group, and 44 into the normal group. The participants were asked to undergo gait analysis on a plantar pressure measurement system. Statistical analysis was conducted to contrast both groups' gait and butterfly parameters from their gait test, and then a gait forward dynamics method was performed to quantify the analysis for both groups. RESULTS: The ALMI of the female was not related to their age (r = 0.06) while that of the male was weakly related (r = 0.17). Body mass index (BMI) from both groups was normal, although with a statistically greater BMI from the normal group compared with sarcopenia (p < 0.001). Greater values and significant differences were found in step length and stride length from the normal elderly group (p < 0.01), and so was the length of the gait line and single support line (p < 0.05). Gait forward dynamics analysis results showed no motor neural or musculoskeletal disorders in their gait performance from the sarcopenia group. CONCLUSION: For the elderly, age did not largely affect the ALMI, BMI, or T-score, but BMI and ALMI were strongly correlated. In this study, significant differences were found in certain gait parameters between the elderly with sarcopenia and the normal elderly, which were related to absolute muscle strength, suggesting that sarcopenia was a disease mainly caused by decreased muscle mass. In addition, when abnormities were identified in step length, stride length, length of gait line, or length of single support line, it is proposed to take a DXA scan to confirm whether the elderly suffer from sarcopenia.
format Online
Article
Text
id pubmed-9326397
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-93263972022-07-28 Sarcopenia: Body Composition and Gait Analysis Fan, Yuxuan Zhang, Bo Huang, Guohao Zhang, Guoying Ding, Zhiyuan Li, Zhiyu Sinclair, Jonathan Fan, Yifang Front Aging Neurosci Aging Neuroscience BACKGROUND: Age-induced sarcopenia negatively affects walking stability and increases the risk of falls, which is the leading cause of accidental death in the elderly. OBJECTIVE: This study aimed to analyze and contrast body composition and gait characteristics in those with sarcopenia in relation to healthy controls to shed some light on the prevention of falls in elderly patients with sarcopenia. MATERIALS AND METHODS: In this study, 68 community dwellers were scanned by the Hologic QDR-4500A Dual-energy X-ray absorptiometry (DXA). The appendicular lean mass index (ALMI) results were used to distinguish the normal participants from those with sarcopenia: 24 in the sarcopenia group, and 44 into the normal group. The participants were asked to undergo gait analysis on a plantar pressure measurement system. Statistical analysis was conducted to contrast both groups' gait and butterfly parameters from their gait test, and then a gait forward dynamics method was performed to quantify the analysis for both groups. RESULTS: The ALMI of the female was not related to their age (r = 0.06) while that of the male was weakly related (r = 0.17). Body mass index (BMI) from both groups was normal, although with a statistically greater BMI from the normal group compared with sarcopenia (p < 0.001). Greater values and significant differences were found in step length and stride length from the normal elderly group (p < 0.01), and so was the length of the gait line and single support line (p < 0.05). Gait forward dynamics analysis results showed no motor neural or musculoskeletal disorders in their gait performance from the sarcopenia group. CONCLUSION: For the elderly, age did not largely affect the ALMI, BMI, or T-score, but BMI and ALMI were strongly correlated. In this study, significant differences were found in certain gait parameters between the elderly with sarcopenia and the normal elderly, which were related to absolute muscle strength, suggesting that sarcopenia was a disease mainly caused by decreased muscle mass. In addition, when abnormities were identified in step length, stride length, length of gait line, or length of single support line, it is proposed to take a DXA scan to confirm whether the elderly suffer from sarcopenia. Frontiers Media S.A. 2022-07-13 /pmc/articles/PMC9326397/ /pubmed/35912078 http://dx.doi.org/10.3389/fnagi.2022.909551 Text en Copyright © 2022 Fan, Zhang, Huang, Zhang, Ding, Li, Sinclair and Fan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Aging Neuroscience
Fan, Yuxuan
Zhang, Bo
Huang, Guohao
Zhang, Guoying
Ding, Zhiyuan
Li, Zhiyu
Sinclair, Jonathan
Fan, Yifang
Sarcopenia: Body Composition and Gait Analysis
title Sarcopenia: Body Composition and Gait Analysis
title_full Sarcopenia: Body Composition and Gait Analysis
title_fullStr Sarcopenia: Body Composition and Gait Analysis
title_full_unstemmed Sarcopenia: Body Composition and Gait Analysis
title_short Sarcopenia: Body Composition and Gait Analysis
title_sort sarcopenia: body composition and gait analysis
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326397/
https://www.ncbi.nlm.nih.gov/pubmed/35912078
http://dx.doi.org/10.3389/fnagi.2022.909551
work_keys_str_mv AT fanyuxuan sarcopeniabodycompositionandgaitanalysis
AT zhangbo sarcopeniabodycompositionandgaitanalysis
AT huangguohao sarcopeniabodycompositionandgaitanalysis
AT zhangguoying sarcopeniabodycompositionandgaitanalysis
AT dingzhiyuan sarcopeniabodycompositionandgaitanalysis
AT lizhiyu sarcopeniabodycompositionandgaitanalysis
AT sinclairjonathan sarcopeniabodycompositionandgaitanalysis
AT fanyifang sarcopeniabodycompositionandgaitanalysis