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Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions

BACKGROUND: Difficulties in walking and balance are risk factors for falling. This study aimed to predict dynamic balance based on demographic information and anthropometric dimensions in construction workers. METHODS: This descriptive-analytical study was conducted on 114 construction workers in 20...

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Autores principales: Abdolahi, Fateme H., Variani, Ali S., Varmazyar, Sakineh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Occupational Safety and Health Research Institute 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640614/
https://www.ncbi.nlm.nih.gov/pubmed/34900370
http://dx.doi.org/10.1016/j.shaw.2021.07.009
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author Abdolahi, Fateme H.
Variani, Ali S.
Varmazyar, Sakineh
author_facet Abdolahi, Fateme H.
Variani, Ali S.
Varmazyar, Sakineh
author_sort Abdolahi, Fateme H.
collection PubMed
description BACKGROUND: Difficulties in walking and balance are risk factors for falling. This study aimed to predict dynamic balance based on demographic information and anthropometric dimensions in construction workers. METHODS: This descriptive-analytical study was conducted on 114 construction workers in 2020. First, the construction workers were asked to complete the demographic questionnaire determined in order to be included in the study. Then anthropometric dimensions were measured. The dynamic balance of participants was also assessed using the Y Balance test kit. Dynamic balance prediction was performed based on demographic information and anthropometric dimensions using multiple linear regression with SPSS software version 25. RESULTS: The highest average normalized reach distances of YBT were in the anterior direction and were 92.23 ± 12.43% and 92.28 ± 9.26% for right and left foot, respectively. Both maximal and average normalized composite reach in the YBT in each leg were negatively correlated with leg length and navicular drop and positively correlated with the ratio of sitting height to leg length. In addition, multiple linear regressions showed that age, navicular drop, leg length, and foot surface could predict 23% of the variance in YBT average normalized composite reach of the right leg, and age, navicular drop, and leg length could predict 21% of that in the left leg among construction workers. CONCLUSION: Approximately one-fifth of the variability in the normalized composite reach of dynamic balance reach among construction workers using method YBT can be predicted by variables age, navicular drop, leg length, and foot surface.
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spelling pubmed-86406142021-12-10 Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions Abdolahi, Fateme H. Variani, Ali S. Varmazyar, Sakineh Saf Health Work Original Article BACKGROUND: Difficulties in walking and balance are risk factors for falling. This study aimed to predict dynamic balance based on demographic information and anthropometric dimensions in construction workers. METHODS: This descriptive-analytical study was conducted on 114 construction workers in 2020. First, the construction workers were asked to complete the demographic questionnaire determined in order to be included in the study. Then anthropometric dimensions were measured. The dynamic balance of participants was also assessed using the Y Balance test kit. Dynamic balance prediction was performed based on demographic information and anthropometric dimensions using multiple linear regression with SPSS software version 25. RESULTS: The highest average normalized reach distances of YBT were in the anterior direction and were 92.23 ± 12.43% and 92.28 ± 9.26% for right and left foot, respectively. Both maximal and average normalized composite reach in the YBT in each leg were negatively correlated with leg length and navicular drop and positively correlated with the ratio of sitting height to leg length. In addition, multiple linear regressions showed that age, navicular drop, leg length, and foot surface could predict 23% of the variance in YBT average normalized composite reach of the right leg, and age, navicular drop, and leg length could predict 21% of that in the left leg among construction workers. CONCLUSION: Approximately one-fifth of the variability in the normalized composite reach of dynamic balance reach among construction workers using method YBT can be predicted by variables age, navicular drop, leg length, and foot surface. Occupational Safety and Health Research Institute 2021-12 2021-07-21 /pmc/articles/PMC8640614/ /pubmed/34900370 http://dx.doi.org/10.1016/j.shaw.2021.07.009 Text en © 2021 Occupational Safety and Health Research Institute, Published by Elsevier Korea LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Abdolahi, Fateme H.
Variani, Ali S.
Varmazyar, Sakineh
Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
title Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
title_full Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
title_fullStr Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
title_full_unstemmed Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
title_short Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
title_sort predicting ability of dynamic balance in construction workers based on demographic information and anthropometric dimensions
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640614/
https://www.ncbi.nlm.nih.gov/pubmed/34900370
http://dx.doi.org/10.1016/j.shaw.2021.07.009
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