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: Fateme H. Abdolahi, Ali S. Variani, Sakineh Varmazyar
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/5d6b77d873224882ba03c460cfc056ab
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spelling oai:doaj.org-article:5d6b77d873224882ba03c460cfc056ab2021-11-30T04:15:36ZPredicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions2093-791110.1016/j.shaw.2021.07.009https://doaj.org/article/5d6b77d873224882ba03c460cfc056ab2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2093791121000627https://doaj.org/toc/2093-7911Background: 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.Fateme H. AbdolahiAli S. VarianiSakineh VarmazyarElsevierarticleAnthropometryConstructionDynamicWorkerBalancePublic aspects of medicineRA1-1270ENSafety and Health at Work, Vol 12, Iss 4, Pp 511-516 (2021)
institution DOAJ
collection DOAJ
language EN
topic Anthropometry
Construction
Dynamic
Worker
Balance
Public aspects of medicine
RA1-1270
spellingShingle Anthropometry
Construction
Dynamic
Worker
Balance
Public aspects of medicine
RA1-1270
Fateme H. Abdolahi
Ali S. Variani
Sakineh Varmazyar
Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
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.
format article
author Fateme H. Abdolahi
Ali S. Variani
Sakineh Varmazyar
author_facet Fateme H. Abdolahi
Ali S. Variani
Sakineh Varmazyar
author_sort Fateme H. Abdolahi
title 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_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_sort predicting ability of dynamic balance in construction workers based on demographic information and anthropometric dimensions
publisher Elsevier
publishDate 2021
url https://doaj.org/article/5d6b77d873224882ba03c460cfc056ab
work_keys_str_mv AT fatemehabdolahi predictingabilityofdynamicbalanceinconstructionworkersbasedondemographicinformationandanthropometricdimensions
AT alisvariani predictingabilityofdynamicbalanceinconstructionworkersbasedondemographicinformationandanthropometricdimensions
AT sakinehvarmazyar predictingabilityofdynamicbalanceinconstructionworkersbasedondemographicinformationandanthropometricdimensions
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