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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Main Authors: Fateme H. Abdolahi, Ali S. Variani, Sakineh Varmazyar
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Safety and Health at Work
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2093791121000627
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author Fateme H. Abdolahi
Ali S. Variani
Sakineh Varmazyar
author_facet Fateme H. Abdolahi
Ali S. Variani
Sakineh Varmazyar
author_sort Fateme H. Abdolahi
collection DOAJ
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 doaj.art-5d6b77d873224882ba03c460cfc056ab2023-09-02T21:34:38ZengElsevierSafety and Health at Work2093-79112021-12-01124511516Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric DimensionsFateme H. Abdolahi0Ali S. Variani1Sakineh Varmazyar2MSc of Occupational Health Engineering, Faculty of Health, Student Research Committee, Qazvin University of Medical Sciences, Qazvin, IranDepartment of Occupational Health Engineering, Faculty of Health, Qazvin University of Medical Sciences, Qazvin, IranDepartment of Occupational Health Engineering, Social Determinants Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Faculty of Health, Qazvin University of Medical Sciences, Qazvin, Iran; Corresponding author. Qazvin University of Medical Sciences, Shahid Bahonar Boulevard, Qazvin, 34199-15315, Iran.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.http://www.sciencedirect.com/science/article/pii/S2093791121000627AnthropometryConstructionDynamicWorkerBalance
spellingShingle Fateme H. Abdolahi
Ali S. Variani
Sakineh Varmazyar
Predicting Ability of Dynamic Balance in Construction Workers Based on Demographic Information and Anthropometric Dimensions
Safety and Health at Work
Anthropometry
Construction
Dynamic
Worker
Balance
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 Anthropometry
Construction
Dynamic
Worker
Balance
url http://www.sciencedirect.com/science/article/pii/S2093791121000627
work_keys_str_mv AT fatemehabdolahi predictingabilityofdynamicbalanceinconstructionworkersbasedondemographicinformationandanthropometricdimensions
AT alisvariani predictingabilityofdynamicbalanceinconstructionworkersbasedondemographicinformationandanthropometricdimensions
AT sakinehvarmazyar predictingabilityofdynamicbalanceinconstructionworkersbasedondemographicinformationandanthropometricdimensions