Volume 12, Issue 1 (3-2022)
J Health Saf Work 2022, 12(1): 189-203 |
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Heydari Abdolahi F, Safari Variani A, Soleimanabadi M, Varmazyar S. Predicting the Percentage of Sway Index from the Static Balance Based on the Anthropometric Dimensions of Construction Workers. J Health Saf Work 2022; 12 (1) :189-203
URL: http://jhsw.tums.ac.ir/article-1-6641-en.html
URL: http://jhsw.tums.ac.ir/article-1-6641-en.html
1- Department of Occupational Health Engineering, Faculty of Health, Qazvin University of Medical Sciences, Qazvin, Iran
2- Department 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 ,svarmazyar@qums.ac.ir
2- Department 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 ,
Abstract: (2059 Views)
Introduction: The purpose of the current study was to predict the percentage of the sway index from the static balance point based on the anthropometric dimensions of construction workers.
Material and Methods: This descriptive-analytical study was conducted on 114 construction workers. First, the construction workers were asked to complete the demographic questionnaire and the inclusion criteria were determined. Then, the anthropometric dimensions were measured. Afterward, the static balance of participants was assessed with their open eyes and standing position using a Stabilometer device. The obtained data were analyzed using Pearson correlation and multiple linear regression.
Results: 29.8% of construction workers were in weak and very weak classes in terms of static balance. The Pearson and spearman’s correlation coefficient showed a significant relationship between age, weight, and sway index of individuals. In addition, multiple linear regression showed that age, weight, and foot surface of construction workers can predict the percentage of the sway index from the static balance point among construction workers.
Conclusion: The results of the current study indicated that demographic information such as age, anthropometric parameters of weight, and foot surface are effective factors on static balance in a healthy construction workers’ community with a normal body mass index.
Material and Methods: This descriptive-analytical study was conducted on 114 construction workers. First, the construction workers were asked to complete the demographic questionnaire and the inclusion criteria were determined. Then, the anthropometric dimensions were measured. Afterward, the static balance of participants was assessed with their open eyes and standing position using a Stabilometer device. The obtained data were analyzed using Pearson correlation and multiple linear regression.
Results: 29.8% of construction workers were in weak and very weak classes in terms of static balance. The Pearson and spearman’s correlation coefficient showed a significant relationship between age, weight, and sway index of individuals. In addition, multiple linear regression showed that age, weight, and foot surface of construction workers can predict the percentage of the sway index from the static balance point among construction workers.
Conclusion: The results of the current study indicated that demographic information such as age, anthropometric parameters of weight, and foot surface are effective factors on static balance in a healthy construction workers’ community with a normal body mass index.
Type of Study: Research |
Received: 2022/03/6 | Accepted: 2022/03/30 | Published: 2022/03/30
Received: 2022/03/6 | Accepted: 2022/03/30 | Published: 2022/03/30
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