Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model
Objectives: Nowadays, ports are considered a portal for business as well as the main infrastructure for economic development worldwide. Genetic predisposition, work activity and procedures, and psychosocial preparedness are the main factors responsible for the occurrence of Work-Related Musculoskele...
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doaj-67cd9c38693b4d2cbe401f50d3eed1972020-11-24T22:16:29ZengNegah Institute for Scientific CommunicationIranian Rehabilitation Journal 1735-36021735-36102017-11-01154309316Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression ModelMohammad Khandan0Alireza Koohpaei1Mina Kohansal Aghchay2Mohammad Hossein Ebrahimi3Alireza Khammar4Shahram Arsang Jang5Mohsen Poursadeghiyan6 Department of Ergonomics, School of Health, Qom University of Medical Sciences, Qom, Iran. Department of Occupational Health Engineering, School of Health, Qom University of Medical Sciences, Qom, Iran. Department of Occupational Health Engineering, School of Health, Qom University of Medical Sciences, Qom, Iran. Environmental and Occupational Health Research Center, Shahroud University of Medical Sciences, Shahroud, Iran. Department of Occupational Health Engineering, Faculty of Health, Zabol University of Medical Sciences, Zabol, Iran. Department of Epidemiology and Biostatistics, School of Health, Qom University of Medical Sciences, Qom, Iran. Research Center in Emergency and Disaster Health, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. Objectives: Nowadays, ports are considered a portal for business as well as the main infrastructure for economic development worldwide. Genetic predisposition, work activity and procedures, and psychosocial preparedness are the main factors responsible for the occurrence of Work-Related Musculoskeletal Disorders (WRMSDs). The present study aimed to assess psychosocial variables affecting WMSDs in an Iranian port in 2015. Methods: All workers of a port (n=60) located in the south of Iran were included in the present study. Job burnout and safety climate were assessed by MBI and SCQ, respectively. In addition, musculoskeletal disorders were reported by body map questionnaire. Data analysis was performed by ANOVA, logistic regression analysis, Pearson correlation, and t-test using SPSS V20. Results: Based on the obtained data, 40 workers (66.7%) experienced musculoskeletal pain in at least one part of their bodies in the previous year. Also, job burnout score was 76.17±8.9 and safety climate was 188.7±23.07. Logistic regression revealed that job burnout, emotional fatigue (P<0.05), safety attitude, and emergency management are the most important predictors of WRMSDs. Discussion: Psychological factors of workplaces include job burnout, employees’ attitude and safety climate that negatively affect ergonomic disorders. Since psychological and psycho-social issues are neglected in developing countries such as Iran, the researchers anticipate that the obtained results can be used as a guideline for policymakers as well as in the supportive and preventive arena for managing safety and health issues.http://irj.uswr.ac.ir/browse.php?a_code=A-10-547-1&slc_lang=en&sid=1Mental Health Safety culture Musculoskeletal diseases Port Iran |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohammad Khandan Alireza Koohpaei Mina Kohansal Aghchay Mohammad Hossein Ebrahimi Alireza Khammar Shahram Arsang Jang Mohsen Poursadeghiyan |
spellingShingle |
Mohammad Khandan Alireza Koohpaei Mina Kohansal Aghchay Mohammad Hossein Ebrahimi Alireza Khammar Shahram Arsang Jang Mohsen Poursadeghiyan Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model Iranian Rehabilitation Journal Mental Health Safety culture Musculoskeletal diseases Port Iran |
author_facet |
Mohammad Khandan Alireza Koohpaei Mina Kohansal Aghchay Mohammad Hossein Ebrahimi Alireza Khammar Shahram Arsang Jang Mohsen Poursadeghiyan |
author_sort |
Mohammad Khandan |
title |
Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model |
title_short |
Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model |
title_full |
Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model |
title_fullStr |
Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model |
title_full_unstemmed |
Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model |
title_sort |
assessing the factors predicting work-related musculoskeletal disorders among iranian port’s personnel using regression model |
publisher |
Negah Institute for Scientific Communication |
series |
Iranian Rehabilitation Journal |
issn |
1735-3602 1735-3610 |
publishDate |
2017-11-01 |
description |
Objectives: Nowadays, ports are considered a portal for business as well as the main infrastructure for economic development worldwide. Genetic predisposition, work activity and procedures, and psychosocial preparedness are the main factors responsible for the occurrence of Work-Related Musculoskeletal Disorders (WRMSDs). The present study aimed to assess psychosocial variables affecting WMSDs in an Iranian port in 2015.
Methods: All workers of a port (n=60) located in the south of Iran were included in the present study. Job burnout and safety climate were assessed by MBI and SCQ, respectively. In addition, musculoskeletal disorders were reported by body map questionnaire. Data analysis was performed by ANOVA, logistic regression analysis, Pearson correlation, and t-test using SPSS V20.
Results: Based on the obtained data, 40 workers (66.7%) experienced musculoskeletal pain in at least one part of their bodies in the previous year. Also, job burnout score was 76.17±8.9 and safety climate was 188.7±23.07. Logistic regression revealed that job burnout, emotional fatigue (P<0.05), safety attitude, and emergency management are the most important predictors of WRMSDs.
Discussion: Psychological factors of workplaces include job burnout, employees’ attitude and safety climate that negatively affect ergonomic disorders. Since psychological and psycho-social issues are neglected in developing countries such as Iran, the researchers anticipate that the obtained results can be used as a guideline for policymakers as well as in the supportive and preventive arena for managing safety and health issues. |
topic |
Mental Health Safety culture Musculoskeletal diseases Port Iran |
url |
http://irj.uswr.ac.ir/browse.php?a_code=A-10-547-1&slc_lang=en&sid=1 |
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