Geochemical Study of Heavy Metal Contamination of Shalmanrud River Sediments

Today, the process of humanizing jobs so that the characteristics and working conditions are compatible with the psychological characteristics of employees, has been considered. Content of work and job design is one of the significant concepts in ergonomics, which is one of the impacts of job science and its analysis. The present study was designed to evaluate the reliability and validity of job design questionnaires and work context and then analyze their relationship with musculoskeletal disorders among employees working in the textile industry in Qom in 2019.

This is a cross-sectional and analytical study. The target population included employees working in the textile industry of Qom, of whom 252 people were included in the study using stratified sampling. The tools used in this study included four questionnaires: demographic, job design, work context, and body map questionnaires. In order to analyze and test the simultaneous correlation of the variables in this study, the multivariate analysis modeling technique of structural equations was used, during which the fit of the measurement model and the reliability of the structures were confirmed by examining the factor loads, Cronbach’s alpha coefficient, and the composite reliability, and its validity by calculating the Average Extracted Variance (AVE) of the convergence validity of the Fornell-Larcker models. This study used Smart PLS and SPSS software, v. 20 software for data analysis.

The results of descriptive statistical tests showed that among 252 employees, 74.6% were male, and 25.4% were female. The main variables, i.e., work context and job design and their subscales, had acceptable conditions in terms of validity and reliability. The relationship between job design and musculoskeletal disorders was significant (P<0.05).

The result of this study showed that the two Persian versions of the questionnaire, namely the work context questionnaire and the job design questionnaire, have good validity and reliability and can be used to assess working conditions in job environments, especially in Iranian industries.