Affiliations: [a] MAPNA Group, TUGA, Tehran, Iran
| [b] Department of Occupational Safety and Health Engineering, Faculty of Health, Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran
| [c] Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
Correspondence:
[*]
Address for correspondence: Mohsen Sadeghi-Yarandi, Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. E-mail: M-Sadeghiy@Alumnus.tums.ac.ir.
Abstract: BACKGROUND:Currently, proper assessment of the existing ergonomic hazards, focusing on improving the health of individuals, is of great importance. OBJECTIVE:This study aims to develop a new model for ergonomic index assessment in the workplace, focusing on physical, cognitive, and environmental components. METHODS:To determine the parameters to be measured for each group of occupations, the most critical indicators in each ergonomic dimension were identified using a review of scientific texts and obtaining expert opinions. The opinions of 30 experts were studied in three stages Delphi study. Cronbach’s alpha was used to calculate model reliability in SPSS version 25. An analytical hierarchy process was used to determine the weight values of each component and parameter. The weights were calculated in Expert Choice version 11. RESULTS:The mean CVI and CVR values were 0.92 and 0.80, respectively. Cronbach’s alpha values for each of the physical, environmental, and cognitive components and the entire model were 0.91, 0.87, 0.85, and 0.89, respectively. Physical components and parameters of physical condition during work, mental workload, lighting, and thermal stress in the workplace were among the most important parameters in the three groups of office, operational, and services jobs. CONCLUSION:The model can be a practical step toward properly evaluating the ergonomic components and planning to implement control measures to reduce physical, cognitive, and environmental risk factors. Considering the study of different variables in occupational ergonomic risk assessment, this model can be a helpful tool in ergonomic management systems used in different occupational environments.
