Showing 2 results for Zokaei
Azam Biabani, Mojtaba Zokaei, Mohsen Falahati, Shahla Ziamanesh,
Volume 5, Issue 3 (july 2021)
Abstract
Background: This study aimed to investigate the association between demographic, social, and economic factors of employees and hearing loss. Methods: In this cross-sectional study, the required data were extracted from the periodic medical examination of 987 workers in an automotive industry. Kruskal-Wallis and Mann-Whitney tests were used to study the associations. The data were analyzed in the SPSS software. Results: In this study, most of the subjects were in the age group of 30-49 years and also had less than 10 years of working experience. In terms of education level, most of them had a diploma. The relationship between work experience and hearing loss indicated profound hearing loss among a workers with 10 to 20 years of work experience. According to age, the subjects over the age of 55 years had the highest prevalence of hearing loss (p = 0.04). Conclusion: Age and work experience, education, income, and type of job are among the factors that could predict the at risk population for hearing loss.
Maryam Rafiee, Mojtaba Zokaei, Mohaddese Bayat Marzijarani, Negar Safarpour Khotbesara,
Volume 7, Issue 1 (12-2023)
Abstract
Background: Nowadays, a large proportion of work-related activities are performed manually, which has led to an increase in the prevalence of musculoskeletal disorders (MSDs). This study aims to assess the risk of manual material handling (MMH) and estimate the prevalence of MSDs among workers in rice mills in the northern part of the country. Methods: The study was conducted on 100 workers employed in 36 rice mills in Gilan Province using the census method. The Nordic questionnaire was used to determine the prevalence of musculoskeletal disorders, while the NIOSH equation, Snook table, KIM-LHC and MAC assessment methods were used to evaluate the risk of related activities. Data were then analysed using chi-squared test and Spss23 software. Results: The results of the KIM-LHC and MAC lifting methods showed a high prevalence of musculoskeletal disorders in the lower limb during lifting. Similarly, there was a statistically significant relationship (P=0.001 and P=0.002) between the Mac and Snook lifting methods. However, there was no significant relationship between the Niosh method and either the Kim-LHC or Mac-Lifting methods (P=0.10 and P=0.28). Conclusion: The results of the risk assessment using different methods showed a consistent and critical condition of the working environment in the rice mills studied. Therefore, it is imperative to take the necessary engineering and management control measures to improve the working conditions.
