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Showing 2 results for Jalilian

Farhad Ferasati, M.sadegh Sohrabi, Mohsen Jalilian,
Volume 1, Issue 3 (Journal of Ergonomics 2014)
Abstract

Introduction: Regarding the increasing growth in jobs dealing with computers and the development of musculoskeletal disorders (MSDs) among VDT users, the assessment and identification of ergonomic risk factors are of greater importance. This study aimed to evaluate MSDs among office VDT users.

Materials and Methods: This cross-sectional study was conducted on 71 participants (37 females and 34 males) selected randomly among administrative staff of Isfahan Art University. CMD questionnaire was used to assess the prevalence of MSDs and for measuring ergonomic risk factors ROSA method was employed in VDT stations.

Results: According to ROSA risk levels, 21% (15 participants) were at low risk (score of less than 3), 48% (34 participants) were in the notification area (score 3 to 5) and 31% (22 participants) were in the need area for ergonomic intervention (score of more than 5). Sex, body mass index, educational level and work experience had significant impacts on ROSA final score (p<0.001). There was a positive significant correlation between ROSA final score and MSDs in the participants (p<0.001, r=0.828).

Conclusion: With regard to the purpose of ROSA method for evaluating risk factors of working with computer in administrative and office settings and the finding of this study, it can be employed as a useful tool in identifying and ranking ergonomic risks in today office environments. Normal 0 false false false EN-US X-NONE AR-SA
Narmin Hassanzadeh-Rangi, Yahya Khosravi, Ali Asghar Farshad, Hamed Jalilian,
Volume 5, Issue 1 (Journal of Ergonomics 2017)
Abstract

Introduction: Metro driving is one of the newest jobs in Iran. Due to the lack of studies about train driversworkload, there is no comprehensive information about factors that effect workload. This study aimed at analyzing the factors that may effect driver workload, in order to recommend control measures.

Methods: In this mixed method study, data generation was done through field observations, document reviews, individual interviews, focus group interviews, and focus group discussions. In order to perform field data collection, the institute for occupational ergonomics and CCD Design and Ergonomics Ltds developed tools were used. Directed content analysis was used for qualitative data analysis.

Results: Overall, 65 factors were extracted as the factors that may effect driver workload. The extracted factors were drawn on a fishbone diagram, over 8 categories, including management, supervision and organizational climate, infrastructure, job design, journey, and environmental as distal factors and time pressure, information exchanges, and individual factors as proximal factors.

Conclusions: Some of the distal factors are the nature of an urban transport system, so the only amendment is compensatory programs, and some of them could be resolved by long-term plans. Workload of train drivers could be reduced with a focus on the proximal factors in the short-term, and the distal factors in the long-term.



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