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Showing 2 results for Cornell Questionnaire

Majid Motamedzade, Asghar Payoon, Rashid Heydari Moghaddam3, Javad Fradmal, Mohammad Babamiri, Payam Heydari,
Volume 5, Issue 1 (6-2017)
Abstract

Introduction: Muscle-skeletal disorders are one of the most common job-related disorders in industrial workplaces due to different reasons. The current study performed an ergonomic assessment using the key indicator index (KIM) in order to reduce injuries in the bottle-making salon of one of the detergent-producing industries of Qazvin province.

Methods: This study was an interventional study and consisted of 25 workers and was done in a bottle-making salon of one of the detergent-producing industries, during year 2016. For data collection, the Cornell questionnaire and key indicator index assessment method were used before and after the ergonomic interventions. Data was analyzed by descriptive analytical tests using the SPSS 16 software.

Results: According to the results, in the bottle production task (risk score: 4), the risk score decreased significantly by redesign (risk score: 2). Also, regarding the bottle's material, supply task that workers used to do it by manual material handling (risk score: 3), by redesign, risk score decreased significantly (risk score: 1).

Conclusions: In this study, musculoskeletal disorders decreased meaningfully by workstation ergonomic redesign after 5 months from the intervention.


Zohreh Goudarzi, Sara Izadi, Abbas Seifollah Zade, Roghayyeh Hassanzadeh, Neda Mahdavi,
Volume 11, Issue 4 (1-2024)
Abstract

Objectives: Musculoskeletal disorders are among the health challenges for faculty members, affecting their performance and work-related quality of life. The present study aimed to investigate the relationship between these disorders and the ergonomic features of their workstations.
Methods: This research was conducted among 22 faculty members after obtaining informed consent and using a census method. The prevalence of disorders was assessed using the Cornell questionnaire, and the evaluation of the workstation was performed using the Rapid Office Strain Assessment (ROSA) method. Then, 14 anthropometric dimensions (differentiated by gender) were measured, and 13 workstation characteristics were assessed. Finally, 11 criteria were used for anthropometric fitness evaluation. Moreover, data analysis was carried out using SPSS software (version 26).
Results: Approximately 46% of the participants had experienced pain and discomfort in one of the musculoskeletal areas, with the wrist, neck, shoulder, and lower back being the most affected areas, respectively. The ROSA results indicated that 22.73% of the participants' workstations required ergonomic improvements. The most significant mismatches were found in the criteria of 1) trunk length-chair backrest length, 2) thigh thickness in a seated position-distance between thighs and desk, and 3) shoulder width-chair seat width.
Conclusion: The signs of a connection between the high prevalence of musculoskeletal disorders and the lack of anthropometric compatibility/inadequate knowledge among faculty members in the field of ergonomics were observed. This issue underscores the importance of considering ergonomic/anthropometric characteristics of office desks and chairs during the procurement of office supplies and emphasizes the need to enhance ergonomics knowledge.


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