Volume 14, Number 1 (4-2017)                   ioh 2017, 14(1): 47-56 | Back to browse issues page


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zamanian Z, honarbakhsh M, jabari Z. Survey of muscle fatigue for using MFA method and determination of some risk factors musculoskeletal disorders among tailors in Shiraz, 2015. ioh. 2017; 14 (1) :47-56
URL: http://ioh.iums.ac.ir/article-1-1694-en.html

) Associate Professor school of health , zamanianz@sums.ac.ir
Abstract:   (785 Views)

Background and aims: In the tailoring occupation, the tailors take different posture for performing the activities such as sewing and repair of clothes. In this job, several factors such as physical, individual and mental factors can be affected on the awkward postures of the persons during the work. Therefore they are exposed to the risk the musculoskeletal disorders. The present study aimed to evaluate muscle fatigue and to determine some of the risk factors of musculoskeletal disorders.

Methods: This cross-sectional study was conducted on 165 tailors randomly selected in Shiraz. The required data were collected by using demographic characteristics, Nordic and general health questionnaires, and Muscle Fatigue Assessment (MFA) method. Then, the data were entered into the SPSS statistical software, version 21 and were analyzed using logistic regression and chi-square test .

Results: Most of the study participants were male (79.4%) and married (75.2%). The highest prevalence of the musculoskeletal disorders symptoms were reported in the lower back (57%). Also, the highest percentage of the individuals placed in the action level 3 (high) based on the MFA method, was related to the lower back. In this study 63.6% of individuals had general health.

Conclusion: Marital status, posture, mental health, and working experience  were the most important variables remained  in the logistic regression model with an odds ratio were of greater than 1.21 in Tailors.

Full-Text [PDF 337 kb]   (233 Downloads)    
Type of Study: Research | Subject: Ergonomics
Received: 2015/12/31 | Accepted: 2016/10/4 | Published: 2017/05/31

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