Literature DB >> 22768452

Evaluation of musculoskeletal disorders in sewing machine operators of a shoe manufacturing factory in Iran.

Mir Masih Moslemi Aghili1, Hasan Asilian, Parinaz Poursafa.   

Abstract

INTRODUCTION: A 15-year research conducted in USA showed that compensation expenses paid to workers for musculoskeletal disorders (MSDs) of back exceeded 128 million Dollars calculated on the basis of 0.97 Dollars per hour of work. In addition, according to the latest studies carried out in relation with disease burdens with risk factors in Iran, DALYs indices for low back pain, knee arthrosis and other musculoskeletal disorders have been reported to be 307772, 291305 and 872633 respectively, which have caused the work related diseases to occupy the second position in the country, after cardiovascular diseases. On the other hand, in accordance with occupational health indices of Iranian health ministry, 37% of all working population had had poor work postures with 15% of all working population had been working with inappropriate working tools in the year 2009.
METHODS: This was a case study comparing exposed workers with control group using Standard Nordic Questionnair in sewing machine operators of a shoe manufacturing factory in Iran. In this study, the mentioned questionnaires were filled out for the exposed group (25 sewing machine operators with average age of 43.5 years with work records of 16.8 years) and control group (15 employees from administrative department with average age of 39.8 years with work records of 13.4 years) which both were selected through simple random method.
RESULTS: There were statistically significant differences in age between musculoskeletal disorders of right elbow (p = 0.033), thigh (p = 0.044), both knees (p = 0.019) and ankles (p = 0.039). There were also statistically significant association between gender and musculoskeletal disorders of right elbow (p = 0.028), thigh (p = 0.026) both knees (p = 0.011); right shoulder disorders (p = 0.018) and work records; disorders of both knees (p = 0.031) and number of cigarettes smoked.
CONCLUSIONS: In general, prevalence of disorders of cervical area, shoulders with hands, vertebral column, back, knees, thigh with feet were higher in exposed group due to poor work posture. Meanwhile, female workers were inflicted more than males. On the other hand, these disorders were seen more with increased work records and age in which, improvement of work postures, training for better execution of tasks and conducting periodic screening tests are being recommended.

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Mesh:

Year:  2012        PMID: 22768452

Source DB:  PubMed          Journal:  J Pak Med Assoc        ISSN: 0030-9982            Impact factor:   0.781


  4 in total

1.  Prevalence of Musculoskeletal Disorders among Sewing Machine Workers in a Leather Industry.

Authors:  Vadivelan Kanniappan; Vignesh Palani
Journal:  J Lifestyle Med       Date:  2020-07-31

2.  Psychosocial Factors and Musculoskeletal Pain Among Rural Hand-woven Carpet Weavers in Iran.

Authors:  Reza Chaman; Roqayeh Aliyari; Farideh Sadeghian; Javad Vatani Shoaa; Mahmood Masoudi; Shiva Zahedi; Mohammad A Bakhshi
Journal:  Saf Health Work       Date:  2015-02-07

3.  Environmental and organizational factors associated with elbow/forearm and hand/wrist disorder among sewing machine operators of garment industry in Ethiopia.

Authors:  Wakjira Kebede Deyyas; Ararso Tafese
Journal:  J Environ Public Health       Date:  2014-09-15

4.  "The dead shall be raised": Multidisciplinary analysis of human skeletons reveals complexity in 19th century immigrant socioeconomic history and identity in New Haven, Connecticut.

Authors:  Gary P Aronsen; Lars Fehren-Schmitz; John Krigbaum; George D Kamenov; Gerald J Conlogue; Christina Warinner; Andrew T Ozga; Krithivasan Sankaranarayanan; Anthony Griego; Daniel W DeLuca; Howard T Eckels; Romuald K Byczkiewicz; Tania Grgurich; Natalie A Pelletier; Sarah A Brownlee; Ana Marichal; Kylie Williamson; Yukiko Tonoike; Nicholas F Bellantoni
Journal:  PLoS One       Date:  2019-09-09       Impact factor: 3.240

  4 in total

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