Background: Occupational health problems related to upper limp musculoskeletal disorders were the major issue among sewing machine operators of garment industries in Ethiopia. The aim of this study was to assess the prevalence and associated risk factors of work related neck and shoulder musculoskeletal disorders among sewing machine operators of garment industries in Galan City, Oromia Regional State. Methods: A cross-sectional study was conducted from April 1 to 30, 2013. A total of 422 study subjects were included in this study. Standard Nordic Musculoskeletal Questionnaire was used to collect detailed information on musculoskeletal symptoms, socio demographic data, and factors associated with the problems through face to face interview. Results: From a total of 422 sewing machine operators included in the study 370 (87.7%) were females and 306 (72.5%) were in the age group of < 30 years. The prevalence of self-reported work related neck and shoulder musculoskeletal disorders was 51.7% and 45%, respectively. In multivariate analysis, those who had >16 years of service were about four times more likely to develop neck and shoulder musculoskeletal disorders than those who had short (1–5 years) year of services [AOR = 3.55, 95% CI: 1.24–10.16], medical history of systemic illness [AOR = 2.04, 95% CI: 1.02–4.08], and methods of payment [AOR = 2.04, 95% CI: 1.27–3.29], factors significantly associated with this disorders. Conclusion: Work related neck and shoulder musculoskeletal disorders were high among sewing machine operators in selected garment industries. Moreover, personal and environmental factors were identified as the potential risk factors related to neck and shoulder musculoskeletal disorders among the study group. Therefore, government and the owner of the garment industries should give special attention to prevent and control the problems through proper occupational health and safety policy implementation in the country.
Published in | Science Journal of Public Health (Volume 2, Issue 6) |
DOI | 10.11648/j.sjph.20140206.22 |
Page(s) | 577-583 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Garment Industries, Neck, Shoulder, Musculoskeletal and Disorders
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APA Style
Ararso Tafese, Anisha Nega, Manay Kifle, Wakjira Kebede. (2014). Predictors of Occupational Exposure to Neck and Shoulder Musculoskeletal Disorders among Sewing Machine Operators of Garment Industries in Ethiopia. Science Journal of Public Health, 2(6), 577-583. https://doi.org/10.11648/j.sjph.20140206.22
ACS Style
Ararso Tafese; Anisha Nega; Manay Kifle; Wakjira Kebede. Predictors of Occupational Exposure to Neck and Shoulder Musculoskeletal Disorders among Sewing Machine Operators of Garment Industries in Ethiopia. Sci. J. Public Health 2014, 2(6), 577-583. doi: 10.11648/j.sjph.20140206.22
AMA Style
Ararso Tafese, Anisha Nega, Manay Kifle, Wakjira Kebede. Predictors of Occupational Exposure to Neck and Shoulder Musculoskeletal Disorders among Sewing Machine Operators of Garment Industries in Ethiopia. Sci J Public Health. 2014;2(6):577-583. doi: 10.11648/j.sjph.20140206.22
@article{10.11648/j.sjph.20140206.22, author = {Ararso Tafese and Anisha Nega and Manay Kifle and Wakjira Kebede}, title = {Predictors of Occupational Exposure to Neck and Shoulder Musculoskeletal Disorders among Sewing Machine Operators of Garment Industries in Ethiopia}, journal = {Science Journal of Public Health}, volume = {2}, number = {6}, pages = {577-583}, doi = {10.11648/j.sjph.20140206.22}, url = {https://doi.org/10.11648/j.sjph.20140206.22}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20140206.22}, abstract = {Background: Occupational health problems related to upper limp musculoskeletal disorders were the major issue among sewing machine operators of garment industries in Ethiopia. The aim of this study was to assess the prevalence and associated risk factors of work related neck and shoulder musculoskeletal disorders among sewing machine operators of garment industries in Galan City, Oromia Regional State. Methods: A cross-sectional study was conducted from April 1 to 30, 2013. A total of 422 study subjects were included in this study. Standard Nordic Musculoskeletal Questionnaire was used to collect detailed information on musculoskeletal symptoms, socio demographic data, and factors associated with the problems through face to face interview. Results: From a total of 422 sewing machine operators included in the study 370 (87.7%) were females and 306 (72.5%) were in the age group of 16 years of service were about four times more likely to develop neck and shoulder musculoskeletal disorders than those who had short (1–5 years) year of services [AOR = 3.55, 95% CI: 1.24–10.16], medical history of systemic illness [AOR = 2.04, 95% CI: 1.02–4.08], and methods of payment [AOR = 2.04, 95% CI: 1.27–3.29], factors significantly associated with this disorders. Conclusion: Work related neck and shoulder musculoskeletal disorders were high among sewing machine operators in selected garment industries. Moreover, personal and environmental factors were identified as the potential risk factors related to neck and shoulder musculoskeletal disorders among the study group. Therefore, government and the owner of the garment industries should give special attention to prevent and control the problems through proper occupational health and safety policy implementation in the country.}, year = {2014} }
TY - JOUR T1 - Predictors of Occupational Exposure to Neck and Shoulder Musculoskeletal Disorders among Sewing Machine Operators of Garment Industries in Ethiopia AU - Ararso Tafese AU - Anisha Nega AU - Manay Kifle AU - Wakjira Kebede Y1 - 2014/11/20 PY - 2014 N1 - https://doi.org/10.11648/j.sjph.20140206.22 DO - 10.11648/j.sjph.20140206.22 T2 - Science Journal of Public Health JF - Science Journal of Public Health JO - Science Journal of Public Health SP - 577 EP - 583 PB - Science Publishing Group SN - 2328-7950 UR - https://doi.org/10.11648/j.sjph.20140206.22 AB - Background: Occupational health problems related to upper limp musculoskeletal disorders were the major issue among sewing machine operators of garment industries in Ethiopia. The aim of this study was to assess the prevalence and associated risk factors of work related neck and shoulder musculoskeletal disorders among sewing machine operators of garment industries in Galan City, Oromia Regional State. Methods: A cross-sectional study was conducted from April 1 to 30, 2013. A total of 422 study subjects were included in this study. Standard Nordic Musculoskeletal Questionnaire was used to collect detailed information on musculoskeletal symptoms, socio demographic data, and factors associated with the problems through face to face interview. Results: From a total of 422 sewing machine operators included in the study 370 (87.7%) were females and 306 (72.5%) were in the age group of 16 years of service were about four times more likely to develop neck and shoulder musculoskeletal disorders than those who had short (1–5 years) year of services [AOR = 3.55, 95% CI: 1.24–10.16], medical history of systemic illness [AOR = 2.04, 95% CI: 1.02–4.08], and methods of payment [AOR = 2.04, 95% CI: 1.27–3.29], factors significantly associated with this disorders. Conclusion: Work related neck and shoulder musculoskeletal disorders were high among sewing machine operators in selected garment industries. Moreover, personal and environmental factors were identified as the potential risk factors related to neck and shoulder musculoskeletal disorders among the study group. Therefore, government and the owner of the garment industries should give special attention to prevent and control the problems through proper occupational health and safety policy implementation in the country. VL - 2 IS - 6 ER -