@article{10.11648/j.jher.20241003.11,
  author = {Getahun Legesse and Feyisa Shasho Bayisa and Samson Wakuma Abaya and Teferi Abegaz and Olira Legesse Tadesse},
  title = {Prevalence of Work Related Musculoskeletal Disorders and Associated Factors Among Coffee Processing Factory Workers in Addis Ababa and Gelan City in Ethiopia, 2023
},
  journal = {Journal of Health and Environmental Research},
  volume = {10},
  number = {3},
  pages = {52-64},
  doi = {10.11648/j.jher.20241003.11},
  url = {https://doi.org/10.11648/j.jher.20241003.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jher.20241003.11},
  abstract = {Background: Globally, work-related musculoskeletal disorders (WRMSDs) account for around 40% of the total compensated cost of occupational diseases and injuries. It has a huge impact on the public health problems and economic loss of the society. There was few information about prevalence and risk factors for musculoskeletal diseases associated with job among coffee processors in Ethiopia. Objective: The study aimed to assess the prevalence and associated factors of work-related musculoskeletal disorders among coffee processing factory workers. Methods: A cross-sectional study was utilized to assess the prevalence of work-related musculoskeletal disorders from March to June-2023. Data were collected by face-to-face interview using a standardized Nordic questionnaire. Simple random sampling method was used to select 633 of study participants. EPInfo version 7.1 was used to enter and cleaned up the data and exported into SPSS version 23 software for further statistical analysis. Bivariable and multivariable logistic regression analysis were used to determine potential predictors of MSDs. Results: The prevalence of work-related musculoskeletal disorders over the course of a year was 529 (83.6%). The limbs (64.5%) and shoulders (64.5%) were most commonly affected, followed by the neck (61.8%), upper back (60.2%), lower back (54.0%), and hands (51.2%). The final multivariate logistic regression analysis revealed that male [AOR: 1.8, 95%CI: 1.1, 2.9], married [AOR: 2.2, 95%CI: 1.3, 3.8], physical activity habit [AOR: 2.2, 95%CI: 1.1, 4.2], work-related stress [AOR: 2.0, 95%CI: 1.3, 3.4], health and safety training [AOR: 2.6, 95%CI: 1.1, 5.9], working hours [AOR: 3.0, 95%CI: 1.2, 7.5] and repetitive work [AOR: 2.0, 95%CI: 1.1, 3.5] were found to be statistically significant associating factors with work-related musculoskeletal disorders. Conclusion: In this study the prevalence of work related musculoskeletal disorder was high. Sex, marital status, habit of doing physical exercise, job related stress, work hours, health and safety training work place were statistically significant factors to work related musculoskeletal disorder.
},
 year = {2024}
}

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TY  - JOUR
T1  - Prevalence of Work Related Musculoskeletal Disorders and Associated Factors Among Coffee Processing Factory Workers in Addis Ababa and Gelan City in Ethiopia, 2023

AU  - Getahun Legesse
AU  - Feyisa Shasho Bayisa
AU  - Samson Wakuma Abaya
AU  - Teferi Abegaz
AU  - Olira Legesse Tadesse
Y1  - 2024/08/15
PY  - 2024
N1  - https://doi.org/10.11648/j.jher.20241003.11
DO  - 10.11648/j.jher.20241003.11
T2  - Journal of Health and Environmental Research
JF  - Journal of Health and Environmental Research
JO  - Journal of Health and Environmental Research
SP  - 52
EP  - 64
PB  - Science Publishing Group
SN  - 2472-3592
UR  - https://doi.org/10.11648/j.jher.20241003.11
AB  - Background: Globally, work-related musculoskeletal disorders (WRMSDs) account for around 40% of the total compensated cost of occupational diseases and injuries. It has a huge impact on the public health problems and economic loss of the society. There was few information about prevalence and risk factors for musculoskeletal diseases associated with job among coffee processors in Ethiopia. Objective: The study aimed to assess the prevalence and associated factors of work-related musculoskeletal disorders among coffee processing factory workers. Methods: A cross-sectional study was utilized to assess the prevalence of work-related musculoskeletal disorders from March to June-2023. Data were collected by face-to-face interview using a standardized Nordic questionnaire. Simple random sampling method was used to select 633 of study participants. EPInfo version 7.1 was used to enter and cleaned up the data and exported into SPSS version 23 software for further statistical analysis. Bivariable and multivariable logistic regression analysis were used to determine potential predictors of MSDs. Results: The prevalence of work-related musculoskeletal disorders over the course of a year was 529 (83.6%). The limbs (64.5%) and shoulders (64.5%) were most commonly affected, followed by the neck (61.8%), upper back (60.2%), lower back (54.0%), and hands (51.2%). The final multivariate logistic regression analysis revealed that male [AOR: 1.8, 95%CI: 1.1, 2.9], married [AOR: 2.2, 95%CI: 1.3, 3.8], physical activity habit [AOR: 2.2, 95%CI: 1.1, 4.2], work-related stress [AOR: 2.0, 95%CI: 1.3, 3.4], health and safety training [AOR: 2.6, 95%CI: 1.1, 5.9], working hours [AOR: 3.0, 95%CI: 1.2, 7.5] and repetitive work [AOR: 2.0, 95%CI: 1.1, 3.5] were found to be statistically significant associating factors with work-related musculoskeletal disorders. Conclusion: In this study the prevalence of work related musculoskeletal disorder was high. Sex, marital status, habit of doing physical exercise, job related stress, work hours, health and safety training work place were statistically significant factors to work related musculoskeletal disorder.

VL  - 10
IS  - 3
ER  - 

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