The Prevalence Rate of Work-Related Musculoskeletal Disorders Among Iranian Female Workers | Zendy

Alireza Choobineh | Zendy; Hadi Daneshmandi | Zendy; Seyed Hamidreza Tabatabaee | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Prevalence Rate of Work-Related Musculoskeletal Disorders Among Iranian Female Workers

Author(s) -

Alireza Choobineh,

Hadi Daneshmandi,

Seyed Hamidreza Tabatabaee

Publication year - 2015

Publication title -

women’s health bulletin

Language(s) - English

Resource type - Journals

eISSN - 2382-9990

pISSN - 2345-5136

DOI - 10.17795/whb27334

Subject(s) - shoulders , medicine , marital status , logistic regression , working hours , physical therapy , working time , demography , female sex , environmental health , work (physics) , surgery , population , mechanical engineering , engineering , labour economics , sociology , economics

analyzed. Data gathering tool consisted of 2 parts including: a) personal details and b) the General Nordic Questionnaire of Musculoskeletal symptoms (NMQ). Data were analyzed using statistical tests including Chi-square and multiple logistic regressions. Results: The results of NMQ showed that symptoms of musculoskeletal disorders (MSDs) in lower back (51.8%), shoulders (51.5%) and wrists/ hands (46.2%) were the most prevalent problem among the studied female workers. The results of multiple logistic regression showed a significant association between the prevalence of musculoskeletal disorders in different body regions with age, job tenure, daily working hours, type of activity (static and/or dynamic), working schedule (shift or day working) and marital status. Conclusions: Lower back, shoulders, and wrists/hands complaints were highly prevalent among studied female workers. Age, job tenure, daily working hours, type of activity, working schedule (shift or day working) and marital status were found to be associated with WMSDs among Iranian female workers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research