Exploring multisite musculoskeletal symptoms among sewing machine operators in a tunisian leather and footwear industry using decision tree models

• Egile Nagusiak: Nehla Rmadi (Egilea), Imen Sellami (Egilea), Afef Feki (Egilea), Kaouthar Jmal Hammami (Egilea), Mohamed Larbi Masmoudi (Egilea), Mounira Hajjaji (Egilea)
• Formatua: Liburua
• Argitaratua: Elsevier, 2024-05-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Background/objectives: Sewing machine operators (SMO) are the most likely workers to experience a high prevalence of musculoskeletal disorders in the textile, clothing, and footwear industries. We conducted a cross-sectional and exhaustive study among SMO working in the leather and footwear industry...