Occupational injury prevalence and predictors among small-scale sawmill workers in the Sokoban Wood Village, Kumasi, Ghana

Felix Agyemang Opoku, Douglas Aninng Opoku, Nana Kwame Ayisi-Boateng, Joseph Osarfo, Alhassan Sulemana, Sheneil Agyemang, Obed Kwabena Offe Amponsah, Michael Tetteh Asiedu, Robert Gyebi and Peter Agyei-Baffour

PLOS ONE, 2024, vol. 19, issue 4, 1-14

Abstract: Background: Sawmill workers are at increased risk of occupational injuries due to their exposure to workplace hazards. However, little is known about the burden of occupational injuries among them in Ghana. Understanding its prevalence and associated factors is necessary to design appropriate interventions to improve workers’ health and safety. This study sought to determine the prevalence and factors associated with occupational injuries among small-scale sawmill workers at Sokoban Wood Village, Kumasi. Methods: A cross-sectional study was conducted among 138 small-scale sawmill workers from December 2020 to January 2021. Data was collected on demographic and work-related characteristics including age, sex, personal protective equipment (PPE), workspace design, and lighting. The primary outcome was the prevalence of occupational injuries in the 12 months preceding the survey. Logistic regression method was used to assess for independent predictors of occupational injuries, and associations were deemed statistically significant at p

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0298954

DOI: 10.1371/journal.pone.0298954

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