Prevalence of Job-Related Injuries among Construction Workers in Eastern Region, Saudi Arabia

Autor: Muna Faisal Alnaim, Sultan T. Al Otaibi, Hassan Abugad, Kyle Humphrey, Phillip Harber, Mary Kay O’Rourke, Abdulrahman Al Naeem
Rok vydání: 2022
Zdroj: Journal of Pharmaceutical Research International. :1-7
ISSN: 2456-9119
DOI: 10.9734/jpri/2022/v34i15a35687
Popis: The aim of the study was to detect the prevalence of work-related Musculoskeletal Injuries among construction workers, to evaluate injury-related sick leave, and identify factors contributing to injury. the study was conducted and distributed to Saudi construction companies in three cities in the eastern region and 201 workers were approached and 149 were enrolled in the study. Jobs were categorized based on level of impact and jobs with similar levels were grouped together. Multiple Regression was used to evaluate stress categories and a cluster analysis was run on scaled and normalized types of stress and pain to identify factors closely associated with sick days taken. The results showed a response rate of 74.1%. A univariate analysis was used, and it demonstrated a 75.2% pain in upper and lower extremities, 61.7% pain was reported in upper extremities (Shoulder and Neck > Wrists and Hands > Elbow) and 12.8% pain reported in lower extremities (Lower back > Hips > Knees). In conclusion, the prevalence of work-related MSI in this large construction company was 75.2%. stratified multiple regression suggests job categories are good predictors of physical stress exposure and sick leave taken, also, the amount of force exerted, and vibration experienced by workers is closely linked to sick leave taken as well. Medium and high pain levels were linked to keyboard work, pushing / pulling, lifting and use of vibrating tools these workers would benefit from training emphasizing ergonomics and an explanation of proper techniques to handle tools. Lastly, applying new engineering controls would be helpful in the prevention of injuries that can minimize sick leave.
Databáze: OpenAIRE