Assessing the Impact of Construction Site Factors on Perceived Public Health Challenges: A Logistic Regression Approach
Abstract
The study investigates the perceived health challenges faced by construction workers on occupational health. A logistic regression analysis was conducted on a data of 210 participant from a well-structured questionnaire on the likelihood of construction workers perceiving their work as having a significant impact on their health, based on the independent variables consisting of musculoskeletal disorder, noise induced hearing loss, fall and injuries, chemical exposure, respiratory problem, eye strain vision problem, work related stress, age of the participant, and years of experience with a dependent variable of perceived health challenges. The result indicates a significant model fit of omnibus test x2=149.534, df=67, p<0.001. the model explained a substantial proportion of variance in occupational health outcomes with cox & Snell R2=0.743, Nagelkerke R2=1.000. the Hosmer Lemeshow test indicated a good model fit with x2=0.000, df=7, p=1.000. x2=showed significant predicators of occupational health challenges. The study highlights the need for targeted interventions to address perceived health challenges and improve occupational workers outcomes among construction workers.
Keywords
Occupation, Health Hazard, Construction Sites, Perceived Health Problems
Citations
IRE Journals:
Ibiang Gladness Michael , Ujong Jesam Abam , Sarah G. S , Emmanuel O.E
"Assessing the Impact of Construction Site Factors on Perceived Public Health Challenges: A Logistic Regression Approach" Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 117-123
IEEE:
Ibiang Gladness Michael , Ujong Jesam Abam , Sarah G. S , Emmanuel O.E
"Assessing the Impact of Construction Site Factors on Perceived Public Health Challenges: A Logistic Regression Approach" Iconic Research And Engineering Journals, 8(5)
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