Shukurah Omowunmi ABDULKAREEM, Public Health - Kwara State University, 2020

Sawmill workers in Nigeria are exposed to numerous hazards and are at risk of various health problems. This necessitates an urgent need for occupational risk assessment and risk control measures that will ameliorate health status of concern individual.

Islamiyyat Olabisi SALIMON, Environmental Management and Toxicology - Kwara State University, 2023

The study examined the air parameters which are PM2.5 PM10, and TVOC. Evaluation of air quality monitoring data demonstrated that all emissions from charcoal kilns exceeded the prescribed limit during production as stipulated by WHO (1995). Charcoal production is found to contribute to the high levels of PM2.5 PM10, and TVOC. The charcoal workers who work within close proximity to charcoal kilns are subjected to high emissions generating a potential health risk. Traditional charcoal kilns use highly inefficient technology and release significant amounts of air emissions. Based on the empirically reviewed work, the study concludes that charcoal production has significant effect on air quality. Priority should be given to the establishment of air monitoring stations in all urban centers of the country in order to provide accurate and continuous information on air quality. The study therefore recommended that adoption of efficient modern charcoal p

Oluwatimileyin Odunogo ADEDOTUN, Public Health - Kwara State University, 2020

Associations between body mass index (BMI) and blood pressure (BP) have been consistently observed, but remain poorly understood. One unresolved question is whether there is a linear relationship across the entire BMI range (Halsted, 2001). Epidemiological investigations have been hindered by several factors. The association, however consistent, is rather modest in magnitude, and large sample sizes are therefore required in order to make estimates with any degree of certainty. Furthermore, the use of BMI has been questioned because percent body fat, absolute fat mass and body-fat distribution, or other relevant biological quantities, may not be linearly related to BMI across the entire range of possible values or across different population subgroups. Finally, the effect of treatment in many populations truncates the distribution of blood pressures and therefore reduces the correlation that would be observed between BMI and blood pressure in untreated settings. (Lee, et al. 2011).