This study aimed to analyse the effectiveness of Personal Protective Equipment (PPE) in reducing occupational hazards at Uganda Clays Limited (UCL), with a focus on the level of PPE usage, its impact on workplace injuries, and the factors influencing compliance. Data was collected from 150 employees across different departments using a structured questionnaire, and both descriptive statistics and advanced statistical techniques such as chi-square tests and logistic regression were employed to assess the relationship between PPE usage and injury rates, as well as the factors affecting PPE compliance. The results showed that 60% of workers regularly used PPE, whereas 40% exhibited non-compliance, contributing to a reported injury rate of 26.7%. The chi- square test revealed a significant association between PPE usage and the reduction of injuries (χ² = 12.34, p = 0.003). Furthermore, the logistic regression analysis identified key factors influencing PPE compliance, including comfort, quality of PPE, awareness, and training, with comfort and quality being the most significant predictors of compliance. The study concluded that while PPE use significantly lowered the incidence of injuries, other factors such as the quality and comfort of PPE, along with worker training and awareness, played crucial roles in determining compliance levels. Additionally, it was found that PPE alone was not sufficient to eliminate injuries, particularly in high-risk departments like production, where hazards were more prevalent. This suggests that a broader safety approach, including enhanced workplace hazard management, regular equipment maintenance, and safety protocols tailored to specific job roles, is necessary to further reduce injuries. Based on these findings, the study recommended improving PPE quality and comfort, enhancing awareness and training programs, and adopting comprehensive safety measures, such as hazard control strategies, to ensure better worker safety and injury prevention at UCL. Key Words: Personal Protective Equipment (PPE) and Occupational Hazards

This study investigated the causal relationship between educational attainment and labor market outcomes using instrumental variable (IV) estimation and panel data methods to address endogeneity concerns. Drawing on data from the National Longitudinal Survey of Youth (NLSY97), which followed approximately 9,000 individuals from adolescence through mid-career, the research employed geographic proximity to colleges, state-level merit scholarship programs, and compulsory schooling laws as instruments for educational decisions. The IV analysis revealed that each additional year of education increased hourly wages by 13.2%, substantially higher than the 9.7% indicated by OLS estimates, suggesting that conventional approaches underestimated education's true returns. Significant heterogeneity in returns was observed across demographic groups, with traditionally underrepresented populations experiencing markedly higher benefits: women (14.9% versus 11.6% for men), racial/ethnic minorities (15.7-16.8% versus 11.2% for white respondents), and individuals from lower-income backgrounds (18.2% versus 9.3% for higher-income peers). Panel data analysis demonstrated that education's impact varied across career stages, with returns peaking during years 6-10 of labor market experience before gradually diminishing in later career phases. Beyond wage effects, education substantially improved multiple dimensions of labor market performance, including employment stability (+2.16 weeks employed annually per year of education), job tenure (+0.39 years), job satisfaction (+0.20 points on a 5-point scale), occupational prestige (+4.52 points), and access to benefits (+0.29 points on the benefits coverage index). These findings underscored that education yielded comprehensive labor market benefits extending beyond conventional wage returns, with particularly high marginal returns for disadvantaged groups, suggesting that targeted educational investments could serve as powerful mechanisms for reducing labor market inequalities while promoting both economic efficiency and social equity.

Background: Hypertension is an increasing public health concern in Uganda, with social determinants potentially playing a crucial role in its distribution. This study aimed to examine the relationship between socioeconomic status (SES) and hypertension among Ugandan adults, investigate potential mediating effects of lifestyle factors, and assess the moderating role of healthcare access. Methods: A cross-sectional study was conducted among 400 adults aged 18 years and above, selected through stratified random sampling from urban and rural areas in Uganda. Data were collected using structured questionnaires and blood pressure measurements. Binary logistic regression was employed to examine associations between SES indicators (education, income, employment) and hypertension, while mediation and moderation analyses were conducted to investigate pathways and effect modifications. Results: The prevalence of hypertension was 33% in the study population. Higher education level was significantly associated with lower odds of hypertension, with tertiary education conferring the strongest protective effect (AOR=0.41, 95% CI: 0.18-0.92, p=0.031). Higher income showed a protective trend, though this was attenuated after adjustment for confounders. Lifestyle factors significantly mediated the SES- hypertension relationship, with dietary patterns accounting for approximately 31% of the effect, physical activity 25%, and stress levels 14%. Healthcare access significantly moderated the protective effect of higher SES, with the combination of tertiary education and good healthcare access associated with 72% lower odds of hypertension (AOR=0.28, 95% CI: 0.11-0.73, p=0.009) compared to no formal education with poor access. Conclusion: Socioeconomic disparities significantly influenced hypertension prevalence among Ugandan adults, with education showing the strongest protective effect. These disparities were partially mediated by lifestyle factors and enhanced by healthcare access. Comprehensive interventions addressing both

This study investigated the challenges and opportunities in fecal sludge management (FSM) within Kampala, focusing on the role of Kampala Capital City Authority (KCCA) in managing the city’s sanitation system. A mixed-methods approach, combining surveys and key informant interviews, was employed to gather data from various stakeholders, including KCCA officials, sanitation service providers, and local community members. The study found that inadequate infrastructure, financial constraints, and poor stakeholder coordination were the primary barriers to effective FSM. Infrastructure deficits, such as the lack of adequate treatment facilities and transportation networks, were identified as the most significant challenges. Financial limitations were also found to impede the development of sustainable FSM systems, and poor coordination between stakeholders contributed to inefficiencies in FSM management. A logistic regression model revealed that factors such as infrastructure adequacy, stakeholder coordination, and financial resources were statistically significant predictors of FSM success, with improvements in these areas correlating to higher success rates. Despite these challenges, the study identified promising opportunities for FSM improvement, particularly through the adoption of decentralized treatment systems, community-based management approaches, and increased public- private partnerships. The study concluded that addressing the infrastructure gap, improving stakeholder coordination, and investing in decentralized solutions and capacity building were essential to improving FSM practices in Kampala. Based on these findings, the study recommended enhancing infrastructure development, strengthening coordination among stakeholders, and promoting decentralized systems as key strategies for improving FSM in the city. These recommendations aim to provide practical solutions for overcoming the challenges in Kampala’s FSM system and contribute to the city’s efforts to ensure more sustainable and effective sanitation services.

This study conducted a comparative analysis of Difference-in-Differences (DiD) and event study methodologies to evaluate the impact of a simulated school funding reform on student test scores and attendance rates. Utilizing a hypothetical dataset of 50,000 students across 100 school districts, the research examined the strengths and limitations of each method in isolating the causal effects of the policy intervention. The DiD analysis revealed a statistically significant positive effect of the reform, demonstrating an average increase of 5.23 points in test scores and 2.10 percentage points in attendance rates in treated districts compared to control districts. Placebo tests supported the validity of these findings, indicating that the observed effects were likely attributable to the reform. The event study analysis provided a more dynamic perspective, capturing the temporal evolution of the reform’s impact. Results showed a gradual increase in both test scores and attendance rates following the reform, with effects reaching a plateau after several years, highlighting the importance of considering the timing and magnitude of policy effects. Sensitivity analyses, including variations in control variables, reinforced the robustness of the event study findings. The study found that DiD provided efficient estimates of average treatment effects under conditions of immediate and uniform policy implementation and strong support for the parallel trends assumption. Conversely, the event study excelled in capturing dynamic effects and handling staggered implementation. The research concluded that the selection of evaluation methodology should be context-specific, emphasizing methodological flexibility and the importance of rigorous sensitivity analyses. The findings contribute to the methodological literature by providing empirical evidence on the relative strengths and weaknesses of DiD and event study designs in educational policy evaluation, offering practical guidance for researchers and policymakers. Received: 09.03.2025 Accepted: 14.03.2025 Published on: 30.03.2025

This study evaluated the impact of monetary policy on inflation and economic growth using Vector Autoregression (VAR) and Bayesian Econometrics. The analysis aimed to assess the dynamic relationships between key monetary policy variables, including interest rates and money supply, and macroeconomic outcomes, specifically inflation and GDP growth. The study utilized a hypothetical dataset sourced from publicly available economic data, employing rigorous statistical methods to uncover the interactions between these variables over time. The results indicated that inflation exhibited significant persistence, with past inflation being a key predictor of future inflation, while interest rate adjustments played a critical role in controlling inflation. However, the study found that the impact of monetary policy on economic growth was less pronounced, suggesting that other factors, such as external economic conditions, also influenced growth patterns. Impulse Response Functions (IRF) and Granger causality tests revealed that inflation had a negative effect on GDP growth, but the reverse relationship between growth and inflation was not significant. The Bayesian econometrics approach provided robust parameter estimates and addressed model uncertainty, offering reliable insights into the monetary policy framework. The findings contributed to the understanding of how central banks can manage inflation effectively while considering the limitations of monetary policy in driving long-term economic growth. Based on these results, the study recommended that central banks strengthen their role in controlling inflation, adopt comprehensive monetary policies to promote growth, and enhance the use of advanced econometric techniques in policy formulation. The study's findings have significant implications for policymakers, particularly in emerging economies, where the balance between inflation control and economic growth remains a critical challenge. Background of the Study

This study aimed to evaluate the role of safety regulations in preventing workplace accidents at Fine Spinners Uganda Ltd., focusing on the impact of employee awareness, the implementation of safety measures, and the enforcement of safety regulations. The research employed a quantitative design, utilizing both primary and secondary data collected through structured questionnaires and company accident records. A purposive sample of 100 employees was selected from various departments, and descriptive statistics, Chi-square tests, paired sample t-tests, and regression analysis were applied to analyze the data. The results showed that while employee awareness of safety regulations was high, it had no significant impact on reducing workplace accidents. This finding highlighted that awareness alone was insufficient to prevent accidents, as suggested by previous research in the field. However, the study found a significant reduction in accidents after the implementation of safety regulations, indicating that proper enforcement and structured safety measures played a more critical role in accident prevention. The regression analysis further confirmed that stronger enforcement of safety regulations led to a notable decrease in accidents, emphasizing the importance of consistent regulatory practices. The findings were consistent with the literature, which emphasized the significance of enforcement and a strong safety culture in reducing workplace injuries. The study concluded that while awareness programs are important, the most effective strategy to prevent accidents is the implementation and rigorous enforcement of safety regulations. Based on these findings, the study recommended that Fine Spinners Uganda Ltd. provide regular safety training, enforce safety regulations consistently, and foster a safety-oriented culture within the organization to further reduce accidents and improve workplace safety. These recommendations aim to contribute to the broader understanding of workplace safety in Uganda’s textile industry, providing insights for both practitioners and policymakers to enhance occupational health and safety practices in the country’s

This study investigated the impact of public health campaigns on smoking cessation rates through a cross- sectional analysis of 1,200 adults recruited using stratified random sampling from community centers and health clinics. The research evaluated the effectiveness of different campaign intensities and content types while identifying key demographic and psychological predictors of cessation success. Results demonstrated significantly higher cessation rates among individuals exposed to campaigns (47.4%) compared to those not exposed (23.2%), with a clear dose-response relationship between campaign intensity and cessation success. Logistic regression analysis identified significant predictors of cessation, including campaign exposure (OR=2.31), campaign intensity (OR=1.23 per unit increase), health risk messaging (OR=1.48), higher self- efficacy (OR=1.38), and greater motivation (OR=1.26). Notable demographic disparities were observed, with lower cessation rates among females (OR=0.78) and individuals of low socioeconomic status (OR=0.52). The findings support the efficacy of comprehensive public health campaigns for smoking cessation while highlighting the need for targeted approaches to address persistent socioeconomic and gender disparities. The study concludes that optimally effective cessation campaigns should employ high-intensity, multi-content approaches while incorporating strategies to enhance psychological factors such as motivation and self-efficacy. Key Words: Public Health, Campaigns and Smoking Cessation Background Public health campaigns have long been recognized as vital tools in the fight against smoking, with their primary objective being to reduce smoking prevalence and encourage cessation among individuals (Nicholas & Sarah, 2024). These campaigns utilize various communication strategies and media platforms to disseminate information about the harmful effects of smoking, promote cessation resources, and foster a supportive

The research utilized a logistic regression model to analyze socio-demographic, economic, and cultural determinants, along with perceived barriers and trust in healthcare providers, in relation to vaccination acceptance. The findings revealed that age, gender, education level, income, geographical location, and proximity to health facilities significantly influenced vaccination uptake. Perceived barriers such as fear of side effects, inconvenient vaccination hours, transportation difficulties, low vaccine efficacy confidence, cultural or religious objections, and exposure to misinformation also played a crucial role in vaccination decisions. Furthermore, the study indicated that trust-related factors, including trust in local healthcare workers, the healthcare system, government health agencies, previous positive healthcare experiences, and healthcare provider communication quality, strongly predicted vaccination behavior. The logistic regression model demonstrated strong predictive power, identifying age, gender, education, transportation difficulties, trust in local healthcare workers, misinformation exposure, and distance to health facilities as key independent predictors of vaccination uptake. The analysis highlighted the complex interplay of these factors and underscored the necessity for targeted interventions to improve vaccination coverage in rural communities. Key Words: Vaccination Uptake and Rural Communities Background of the study. The theoretical framework underpinning the analysis of vaccination uptake in rural communities draws significantly from the Health Belief Model (HBM), which posits that an individual's likelihood of adopting a preventative health behaviour, such as vaccination, is contingent upon their perceived susceptibility to the disease, the perceived severity of its consequences, the perceived benefits of vaccination, and the perceived barriers to accessing it, all while being influenced by cues to action and self-efficacy (Tushabe et al., 2020); in

The study examined the impact of financial literacy on university students’ budgeting and spending habits, focusing on Uganda Christian University (UCU). Financial literacy, a crucial life skill, influenced students’ financial decision-making as they transitioned into financial independence. The study employed theoretical frameworks such as the Life-Cycle Hypothesis, Theory of Planned Behavior, and Human Capital Theory to understand how financial literacy affected budgeting and spending behaviors. Using a cross-sectional survey design, data were collected from 324 students through stratified random sampling and analyzed using SPSS. Descriptive statistics, correlation analysis, and multiple regression techniques were used to assess relationships between financial literacy, budgeting practices, and spending habits. Results indicated that financial literacy significantly impacted students’ ability to create and adhere to budgets, track expenses, set financial goals, and maintain emergency funds. Higher financial literacy levels correlated with reduced non-essential spending, lower impulse purchases, and increased savings. Additionally, students from business-related faculties and those with personal income sources demonstrated higher financial literacy compared to their counterparts in other faculties or those financially dependent on parents. The study identified gaps in financial knowledge, particularly in tax awareness, risk diversification, and insurance concepts, and found that informal sources like family served as primary financial educators, while professional financial advisors were among the least utilized resources. Furthermore, financial literacy was found to be a strong predictor of students' financial behavior, with students who had higher literacy levels demonstrating more responsible financial management practices. The findings underscored the need for comprehensive financial education programs at UCU, integrating experiential learning approaches, digital financial tools, and structured financial literacy training to enhance students’ financial competence. The study recommended embedding financial literacy into university curricula, increasing