Introduction: The sprawling of small and medium-sized enterprises (SMEs) in the developing world provides several challenges to ensuring health and safety practices among workers in the urban poor. Purpose: The main objective of the study will be to determine the knowledge of physical hazards and the use of PPEs based demographic characteristics among welders in Embakasi constituency, Nairobi County. Methods: This was a cross-sectional descriptive study conducted among 214 welders from 72 workshops in the Embakasi region, namely in Kariobangi South Light Industries, Kayole, and Umoja. Data collection procedure entailed observation, focus group discussions, and interviews with welders in Embakasi, Nairobi. Data were analysed using SPSS version 22 and both descriptive statistics and inferential statistics were conducted to explain the association between the study variables. Results: The study indicated that 90.2% of welders knew the activities at the workplace that pose health hazards. Welders’ knowledge of physical hazards at their workplace was significantly associated with experience (Fishers Exact Test =45.025, p = .05), number of hours worked per day (Fishers Exact Test = 9.322, p = .05), and PPE use (c2 = 3.884, df = 1, p = .05). Conclusion: Factors such as age, earning a level, hours per day worked, level of education, type of training, and knowledge of physical hazards or PPE use are significantly associated with self-reported injuries among welders.
Objective: The recent increase in the uptake of injectable contraceptives has occurred at the expense of the other modern contraceptive methods but the knowledge gap still exists on modeling dynamics and determinants associated with the use of the injectable. This study sought to model for injectable contraceptive usage to bridge the knowledge gap on the use of injectable contraceptives among women of childbearing age in Kenya. Materials and methods: Analytical cross-sectional study design was adopted. Secondary data for women collected during the (Performance Monitoring for Action) PMA2020 survey was used. PMA2020 survey used multistage stratified sampling with urban-rural representation. To establish the factors associated with the uptake of injectable contraceptives, a multiple logistic regression model was fitted using Stata version 13 and R version 3.5.3 statistical software. Hosmer-Lemeshow Test statistic was used to evaluate the goodness of model fit in predicting injectable contraceptive usage. Results: Multivariable analysis showed that women with post-primary/vocational levels of education were 54% less likely to use an injectable contraceptive compared to those who had no education at all. Hosmer-Lemeshow (HL) goodness of fit test statistic indicated that the model was a good fit for prediction. Education, marital status, wealth quintile, place of residence and number of births were significant predictors of the injectable contraceptive uptake among women of reproductive age in Kenya. Conclusion: The findings of this study will inform the design of targeted interventions aimed at addressing the increasing demand for injectable devices among women of reproductive age in Kenya.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.