Publications by authors named "Nebechukwu H Ugwu"
Article Synopsis
- The study examines the link between neighborhood characteristics and risky sexual behaviors (RSB) among youth in Rwanda, Ghana, and South Africa, finding a significant prevalence of RSB with varying rates across the countries.
- It utilizes data from the most recent Demographic and Health Surveys (2014-2016), highlighting that male youth aged 20-24 are particularly at risk for multiple sexual partnerships.
- The results suggest that community education impacts sexual behavior differently across countries and emphasize the need for targeted policy interventions to mitigate RSB and improve overall community health in Africa.
Background: Risky sexual behaviour (RSB), particularly multiple sexual partnerships (MSP) continues to be a major public health concern and has been linked to the increasing STIs, including HIV/AIDS in many parts of sub-Saharan Africa (SSA), suggesting that there is an association between contextual factors and multiple sexual partnering. However, in South Africa, this association is not well established in recent literature. Hence, this study examined the contextual factors contributing to multiple sexual partnerships among young people in South Africa.
View Article and Find Full Text PDFContraceptive knowledge is vital to promoting youth health. It has been proven to lower the high rates of unwanted pregnancies, and STIs including HIV/AIDS. The aim of the study was to examine the level of contraceptive knowledge and use among youths in Federal Capital Territory (Abuja) Nigeria.
View Article and Find Full Text PDFArticle Synopsis
- Young people in South Africa are engaging in risky sexual behaviors despite efforts to address these issues, with a focus needed on neighborhood-level factors rather than just individual-level influences.
- The study analyzed data from nearly 4,000 never-married youths aged 15-24 using a multilevel approach, finding specific community and demographic factors that influence sexual behaviors.
- Key findings indicate that factors like community diversity, household size, and employment status can reduce risky behaviors, while age, education, and media exposure increase the likelihood of engaging in those behaviors.