The purpose of this study is to examine the association between extracurricular activities and risky sexual and illicit drug use behaviours among youth (12-22 years old) in South Africa. The study uses nationally representative data. Descriptive statistics and logistic regression models are used. Results show that a high percentage of youth engage in at least one type of risky sexual behaviour (33.84%) and have used at least one type of illicit substance (7.79%). Sports (about 60%) and youth groups (about 15%) are the most popular forms extra-curricular activities. Further, the odds of risky sexual behaviour are higher for youth who participate in sports (OR = 1.29, p-value < .05) and youth groups (OR = 1.58, p-value < .05). While youth who engage in other, undefined extra-curricular activities (OR = 2.11, p-value < .05) and sports (OR = 1.03, p-value < .05) have higher odds of illicit drug use. There is need to monitor and evaluate local extra-curricular activities to prevent risky behaviours among youth.
Knowing relevant information about students entering the higher education (HE) system is becoming increasingly important, thus enabling higher education institutions (HEIs) to design effective studentcentred support programmes. Therefore, HEIs should ascertain all relevant information about their students before the commencement of the academic year. Doing so means that institutions have a head start in understanding the types of support that will be required for different students throughout the year. This article describes the design, implementation and application of a student biographical questionnaire (BQ) online platform at the University of the Witwatersrand (Wits), as well as some of the lessons learned in this regard. The BQ online platform was fully implemented for the first time in January 2016 during the student registration process and has now become an integral part of the university student registration process. Once data collection and analysis is done, a BQ report is compiled and presented to various high-level decision-making structures of the university. The Faculty Student Advisers are the most critical users of the BQ data, as they utilise the data to inform and improve the various student support interventions that each faculty is providing. The planning process for BQ data collection includes questionnaire review; updates on the BQ online platform; testing of the BQ online platform; stakeholder meetings and BQ training of involved stakeholders. Some of the lessons learned when implementing this online platform include buy-in and support from University Management; understanding of the BQ online platform by those dealing directly with students during the registration process; and continuous review and improvements of the BQ online platform. The BQ online platform has proven to be a valuable tool in providing Wits with a head start in understanding the needs of the students and the support they might require to succeed in their first year of study.
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