Prevalence and correlates of alcohol use and risky drinking among undergraduate students in Johannesburg, South Africa: a cross-sectional study.

BACKGROUND: Alcohol use and risky drinking are significant public health problem globally. Young people, including university students, are among the most affected populations. We conducted the study to determine the prevalence and correlates of alcohol use and risky drinking among undergraduate students in the Faculty of Health Sciences at the University of the Witwatersrand, South Africa. METHODS: We conducted a cross-sectional study using an anonymous, self-administered online survey in REDCap. The survey questionnaire consisted of socio demographic, and alcohol use questions using the risky drinking identification screening tool (AUDIT-C). We performed descriptive statistics, bivariate and multivariable logistic regression to determine factors associated with alcohol use and risky drinking. The p-value of < 0.05 was considered statistically significant. RESULTS: The response rate was 15.7%. Most participants were female (69.6%) and majority of the participants were White (38.1%). The prevalence of lifetime use of alcohol was 79.1%, and among the lifetime users; 70.2% reported alcohol use in the last 12-months, 37.1% reported alcohol use in the last 30 days. The prevalence of risky drinking was 54.8% among lifetime drinkers. Factors significantly associated with current alcohol use were siblings alcohol use (aOR = 1.79, 95% CI: 1.02-3.15) and parents alcohol use (aOR = 2.58, 95% CI: 1.39-4.80), white race (aOR = 5.70, 95% CI: 3.12-10.41), and always or daily exposure to alcohol marketing in the media (aOR = 3.31, 95% CI: 1.07-10.24). Factors associated with risky drinking were: Indian/Asian race (aOR = 2.82, 95% CI: 1.09-7.31), White race (aOR = 2.15, 95% CI: 1.14-4.04), and exposure to alcohol marketing in the media as follows, most of the time (aOR = 3.42, 95% CI: 1.29-9.04) and Always/daily exposure (aOR = 3.31, 95% CI: 1.07-10.24). CONCLUSION: The reported alcohol use and risky drinking were common amongst undergraduate students at Wits university. There is an urgent need to design, pilot and adapt targeted interventions for this population group.

Association of alcohol use and multimorbidity among adults aged 40 years and above in rural South Africa.

We assessed the prevalence of reported alcohol use and its association with multimorbidity among adults aged 40 years and above in a rural, transitioning South African setting. Findings could potentially inform alcohol interventions integration in the prevention and treatment of chronic conditions. We analysed data from the first wave of The Health and Ageing in Africa-a longitudinal Study in an INDEPTH community (HAALSI) nested within the Agincourt Health and Demographic Surveillance Systems, conducted between November 2014 and November 2015 (n = 5059). We computed descriptive statistics and performed univariate analysis to determine factors independently associated with multimorbidity. Age, Body Mass Index, education, sex, and household wealth status and variables with a p-value < 0.20 in univariate analysis were included in multivariable Modified Poisson regression models. Any factors with a p-value of < 0.05 in the final models were considered statistically significant. The first wave of HAALSI was completed by 5059 participants aged 40 years and above and included 2714 (53.6%) females. The prevalence of reported ever alcohol use was 44.6% (n = 2253) and of these 51.9% (n = 1171) reported alcohol use in the last 30 days. The prevalence of HIV multimorbidity was 59.6% (3014/5059) and for multimorbidity without HIV 52.5% (2657/5059). Alcohol use was associated with HIV multimorbidity among all participants (RR: 1.05, 95% CI: 1.02-1.08), and separately for males (RR: 1.05, 95% CI: 1.00-1.10) and females (RR: 1.06, 95%CI: 1.02-1.11). Similarly, alcohol use was associated with multimorbidity without HIV among all participants (RR: 1.05, 95% CI: 1.02-1.09), and separately for males (RR: 1.06, 95% CI: 1.00-1.12) and females (RR: 1.06, 95% CI: 1.01-1.11). Reported alcohol use was common and associated with HIV multimorbidity and multimorbidity without HIV among older adults in rural northeast South Africa. There is a need to integrate Screening, Brief Interventions, and Referral for alcohol Treatment in the existing prevention and treatment of multimorbidity in South Africa.

Probable depression and its correlates among undergraduate students in Johannesburg, South Africa.

Background: Depression is associated with high rates of morbidity and mortality. Globally, depression is higher among university students than the general population-making it a significant public health problem. Despite this, there is limited data on the prevalence in university students in the Gauteng province, South Africa. This study determined the prevalence of screening positive for probable depression and its correlates among undergraduate students at the university of the Witwatersrand, Johannesburg, South Africa. Methods: A cross-sectional study, using an online survey was conducted among undergraduate students at the University of the Witwatersrand in 2021. Patient Health Questionnaire (PHQ-2) was used to assess the prevalence of probable depression. Descriptive statistics was computed and conducted bivariate and multivariable logistic regression to identify factors associated with probable depression. Age, marital status, substance use (alcohol use, cannabis use, tobacco use, and other substance use) were included in the multivariable model apriori determined confounders and other factors were only added if they had a p-value <0.20 in the bivariate analysis. A p-value of 0.05 was considered statistically significant. Results: The response rate was 8.4% (1046/12404). The prevalence of screening positive for probable depression was 48% (439/910). Race, substance use, and socio-economic status were associated with odds of screening positive for probable depression. Specifically reporting white race (adjusted OR (aOR) = 0.64, 95% CI: 0.42, 0.96), no cannabis use (aOR = 0.71, 95% CI: 0.44-0.99), higher spending power in the form of having the most important things but few luxury goods (aOR = 0.50, 95% CI: 0.31, 0.80) and having enough money for luxury goods and extra things (aOR = 0.44, 95% CI: 0.26-0.76) were associated with lower odds of screening positive for probable depression. Discussion: In this study, screening positive for probable depression was common among undergraduate students at the University of the Witwatersrand, Johannesburg, South Africa and associated with sociodemographic and selected behavioral factors. These findings call for strengthening the awareness and use of counselling services among undergraduate students.