Introduction The objective of this study was to examine the relationship between trauma volume and alcohol prohibition during the COVID‐19 lockdown in South Africa. Methods This was a retrospective analysis of trauma volume from Worcester Regional Hospital in South Africa from 1 January to 28 December 2020. We compared total volume and incidence rates during five calendar periods; one when alcohol sales were allowed as per normal and four when alcohol sales were completely or partially banned. Poisson regression was used to model differences between alcohol ban and non‐ban periods. Results During the first period (pre‐COVID‐19, no ban), the trauma admission rate was 95 per 100 days, compared to 39 during the second period (complete ban 1), 74 during the third period (partial ban 1), 40 during the fourth period (complete ban 2) and 105 during the fifth period (partial ban 2). There was a 59–69% decrease in trauma volume between the no ban and complete ban 1 periods. When alcohol sales were partially reinstated, trauma volume significantly increased by 83–90% then dropped again by 39–46% with complete ban 2. By the second half of 2020, when alcohol sales were partially allowed again (partial ban 2), trauma volume increased by 163–250%, thus returning to pre‐COVID‐19 levels. Discussion and Conclusions Our study demonstrates a clear trend of decreased trauma volume during periods of complete alcohol prohibition compared to non‐ and partial alcohol bans. This finding suggests that temporary alcohol bans can be used to decrease health facility traffic during national emergencies.
Current South African tobacco control law allows for 25% designated smoking areas in some indoor public places. This study investigates non-smokers’ exposure to second-hand smoke (SHS) in workplaces, homes, cafés/restaurants, and shebeens (local bars) using data from the 2017 South African Social Attitude Survey. Factors associated with any level of exposure were explored using multiple-variable-adjusted logistic regression analysis. The sample of 3063 participants (16+ years old), comprised 51.7% females and 78.5% Black Africans. The current smoking prevalence from this study was 21.5%. About 47% of non-smokers reported exposure to SHS in at least one location. Females were significantly less likely to be exposed to SHS in all locations except at home compared to males. Adjusted logistic regression analysis showed that females, adults aged 45–54 years, 55–64 years, and 65+ years were significantly less likely to be exposed to SHS (AOR = 0.63, 0.60, 0.55, and 0.24, respectively) than males and those aged 16–24 years. Those who identified as Coloureds were significantly more likely to be exposed to SHS (AOR = 1.69) than Black Africans. This study found that nearly half of non-smokers reported exposure to SHS. A 100% smoke-free policy consistent with the World Health Organisation (WHO) Framework Convention on Tobacco Control would protect more people from exposure to SHS in South Africa.
This open-access article is distributed under Creative Commons licence CC-BY-NC 4.0.
Background: People living with HIV (PLWH) who drink alcohol and use tobacco are particularly vulnerable to tobacco-induced diseases due to an already compromised immune system. This study investigated the prevalence and factors associated with tobacco use (cigarette and snuff) among PLWH who drink heavily. Methods: Participants (n = 623) on antiretroviral therapy for HIV who reported heavy drinking using the Alcohol Use Disorders Identification Test (AUDIT) and AUDIT-C were recruited from six hospitals in Gauteng Province, South Africa. The Fagerström test was used to assess nicotine dependence. Chi Square tests and modified Poisson regression analyses were conducted to identify factors associated with tobacco use. Results: Almost half of the participants reported ever smoking (44.0%; CI: 40.1-47.9) and about a quarter reported ever using snuff (25.5%; CI: 22.2-29.1). Current smokers and current snuff users comprised 27.3% (CI: 23.9-30.9) and 19.1% (CI: 16.2-22.3) of all participants respectively. Among current smokers, 37.9% (CI: 30.8-45.3) were moderately/ highly dependent on nicotine. Current 'any tobacco product users' (ATPU: use cigarettes or snuff) were 45.4% (CI: 41.5-49.3) while 1.0% (CI: 0.4-2.0) currently used cigarettes and snuff. Adjusted regression analyses showed that, compared to males, females were less at risk of being: ever smokers (Relative Risk Ratio [RRR] = 0.33;
In South Africa, little is known about alcohol consumption patterns, such as drinks consumed, container size, salience of alcohol price, affordability and availability, and perceptions of alcohol policies as potential predictors of heavy episodic alcohol (HED) use among young people. This paper examines predictors of HED among young people with specific consideration given to these alcohol consumption patterns. This study conducted in the Tshwane Metropole in 2014 employed multi-stage stratified cluster random sampling. Participants were between the ages 16–25 years. A structured questionnaire was used to collect data. Of the 287 (n = 678) participants who had used alcohol in the past six months and for whom we had complete consumption data, almost half were identified as heavy episodic drinkers (HEDs) and were significantly more likely to consume alcohol on a daily basis (p = 0.001). Having nightclub as the primary drinking location (p = 0.023) and drinking from a container size bigger than one standard drink (p = 0.014) were significant predictors for HED. HEDs were also more likely to have a perception that most people consume alcohol (p = 0.047). The results point to HED of alcohol among young people who drink in South Africa, highlighting the need for multicomponent interventions.
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