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INTRODUCTION The increasing use of roll-your own (RYO) cigarettes has been documented globally, but there are no recent data from South Africa, particularly among youths and low-income groups. We assessed changes in prevalence and correlates of RYO smoking among South African adults during 2010--2011 and 2017--2018, and explored expenditure differences between daily smokers of RYO and manufactured cigarettes. METHODS Nationally representative data of South Africans aged ≥16 years used in this study were from the South African Social Attitudes Survey (SASAS) for 2010--2011 (n=6116), and 2017--2018 (n=5799). Current RYO cigarette use included daily and non-daily use. Annual expenditures were estimated based on typical usage patterns for daily users. Descriptive and multivariable analyses were performed using Stata Version 15 with the level of statistical significance set at p<0.05. RESULTS The prevalence of ever RYO cigarette use increased from 6.5% (95% CI: 5.6--7.5) during 2010--2011, to 8.5% (95% CI: 7.0--10.0) during 2017--2018 (p=0.026). Current RYO cigarette use prevalence however remained largely unchanged when we compared 2010--2011 to 2017--2018 (5.2% vs 6.3%, p=0.544). During 2017--2018, current RYO cigarette use prevalence was highest among men (11.6%), those who self-identified as Coloreds (11.1%), people aged 25--34 years (7.8%), those with no schooling (7.5%), and those unemployed (9.8%). Annual expenditures associated with typical patterns of daily RYO cigarette smoking were substantially less than for smoking of manufactured cigarettes. CONCLUSIONS The prevalence of ever RYO cigarette use increased between 2010-- 2011 and 2017--2018. Current RYO cigarette use during 2017--2018 was more prevalent among Coloreds, Black Africans, youths, those with lower education, and the unemployed. This study's findings highlight the need to harmonize taxation of cigarettes and RYO cigarettes, and to intensify implementation of evidence-based tobacco control and prevention interventions in South Africa. [ABSTRACT FROM AUTHOR]

INTRODUCTION The health consequences of smoking are serious and have been frequently detailed. A reduction in tobacco-related mortality hinges upon the ability to reduce tobacco usage. There is overwhelming evidence that higher cigarette prices reduce the demand for cigarettes, but little is known about the combined effect of price and non-price policies. This paper seeks to extend the analysis of price elasticities by estimating the combined effect of changes in price and non-price legislations in South Africa. METHODS Annual time-series data from 1961 to 2016 are used, with a policy index constructed to capture the instances of non-price tobacco legislation. We estimate the combined impact of changes in tobacco control policy on cigarette consumption using a vector error correction model (VECM) and a two-stage least squares (2SLS) model. RESULTS The estimated long-run own-price elasticities lie between -0.55 and -0.72, while the income elasticities lie between 0.39 and 0.49. The coefficients of the changing tobacco control policies and the changing market structure show that they contribute to a modest reduction in cigarette consumption. The short-run deviations from the steady state are presented using the error correction term (ECT). CONCLUSIONS Cigarette demand is responsive to cigarette prices and non-pricing policies but failure to control for non-pricing policies overstates the price effect. This suggests that both cigarette prices and non-pricing legislation are effective in reducing cigarette consumption. [ABSTRACT FROM AUTHOR]

INTRODUCTION Tobacco use may be associated with incident insomnia. The aim of the study was to investigate the association between tobacco use and incident sleep parameters in a longitudinal study in South Africa. METHODS Longitudinal data from two consecutive waves of middle-aged and older adults in 2014-2015 (n=5059) and 2018-2019 (n=4176) in rural South Africa were analyzed. Tobacco use and sleep parameters were assessed by self-report. The associations between tobacco use and incident sleep parameters were estimated with multivariable logistic regression. RESULTS The prevalence of baseline sleep parameters was poor sleep quality 6.5%, sleep disturbance 13.6%, restless sleep 32.9%, and breathing stops 7.0%. In the fully adjusted model for people without poor sleep quality at baseline, daily tobacco smoking, smoking ≥10 units of tobacco products, current tobacco use and current smokeless tobacco use did not increase the odds of incident poor sleep quality. Smoking ≥10 units of tobacco products in a day (AOR=3.83; 95% CI: 1.77-8.28), current tobacco use (AOR=1.65; 95% CI: 1.09-2.51), and daily tobacco smoking (AOR=2.16; 95% CI: 1.15-4.07), were significantly positively associated with incident sleep disturbance. Furthermore, incident restless sleep was significantly positively associated with smoking ≥10 units of tobacco products in a day (AOR=3.97; 95% CI: 1.18-13.37), current smokeless tobacco use (AOR=2.78; 95% CI: 1.17-6.62) and current tobacco use (AOR=2.00; 95% CI: 1.00-4.00). Incident breathing stops were significantly positively associated with daily smoking tobacco (AOR=2.08; 95% CI: 1.11-3.34), smoking 1-9 units of tobacco products in a day (AOR=2.17; 95% CI: 1.20-3.94), and current tobacco use (AOR=1.77; 95% CI: 1.16-2.72). CONCLUSIONS Higher tobacco use was independently associated with incident sleep disturbance, incident restless sleep, and incident breathing stops, but not with incident poor sleep quality. [ABSTRACT FROM AUTHOR]

INTRODUCTION The aim of this study was to determine trends in receiving quit advice from healthcare professionals among current smokers in South Africa, pre- and post-adoption of Article 14 guidelines of the WHO FCTC in 2010, and to determine the association between quit advice, e-cigarette use and quit attempt. METHODS This study was a secondary data analysis involving 2206 ever-smokers aged ≥16 years who participated in the South African Social Attitude Surveys conducted in 2007, 2010 and 2017. Data included participants' sociodemographics, tobacco, and/or e-cigarette use (for years 2010 and 2017 only), exposure to others' smoking at home and/or work or public places, quit advice, and quit attempts. Analyses included chi-squared test and logistic regression. RESULTS The mean cigarettes smoked per day, the proportions of smokers offered quit advice, planning to quit and who made a quit attempt did not change significantly between 2007 and 2017 (p=0.67, p=0.70, p=0.09 and p=0.40, respectively). However, there was a marginally significant increase in e-cigarette uptake between 2010 and 2017 (p=0.05). In a bivariate analysis, quit advice was significantly associated with making a quit attempt across all survey years. In the final multivariable-adjusted regression model, having received a quit advice (OR=1.967; 95% CI: 1.255-3.083) compared to not, and being Colored/mixed race (OR=0.467; 95% CI: 0.298-0.732) compared to self-identifying as Black African, remained independently associated with making a quit attempt. CONCLUSIONS Except for marginally increased e-cigarette use, there was no significant change in smoking or quitting behavior in South Africa post-adoption of Article 14 guidelines. The study findings highlight the importance of quit advice in promoting quitting behavior and suggest the need to scale it up in South Africa. [ABSTRACT FROM AUTHOR]

INTRODUCTION To inform policy making under the proposed The Control of Tobacco and Electronic Delivery Systems Bill, we compared annual costs of using e-cigarettes versus cigarettes, and estimated revenue from e-cigarette taxation. METHODS We extracted e-cigarette retail prices from 231 South African e-cigarette vendor websites. We compared annual costs associated with daily cigarette smoking (self-reports from daily smokers in the 2018 South African Social Attitudes Survey, SASAS) versus daily e-cigarette use (based on cumulative costs of consumables plus device costs). We estimated revenue from excise tax if e-cigarettes were taxed at 75% (the rate proposed by the government) and 37.5% (half of the government's proposal as a hypothetical scenario) of the cigarette excise rate. We applied the different rates to e-cigarette consumption in 2018 SASAS and projected for 2021. RESULTS Mean annual cost associated with daily use was ZAR 6693 (US$460.32, based on an exchange rate of about 69 US$ to 1000 ZAR) for manufactured cigarettes; for e-cigarettes, this ranged from ZAR 8574.69/year (with price minimizing strategies) to ZAR 19780.83/year (retail products exclusively). Expected revenue from e-cigarette excise tax at 75% of the cigarette tax rate was up to ZAR 2.20 billion (95% CI: 0.96-3.44). If taxed at 37.5% of the cigarette tax rate -- half of the government's proposed rate -- the projected revenue was up to ZAR 1.10 billion (95% CI: 0.48-1.72). Of the projected revenue from e-cigarette excise tax at 75% of the cigarette rate, the portion attributable to hardware (device and batteries) was 61% (ZAR 1.35 billion), while the portion attributable to e-liquid was 39% (ZAR 0.86 billion). CONCLUSIONS Calculated daily costs were higher for e-cigarettes than cigarettes. We recommend an e-cigarette excise tax. The government's proposed tax rate may reduce youth e-cigarette access, while allowing adult smokers wishing to switch exclusively to e-cigarettes to reduce their tobacco-related harm. [ABSTRACT FROM AUTHOR]