Roll-your-own tobacco use among people smoking menthol cigarettes in Great Britain, 2020-2023: a population-based survey.

INTRODUCTION: The sale of factory-made cigarettes with menthol as characterising flavour has been prohibited in Great Britain since May-2020. However, menthol accessories like flavoured filters for roll-your-own (RYO) tobacco can be sold legally, possibly undermining the policy. This study aimed to explore the association of RYO and menthol cigarette smoking. METHODS: Data were collected between October-2020 and October-2023 from a monthly population-based cross-sectional survey, with 82,120 adults (18+) living in Great Britain providing complete data. Logistic regression models assessed the association between predominant RYO tobacco use and menthol cigarette smoking, and whether it differed by sociodemographic characteristics, unadjusted and adjusted for age, gender, ethnicity, nation, and socioeconomic position. Time-trends in RYO tobacco use among people smoking menthol cigarettes were modelled over the study period. RESULTS: There has been no clear decrease in menthol cigarette smoking prevalence among people who smoke (~14%) following the ban. Predominant RYO use increased among people smoking menthol cigarettes from 49.6% (95%CI: 42.2-57.0) in October-2020 to 61.9% (95%CI: 57.5-66.0) in June-2022, after which it remained stable. Predominant RYO use was more common among people smoking menthol than non-flavoured cigarettes overall (adjusted odds ratio (ORadj)=1.30, 95%CI: 1.14-1.49) and across demographic subgroups. This association was most pronounced in middle-aged compared with older people (35 vs. 65 years ORadj=1.18, 95%CI: 1.01-1.35), and in ethnic minorities compared with White people (ORadj=1.56, 95%CI: 1.03-2.36). CONCLUSIONS: There was a substantial increase in RYO use among people smoking menthol cigarettes in the first two years after the ban, from approximately 50% to 60%. IMPLICATIONS: The availability of menthol accessories may have undermined the ban on factory-made mentholated cigarettes in Great Britain. Roughly one in seven people who smoke cigarettes still report smoking menthol cigarettes and among these, about two thirds predominantly use roll-your-own tobacco. Since there has been no noteworthy change in the prevalence of menthol cigarette smoking since October-2020, new measures will likely be necessary to achieve a further reduction. For example, menthol accessories could be banned or their advertising and availability heavily restricted.

Impact of Standardised Packaging of Tobacco Products Regulations on cigarette consumption and youth smoking in England: interrupted time-series analysis.

BACKGROUND: In the UK in May 2016, standardised packaging of tobacco products was implemented, including minimum pack sizes of 20 sticks or 30 g loose tobacco. The change was intended to reduce uptake by increasing upfront costs to young people, but there was concern it may unintentionally increase consumption among people smoking. This study aimed to assess whether the introduction of the policy was associated with changes in (1) mean daily factory-made (FM)/roll-your-own (RYO) cigarettes consumption among people smoking predominantly (a) FM and (b) RYO cigarettes; and (2) current smoking prevalence among 16-24-year-olds. METHODS: Data (N=257 929) were from a representative monthly cross-sectional survey of adults (≥16 years) in England, collected between November 2007 and January 2020. Outcome measures were mean daily (FM/RYO) cigarette consumption among those smoking FM/RYO cigarettes, and prevalence of current smoking among 16-24-year-olds. Time-series analyses were conducted using Autoregressive Integrated Moving Average with Exogenous variables (ARIMAX) regression models including a gradual level change starting in June 2017 and ending in May 2018 for cigarette consumption and a step change in June 2016 for prevalence of current smoking. RESULTS: The ARIMAX model was not able to detect a change in mean daily cigarette consumption-for FM (Badj=-0.543, 95% CI -1.381 to 0.296) or RYO (Badj=0.002, 95% CI -0.518 to 0.522) following the implementation of standardised packaging. The unadjusted analysis suggested the implementation of standardised packaging was associated with a small (3%) decrease in smoking prevalence among 16-24-year-olds (Bunadj=-0.031, 95% CI -0.062 to 0.000), but this association was attenuated after adjustment for covariates (Badj=-0.010, 95% CI -0.039 to 0.019). CONCLUSIONS: The implementation of standardised packaging of tobacco products was not associated with a meaningful change in the mean number of FM or RYO cigarettes consumed by people smoking in England, suggesting the larger pack size has not had an unintended consequence of substantially increasing cigarette consumption. However, there was also little evidence that the policy substantially reduced smoking among 16-24-year-olds.

Trends in Daily Cigarette Consumption Among Smokers: A Population Study in England, 2008-2023.

INTRODUCTION: This study aimed to estimate time trends in cigarette consumption among smokers in England between 2008 and 2023 and to explore differences by key potential moderators. AIMS AND METHODS: We used data from 57 778 adult cigarette smokers participating in a nationally representative monthly cross-sectional survey between January 2008 and September 2023. We estimated monthly time trends in mean daily consumption of (1) any, (2) manufactured, and (3) hand-rolled cigarettes among all smokers and by main type of cigarettes smoked, smoking frequency, age, gender, occupational social grade, region, nicotine replacement therapy use, and vaping status. RESULTS: Overall cigarette consumption fell from 13.6 [95% CI = 13.3 to 13.9] to 10.6 [10.5 to 10.8] per day between January 2008 and October 2019 (a 22% decrease), then remained stable up to September 2023. Over this period, the proportion mainly or exclusively smoking hand-rolled cigarettes increased (from 30.6% [29.1%-32.1%] in 2008 to 52.1% [49.7%-54.5%] in 2023). As a result, manufactured cigarette consumption fell by 47%, from 9.5 [9.2-9.8] per day in January 2008 to 5.0 [4.7-5.3] in September 2023, while hand-rolled cigarette consumption increased by 35%, from 4.2 [3.9-4.4] to 5.6 [5.3-5.9], respectively. The decline in overall cigarette consumption was observed across all subgroups, but was greater among non-daily smokers, younger smokers, and those who vaped. CONCLUSIONS: Over the last 15 years, the average number of cigarettes consumed each day by smokers in England has fallen by almost a quarter, but has plateaued since October 2019. There has been a sharp decline in the number of manufactured cigarettes consumed and an increase in the number of hand-rolled cigarettes consumed, as smokers have increasingly shifted towards using hand-rolled tobacco. IMPLICATIONS: While average cigarette consumption in England has fallen over the past 15 years, this declining trend has stalled (and reversed in some population groups) since 2019. The availability of cheap, hand-rolled tobacco appears to be undermining policies that aim to reduce smoking by raising the price of tobacco (eg, through taxation) and could be targeted to reignite the decline in cigarette consumption.

Intersection of gambling with smoking and alcohol use in Great Britain: a cross-sectional survey in October 2022.

OBJECTIVES: Gambling is associated with cigarette smoking and alcohol consumption. We explored the intersection of gambling across all risk levels of harm with smoking and alcohol use among adults in Great Britain. DESIGN: A nationally representative cross-sectional survey in October 2022. SETTING: Great Britain. PARTICIPANTS: A weighted total of 2398 adults (18+ years). OUTCOME MEASURES: We examined the prevalence of past-year gambling and, among those reporting gambling, assessed the associations between the outcome of any risk of harm from gambling (scoring >0 on the Problem Gambling Severity Index) and the binary predictor variables of current cigarette smoking and higher risk alcohol consumption (AUDIT-C score≥4). We also explored data on weekly expenditure on gambling with smoking and alcohol use among those categorised at any-risk of harm from gambling. RESULTS: Overall, 43.6% (95% CI 41.2% to 45.9%) of adults gambled in the past year. Among these, 7.3% (95% CI 5.3% to 9.3%) were classified at any-risk of harm from gambling, 16.0% (95% CI 13.2% to 18.8%) were currently smoking and 40.8% (95% CI 37.2% to 44.4%) were drinking at increasing and higher risk levels. There were no associations between any risk of harm from gambling and current smoking (OR adjusted=0.80, 95% CI 0.35 to 1.66) or drinking at increasing and higher risk levels (OR adjusted=0.94, 95% CI 0.52 to 1.69), respectively. Analyses using Bayes factors indicated that these data were insensitive to distinguish no effect from a range of associations (OR=95% CI 0.5 to 1.9). The mean weekly spend on gambling was £7.69 (95% CI £5.17 to £10.21) overall, £4.80 (95% CI £4.18 to £5.43) among those classified as at no risk and £45.68 (95% CI £12.07 to £79.29) among those at any risk of harm from gambling. CONCLUSIONS: Pilot data in a population-level survey on smoking and alcohol use yielded similar estimates to other population-level surveys on gambling participation and at-risk gambling. Further data are needed to elucidate the intersections more reliably between gambling, smoking and alcohol use and inform population-level approaches to reduce harm.

'Stopping the start': support for proposed tobacco control policies - a population-based survey in Great Britain 2021-2023.

OBJECTIVES: This study assessed public support for four proposed tobacco control policies in Great Britain: (1) Raising the sales age of tobacco by 1 year every year (Smokefree Generation); (2) Raising the sales age of tobacco from 18 years to 21 years; (3) Providing prescription e-cigarettes as smoking cessation aids to adults who smoke; (4) Restricting e-cigarette advertising to prevent youth uptake. DESIGN: Repeat cross-sectional population-based survey weighted to match the population of Great Britain. SETTING: The survey was conducted in England, Scotland and Wales in September 2021, October 2022 and October 2023. PARTICIPANTS: 6541 adults living in Great Britain. MAIN OUTCOME MEASURES: Support for each policy and year and prevalence ratios (PRs) comparing support between years and subgroups. RESULTS: The most popular policy each year was restricting e-cigarette advertising (74%/79%/85%), followed by raising the sales age to 21 years (50%/58%/64%), providing prescription e-cigarettes (45%/44%/47%) and Smokefree Generation (34%/44%/49%). The largest increases were for policies about the age of sale (Smokefree Generation: 2021/2022 PR=1.28, 95% CI 1.18 to 1.40, 2022/2023 PR=1.12, 95% CI 1.04 to 1.20; raising the age to 21 years: 2021/2022 PR=1.16, 95% CI 1.09 to 1.23, 2022/2023 PR=1.11, 95% CI 1.05 to 1.17). Only 30% opposed Smokefree Generation in 2023 down from 41% in 2021. CONCLUSIONS: Support for each policy increased each year, except for providing prescription e-cigarettes. Restricting e-cigarette advertising was the most popular policy, while support for age of sale policies, in particular for a Smokefree Generation, grew most. TRIAL REGISTRATION: The study protocol was published on the Open Science Framework (https://osf.io/46z2c/) prior to starting the analysis.

Smoking prevalence and purchasing of menthol cigarettes since the menthol flavour ban in Great Britain: a population-based survey between 2020 and 2023.

BACKGROUND: Menthol cigarettes have been banned in Great Britain (GB) since May 2020. Still, menthol accessories and unlabelled cigarettes perceived as mentholated are available, and people can buy menthol cigarettes overseas or illicitly. This study assessed: trends in smoking menthol cigarettes among all adults and 18-24-year-olds in GB between October 2020 and March 2023; trends in and differences between England, Scotland and Wales during the same period and purchase sources among people smoking menthol versus non-flavoured cigarettes. METHODS: Population-weighted data were from a monthly cross-sectional survey of adults in GB. Among people smoking cigarettes, we calculated the proportion smoking menthol cigarettes across all adults and 18-24-year-olds, and prevalence ratios (PR) between the first and last quarter. We also calculated the proportions of people smoking menthol/non-flavoured cigarettes by purchase source (including illicit sources). RESULTS: In the first quarter, 16.2% of adults smoking cigarettes reported menthol cigarette smoking with little to no decline throughout the study (PR 0.85, 95% CI 0.71 to 1.01), while it declined among 18-24-year-olds (PR 0.75, 95% CI 0.63 to 0.89). The prevalence of menthol cigarette smoking fell by two-thirds in Wales (PR 0.36, 95% CI 0.19 to 0.62) but remained relatively stable in England (PR 0.88, 95% CI 0.72 to 1.06) and Scotland (PR 0.94, 95% CI 0.59 to 1.53). The main purchasing sources were licit (93.9%), 14.8% reported illicit sources and 11.5% cross-border purchases, without notable differences from people smoking non-flavoured cigarettes. CONCLUSIONS: Roughly one million adults in GB still smoke menthol cigarettes and, with the exception of Wales and young people, there were no noteworthy changes in the post-ban period. There was no indication that the overall persistence of menthol smoking was driven by illicit purchases.

Alcohol and smoking brief interventions by socioeconomic position: a population-based, cross-sectional study in Great Britain.

BACKGROUND: Alcohol and smoking brief interventions (BIs) in general practice have been shown to be effective in lowering alcohol and smoking-related harm. AIM: To assess prevalence of self-reported BI receipt among increasing or higher-risk drinkers and past-year smokers in England, Scotland, and Wales, and associations between intervention receipt and socioeconomic position. DESIGN & SETTING: Cross-sectional study using data from a monthly population-based survey in England, Scotland, and Wales. METHOD: The study comprised 47 799 participants (15 573 increasing or higher-risk drinkers [alcohol use disorders identification test consumption score ≥5] and 7791 past-year smokers) surveyed via telephone in 2020-2022 (during the COVID-19 pandemic). All data were self-reported. Prevalence of self-reported BI receipt was assessed descriptively; associations between receipt and socioeconomic position were analysed using logistic regression. RESULTS: Among adults in England, Scotland, and Wales, 32.2% (95% confidence interval [CI] = 31.8 to 32.7) reported increasing or higher-risk drinking and 17.7% (95% CI = 17.3 to 18.1) past-year smoking. Among increasing or higher-risk drinkers, 58.0% (95% CI = 57.1 to 58.9) consulted with a GP in the past year, and of these, 4.1% (95% CI = 3.6 to 4.6) reported receiving BIs. Among past-year smokers, 55.8% (95% CI = 54.5 to 57.1) attended general practice in the past year; of these, 41.0% (95% CI = 39.4 to 42.7) stated receiving BIs. There was a tendency for patients from socioeconomically disadvantaged backgrounds to receive more alcohol (adjusted odds ratio [aOR] 1.38, 95% CI = 1.10 to 1.73) or smoking BIs (aOR 1.11, 95% CI = 0.98 to 1.26), but for the latter the results were statistically non-significant. Results did not differ notably by nation within Great Britain. CONCLUSION: BIs in general practice are more common for smoking than for alcohol. A greater proportion of BIs for alcohol were found to be delivered to people who were from socioeconomically disadvantaged backgrounds and who were increasing or higher-risk drinkers.

Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study.

BACKGROUND: The digital transformation has the potential to change health care toward more consumers' involvement, for example, in the form of health-related apps which are already widely available through app stores. These could be useful in helping people understand their risk of chronic conditions and helping them to live more healthily. OBJECTIVE: With this study, we assessed mobile health app use among older Australians in general and among those who were at risk of cardiovascular disease or type 2 diabetes mellitus. METHODS: In this cross-sectional analysis, we used data from the second follow-up wave of the 45 and Up Study. It is a cohort study from New South Wales, Australia, with 267,153 participants aged 45 years and older that is based on a random sample from the Services Australia (formerly the Australian Government Department of Human Services) Medicare enrollment database. The 2019 follow-up questionnaire contained questions about technology and mobile health use. We further used data on prescribed drugs and hospitalizations to identify participants who already had cardiovascular disease or diabetes or who were at risk of these conditions. Our primary outcome measure was mobile health use, defined as having used a mobile health app before. We used descriptive statistics and multivariate logistic regression to answer the research questions. RESULTS: Overall, 31,946 individuals with a median age of 69 (IQR 63-76) years had completed the follow-up questionnaire in 2019. We classified half (16,422/31,946, 51.41%) of these as being at risk of cardiovascular disease or type 2 diabetes mellitus and 38.04% (12,152/31,946) as having cardiovascular disease or type 1 or type 2 diabetes mellitus. The proportion of mobile health app users among the at-risk group was 31.46% (5166/16,422) compared to 29.16% (9314/31,946) in the total sample. Those who used mobile health apps were more likely to be female, younger, without physical disability, and with a higher income. People at risk of cardiovascular disease or type 2 diabetes mellitus were not statistically significantly more likely to use mobile health than were people without risk (odds ratio 1.06, 95% CI 0.97-1.16; P=.18; adjusted for age, sex, income, and physical disability). CONCLUSIONS: People at risk of cardiovascular disease or type 2 diabetes mellitus were not more likely to use mobile health apps than were people without risk. Those who used mobile health apps were less likely to be male, older, with a physical disability, and with a lower income. From the results, we concluded that aspects of equity must be considered when implementing a mobile health intervention to reach all those that can potentially benefit from it.

A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study.

BACKGROUND: Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are posing a huge burden on health care systems worldwide. Mobile apps can deliver behavior change interventions for chronic disease prevention on a large scale, but current evidence for their effectiveness is limited. OBJECTIVE: This paper reported on the development and user testing of a mobile app that aims at increasing risk awareness and engaging users in behavior change. It would form part of an intervention for primary prevention of CVD and T2DM. METHODS: The theoretical framework of the app design was based on the Behaviour Change Wheel, combined with the capability, opportunity, and motivation for behavior change system and the behavior change techniques from the Behavior Change Technique Taxonomy (version 1). In addition, evidence from scientific literature has guided the development process. The prototype was tested for user-friendliness via an iterative approach. We conducted semistructured interviews with individuals in the target populations, which included the System Usability Scale. We transcribed and analyzed the interviews using descriptive statistics for the System Usability Scale and thematic analysis to identify app features that improved utility and usability. RESULTS: The target population was Australians aged ≥45 years. The app included 4 core modules (risk score, goal setting, health measures, and education). In these modules, users learned about their risk for CVD and T2DM; set goals for smoking, alcohol consumption, diet, and physical activity; and tracked them. In total, we included 12 behavior change techniques. We conducted 2 rounds of usability testing, each involving 5 participants. The average age of the participants was 58 (SD 8) years. Totally, 60% (6/10) of the participants owned iPhone Operating System phones, and 40% (4/10) of them owned Android phones. In the first round, we identified a technical issue that prevented 30% (3/10) of the participants from completing the registration process. Among the 70% (7/10) of participants who were able to complete the registration process, 71% (5/7) rated the app above average, based on the System Usability Scale. During the interviews, we identified some issues related to functionality, content, and language and clarity. We used the participants' feedback to improve these aspects. CONCLUSIONS: We developed the app using behavior change theory and scientific evidence. The user testing allowed us to identify and remove technical errors and integrate additional functions into the app, which the participants had requested. Next, we will evaluate the feasibility of the revised version of the app developed through this design process and usability testing.