First experience with nicotine products and transition to regular tobacco use: a secondary data analysis in 28 European countries.

OBJECTIVE: The majority of tobacco users have had their first contact with nicotine at a young age. The aim of this study was to explore the association between the first tobacco or nicotine product tried and the transition to regular product use in 28 European countries. METHODS: A secondary analysis of participants aged 15-40 years (n=8884) from 28 countries was conducted (Eurobarometer wave 93.2; August-September 2020). Participants who reported having ever tried tobacco or nicotine products were asked which product they tried first. Self-reported history of tobacco use determined whether they were established users (≥1 time weekly) of a range of products at any point in their life. Multilevel logistic regression was used to measure the association between first product tried and becoming a regular user of tobacco or nicotine products. RESULTS: There was large variation between countries in the proportion of participants aged ≤40 years that ever tried tobacco or nicotine; Estonia had the highest proportion of ever users (85.8%) and Poland had the lowest (38.9%). Among those who had ever tried tobacco or nicotine, boxed cigarettes were the most common first product (72.3%) and pipe was the least common (0.4%). Compared with those who first tried e-cigarettes, the odds of ever becoming a regular user of any tobacco or nicotine product were higher among those who first had hand-rolled cigarettes (adjusted OR, aOR 2.23; 95% CI 1.43 to 3.48) or boxed cigarettes (aOR 2.08; 95% CI1.43 to 3.02) and lower among those who first tried waterpipe (aOR 0.22; 95% CI 0.14 to 0.34). CONCLUSIONS: Although this study cannot infer causality, the findings show that odds of becoming a regular tobacco user differs widely depending on the first product used. Better understanding of the associations between first product use and regular tobacco use could be informative to tobacco control policy-makers and help tailor prevention programmes.

Price differences between capsule, menthol non-capsule and unflavoured cigarettes in 65 countries in 2018.

The global consumption of flavoured cigarettes, particularly capsule and menthol non-capsule cigarettes, has been rising rapidly. Their attractiveness has been fuelled by perceptions of improved palatability, along with industry marketing tactics such as lower price points in some regions. This study aimed to compare prices of unflavoured, capsule, and menthol non-capsule cigarettes across 65 countries by analysing 2018 cigarette price data from Euromonitor Passport. Median prices of capsule and menthol non-capsule cigarettes were each compared to unflavoured cigarettes at the country-level. Countries were included in the analysis if they contained price data for capsule or menthol non-capsule and unflavoured cigarettes (n = 65). The median price of capsule cigarettes was the same as unflavoured cigarettes in 12 out of 50 countries and not statistically different in another 31 countries (p > 0.05). Capsule cigarettes were more expensive than unflavoured cigarettes in five countries and cheaper in two (p < 0.05). The median price of menthol non-capsule cigarettes was the same as unflavoured cigarettes in 6 out of 51 countries and not statistically different in another 39 countries (p > 0.05). Menthol non-capsule cigarettes were more expensive than unflavoured cigarettes in five countries and cheaper in one country (p < 0.05). There was no pattern found in the pricing of capsule or menthol non-capsule cigarettes, suggesting variability in the tobacco industry's pricing strategies across countries. Tailoring tobacco control policies to match national market conditions, particularly in countries with significant market shares of capsule and menthol non-capsule cigarettes could help address the public health threat posed by the tobacco epidemic.

A multi-country analysis of transnational tobacco companies' market share.

INTRODUCTION: The international tobacco market is dominated by five transnational tobacco companies (TTCs) which continue to interfere with measures to reduce tobacco consumption. The aim of this study is to better understand the current international tobacco industry market structure by providing an overview of the market share of these five companies globally. METHODS: A longitudinal multi-country study design was used to understand market share trends across 90 different countries from 2011 to 2020. Descriptive analyses were conducted based on market share and market size data obtained from Euromonitor Passport. Market share (%), maximal market share (%) and cumulative market share (%) were calculated. Maps and boxplots are used to present the descriptive analyses. Median cumulative TTC market share and interquartile ranges for each year were calculated and stratified by country income level. RESULTS: The average maximal market share of one company in a country was 50% (IQR: 40.0-63.5) in 2020 compared to 51.5% in 2011 (IQR: 41.3-69.0). One of the five TTCs had the highest market share in 77 out of the 90 countries. Philip Morris International was the main market player in 38 countries, followed by British American Tobacco (24), Japan Tobacco International (8), Imperial Brands (6), and lastly China National Tobacco Corporation was only dominant in China. The percentage of cigarettes manufactured by one of the five TTCs remained relatively stable between 2011 (86.4%) and 2020 (85.2%). Average cumulative TTC market shares increased between 2011 and 2020 in both low- and middle-, and high-income countries. CONCLUSIONS: The international tobacco market is concentrated with a small number of large players, and this has not changed substantially between 2011 and 2020. The impact of this on the ability of the tobacco industry to resist policy changes is unknown but presents a cause for concern.

Engagement With Gamification Elements in a Smoking Cessation App and Short-term Smoking Abstinence: Quantitative Assessment.

BACKGROUND: Gamification in smoking cessation apps has been found to improve cognitive outcomes associated with higher odds of quitting. Although some research has shown that gamification can also positively impact behavioral outcomes such as smoking cessation, studies have largely focused on physical activity and mental health. Only a few studies have explored the effects of gamification on smoking cessation outcomes, of which the majority have adopted qualitative methodologies and/or assessed engagement with apps using self-report. OBJECTIVE: This study aimed to explore levels of user engagement with gamification features in a smoking cessation app via in-app metrics. Specifically, the objective of this paper was to investigate whether higher engagement with gamification features is associated with the likelihood of quitting in the short term. METHODS: Data from a larger online study that recruited smokers seeking to quit were analyzed to address the objectives presented in this paper. The study took place between June 2019 and July 2020, and participants were primarily recruited via social media posts. Participants who met the eligibility criteria used 1 of 2 mobile apps for smoking cessation. In-app metrics shared by the developer of one of the smoking cessation apps, called Kwit, were used to assess engagement with gamification features. Out of 58 participants who used the Kwit app, 14 were excluded due to missing data or low engagement with the app (ie, not opening the app once a week). For the remaining 44 participants, mean (SD) values were calculated for engagement with the app using in-app metrics. A logistic regression model was used to investigate the association between engagement with gamification and 7-day smoking abstinence. RESULTS: In total, data from 44 participants who used the Kwit app were analyzed. The majority of participants were male, married, and employed. Almost 30% (n=13) of participants self-reported successful 7-day abstinence at the end of the study. On average, the Kwit app was opened almost 31 (SD 39) times during the 4-week study period, with the diary feature used the most often (mean 22.8, SD 49.3). Moreover, it was found that each additional level unlocked was associated with approximately 22% higher odds of achieving 7-day abstinence after controlling for other factors such as age and gender (odds ratio 1.22, 95% CI 1.01-1.47). CONCLUSIONS: This study highlights the likely positive effects of certain gamification elements such as levels and achievements on short-term smoking abstinence. Although more robust research with a larger sample size is needed, this research highlights the important role that gamification features integrated into mobile apps can play in facilitating and supporting health behavior change.

Self-Efficacy and Motivation to Quit of Smokers Seeking to Quit: Quantitative Assessment of Smoking Cessation Mobile Apps.

BACKGROUND: Decreasing trends in the number of individuals accessing face-to-face support are leaving a significant gap in the treatment options for smokers seeking to quit. Face-to-face behavioral support and other interventions attempt to target psychological factors such as the self-efficacy and motivation to quit of smokers, as these factors are associated with an increased likelihood of making quit attempts and successfully quitting. Although digital interventions, such as smoking cessation mobile apps, could provide a promising avenue to bridge the growing treatment gap, little is known about their impact on psychological factors that are vital for smoking cessation. OBJECTIVE: This study aims to better understand the possible impact of smoking cessation mobile apps on important factors for successful cessation, such as self-efficacy and motivation to quit. Our aim is to assess the self-efficacy and motivation to quit levels of smokers before and after the use of smoking cessation mobile apps. METHODS: Smokers seeking to quit were recruited to participate in a 4-week app-based study. After screening, eligible participants were asked to use a mobile app (Kwit or Quit Genius). The smoking self-efficacy questionnaire and the motivation to stop smoking scale were used to measure the self-efficacy and motivation to quit, respectively. Both were assessed at baseline (before app use), midstudy (2 weeks after app use), and end-study (4 weeks after app use). Paired sample two-tailed t tests were used to investigate whether differences in self-efficacy and motivation between study time points were statistically significant. Linear regression models investigated associations between change in self-efficacy and change in motivation to quit before and after app use with age, gender, and nicotine dependence. RESULTS: A total of 116 participants completed the study, with the majority being male (71/116, 61.2%), employed (76/116, 65.6%), single (77/116, 66.4%), and highly educated (87/116, 75.0%). A large proportion of participants had a low to moderate dependence on nicotine (107/116, 92.2%). A statistically significant increase of 5.09 points (95% CI 1.83-8.34) from 37.38 points at baseline in self-efficacy was found at the end of the study. Statistically significant increases were also found for the subcomponents of self-efficacy (intrinsic and extrinsic self-efficacies). Similarly, a statistically significant increase of 0.38 points (95% CI 0.06-0.70) from 5.94 points at baseline in motivation to quit was found at the end of the study. Gender, age, and nicotine dependence were not statistically significantly associated with changes in self-efficacy and motivation to quit. CONCLUSIONS: The assessed mobile apps positively impacted the self-efficacy and motivation to quit of smokers making quit attempts. This has important implications on the possible future use of digitalized interventions and how they could influence important psychological factors for quitting such as self-efficacy and motivation. However, further research is needed to assess whether digital interventions can supplement or replace traditional forms of therapy.

Impact of Gamification on the Self-Efficacy and Motivation to Quit of Smokers: Observational Study of Two Gamified Smoking Cessation Mobile Apps.

BACKGROUND: The proportion of smokers making quit attempts and the proportion of smokers successfully quitting have been decreasing over the past few years. Previous studies have shown that smokers with high self-efficacy and motivation to quit have an increased likelihood of quitting and staying quit. Consequently, further research on strategies that can improve the self-efficacy and motivation of smokers seeking to quit could lead to substantially higher cessation rates. Some studies have found that gamification can positively impact the cognitive components of behavioral change, including self-efficacy and motivation. However, the impact of gamification in the context of smoking cessation and mobile health has been sparsely investigated. OBJECTIVE: This study aims to examine the association between perceived usefulness, perceived ease of use, and frequency of use of gamification features embedded in smoking cessation apps on self-efficacy and motivation to quit smoking. METHODS: Participants were assigned to use 1 of the 2 mobile apps for a duration of 4 weeks. App-based questionnaires were provided to participants before app use and 2 weeks and 4 weeks after they started using the app. Gamification was quantitatively operationalized based on the Cugelman gamification framework and concepts from the technology acceptance model. The mean values of perceived frequency, ease of use, and usefulness of gamification features were calculated at midstudy and end-study. Two linear regression models were used to investigate the impact of gamification on self-efficacy and motivation to quit. RESULTS: A total of 116 participants completed the study. The mean self-efficacy increased from 37.38 (SD 13.3) to 42.47 (SD 11.5) points and motivation to quit increased from 5.94 (SD 1.4) to 6.32 (SD 1.7) points after app use. Goal setting was perceived to be the most useful gamification feature, whereas sharing was perceived to be the least useful. Participants self-reported that they used the progress dashboards the most often, whereas they used the sharing feature the least often. The average perceived frequency of gamification features was statistically significantly associated with change in self-efficacy (ß=3.35; 95% CI 0.31-6.40) and change in motivation to quit (ß=.54; 95% CI 0.15-0.94) between baseline and end-study. CONCLUSIONS: Gamification embedded in mobile apps can have positive effects on self-efficacy and motivation to quit smoking. The findings of this study can provide important insights for tobacco control policy makers, mobile app developers, and smokers seeking to quit.

Use of gamification strategies and tactics in mobile applications for smoking cessation: a review of the UK mobile app market.

OBJECTIVE: Mobile phone-based interventions have been proven to be effective tools for smoking cessation, at least in the short term. Gamification, that is, the use of game-design elements in a non-game context, has been associated with increased engagement and motivation, critical success factors for long-term success of mobile Health solutions. However, to date, no app review has examined the use of gamification in smoking cessation mobile apps. Our review aims to examine and quantify the use of gamification strategies (broad principles) and tactics (on-screen features) among existing mobile apps for smoking cessation in the UK. METHODS: The UK Android and iOS markets were searched in February 2018 to identify smoking cessation apps. 125 Android and 15 iOS apps were tested independently by two reviewers for primary functionalities, adherence to Five A smoking cessation guidelines, and adoption of gamification strategies and tactics. We examined differences between platforms with χ2 tests. Correlation coefficients were calculated to explore the relationship between adherence to guidelines and gamification. RESULTS: The most common functionality of the 140 mobile apps we reviewed allowed users to track the days since/until the quit date (86.4%). The most popular gamification strategy across both platforms was performance feedback (91.4%). The majority of apps adopted a medium level of gamification strategies (55.0%) and tactics (64.3%). Few adopted high levels of gamification strategies (6.4%) or tactics (5.0%). No statistically significant differences between the two platforms were found regarding level of gamification (p>0.05) and weak correlations were found between adherence to Five A's and gamification strategies (r=0.38) and tactics (r=0.26). CONCLUSION: The findings of this review show that a high level of gamification is adopted by a small minority of smoking cessation apps in the UK. Further exploration of the use of gamification in smoking cessation apps may provide insights into its role in smoking cessation.

Adherence of popular smoking cessation mobile applications to evidence-based guidelines.

BACKGROUND: Smoking remains one of the major preventable causes of chronic diseases. Considering the promising evidence on the effectiveness of mobile technology for health behaviour change, along with the increasing adoption of smartphones, this review aims to systematically assess the adherence of popular mobile apps for smoking cessation to evidence-based guidelines. METHODS: The United Kingdom Android and iOS markets were searched in February 2018 to identify smoking cessation apps. After screening, 125 Android and 15 iOS apps were tested independently by two reviewers for adherence to the National Institute of Care and Excellence (NICE) Smoking Cessation Guidelines for Self-Help Materials and the Five A Guidelines for Smoking Cessation. Pearson chi square tests were run to examine differences between the two operating systems. RESULTS: A majority of apps across both operating systems had low adherence (fulfils 1-2 out of 5 guidelines) to the Five A Guidelines (65.7%) and low adherence (fulfils 1-3 out of 9 guidelines) to the NICE Smoking Cessation Guidelines for Self-Help Materials (63.6%). Only 15% of mobile apps provided information about the benefits of nicotine replacement therapy (NRT), and even fewer provided information regarding types of NRT products (7.1%) or how to use them (2.1%). In addition, only a minority of apps arrange follow-up appointments or provide additional support to help smokers quit. CONCLUSION: Similar to previous mobile app reviews dating back to 2014, our findings show that most mobile apps do not follow existing smoking cessation treatment guidelines, indicating little change regarding the availability of evidence-based mobile apps for smoking cessation in the UK market. Smokers seeking to quit, tobacco control policy makers and software developers need to work together to develop apps that are in line with the latest clinical guidelines and strategies to maximise effectiveness.

Association of environmental and sociodemographic factors with life satisfaction in 27 European countries.

BACKGROUND: Life satisfaction is a cognitive and evaluative judgement of one's outlook on life and an integral component of subjective wellbeing. There is a strong association between life satisfaction and mental and physical health, but it is currently unclear how environmental factors may influence life satisfaction. Our aim was to investigate the association between environmental factors and life satisfaction and to gain a better understanding of general life satisfaction statistics in the EU. METHODS: We used a three-level mixed effects logistic regression model to examine the effects of sociodemographic, macroeconomic and environmental factors on life satisfaction using a large sample size from Eurobarometer surveys (n = 268,696) representative of 27 EU countries. Data were collected through face-to-face interviews between May 2014 and June 2015. RESULTS: We found wide variation between countries, as well as between regions within the same country with regards to levels of life satisfaction. Having adjusted for individual sociodemographic factors, our analysis did not indicate statistically significant associations of mean temperature and precipitation with life satisfaction. However, there was a statistically significant association between environmental degradation and lower life satisfaction (OR = 0.98; 95% CI: 0.97-1.00). Consistent with existing literature, our results show statistically significant effects of sociodemographic factors such as sex, financial situation and employment on life satisfaction. CONCLUSIONS: Future research should extend analyses to a wider range of sociodemographic, macroeconomic and geographical variables to gain insight on all possible factors affecting life satisfaction to inform policy makers and ensure higher quality of life, and in turn better mental and physical health.

The association between occupational secondhand smoke exposure and life satisfaction among adults in the European Union.

BACKGROUND: Despite existing legislation, a large proportion of the European Union (EU) population is exposed to occupational secondhand smoke (SHS). The aim of this study was to explore associations between occupational exposure to SHS and self-reported life satisfaction. METHODS: We analysed data collected through the Eurobarometer survey (wave 82.4) from n = 11,788 individuals working in indoor spaces. The sample was representative of the population of the 28 EU member states. We fitted a multilevel logistic regression model adjusting for smoking, age, gender, occupation, area of residence, education, difficulty paying bills, marital status and social class. RESULTS: 27.5% of those working indoors reported at least some occupational exposure to SHS. People exposed to occupational SHS were less likely to report that they were satisfied with the life they lead (adjusted Odds Ratio = 0.72, 95% Confidence Interval: 0.60-0.87). The effect of occupational exposure on life satisfaction did not differ by smoking status, with all interaction terms between smoking status and occupational exposure to SHS not statistically significant. CONCLUSION: Exposure to SHS at the workplace does not only have negative consequences on physical health, but it can also impact life satisfaction of smokers and non-smokers. Our findings highlight the need for stricter enforcement of smokefree environments at the workplace in the EU.