Abstract
INTRODUCTION
This study characterises smoking and cessation-related behaviours among menthol and other flavoured cigarette users in Europe prior to the implementation of the European Tobacco Products Directive (TPD) ban on the sale of flavoured cigarettes.
METHODS
An analysis of cross-sectional data from the 2016 EUREST-PLUS ITC Europe Surveys was conducted among a sample of 10760 adult smokers from eight European Union Member States. Respondents were classified as menthol, other flavoured, unflavoured, or no usual flavour cigarette users and compared on smoking and cessation behaviours and characteristics. Data were analysed in SPSS Complex Samples Package using bivariate and multivariate regression analyses adjusted for sociodemographic characteristics, dependence, and country.
RESULTS
In bivariate analyses, cigarette flavour was significantly associated with all outcomes (p<0.001). After adjusting for sociodemographic characteristics, these associations attenuated but remained significant and in the same direction for dependence, self-efficacy, plans to quit, past quit attempts, and ever e-cigarette use. In fully adjusted models, compared to smokers of non-flavoured cigarettes, menthol smokers were less likely to smoke daily (AOR=0.47, 95% CI: 0.32–0.71), smoke within 30 min of waking (0.52,0.43–0.64), consider themselves addicted (0.74,0.59–0.94), and more likely to have ever used e-cigarettes (1.26,1.00–1.57); other flavoured cigarette smokers were less likely to smoke daily (0.33,0.15–0.77), and have higher self-efficacy (1.82,1.20–2.77); no usual flavour smokers were less likely to smoke daily (0.34,0.22–0.51), smoke within 30 min of waking (0.66,0.55–0.80), consider themselves addicted (0.65,0.52–0.78), have ever made a quit attempt (0.69,0.58–0.84), have ever used e-cigarettes (0.66,0.54–0.82), and had higher self-efficacy (1.46,1.19–1.80).
CONCLUSIONS
Smokers of different cigarette flavours in Europe differ on smoking and cessation characteristics. The lower dependence of menthol cigarette smokers could lead to greater success rates if quit attempts are made, however cross-country differences in smoking behaviours and quitting intentions could lead to the TPD ban on cigarette flavours having differential impact if not accompanied by additional measures, such as smoking cessation support.
Keywords: menthol cigarettes, Europe, smoking cessation, attitudes, cross-sectional
INTRODUCTION
The 2014 European Tobacco Product Directive (TPD)1 introduced a ban on the sales of menthol and flavoured cigarettes (MFCs) in the European Union member states (EU MS), with a transitional period for menthol cigarettes until May 20202. This ban aims to limit appeal and attractiveness of such cigarettes, particularly to young people, and could constitute an important opportunity to promote cessation among MFC smokers3. To date, most studies of menthol cigarette smokers have been conducted in the United States4-10, with little research available on European smokers11. The International Tobacco Control (ITC) Project conducted in eight European countries offers an opportunity to study the characteristics and behaviours of MFC smokers12. An earlier study using this sample has shown important differences in the prevalence of flavoured cigarette use between different European countries, as well as considerable differences in attitudes towards tobacco control policies between users of different cigarette flavours13. The present study extends this analysis to characterise the smoking and past cessation behaviours, motivation and self-efficacy to quit among MFC smokers in Europe.
A considerable minority of smokers use flavoured cigarettes, with menthol being the most popular13-15. The prevalence of menthol cigarette smoking in the United States among past 30-day smokers in 2012–2014 was 39%5, with the rates being highest among African-American smokers16. Prevalence of MFC smokers in Europe varies considerably across countries, and ranges from 6% in Spain to 15% in the UK13. MFCs are also more commonly used among younger smokers, less-established or novice smokers, and those who are experimenting with smoking14,17. MFCs have also been considered a gateway product, especially as some research suggests that switching from menthol to non-menthol cigarettes is more common than switching from non-menthol to menthol cigarettes18. Furthermore, prior research conducted in the US has pointed to higher levels of cigarette dependence among menthol cigarette smokers than unflavoured cigarette smokers19-21, although some studies have found no difference22.
The popularity of MFCs has been attributed to several factors. Flavouring, and especially menthol that has cooling and anaesthetic effects, can improve the smoking experience by masking or limiting some of the negative sensations associated with smoking, such as burning, throat pain, and cough14. The tobacco industry has been manipulating the menthol content of cigarettes to promote smoking initiation and sustain nicotine dependence23,24, and has actively advertised menthol brands, especially among ethnic groups and younger smokers in the US25. Analysis of tobacco industry research has also suggested that while younger and less experienced smokers may prefer menthol cigarettes due to the less harsh smoking experience, more dependent and experienced smokers may seek the menthol flavours for their strong sensory qualities26. Finally, menthol in cigarettes may improve nicotine intake, thus helping to maintain high enough nicotine levels among smokers who cannot afford to purchase and smoke more cigarettes per day19.
The aim of the present study was to cross-sectionally assess MFC smokers in eight of the EU MS on cigarette dependence, plans to quit and quitting self-efficacy, and past cessation behaviours prior to the implementation of the TPD. The findings could help inform tobacco control policies and smoking cessation campaigns to accompany the TPD ban on the sale of flavoured and menthol cigarettes.
METHODS
Design
This study was conducted within the context of the European Commission Horizon 2020 funded study entitled European Regulatory Science on Tobacco: Policy implementation to reduce lung diseases (EUREST-PLUS-HCO-06-2015). Cross-sectional analysis was conducted of data from current smokers aged ≥18 years from eight European EU MS participating in the ITC Project27. The countries included in the study were: Germany, Greece, Hungary, Poland, Romania and Spain (part of the EUREST–PLUS ITC Project, later referred to as 6E28-30), the Netherlands31,32, and England30,33,34. The survey in 6E was conducted using computer-assisted personal interviews (CAPI) and in the Netherlands and England through a web survey.
Sampled populations
The total sample analysed in this study comprised 10760 adult smokers from the eight European countries (n=6011 from the six countries of the ITC 6E Survey, n=3536 from ITC England, and n=1213 from ITC Netherlands, see details below). This sample was aged 43.2 (SE=0.19) years on average, 43.5% female, and 14.0% had higher education (for a detailed description of the sample, including the breakdown of prevalence of smoking of different cigarette flavours across sociodemographic groups and countries, see Zatoński et al.13 in the same supplement).
The ITC 6E Survey was conducted between 18 June 2016 and 12 September 201612,28. The surveyed sample comprised a nationally representative sample of adult cigarette smokers aged ≥18 years (about 1000 participants in each country). Sampling was done using geographical strata determined by Nomenclature of Territorial Units for Statistics (NUTS) regions crossed with degree of urbanization (urban, intermediate, rural). Approximately 100 area clusters were sampled in each country (allocated to strata proportionally to population size for people aged ≥18 years), with the aim of recruiting 10 adult smokers per cluster. Within each cluster, household addresses were sampled using a random walk design. One randomly selected male smoker and one randomly selected female smoker were chosen for interview from a sampled household, where possible. Screening of households continued until the required number of smokers from the cluster had been interviewed.
Data from England was nationally representative and came from Wave 1 of the ITC Four Country Smoking and Vaping Survey conducted between July and November 201630,33,34. Further details on the survey methodology are available elsewhere13,35. Only current adult smokers aged ≥18 years were included in the present analysis (n=3536).
Data for Wave 10 of the ITC Netherlands (NL) Survey31,32 were collected between November and December 2016. Respondents were 1696 adults aged ≥15 years recruited as cigarette smokers, who were part of a probability-based web database36. The nationally representative sample included 1318 respondents who had also participated in Wave 9 and 378 new respondents recruited to replenish dropouts37. Only current adult (aged ≥18 years) smokers were included in the analysis (n=1213).
Measurements
Cigarette flavour
Participants were asked if they had a usual cigarette brand and if they did, they were asked about the flavour of their usual brand: just tobacco (‘unflavoured tobacco’), tobacco and menthol (‘menthol’), or ‘other flavoured’. A final category of ‘no usual flavour’ included all remaining participants who either: a) reported having no usual brand, b) refused to answer or answered ‘don’t know’ to the question about having a usual brand, or c) reported having a usual brand but who did not provide information on the flavour of that brand.
Smoking dependence
Dependence was assessed using: i) smoking daily vs non-daily, ii) cigarettes smoked per day, iii) time to first cigarette, and iv) Heaviness of Smoking Index (HIS), scores ranging 0–6, with ≥4 suggesting greater dependence38; as well as self-perceived addiction levels (‘How addicted are you to cigarettes?’ with response ‘not at all’, ‘yes-somewhat addicted’, or ‘yes-very addicted’).
Motivation to quit
Respondents were asked:
‘Are you planning to quit smoking? within the next month/within the next 6 months/beyond 6 months/not at all/don’t know’. In the logistic regression the responses were dichotomised to ‘planning to quit in the next 6 months’ vs ‘all other’39-41.
Quitting self-efficacy
This involved two questions42 that assessed:
confidence to quit (‘If you decided to give up smoking completely in the next 6 months, how sure are you that you would succeed? Not at all sure or slightly sure/moderately sure/very sure or extremely sure’)43,44. In the logistic regression, the answers were dichotomised to ‘very or extremely sure’ vs ‘all other’; and
perceived difficulty of quitting (‘How difficult would it be for you to quit smoking if you wanted to? not at all/slightly/moderately/very/extremely’)45,46. For the purpose of logistic regression the answers were dichotomised to ‘not at all or slightly vs all other’.
Prior quit attempts and use of cessation aids
Data were collected on: i) having ever made a quit attempt (yes/no), and ii) having made a quit attempt in the past 12 months (yes/no). Participants who reported having made a quit attempt were asked about the use of any cessation aids during the last quit attempt (yes/no; combining any of nicotine products, medication on prescription, face-to-face support, quitline, cessation services, online support, and e-cigarettes). Due to only very few cases of refused to answer/don’t know or missing data for these variables, the data are reported as ‘yes’ vs ‘all other’. All participants were also asked about ‘ever hearing about e-cigarettes’, and those who responded affirmatively (n=8870) were asked about having ever used e-cigarettes; for the present analysis the variable on ever e-cigarette use was dichotomised into yes/no (with no including all other answers and participants who had not heard about e-cigarettes).
Sociodemographics (confounders and covariates)
The following sociodemographic variables were assessed: country, sex (male/female), age group (18–24/25–39/40–54/≥55 years), educational attainment (derived and standardised variable across countries: low/medium/high)47.
Statistical analysis
For the main analysis, data from all countries were pooled and analysed together using the Complex Samples package in SPSS 23.00 that accounted for the sampling procedure in each country. Sampling weights were also used to ensure results represent the population of smokers in each country. Missing data were not imputed (for sociodemographic and HSI variables, the missing data ranged from 0% for age and 7.2% for HSI; for independent variables missing data ranged from 0% for daily smoking to 17.5% for ever e-cigarette use). ‘Refused to answer/don’t know’ responses to individual questions were included in the ‘no’ category for dichotomous variables. Bivariate analyses (crosstabs for categorical and general linear models for continuous variables) compared smokers of different cigarette flavours on sociodemographic, smoking, quitting, and attitudinal variables. We present percentages and means and 95% confidence intervals (CI). Unless indicated, weighted number of participants are provided, rounded up to the nearest whole number.
We conducted unadjusted and adjusted logistic regression models to assess the relationship between cigarette flavour and categorical outcomes of interest. In all analyses, smokers of unflavoured tobacco were the reference group. The dependent variables were dichotomised outcomes of interest (being a daily smoker vs non-daily; smoking within the first 30 min of waking vs all other; HSI of ≥4 vs lower; considering oneself to be very addicted vs all others; ever having made a quit attempt vs not; having made a quit attempt in the past 12 months vs not; having used quit aids and e-cigarettes in the last quit attempt vs not; planning to quit in the next 6 months vs not; being very or extremely sure one could quit vs not; expecting quitting to be very or extremely difficult vs not. Findings from three models are reported: unadjusted (Model 1), partially adjusted for sociodemographic characteristics and dependence level (categorical variables: sex, age group, education level, and continuous variable HSI; Model 2), and fully adjusted with country variable added as an additional adjustment (Model 3). We report associated odds ratios (ORs) and 95% confidence intervals (95% CIs). The multivariable regression models assessed main effects, with all variables entered together. To adjust for multiple comparisons and familywise errors (about 10 tests for related outcomes), we used the Sidak correction to adjust alpha to <0.005 as a threshold for statistical significance.
RESULTS
The majority of smokers (88.1%) had a preferred cigarette brand. Unflavored tobacco was smoked by 77.4%, menthol by 7.4%, other flavoured by 2.9%, and 12.3% had no usual flavour. Table 1 presents results of bivariate comparisons of smokers of different cigarette brand flavours on cigarette dependence, as well as on smoking and quitting behaviours and attitudes.
Table 1.
Behaviour | Menthol | Other flavoured | Unflavoured tobacco | No usual flavour | Total | p |
---|---|---|---|---|---|---|
Cigarette dependence | ||||||
Smoking daily % (95% CI) | 78.8 (74.8–82.3) | 89.3 (83.3–93.3) | 94.0 (93.3–94.6) | 79.8 (76.7–82.6) | 90.9 (90.2–91.7) | <0.001 |
Cigarette smoked/day, % (95% CI) a | ||||||
≤10 | 64.5 (60.4–68.4) | 36.7 (29.6–44.5) | 37.3 (36.0–38.8) | 47.0 (43.1–51.2) | 40.5 (39.3–41.8) | <0.001 |
11–20 | 30.7 (27.0–34.6) | 49.6 (41.6–57.6) | 50.0 (48.6–51.3) | 39.1 (35.3–43.0) | 47.2 (46.0–48.5) | |
21–30 | 2.9 (1.9–4.5) | 7.2 (4.6–11.2) | 9.1 (8.3–9.9) | 9.4 (7.4–11.8) | 8.6 (7.9–9.3) | |
≥31 | 1.8 (1.0–3.3) | 6.4 (3.4–11.9) | 3.6 (3.1–4.2) | 4.4 (3.2–6.1) | 3.7 (3.2–4.2) | |
Minutes to first cigarette, % (95% CI)b | ||||||
>60 | 36.2 (31.7–40.9) | 19.3 (13.1–27.3) | 18.0 (16.9–19.1) | 25.2 (21.7–29.0) | 20.1 (19.0–21.2) | <0.001 |
31–60 | 16.7 (13.6–20.4) | 17.7 (13.0–23.7) | 16.2 (15.2–17.3) | 16.8 (14.0–20.0) | 16.4 (15.4–17.4) | |
6–30 | 33.9 (29.6–38.4) | 46.7 (39.4–54.1) | 45.1 (43.6–46.7) | 36.7 (32.7–40.1) | 43.5 (42.0–44.8) | |
≤5 | 13.2 (10.3–16.8) | 16.3 (10.0–25.6) | 20.7 (19.4–22.1) | 21.7 (18.5–25.3) | 20.2 (19.0–21.4) | |
HSI, Mean (95% CI)c | 1.70 (1.56–1.85) | 2.49 (2.22–2.75) | 2.50 (2.46–2.55) | 2.36 (2.21–2.50) | 2.43 (2.39–2.47) | <0.001 |
Consider themselves very addicted, % (95% CI) | 28.7 (25.0–32.7) | 34.6 (26.9–43.2) | 44.0 (42.5–45.6) | 30.5 (27.4–33.8) | 41.0 (39.6–42.3) | <0.001 |
Plans and attitudes on quitting | % (95% CI) | |||||
Plans to quit in the next 6 monthsd | 31.1 (27.1–35.5) | 17.5 (12.2–24.5) | 20.3 (19.2–21.4) | 20.4 (17.7–23.4) | 21.0 (20.0–22.0) | <0.001 |
Plans to quit in the future | ||||||
In the next month | 12.9 (10.0–16.4) | 3.1 (1.5–6.1) | 6.5 (5.8–7.2) | 7.7 (5.9–10.0) | 7.0 (6.4–7.7) | <0.001 |
Next 6 months | 18.3 (15.1–22.0) | 14.4 (9.7–21.0) | 13.8 (12.9–14.8) | 12.7 (10.6–15.0) | 14.0 (13.2–14.9) | |
Beyond 6 months | 33.7 (29.8–37.9) | 33.3 (25.8–41.8) | 31.4 (30.0–32.8) | 30.5 (27.4–33.9) | 31.5 (30.3–32.8) | |
Not planning to quit | 27.0 (23.3–31.1) | 42.7 (32.9–53.1) | 40.6 (39.1–42.1) | 39.6 (35.8–43.7) | 39.6 (38.2–40.9) | |
Don’t know | 8.1 (6.1–10.6) | 6.5 (3.1–13.0) | 7.7 (7.0–8.5) | 9.5 (7.3–12.3) | 7.9 (7.2–8.7) | |
SEF: confidence to quit (sure would succeed at quitting)e | ||||||
Not at all or slightly sure | 50.3 (45.8–54.8) | 62.5 (55.1–69.4) | 63.8 (62.4–65.1) | 52.6 (48.5–56.2) | 61.4 (60.1–62.2) | <0.001 |
Moderately sure | 30.6 (26.6–35.0) | 21.6 (16.5–27.8) | 23.2 (22.0–24.5) | 27.3 (23.9–31.0) | 24.2 (23.1–25.4) | |
Very or extremely sure | 19.1 (15.8–22.9) | 15.9 (10.8–22.9) | 13.0 (12.0–14.0) | 20.3 (17.3–23.8) | 14.4 (13.5–15.4) | |
SEF: perceived difficulty of quitting (how hard to quit completely)f | ||||||
Not at all or slightly | 27.5 (23.8–31.6) | 29.3 (22.1–37.8) | 20.0 (19.0–21.4) | 29.8 (26.4–33.3) | 22.1 (21.0–23.3) | <0.001 |
Moderately | 20.3 (17.0–24.1) | 22.2 (17.3–28.0) | 20.8 (19.6–22.1) | 25.6 (22.1–29.3) | 21.4 (20.3–22.5) | |
Very or extremely | 52.2 (47.8–56.5) | 48.5 (40.4–56.5) | 59.0 (57.6–60.5) | 44.7 (40.9–48.6) | 56.5 (55.1–57.8) | |
History of quitting | % (95% CI) | |||||
Ever tried to quit | 70.3 (66.2–74.1) | 59.8 (52.9–66.4) | 64.0 (62.4–65.6) | 54.1 (49.9–58.2) | 63.1 (61.7–64.5) | <0.001 |
QA in the past 12 months* | 42.1 (37.8–46.5) | 23.8 (17.8–31.2) | 27.7 (26.4–28.9) | 24.3 (21.3–27.6) | 28.2 (27.1–29.3) | <0.001 |
Cessation aids in last QA* | 29.1 (24.6–34.0) | 23.2 (16.1–32.4) | 20.2 (18.8–21.6) | 19.3 (16.0–23.2) | 20.9 (19.7–22.2) | 0.002 |
Ever used e-cigarettes | 53.3 (49.0–57.6) | 33.9 (26.6–42.0) | 38.5 (37.0–39.9) | 29.8 (26.4–33.4) | 38.4 (37.1–39.6) | <0.001 |
Missing from 1.1%;
Missing from 6.7%;
Missing among 7.2%;
7.9% of don’t know and 0.1% refused to answer were incorporated into ‘not planning to quit’;
Missing from 4.1%;
Missing from 1.8%;
HSI: Heaviness of Smoking Index; SEF: Self-efficacy; QA: quit attempt;
Assessed among smokers who ever made a quit attempt, cessation aids included: behavioural support, use of websites, pharmacotherapy, and e-cigarettes.
Dependence levels
The great majority of smokers smoked cigarettes daily (90.9%), and had moderate HSI levels (mean=2.4) (Table 1). A large minority (41.0%) considered themselves to be very addicted. In the unadjusted analyses, the flavour of the preferred cigarette brand was significantly associated with all measures of cigarette dependence (Tables 1 and 2, unadjusted Model 1). Menthol cigarette smokers had the lowest levels of daily smoking, a lower HSI index, were less likely to smoke within 30 min of waking, and considered themselves less addicted. Smokers of other flavoured cigarettes had a dependence profile more similar to that of unflavoured tobacco smokers. In the fully adjusted analysis (Table 2, Model 3) with unflavoured tobacco being the reference group, menthol, other flavoured, and no usual flavour cigarette users were significantly less likely to smoke daily (AOR=0.47, 95% CI: 0.32–0.71; 0.33, 0.15–0.77; 0.34, 0.22–0.51, respectively). Menthol and no usual flavour smokers were less likely to smoke within 30 min of waking (AOR=0.52, 95% CI: 0.43–0.64; 0.66, 0.55–0.80, respectively) or to consider themselves to be very addicted to cigarettes (AOR=0.74, 95% CI: 0.59–0.94; 0.65, 0.52–0.78, respectively).
Table 2.
Outcome of interest | Model 1 OR ( 95% CI) | p* | Model 2a AOR ( 95% CI) | p* | Model 3b AOR ( 95% CI) | p* |
---|---|---|---|---|---|---|
Cigarette dependence | ||||||
Smoking daily vs notc | ||||||
Menthol | 0.24 (0.19–0.31) | <0.001 | 0.37 (0.25–0.54) | <0.001 | 0.47 (0.32–0.71) | <0.001 |
Other flavoured | 0.53 (0.31–0.91) | 0.49 (0.23–1.00) | 0.33 (0.15–0.77) | |||
No usual flavour | 0.25 (0.20–0.31) | 0.41 (0.29–0.60) | 0.34 (0.22–0.51) | |||
Cigarette dependence | ||||||
Smoke within 30 min of wakingd | ||||||
Menthol | 0.46 (0.38–0.56) | <0.001 | 0.54 (0.44–0.66) | <0.001 | 0.52 (0.43–0.64) | <0.001 |
Other flavoured | 0.80 (0.63–1.23) | 0.86 (0.62–1.21) | 0.86 (0.59–1.24) | |||
No usual flavour | 0.72 (0.60–0.86) | 0.72 (0.59–0.86) | 0.66 (0.55–0.80) | |||
HIS score ≥4c | ||||||
Menthol | 0.47 (0.235–0.62) | <0.001 | 0.60 (0.45–0.89) | 0.003 | 0.63 (0.47–0.83) | 0.011 |
Other flavoured | 0.88 (0.60–1.28) | 0.85 (0.60–1.22) | 0.80 (0.54–1.19) | |||
No usual flavour | 1.07 (0.88–1.31) | 1.07 (0.87–1.30) | 1.03 (0.84–1.26) | |||
Consider themselves very addicted | ||||||
Menthol | 0.51 (0.42–0.62) | <0.001 | 0.80 (0.64–1.01) | <0.001 | 0.74 (0.59–0.94) | <0.001 |
Other flavoured | 0.67 (0.47–0.97) | 0.63 (0.43–1.02) | 0.71 (0.47–1.08) | |||
No usual flavour | 0.56 (0.48–0.66) | 0.63 (0.52–0.77) | 0.65 (0.52–0.78) | |||
Quitting plans and self-efficacy | ||||||
Plan to quit in the next 6 months vs all other | ||||||
Menthol | 1.82 (1.47–2.25) | <0.001 | 1.32 (1.05–1.68) | 0.032 | 1.05 (0.82–1.35) | 0.978 |
Other flavoured | 0.82 (0.52–1.26) | 0.76 (0.50–1.16) | 0.99 (0.65–1.50) | |||
No usual flavour | 1.03 (0.85–1.25) | 0.90 (0.73–1.12) | 1.02 (0.82–1.28) | |||
Very or extremely sure they could quit vs all other | ||||||
Menthol | 1.74 (1.44–2.10) | <0.001 | 1.20 (0.97–1.48) | 0.002 | 1.11 (0.90–1.38) | 0.003 |
Other flavoured | 1.06 (0.77–1.45) | 0.95 (0.69–1.30) | 0.99 (0.72–1.36) | |||
No usual flavour | 1.60 (1.36–1.89) | 1.40 (1.17–1.68) | 1.40 (1.17–1.68) | |||
Expect quitting to be not at all or slightly difficult vs all other | ||||||
Menthol | 1.50 (1.23–1.85) | <0.001 | 1.03 (0.81–1.31) | <0.001 | 1.28 (1.00–1.65) | <0.001 |
Other flavoured | 1.65 (1.12–2.43) | 1.87 (1.19–2.92) | 1.82 (1.20–2.77) | |||
No usual flavour | 1.68 (1.40–2.01) | 1.48 (1.21–1.82) | 1.46 (1.19–1.80) | |||
Prior cessation behaviour | ||||||
Ever made a QA | ||||||
Menthol | 1.33 (1.09–1.62) | <0.001 | 1.16 (1.03–1.32) | <0.001 | 1.13 (0.91–1.40) | 0.001 |
Other flavoured | 0.84 (0.63–1.12) | 1.21 (1.03–1.42) | 0.97 (0.69–1.36) | |||
No usual flavour | 0.66 (0.56–0.79) | 1.28 (0.78–2.09) | 0.69 (0.58–0.84) | |||
QA in the past 12 months | ||||||
Menthol | 1.90 (1.57–2.29) | <0.001 | 1.45 (1.18–1.78) | <0.001 | 1.20 (0.98–1.50) | 0.045 |
Other flavoured | 0.82 (0.56–1.19) | 0.77 (0.54–1.09) | 0.92 (0.64–1.32) | |||
No usual flavour | 0.84 (0.70–1.01) | 0.73 (0.60–0.89) | 0.81 (0.66–1.00) | |||
Last QA: used any cessation supportc | ||||||
Menthol | 1.62 (1.27–2.07) | 0.001 | 1.35 (1.03–1.77) | 0.043 | 1.01 (0.75–1.36) | 0.669 |
Other flavoured | 1.20 (0.75–1.91) | 1.08 (0.69–1.71) | 1.35 (0.83–2.17) | |||
No usual flavour | 0.95 (0.74–1.22) | 0.81 (0.61–1.07) | 1.06 (0.79–1.42) | |||
Ever used e-cigarettes | ||||||
Menthol | 1.83 (1.52–2.20) | <0.001 | 1.56 (1.28–1.92) | <0.001 | 1.26 (1.00–1.57) | <0.001 |
Other flavoured | 0.82 (0.58–1.17) | 0.85 (0.58–1.24) | 1.12 (0.73–1.74) | |||
No usual flavour | 0.68 (0.57–0.81) | 0.57 (0.47–0.70) | 0.66 (0.54–0.82) |
AOR: adjusted odds ratio; HSI: Heaviness of Smoking Index; QA: quit attempt;
Model 2: adjusted for sex, age, education, and HSI;
Model 3: adjusted for sex, age, education, HSI, and country;
Model was not adjusted for HSI;
OR and AOR for a model with the variable dichotomised into ‘smokes within 5 min/all other’ were comparable, but not significant.
p-values are for the overall model effect of the variable cigarette flavour in each model.
Plans and self-efficacy to quit
A considerable proportion (39.6%) of smokers were not planning to quit, and only 21.0% planned to quit in the next 6 months. The majority had low quitting self-efficacy (61.4% were not at all or slightly sure they could succeed at quitting and 56.5% believed quitting would be very or extremely hard) (Table 1). In the bivariate analysis, cigarette flavour was significantly associated with plans and self-efficacy to quit, with unflavoured tobacco users having the lowest self-efficacy and menthol tobacco users having more immediate plans to quit (Table 1; Model 1 in Table 2). In the fully adjusted analysis (Table 2, Model 3), cigarette flavour was not significantly associated with plans to quit. Cigarette flavour remained significantly predictive of self-efficacy at quitting, with no usual flavour smokers having higher odds for higher self-efficacy for being sure they could quit (AOR=1.40, 95% CI: 1.17–1.68) or not considering quitting as difficult (AOR=1.46, 95% CI: 1.19–1.80). Other flavoured cigarette users had higher odds of expecting quitting not to be difficult (AOR=1.81, 95% CI: 1.20–2.77).
Prior cessation behaviour
Over 63% of smokers had ever made a quit attempt, 28.2% had made a quit attempt in the past 12 months, and 20.9% had used some cessation aids (except e-cigarettes) during their last quit attempt, and 38.4% had ever tried e-cigarettes (Table 1). In the unadjusted and partially adjusted models (Table 1, Models 1 and 2 in Table 2), cigarette flavour was significantly associated with these prior cessation behaviours. These behaviours were significantly more prevalent among menthol smokers in comparison to unflavoured tobacco smokers. The relationships between cigarette flavour and cessation behaviours were attenuated once country was controlled in the fully adjusted models (Model 3, Table 2); no usual flavour smokers were less likely to have ever made a quit attempt (AOR=0.69, 95% CI: 0.58–0.84) or have ever used e-cigarette (AOR=0.66, 95% CI: 0.54–0.82). Menthol cigarette users were more like to have ever used e-cigarettes (AOR=1.26, 95% CI: 1.00–1.57).
DISCUSSION
This cross-sectional multi-country study is among the first to explore flavoured cigarette smoking and cessation patterns, behaviours, quitting motivation and self-efficacy among European MFC smokers. The preference for flavoured cigarettes, and particularly menthol cigarettes, was significantly associated with lower smoking dependence, higher quitting self-efficacy, having made an attempt to quit in the past 12 months, having used any cessation aids, and ever use of e-cigarettes, after we accounted for sociodemographic and dependence characteristics. However, part of this association was accounted for by the country, since its inclusion in the model attenuated the association between cigarette flavours and cessation behaviours. Since many of the characteristics of menthol cigarette smokers are associated with quitting behaviours and success, these results suggest that the upcoming EU-wide TPD ban on additives may create an opportunity for increased cessation rates, but not all countries may see the same degree of benefit.
Smokers of different flavoured cigarettes were not a homogeneous group and were characterised by different levels of dependence levels, prior cessation behaviours as well as quitting self-efficacy. These differences are also consistent with findings from earlier analyses based on the same dataset, which demonstrated differences in the sociodemographic profile of smokers of menthol and other flavoured cigarettes, as well as their attitudes towards tobacco control measures13.
Importantly, compared to smokers of unflavoured tobacco, smokers of menthol cigarettes tended to be significantly less nicotine dependent, including as assessed with time to first cigarette (a good indicator of dependence for menthol cigarette smokers20) and viewed themselves as less heavily addicted. This is an important finding, as lower dependence is a consistent predictor of cessation success when quit attempts are made48,49. Interestingly, these findings are in contrast to many of the earlier observations on menthol smokers in the US suggesting similar22 or higher dependence levels14,17, which may also be contributing to greater difficulties with quitting among this group19,50-52. The difference in findings may be due to the fact that different brands of menthol cigarettes may contain different levels of nicotine, and the number of cigarettes smoked per day may not reflect the actual intensity of smoking and thus the actual nicotine intake6,19. Additionally, social idiosyncrasies might also play a role in the US, where high levels of menthol smoking are concentrated almost entirely among minority populations, and in particular among African-American smokers, who are nearly 11 times more likely to use menthol cigarettes than White smokers53.
In unadjusted analyses, cigarette flavour was significantly associated with plans to quit, self-efficacy, and prior cessation behaviour. Menthol cigarette smokers tended to be more likely to plan to quit in the next 6 months, had higher self-efficacy, and engaged with more cessation-related behaviours, all of which are associated with future cessation success42,48,54. They also had higher odds of ever use of e-cigarettes. These observations suggest that menthol smokers in Europe might be more likely to succeed if they attempt to quit. However, while a ban on menthol and other flavourings could trigger a quit attempt, it could also lead to alternative behaviours undesirable from a tobacco control point of view. In fact, MFC smokers have declared a gamut of intentions following the ban, ranging from quitting or reducing the amount smoked, to switching to another brand, or even finding a way to get the banned product – with the latter two options indicated most frequently13.
Furthermore, many of the differences in plans to quit, self-efficacy, and cessation behaviours were diminished in the adjusted analyses, especially after controlling for country. Important differences exist between European countries in implementation of tobacco control measures and offering cessation support55,56. These differences affect opportunities of smokers to engage with evidence-based support and are also likely to influence smokers’ cessation efforts, plans and self-efficacy57,58. Thus, while smokers of different flavoured cigarettes may differ on important characteristics related to smoking and cessation, the circumstances in their countries remain important predictors. Countries should implement best practice strategies in tobacco control and offer smoking cessation support.
The EU TPD ban on additives, including menthol and other flavourings, will have an impact on a significant minority of current smokers in Europe, of which menthol smokers are the largest group. The present findings show that smokers of menthol cigarettes demonstrate many characteristics that are positively associated with initiating quitting and remaining abstinent. Therefore, if menthol smokers are prompted to make a quit attempt, their success rates may be relatively higher48,59. Efforts at reducing smoking prevalence in countries such as England and Poland, where the proportion of MFC smokers is particularly high (almost 15%), as well as among female smokers, among whom MFC use (13.7%) is almost twice as high as among men, are particularly well placed to benefit from the ban13.
However, an earlier study assessing the plans of the same population of smokers in Europe in response to the TPD ban suggests that only a minority would consider quitting smoking due to the ban, and even more smokers are still not sure how they will react to the ban13. This study suggests that activities focused on supporting menthol smokers to initiate quitting during the implementation of the TPD ban on additives could increase cessation and lead to favourable public health outcomes. Such activities could be delivered by governmental and healthcare institutions, but also non-governmental organisations and charities. At the same time, the relationship between cessation behaviours and countries that emerged in this study provides an indication that the biggest challenges, but also opportunities for TPD ban on additives, will be in countries where smokers make fewer attempts, have lower motivation to quit, and use fewer cessation aids.
Strengths and limitations
This was the first study to comprehensively characterise the smoking and quitting behaviours and perceptions of MFC smokers in European countries. We were also able to compare these smokers on a range of characteristics that were shown to be associated with cessation behaviour and success in previous studies. However, the study has some limitations. First, the study was cross-sectional and thus precludes any causal interpretation of associations found. Future research will need to assess cessation behaviour and outcomes prospectively. Second, all respondents were current smokers, which precluded making comparisons between successful and unsuccessful quit attempts and assessing predictors of cessation outcomes. Third, the wording of survey questions did not allow for making a distinction between smokers who used menthol or other flavoured cigarettes predominantly or only in conjunction with unflavoured tobacco. Fourth, residual confounding due to unassessed or imperfectly measured confounders is possible, such as the duration of menthol cigarette use among the sample, which was shown previously to be associated with smoking and quitting behaviour26. Finally, there exist important differences in prevalence of use of different flavours of cigarettes13 and in cessation behaviour between European countries57, and interaction between variables may exist that pose challenges to interpreting the main effects. However, due to too few cases of menthol and flavoured cigarette users in each country, assessing such interactions is not possible. Future research should explore the differences between different tobacco users across countries.
CONCLUSIONS
In the eight European countries there seem to be important differences in the smoking and cessation profile, behaviours, and self-efficacy between smokers of menthol, flavoured, unflavoured tobacco, and those with no usual brand. The lower dependence levels among menthol and flavoured cigarette users is particularly encouraging as lower dependence is predictive of cessation success. In the light of the EU TPD ban on characterising flavours in tobacco products in the EU, tobacco control activities should focus on increasing quit attempts of menthol smokers, which could translate into greater cessation rates.
ACKNOWLEDGEMENTS
The EUREST-PLUS Project takes place with the financial support of the European Commission, Horizon 2020 HCO-6-2015 programme (EUREST-PLUS: 681109; CV) and the University of Waterloo (GTF). Additional support was provided to the University of Waterloo by the Canadian Institutes of Health Research (FDN-148477). GTF was supported by a Senior Investigator Grant from the Ontario Institute for Cancer Research. EF was supported by the Instituto de Salud Carlos III, Government of Spain (INT16/00211 and INT17/00103), co-funded by the European Regional Development Fund (FEDER), and by Ministry of Universities and Research, Government of Catalonia (2017SGR319). The Wave 1 of the ITC 4 Country E-cigarette Project in England was supported by grant P01 CA200512-01 from the National Cancer Institute of the USA, and a Foundation Grant (118096) from the Canadian Institute of Health Research. The Wave 10 of the Netherlands Project was supported by the Dutch Cancer Foundation (KWF) (UM 2014-7210). Partnering organizations include the European Network on Smoking Prevention (Belgium), Kings College London (United Kingdom), German Cancer Research Centre (Germany), Maastricht University (The Netherlands), National and Kapodistrian University of Athens (Greece), Aer Pur Romania (Romania), European Respiratory Society (Switzerland), the University of Waterloo (Canada), The Institute Català d’Oncologia (Spain), Smoking or Health Hungarian Foundation (Hungary), Health Promotion Foundation (Poland), University of Crete (Greece), and Kantar Public Brussels (Belgium).
CONFLICTS OF INTEREST
The authors declare that they have no competing interests, financial or otherwise, related to the current work. K. Przewoźniak reports grants and personal fees from the Polska Liga Walki z Rakiem (Polish League Against Cancer) and grants and personal fees from World Health Organization, outside the submitted work. C.I. Vardavas reports that he is the Strategic Development Editor of TID and that there are no conflicts of interest with this current work. The rest of the authors have also completed and submitted an ICMJE form for disclosure of potential conflicts of interest.
FUNDING
The EUREST-PLUS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 681109 (C.I.V.) and the University of Waterloo (G.T. Fong). Additional support was provided to the University of Waterloo by the Canadian Institutes of Health Research (FDN-148477). G.T. Fong was supported by a Senior Investigator Grant from the Ontario Institute for Cancer Research. E. Fernández is partly supported by Ministry of Universities and Research, Government of Catalonia (2017SGR319) and by the Instituto Carlos III and co-funded by the European Regional Development Fund (FEDER) (INT16/00211 and INT17/00103), Government of Spain.
PROVENANCE AND PEER REVIEW
Commissioned; externally peer reviewed.
REFERENCES
- 1.Directive 2014/40/EU of the European Parliament and of the Council of 3 April 2014 on the approximation of the laws, regulations and administrative provisions of the Member States concerning the manufacture, presentation and sale of tobacco and related products and repealing Directive 2001/37/EC (Text with EEA relevance) http://data.europa.eu/eli/dir/2014/40/2015-01-06. Accessed March 5, 2019. [PubMed]
- 2.Zatoński M. Evidence-based policy making? The case of Polish opposition to the EU Tobacco Products Directive. Journal of Health Inequalities. 2016;1:36–39. doi: 10.5114/jhi.2016.61418. [DOI] [Google Scholar]
- 3.European Commission Questions & Answers: New rules for tobacco products. 2014. https://europa.eu/rapid/press-release_MEMO-14-134_en.htm. Accessed March 5, 2019.
- 4.Okuyemi KS, Ebersole-Robinson M, Nazir N, Ahluwalia JS. African-American menthol and nonmenthol smokers: differences in smoking and cessation experiences. J Natl Med Assoc. 2004;96(9):1208–1211. [PMC free article] [PubMed] [Google Scholar]
- 5.Villanti AC, Mowery PD, Delnevo CD, Niaura RS, Abrams DB, Giovino GA. Changes in the prevalence and correlates of menthol cigarette use in the USA, 2004-2014. Tob Control. 2016;25(Suppl 2):ii14–ii20. doi: 10.1136/tobaccocontrol-2016-053329. [DOI] [PubMed] [Google Scholar]
- 6.Muscat J, Richie J, Stellman S. Mentholated cigarettes and smoking habits in whites and blacks. Tob Control. 2002;11(4):368–371. doi: 10.1136/tc.11.4.368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rose SW, Sherry EL, Ennett S, McNaughton Reyes HL, Scott JC, Kurt RM. Public Support for Family Smoking Prevention and Tobacco Control Act Point-of-Sale Provisions: Results of a National Study. Am J Public Health. 2015;105(10):e60–e67. doi: 10.2105/ajph.2015.302751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.O’Connor RJ, Bansal-Travers M, Carter LP, Cummings KM. What would menthol smokers do if menthol in cigarettes were banned? Behavioral intentions and simulated demand. Addiction. 2012;107(7):1330–1338. doi: 10.1111/j.1360-0443.2012.03822.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Feirman SP, Lock D, Cohen JE, Holtgrave DR, Li T. Flavored Tobacco Products in the United States: A Systematic Review Assessing Use and Attitudes. Nicotine Tob Res. 2016;18(5):739–749. doi: 10.1093/ntr/ntv176. [DOI] [PubMed] [Google Scholar]
- 10.Wackowski OA, Manderski MT, Delnevo CD. Young Adults’ Behavioral Intentions Surrounding a Potential Menthol Cigarette Ban. Nicotine Tob Res. 2014;16(6):876–80. doi: 10.1093/ntr/ntu003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kaleta D, Usidame B, Szosland-Fałtyn A, Makowiec-Dąbrowska T. Use of flavoured cigarettes in Poland: data from the global adult tobacco survey (2009-2010) BMC Public Health. 2014;14:127. doi: 10.1186/1471-2458-14-127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fong GT, Thompson ME, Boudreau C, et al. The Conceptual Model and Methods of Wave 1 (2016) of the EUREST-PLUS ITC 6 European Countries Survey. Tob Induc Dis. 2018;16(Suppl 2):A3. doi: 10.18332/tid/99881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zatoński M, Herbeć A, Zatoński W, et al. Characterising smokers of menthol and flavoured cigarettes, their attitudes towards tobacco regulation, and the anticipated impact of the Tobacco Products Directive on their smoking and quitting behaviours: The EUREST-PLUS ITC Europe Surveys. Tob Induc Dis. 2018;16(Suppl 2):A4. doi: 10.18332/tid/96294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.World Health Organization . Banning menthol in tobacco products: Study Group on Tobacco Product Regulation (TobReg) Geneva, Switzerland: World Health Organization; 2016. https://apps.who.int/iris/bitstream/handle/10665/205928/9789241510332_eng.pdf;jsessionid=F8E52152FDD0F8FDCDB04C8F734DB8DB?sequence=1. Accessed March 5, 2019. [Google Scholar]
- 15.The influence of the availability of menthol cigarettes on youth smoking prevalence. Oxford Economics; 2012. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/229776/DE795779_Attachment_2_-_Oxford_Economics_The_influence_of_the_availability_of_ment.pdf. Accessed March 5, 2019. [Google Scholar]
- 16.Stahre M1, Okuyemi KS, Joseph AM, Fu SS. Racial/ethnic differences in menthol cigarette smoking, population quit ratios and utilization of evidence-based tobacco cessation treatments. Addiction. 2010;105(Suppl 1):75–83. doi: 10.1111/j.1360-0443.2010.03200.x. [DOI] [PubMed] [Google Scholar]
- 17.Hersey JC, Wen NS, Nonnemaker J, et al. Are Menthol Cigarettes a Starter Product for Youth? Nicotine Tob Res. 2006;8(3):403–413. doi: 10.1080/14622200600670389. [DOI] [PubMed] [Google Scholar]
- 18.Kasza KA, Hyland AJ, Bansal-Travers M, et al. Switching between menthol and nonmenthol cigarettes: findings from the U.S. Cohort of the International Tobacco Control Four Country Survey. Nicotine Tob Res. 2014;16(9):1255–1265. doi: 10.1093/ntr/ntu098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Foulds J, Hooper MW, Pletcher MJ, Okuyemi KS. Do smokers of menthol cigarettes find it harder to quit smoking? Nicotine Tob Res. 2010;12(Suppl 2):S102–109. doi: 10.1093/ntr/ntq166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hoffman AC, Simmons D. Menthol cigarette smoking and nicotine dependence. Tob Induc Dis. 2011;9(Suppl 1):S5. doi: 10.1186/1617-9625-9-S1-S5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yerger VB. Menthol’s potential effects on nicotine dependence: a tobacco industry perspective. Tob Control. 2011;20(Suppl 2):ii29–ii36. doi: 10.1136/tc.2010.041970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Curtin GM, Sulsky SI, Van Landingham C, et al. Primary measures of dependence among menthol compared to non-menthol cigarette smokers in the United States. Regul Toxicol Pharmacol. 2014;69(3):451–466. doi: 10.1016/j.yrtph.2014.05.011. [DOI] [PubMed] [Google Scholar]
- 23.Kreslake JM, Wayne GF, Alpert HR, Koh HK, Connolly GN. Tobacco industry control of menthol in cigarettes and targeting of adolescents and young adults. Am J Public Health. 2008;98(9):1685–1892. doi: 10.2105/AJPH.2007.125542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Anderson SJ. Menthol cigarettes and smoking cessation behaviour: a review of tobacco industry documents. Tob Control. 2011;20(Suppl 2):ii49–ii56. doi: 10.1136/tc.2010.041947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Richardson A, Ganz O, Pearson J, Celcis N, Vallone D, Villanti AC. How the industry is marketing menthol cigarettes: the audience, the message and the medium. Tob Control. 2015;24(6):594–600. doi: 10.1136/tobaccocontrol-2014-051657. [DOI] [PubMed] [Google Scholar]
- 26.Kreslake J, Wayne GF, Connolly G. The menthol smoker: tobacco industry research on consumer sensory perception of menthol cigarettes and its role in smoking behavior. Nicotine Tob Res. 2008;10(4):705–715. doi: 10.1080/14622200801979134. [DOI] [PubMed] [Google Scholar]
- 27.Fong GT, Cummings KM, Borland R, et al. The conceptual framework of the International Tobacco Control (ITC) Policy Evaluation Project. Tob Control. 2006;15(Suppl 3):iii3–iii11. doi: 10.1136/tc.2005.015438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.ITC Project . ITC 6 European Country Wave 1 (2016) Technical Report. Brussels, Belgium: University of Waterloo, Waterloo, Ontario, Canada, and European Network on Smoking and Tobacco Prevention; 2017. https://itcproject.org/files/ITC6E_Wave1_TechRpt[3].pdf. Accessed March 5, 2019. [Google Scholar]
- 29.Vardavas CI, Bécuwe N, Demjén T, et al. Study Protocol of European Regulatory Science on Tobacco (EUREST-PLUS): Policy implementation to reduce lung disease. Tob Induc Dis. 2018;16(Suppl 2):A2. doi: 10.18332/tid/93305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.ITC Project . ITC Four Country Smoking and Vaping Survey, Wave 1 (4CV1) Technical Report. Brussels, Belgium: University of Waterloo, Waterloo, Ontario, Canada, and European Network on Smoking and Tobacco Prevention; 2017. http://www.itcproject.org/files/4CV1_Technical_Report_20July2018.pdf. Accessed March 5, 2019. [Google Scholar]
- 31.ITC Project Nertherlands. 2014. http://www.itcproject.org/countries/netherlands. Accessed March 5, 2019.
- 32.ITC Project . ITC Netherlands Survey Wave 1 to 8 (2008-2014) Technical Report. The Netherlands: University of Waterloo, Waterloo, Ontario, Canada and Maastricht University; 2015. https://www.itcproject.org/files/ITC_NLWaves1-8TechReport-v2.pdf. Accessed March 5, 2019. [Google Scholar]
- 33.Thompson ME, Fong GT, Hammond D, et al. Methods of the International Tobacco Control (ITC) Four Country Survey. Tob Control. 2006;15(Suppl 3):iii12–iii18. doi: 10.1136/tc.2005.013870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.ITC Project Evaluating How Tobacco Control Policies are Shaping the Nicotine Delivery Market. 2014. http://www.itcproject.org/node/152. Accessed March 5, 2019.
- 35.Thompson ME, Fong GT, Boudreau C, et al. Methods of the ITC Four Country Smoking and Vaping Survey, wave 1 (2016) Addiction. 2018 doi: 10.1111/add.14528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Nagelhout GE, Willemsen MC, Thompson ME, Fong GT, van den Putte B, de Vries H. Is web interviewing a good alternative to telephone interviewing? Findings from the International Tobacco Control (ITC) Netherlands survey. BMC Public Health. 2010;10(1):351. doi: 10.1186/1471-2458-10-351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zethof D, Nagelhout GE, de Rooij M, et al. Attrition analysed in five waves of a longitudinal yearly survey of smokers: findings from the ITC Netherlands survey. Eur J Public Health. 2016;26(4):693–699. doi: 10.1093/eurpub/ckw037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Etter JF, Duc TV, Perneger TV. Validity of the Fagerstrom test for nicotine dependence and of the Heaviness of Smoking Index among relatively light smokers. Addiction. 1999;94(2):269–281. doi: 10.1046/j.1360-0443.1999.94226910.x. [DOI] [PubMed] [Google Scholar]
- 39.Borland R, Partos TR, Yong HH, Cummings KM, Hyland A. How much unsuccessful quitting activity is going on among adult smokers? Data from the International Tobacco Control Four Country cohort survey. Addiction. 2012;107(3):673–382. doi: 10.1111/j.1360-0443.2011.03685.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Hummel K, Brown J, Willemsen MC, West R, Kotz D. External validation of the Motivation To Stop Scale (MTSS): findings from the International Tobacco Control (ITC) Netherlands Survey. Eur J Public Health. 2017;27(1):129–134. doi: 10.1093/eurpub/ckw105. [DOI] [PubMed] [Google Scholar]
- 41.Marques-Vidal P, Melich-Cerveira J, Paccaud F, Waeber G, Vollenweider P, Cornuz J. Prevalence and factors associated with difficulty and intention to quit smoking in Switzerland. BMC Public Health. 2011;11(1):227. doi: 10.1186/1471-2458-11-227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Gwaltney CJ, Metrik J, Kahler CW, Shiffman S. Self-efficacy and smoking cessation: a meta-analysis. Psychol Addict Behav. 2009;23(1):56–66. doi: 10.1037/a0013529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Borland R, Yong HH, Balmford J, et al. Motivational factors predict quit attempts but not maintenance of smoking cessation: findings from the International Tobacco Control Four country project. Nicotine Tob Res. 2010;12(Suppl 1):S4–S11. doi: 10.1093/ntr/ntq050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Siahpush M, Borland R, Yong HH. Sociodemographic and psychosocial correlates of smoking-induced deprivation and its effect on quitting: findings from the International Tobacco Control Policy Evaluation Survey. Tob Control. 2007;16(2):e2. doi: 10.1136/tc.2006.016279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Waters EA, Janssen E, Kaufman A, et al. The Relationship Between Young Adult Smokers’ Beliefs About Nicotine Addiction and Smoking-Related Affect and Cognitions. J Cancer Educ. 2016;31(2):338–347. doi: 10.1007/s13187-015-0819-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Duffy SA, Scheumann AL, Fowler KE, Darling-Fisher C, Terrell JE. Perceived difficulty quitting predicts enrollment in a smoking-cessation program for patients with head and neck cancer. Oncol Nurs Forum. 2010;37(3):349–356. doi: 10.1188/10.onf.349-356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kyriakos C, Filippidis F, Hitchman S, et al. Characteristics and correlates of electronic cigarette product attributes and undesirable events during e-cigarette use in six countries of the EUREST-PLUS ITC Europe Surveys. Tob Induc Dis. 2018;16(Suppl 2):A1. doi: 10.18332/tid/93545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hyland A, Borland R, Li Q, et al. Individual-level predictors of cessation behaviours among participants in the International Tobacco Control (ITC) Four Country Survey. Tob Control. 2006;15(Suppl 3):iii83–iii94. doi: 10.1136/tc.2005.013516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ussher M, Kakar G, Hajek P, West R. Dependence and motivation to stop smoking as predictors of success of a quit attempt among smokers seeking help to quit. Addict Behav. 2016;53:175–180. doi: 10.1016/j.addbeh.2015.10.020. [DOI] [PubMed] [Google Scholar]
- 50.Levy DT, Blackman K, Tauras J, et al. Quit attempts and quit rates among menthol and nonmenthol smokers in the United States. Am J Public Health. 2011;101(7):1241–1247. doi: 10.2105/ajph.2011.300178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Keeler C, Max W, Yerger V, Yao T, Ong MK, Sung HY. The Association of Menthol Cigarette Use With Quit Attempts, Successful Cessation, and Intention to Quit Across Racial/Ethnic Groups in the United States. Nicotine Tob Res. 2017;19(12):1450–1464. doi: 10.1093/ntr/ntw215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Smith SS, Fiore MC, Baker TB. Smoking cessation in smokers who smoke menthol and non-menthol cigarettes. Addiction. 2014;109(12):2107–2117. doi: 10.1111/add.12661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Lawrence D, Rose A, Fagan P, Moolchan ET, Gibson JT. National patterns and correlates of mentholated cigarette use in the United States. Addiction. 2010;105:13–31. doi: 10.1111/j.1360-0443.2010.03203.x. [DOI] [PubMed] [Google Scholar]
- 54.Smit ES, Hoving C, Schelleman-Offermans K, West R, de Vries H. Predictors of successful and unsuccessful quit attempts among smokers motivated to quit. Addict Behav. 2014;39(9):1318–1324. doi: 10.1016/j.addbeh.2014.04.017. [DOI] [PubMed] [Google Scholar]
- 55.Herbeć A, McEwen A, West R, Zatoński WA. Development and evaluation of STAR – an expert digital platform supporting training and delivery of cessation interventions by healthcare professionals in Poland. Tob Prev Cessation. 2017;3(May Supplement):133–137. doi: 10.18332/tpc/71170. [DOI] [Google Scholar]
- 56.Feliu A, Filippidis F, Joossens L, et al. Impact of tobacco control policies on smoking prevalence and quit ratios in 27 European Union countries from 2006 to 2014. Tob Control. 2019;28(1):101–109. doi: 10.1136/tobaccocontrol-2017-054119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Hummel K, Nagelhout G, Fong GT, et al. Quitting activity and use of cessation assistance reported by smokers in eight European countries: Findings from the EUREST-PLUS ITC Europe Surveys. Tob Induc Dis. 2018;16(Suppl 2):A6. doi: 10.18332/tid/98912. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Hummel K, Nagelhout GT, Willemsen MC, et al. Trends and socioeconomic differences in policy triggers for thinking about quitting smoking: Findings from the International Tobacco Control (ITC) Europe Surveys. Drug Alcohol Depend. 2015;155:154–162. doi: 10.1016/j.drugalcdep.2015.07.678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Vangeli E, Stapleton J, Smit ES, Borland R, West R. Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review. Addiction. 2011;106(12):2110–2121. doi: 10.1111/j.1360-0443.2011.03565.x. [DOI] [PubMed] [Google Scholar]