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Background and Aims: Past research has found that young smokers are more likely to make quit attempts; however, there are conflicting findings regarding age and quit success. This study examined the degree to which smoker age is related to making quit attempts and quit success. Design Ten waves of the International Tobacco Control Policy Cohort survey (ITC‐4C) collected between 2002 and 2014, with nine wave‐to‐wave transitions with predictors at the first wave predicting quit attempts and success by the next wave. Setting: Canada, the United States, the United Kingdom and Australia. Participants: Data from 15 874 smokers categorized into four age groups at baseline (18–24, 25–39, 40–54 and 55+ years). Measurements Age, quit attempts and success (defined as ≥ 30 days abstinence confirmed, if possible, on a third wave for recent attempts). Findings Older smokers were more likely to smoke daily (χ2 = 1557.86, r = 0.136, P < 0.001) than younger smokers. Daily smokers were less likely to report quit attempts (38.1 versus 58.2%) and to achieve 30 days of abstinence (22.9 versus 34.3%) than non‐daily smokers. Older daily smokers were less likely to make quit attempts [0.61, confidence interval (CI) = 0.54–0.70, P < 0.001], even after controlling for indicators of nicotine dependence, country, sex, education, income, relationship status and household composition, than younger smokers. Younger smokers (< 25) were more likely to succeed for at least 30 days of abstinence, but only when compared with those aged 40–54 (OR = 0.83, 95% CI = 0.68–0.99). However, when controlling for heaviness of smoking the age effect disappeared. Significant interactions with age were found between age and intention when predicting quit attempts, and age and heaviness of smoking when predicting quit success. Conclusions: An international cohort study indicates that young smokers are more likely to attempt to quit and appear to have similar levels of success in abstaining from smoking compared with older smokers when controlling for dependence. Quit success in all ages is most predicted by lower levels of nicotine dependence. [ABSTRACT FROM AUTHOR]

Aim: To assess (1) how far smoking patterns, depression and smoking‐related beliefs and intentions predict vaping uptake, current vaping and vaping frequency among daily smokers; and (2) how far the aforementioned predictors and baseline vaping frequency predict current vaping among those who reported ever vaped. Design Analysis of data from six waves of a longitudinal survey over 8 years. Longitudinal associations between predictors and outcomes were examined using multi‐level models. Setting: United Kingdom, United States, Canada and Australia. Participants: A total of 6296 daily smokers (53% females) who contributed data to at least two consecutive survey waves. Measurements The outcome variables were vaping uptake, vaping frequency and current vaping at follow‐up. The key predictor variables, measured in previous waves, were time to first cigarette, cigarettes smoked per day, depressive symptoms, intention to quit smoking, quitting self‐efficacy and worry about adverse health effects of smoking. Findings Number of cigarettes smoked daily was associated with (1) subsequent vaping uptake [odds ratio (OR) = 1.69, 95% confidence interval (CI) = 1.19, 2.39 for 30+ cigarette per day; reference category: 0–10 cigarettes] and (2) a higher frequency of current vaping (OR = 1.97, 95% CI = 1.36, 2.85 for 30+ cigarettes). Intention to quit was associated with a higher frequency of current vaping (OR = 1.48, 95% CI = 1.21, 1.82). Among those who reported ever vaped, higher baseline vaping frequency (OR = 11.98, 95% CI = 6.00, 23.93 for daily vaping at baseline; reference category: vaped less than monthly) predicted current vaping. Conclusion: Among daily smokers, amount smoked and intention to quit smoking appear to predict subsequent vaping uptake. Vaping frequency at baseline appears to predict current vaping at follow‐up. [ABSTRACT FROM AUTHOR]

Abstract: Aims: To estimate predictors of time to smoking relapse and test if prediction varied by quit duration. Design: Longitudinal cohort data from the International Tobacco Control Four‐Country survey with annual follow up collected between 2002 and 2015. Setting: Canada, United States, United Kingdom and Australia. Participants: A total of 9171 eligible adult smokers who had made at least one quit attempt during the study period. Measurements: Time to relapse was the main outcome. Predictor variables included pre‐quit baseline measures of nicotine dependence, smoking and quitting‐related motivations, quitting capacity and social influence, and also two post‐quit measures, use of stop‐smoking medications and quit duration (1–7 days, 8–14 days, 15–31 days, 1–3 months, 3–6 months, 6–12 months, 1–2 years and 2+ years), along with socio‐demographics. Findings: All factors were predictive of relapse within the first 6 months of quitting but only wanting to quit, quit intentions and number of friends who smoke were still predictive of relapse in the 6–12‐month period of quitting [hazard ratios (HR) = 1.20, P < 0.05; 1.13, P < 0.05; and 1.21, P < 0.001, respectively]. Number of friends smoking was the only remaining predictor of relapse in the 1–2 years quit period (HR = 1.19, P = 0.001) with none predictive beyond the 2‐year quit period. Use of stop‐smoking medications during quit attempts was related negatively to relapse during the first 2 weeks of quitting (HR = 0.71–0.84), but related positively to relapse in the 1–6‐month quit period (HR = 1.29–1.54). Predictive effects of all factors showed significant interaction with quit duration except for perceiving smoking as an important part of life, prematurely stubbing out a cigarette and wanting to quit. Conclusions: Among adult smokers in the United States, Canada, United Kingdom and Australia, factors associated with smoking relapse differ between the early and later stages of a quit attempt, suggesting that the determinants of relapse change as a function of abstinence duration. [ABSTRACT FROM AUTHOR]

Aims To determine whether signs of current depression predict attempts to quit smoking, and short-term abstinence among those who try, and to test moderating effects of gender and cessation support (pharmacological and behavioural). Design Prospective cohort with approximately annual waves. Among smokers at one wave we assessed outcomes at the next wave using mixed-effects logistic regressions. Setting Waves 5-8 of the Four Country International Tobacco Control Study: a quasi-experimental cohort study of smokers from Canada, USA, UK and Australia. Participants A total of 6811 tobacco smokers who participated in telephone surveys. Measurements Three-level depression index: (1) neither low positive affect (LPA) nor negative affect (NA) in the last 4 weeks; (2) LPA and/or NA but not diagnosed with depression in the last 12 months; and (3) diagnosed with depression. Outcomes were quit attempts and 1-month abstinence among attempters. Findings Depression positively predicted quit attempts, but not after controlling for quitting history and motivational variables. Controlling for all covariates, depression consistently negatively predicted abstinence. Cessation support did not moderate this effect. There was a significant interaction with gender for quit attempts ( P = 0.018) and abstinence ( P = 0.049) after controlling for demographics, but not after all covariates. Depression did not predict abstinence among men. Among women, depressive symptoms [odds ratio (OR) = 0.63, 95% confidence interval (CI) = 0.49-0.81] and diagnosis (OR = 0.46, 95% CI = 0.34-0.63) negatively predicted abstinence. Conclusions Smokers with depressive symptoms or diagnosis make more quit attempts than their non-depressed counterparts, which may be explained by higher motivation to quit, but they are also more likely to relapse in the first month. These findings are stronger in women than men. [ABSTRACT FROM AUTHOR]

Aims To determine whether abstinence or relapse on a quit attempt in the previous year is associated with current depressive symptoms. Design Prospective cohort with approximately annual waves. Mixed-effect logistic regressions tested whether time 2 (T2) quitting status was associated with reporting symptoms at T2, and whether time 1 (T1) symptoms moderated this relationship. Setting Waves 5-8 of the Four-Country International Tobacco Control Study: a quasi-experimental cohort study of smokers from Canada, the United States, the United Kingdom and Australia. Participants A total of 6978 smokers who participated in telephone surveys. Measurements T1 and T2 depressive symptoms in the last 4 weeks were assessed with two screening items from the PRIME-MD questionnaire. Quitting status at T2: (1) no attempt since T1; (2) attempted and relapsed; and (3) attempted and abstinent at T2. Findings Compared with no attempt, relapse was associated with reporting T2 symptoms [odds ratio (OR) = 1.46, 95% confidence interval (CI) = 1.33, 1.59]). Associations between T2 quitting status and T2 symptoms were moderated by T1 symptoms. Relapse was associated positively with T2 symptoms for those without T1 symptoms (OR = 1.71, 95% CI = 1.45, 2.03) and those with T1 symptoms (OR = 1.45, 95% CI = 1.23, 1.70). Abstinence was associated positively for those without T1 symptoms (OR = 1.37, 95% CI = 1.10, 1.71) and negatively for those with T1 symptoms (OR = 0.74, 95% CI = 0.59, 0.94). Age moderated these associations significantly. Relapse did not predict T2 symptoms for those aged 18-39 irrespective of T1 symptoms. The negative effect of abstinence on T2 symptoms for those with T1 symptoms was significant only for those aged 18-39 (OR = 0.61, 95% CI = 0.40, 0.94) and 40-55 (OR = 0.58, 95% CI = 0.40, 0.84). The positive effect of abstinence on T2 symptoms for those without T1 symptoms was significant only for those aged more than 55 (OR =1.97, 95% CI = 1.35, 2.87). Conclusions Most people who stop smoking appear to be at no greater risk of developing symptoms of depression than if they had continued smoking. However, people aged more than 55 who stop smoking may be at greater risk of developing symptoms of depression than if they had continued smoking. [ABSTRACT FROM AUTHOR]