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Background and Aims: The pathways model is a highly cited etiological model of problem gambling. In the past two decades, a number of studies have found support for the model's utility in classifying gambling subtypes. The aims of this paper were to refine empirically the model subtypes and to revise and update the model based on those findings. Design and Measurement: Observational study using data collected from treatment‐seeking problem gamblers using the Problem Gambling Severity Index (PGSI) and the Gambling Pathways Questionnaire (GPQ). Setting: Treatment clinics in Canada, Australia and the United States. Participants: A convenience sample of 1168 treatment‐seeking problem gamblers, aged 18 years or older. Findings Empirically validated risk factors were analyzed using latent class analyses, identifying a three‐class solution as the best‐fitting model. Those in the largest class (class 1: 44.3%, n = 517) reported the lowest levels of all etiological risk factors. Participants in class 2 (39.5%, n = 461) reported the highest rates of anxiety and depression, both before and after gambling became a problem, as well as childhood maltreatment, and a high level of gambling for stress‐coping. Those in class 3 (16.3%, n = 190) reported high levels of impulsivity; risk‐taking, including sexual risk‐taking; antisocial traits; and coping to provide meaning in life and to alleviate stress. Conclusions: The revised pathways model of problem gambling includes three classes of gamblers similar to the three subtypes in the original pathways model, but class 3 in the revised pathways model is distinct from class 2, showing higher levels of risk‐taking and antisocial traits and gambling motivated by a desire for meaning/purpose and/or to alleviate stress. Class 2 in the revised pathways model demonstrates high levels of childhood maltreatment as well as gambling for stress‐coping. [ABSTRACT FROM AUTHOR]

Background and Aims: Most population studies that evaluate the relationship between nicotine vaping and cigarette cessation focus on limited segments of the smoker population. We evaluated vaping uptake and smoking cessation considering differences in smokers' plans to quit. Design: Longitudinal International Tobacco Control (ITC) Four Country Smoking and Vaping Surveys were conducted in 2016, 2018 and 2020. Setting: This study was conducted in the United States, Canada, England and Australia. Participants: Participants of this study were adult daily cigarette smokers who had not vaped in the past 6 months at baseline and had participated in two or more consecutive waves of the ITC Four Country Smoking and Vaping Surveys (n = 2815). Measurements Plans to quit cigarette smoking was assessed at baseline (within 6 months, beyond 6 months, not planning to quit) and at follow‐up (within 6 months vs not within 6 months), cigarette smoking cessation was assessed at follow‐up (smoking less than monthly [including complete cessation] vs daily/weekly/monthly smoking) and inter‐wave vaping uptake was assesed between baseline and follow‐up (none, only non‐daily vaping and any daily vaping). Generalized estimating equations were used to evaluate whether inter‐wave vaping uptake was associated with smoking cessation at follow‐up and with planning to quit at follow‐up, each stratified by plans to quit smoking at baseline. Findings Overall, 12.7% of smokers quit smoking. Smokers not initially planning to quit within 6 months experienced higher odds of smoking cessation when they took up daily vaping (32.4%) versus no vaping (6.8%; adjusted odds ratio [AOR], 8.58; 95% CI, 5.06–14.54). Among smokers planning to quit, smoking cessation rates were similar between those who did and did not take up daily vaping (25.1% vs 16.8%; AOR, 1.91; 95% CI, 0.91–4.00), although we could not account for potential use of cessation aids. Daily vaping uptake was associated with planning to quit smoking at follow‐up among those initially not planning to quit (AOR,6.32; 95% CI, 4.17–9.59). Conclusions: Uptake of nicotine vaping appears to be strongly associated with cigarette smoking cessation among smokers with no initial plans to quit smoking. Excluding smokers not planning to quit from studies on vaping and smoking cessation may underestimate potential benefit of daily vaping for daily smokers. [ABSTRACT FROM AUTHOR]

Aims: To examine whether polyuse of cigarettes and other smoked products (polysmoking) is predictive of quit attempts and quit success. Design: A prospective multi‐country cohort design. Setting: Australia, Canada, England and the United States. Participants: A total of 3983 adult daily cigarette smokers were surveyed in 2016 (wave 1 of data collection) and were re‐contacted in 2018 (wave 2) (i.e. waves 1–2 cohort) in the International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) surveys; and 3736 smokers were surveyed in 2018 and re‐contacted in 2020 (wave 3) (i.e. waves 2–3 cohort). Measurements Participants were asked about their cigarette smoking and use of cigars, cigarillos, pipes and waterpipes. Outcomes were quit attempts between two survey waves and success, defined as having quit smoking all the combustible tobacco at the subsequent survey for 1 month or more. Findings Levels of polysmoking were 12.7% in the waves 1–2 cohort and 10.5% for the waves 2–3 cohort. Compared with cigarette‐only smokers, polysmokers were more likely to attempt to quit between waves 1 and 2 [54.9 versus 42.7%, adjusted odds ratio (aOR) = 1.37, 95% confidence interval (CI) = 1.08–1.74, P < 0.01], but not between waves 2 and 3 (43.8 versus 40.1%, aOR = 0.94, 95% CI = 0.72–1.22). Polysmoking predicted reduced likelihood of success in both cohorts among attempters and the overall samples. Between waves 2 and 3 there were significantly more transitions to non‐daily smoking among the polysmokers (12.4 versus 5.3%, χ2 = 40.4, P < 0.001). Conclusions: There is a consistent association between polysmoking (use of cigarettes together with other smoked products) and reduced quit success for combustible tobacco, but it is probably due to increased likelihood of transitioning to non‐daily use rather than complete cessation. [ABSTRACT FROM AUTHOR]

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]