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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]

Aims: This paper presents updated prevalence estimates of awareness, ever‐use, and current use of nicotine vaping products (NVPs) from 14 International Tobacco Control Policy Evaluation Project (ITC Project) countries that have varying regulations governing NVP sales and marketing. Design, Setting, Participants and Measurements: A cross‐sectional analysis of adult (≥ 18 years) current smokers and ex‐smokers from 14 countries participating in the ITC Project. Data from the most recent survey questionnaire for each country were included, which spanned the period 2013–17. Countries were categorized into four groups based on regulations governing NVP sales and marketing (allowable or not), and level of enforcement (strict or weak where NVPs are not permitted to be sold): (1) most restrictive policies (MRPs), not legal to be sold or marketed with strict enforcement: Australia, Brazil, Uruguay; (2) restrictive policies (RPs), not approved for sale or marketing with weak enforcement: Canada, Malaysia, Mexico, New Zealand; (3) less restrictive policies (LRPs), legal to be sold and marketed with regulations: England, the Netherlands, Republic of Korea, United States; and (4) no regulatory policies (NRPs), Bangladesh, China, Zambia. Countries were also grouped by World Bank Income Classifications. Country‐specific weighted logistic regression models estimated adjusted NVP prevalence estimates for: awareness, ever/current use, and frequency of use (daily versus non‐daily). Findings NVP awareness and use were lowest in NRP countries. Generally, ever‐ and current use of NVPs were lower in MRP countries (ever‐use = 7.1–48.9%; current use = 0.3–3.5%) relative to LRP countries (ever‐use = 38.9–66.6%; current use = 5.5–17.2%) and RP countries (ever‐use = 10.0–62.4%; current use = 1.4–15.5%). NVP use was highest among high‐income countries, followed by upper–middle‐income countries, and then by lower–middle‐income countries. Conclusions: With a few exceptions, awareness and use of nicotine vaping products varied by the strength of national regulations governing nicotine vaping product sales/marketing, and by country income. In countries with no regulatory policies, use rates were very low, suggesting that there was little availability, marketing and/or interest in nicotine vaping products in these countries where smoking populations are predominantly poorer. The higher awareness and use of nicotine vaping products in high income countries with moderately (e.g. Canada, New Zealand) and less (e.g. England, United States) restrictive policies, is likely due to the greater availability and affordability of nicotine vaping products. [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]

Background and Aims Flaws in previous studies mean that findings of J-shaped risk curves for gambling should be disregarded. The current study aims to estimate the shape of risk curves for gambling losses and risk of gambling-related harm (a) for total gambling losses and (b) disaggregated by gambling activity. Design Four cross-sectional surveys. Setting Nationally representative surveys of adults in Australia (1999), Canada (2000), Finland (2011) and Norway (2002). Participants A total of 10 632 Australian adults, 3120 Canadian adults, 4484 people aged 15-74 years in Finland and 5235 people aged 15-74 years in Norway. Measurements Problem gambling risk was measured using the modified South Oaks Gambling Screen, the NORC DSM Screen for Gambling Problems and the Problem Gambling Severity Index. Findings Risk curves for total gambling losses were estimated to be r-shaped in Australia {β losses = 4.7 [95% confidence interval (CI) = 3.8, 6.5], β losses2 = -7.6 (95% CI = -17.5, -4.5)}, Canada [β losses = 2.0 (95% CI = 1.3, 3.9), β losses2 = -3.9 (95% CI = -15.4, -2.2)] and Finland [β losses = 3.6 (95% CI = 2.5, 7.5), β losses2 = -4.4 (95% CI = -34.9, -2.4)] and linear in Norway [β losses = 1.6 (95% CI = 0.6, 3.1), β losses2 = -2.6 (95% CI = -12.6, 1.4)]. Risk curves for different gambling activities showed either linear, r-shaped or non-significant relationships. Conclusions Player loss-risk curves for total gambling losses and for different gambling activities are likely to be linear or r-shaped. For total losses and electronic gaming machines, there is no evidence of a threshold below which increasing losses does not increase the risk of harm. [ABSTRACT FROM AUTHOR]