Are health conditions and concerns about health effects of smoking predictive of quitting? Findings from the ITC 4CV Survey ( 2016-2018 )

Gender differences in cigarette smoking cessation attempts among adults who smoke and drink alcohol at high levels: Findings from the 2018-2020 International Tobacco Control Four Country Smoking and Vaping Surveys

BACKGROUND

This study examined the association between alcohol consumption and smoking cessation behaviour of adults who smoke in four countries.

METHODS

Data came from 4275 adults (≥18 years) who smoked tobacco ≥ monthly and participated in the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping Surveys (Australia: n = 720; Canada: n = 1250; US: n = 1011; England: n = 1294). The 2018 Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) survey data coded into three levels ('never/low', 'moderate' or 'heavy' consumption) were analysed using multivariable logistic regression models to predict any smoking cessation attempts and successful cessation by 2020 survey, and whether this differed by gender and country.

RESULTS

Compared to never/low alcohol consumers, only those who drink heavily were less likely to have made a quit smoking attempt (40.4 % vs. 43.8 %; AOR = 0.69, 95 % CI = 0.57-0.83, p < .001). The association differed by gender and country (3-way interaction, p < .001), with females who drink heavily being less likely to attempt to quit smoking in England (AOR = 0.27, 95 % CI = 0.15-0.49, p < .001) and Australia (AOR = 0.38, 95 % CI = 0.19-0.77, p = .008), but for males, those who drink moderately (AOR = 2.18, 95 % CI = 1.17-4.06, p = .014) or heavily (AOR = 2.61, 95 % CI = 1.45-4.68, p = .001) were more likely to make a quit attempt in England only. Alcohol consumption did not predict quit success.

CONCLUSION

Heavy alcohol use among adults who smoke appears to only undermine the likelihood of trying to quit smoking with some variation by gender and country of residence, but not their chances of succeeding if they tried.

Comparison of attempts and plans to quit tobacco products among single, dual, and triple users

INTRODUCTION

Tobacco users are categorized as single, dual, and triple users based on the number of tobacco products (cigarettes, e-cigarettes, and heated tobacco products) used. This study addressed a literature gap by examining how adult Korean tobacco users' quit attempts/plans differed based on the user type, and the associated psychosocial and subjective health-related factors.

METHODS

We used a questionnaire to examine participants' self-reported health, stress, health concerns, health behavior, tobacco addiction, intentions/plans to quit, and demographic characteristics. Data were analyzed using chi-squared tests, one-way analysis of variance, and multiple linear regression.

RESULTS

Of the 1288 tobacco users, 55.4%, 28.3%, and 16.4% were single, dual, and triple users, respectively. Self-rated health and stress were lowest among single users and highest among triple users. Most user types had intentions/plans to quit, especially triple users. Quit attempts and plans increased with increasing health behaviors and time elapsed before first tobacco use in the morning, but decreased with higher stress and self-rated addiction.

CONCLUSIONS

Intentions/plans to quit tobacco use varied based on the type of tobacco user. Multiple users had higher self-rated health, plans to quit, and self-reported addiction; they considered themselves healthy or engaged in healthy behaviors to offset problems from tobacco use and used multiple tobacco products to quit smoking. Highly stressed users had fewer plans to quit and used tobacco for stress relief. Thus, the provision of accurate information about tobacco products and stress management is important to promote successful quitting.

Self-reported depression and anxiety and healthcare professional interactions regarding smoking cessation and nicotine vaping: Findings from 2018 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) Survey

INTRODUCTION

People with mental health conditions are disproportionately affected by smoking-related diseases and death. The aim of this study was to assess whether health professional (HP) interactions regarding smoking cessation and nicotine vaping products (NVPs) differ by mental health condition.

METHODS

The cross-sectional 2018 International Tobacco Control Four Country (Australia, Canada, England, United States) Smoking and Vaping Survey data included 11040 adults currently smoking or recently quit. Adjusted weighted logistic regressions examined associations between mental health (self-reported current depression and/or anxiety) and visiting a HP in last 18 months; receiving advice to quit smoking; discussing NVPs with a HP; and receiving a recommendation to use NVPs.

RESULTS

Overall, 16.1% self-reported depression and anxiety, 7.6% depression only, and 6.6% anxiety only. Compared with respondents with no depression/anxiety, those with depression (84.7%, AOR=2.65; 95% CI: 2.17-3.27), anxiety (82.2%, AOR=2.08; 95% CI: 1.70-2.57), and depression and anxiety (87.6%, AOR=3.74; 95% CI: 3.19-4.40) were more likely to have visited a HP. Among those who had visited a HP, 47.9% received advice to quit smoking, which was more likely among respondents with depression (AOR=1.58; 95% CI: 1.34-1.86), and NVP discussions were more likely among those with depression and anxiety (AOR=1.63; 95% CI: 1.29-2.06). Of the 6.1% who discussed NVPs, 33.5% received a recommendation to use them, with no difference by mental health.

CONCLUSIONS

People with anxiety and/or depression who smoke were more likely to visit a HP than those without, but only those with depression were more likely to receive cessation advice, and only those with depression and anxiety were more likely to discuss NVPs. There are missed opportunities for HPs to deliver cessation advice. NVP discussions and receiving a positive recommendation to use them were rare overall.

Cigarette Smoking in Response to COVID-19: Examining Co-Morbid Medical Conditions and Risk Perceptions

During the initial wave of the Coronavirus Disease 2019 (COVID-19) pandemic in the U.S., information was mixed about the relative COVID-19 risks and potential benefits associated with cigarette smoking. Therefore, we sought to understand individual differences in the impact of COVID-19 on cigarette smoking in a sample of adults who reported recent use, with a particular focus on chronic medical conditions likely associated with increased COVID-19 risk. Participants completed an online survey of smoking behavior, demographic variables, medical history, and COVID-19 risk perceptions between July and August 2020 (N = 286). We examined whether medical conditions, COVID-19 risk perceptions and/or demographic characteristics were related to smoking changes in response to the pandemic (i.e., no change, decrease, increase) using multinomial logistical regression. Younger age, higher COVID-19 risk perceptions and Black versus White race were associated with greater odds of decreased smoking compared to no smoking change. Moreover, having at least one chronic medical condition was associated with greater odds of increased smoking relative to no change. The results have important implications for tobacco cessation treatment and preventive healthcare during the ongoing COVID-19 pandemic and other public health threats.

The Predictive Utility of Valuing the Future for Smoking Cessation: Findings from the ITC 4 Country Surveys

Background: Delay discounting (DD) and time perspective (TP) are conceptually related constructs that are theorized as important determinants of the pursuit of future outcomes over present inclinations. This study explores their predictive relationships for smoking cessation. Methods: 5006 daily smokers at a baseline wave provided 6710 paired observations of quitting activity between two waves. Data are from the International Tobacco Control (ITC) smoking and vaping surveys with samples from the USA, Canada, England, and Australia, across three waves conducted in 2016, 2018 and 2020. Smokers were assessed for TP and DD, plus smoking-specific predictors at one wave of cessation outcomes defined as either making a quit attempt and/or success among those who tried to quit which was ascertained at the subsequent survey wave. Results: TP and DD were essentially uncorrelated. TP predicted making quit attempts, both on its own and controlling for other potential predictors but was negatively associated with quit success. By contrast, DD was not related to making quit attempts, but high DD predicted relapse. The presence of financial stress at baseline resulted in some moderation of effects. Conclusions: Understanding the mechanisms of action of TP and DD can advance our understanding of, and ability to enhance, goal-directed behavioural change. TP appears to contribute to future intention formation, but not necessarily practical thought of how to achieve goals. DD is more likely an index of capacity to effectively generate competing future possibilities in response to immediate gratification.