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.

Changes in Cigarette Smoking and Vaping in Response to the COVID-19 Pandemic in the UK: Findings from Baseline and 12-Month Follow up of HEBECO Study

This study investigated UK adults’ changes in cigarette smoking and vaping during the COVID-19 pandemic and factors associated with any changes. Data were from an online longitudinal study. A self-selected sample (n = 332) of 228 smokers and 155 vapers (51 participants were both smokers and vapers) completed 5 surveys between April 2020 and June 2021. Participants self-reported data on sociodemographics, COVID-19-related, and smoking/vaping characteristics. During the 12 months of observations, among smokers, 45% self-reported a quit attempt (27.5% due to COVID-19-related reasons) since the onset of COVID-19 pandemic and the quit rate was 17.5%. At 12 months, 35.1% of continuing smokers (n = 174) reported smoking less and 37.9% the same, while 27.0% reported an increase in the number of cigarettes smoked/day. Among vapers, 25.0% self-reported a quit attempt (16.1% due to COVID-19-related reasons) and the quit rate was 18.1%. At 12 months, 47.7% of continuing vapers (n = 109) reported no change in the frequency of vaping/hour, while a similar proportion reported vaping less (27.5%) and more (24.8%). Motivation to quit smoking and being younger were associated with making a smoking quit attempt and smoking cessation. Being a cigarette smoker was associated with vaping cessation. Among a self-selected sample, COVID-19 stimulated more interest in reducing or quitting cigarette smoking than vaping.

Trends and correlates of hardcore smoking in India: findings from the Global Adult Tobacco Surveys 1 & 2

Background: Data on prevalence of hardcore smoking (HCS) among different socioeconomic status (SES) groups in low- and middle-income countries are limited. We looked at the prevalence and pattern of HCS in India with the following objectives: 1) to analyse the association between SES and HCS, 2) to find trends in HCS in different SES groups and 3) to find state-wide variations in hardcore smoking. Methods: Data of individuals aged ≥25 years from the Global Adult Tobacco Survey (GATS) India 2009-10 (N= 9223) and 2016-17 (N= 7647) were used for this study. If an individual met all the following criteria: (1) current smoker, (2) smokes 10 or more cigarettes/day, (3) smokes first puff within 30 minutes after waking up, (4) no quit attempt in last 12 months, (5) no intention to quit at all or in the next 12 months, (6) lack of knowledge of harmful effect of smoking, s/he was identified as a hardcore smoker. Multiple regression analysis was done to find the factors associated with HCS. Results: Prevalence of HCS deceased from 2.5% in GATS 1 to 1.9% in GATS 2: males from 6.2% to 3.9% and females from 0.3% to 0.2%. Compared to the richest group the poorest, poor and those who belonged to the middle-income group were more likely to report HCS in GATS 1 and 2. However, only in the poorest SES group there was an increase in the proportion of hardcore smokers in GATS 2 compared to GATS 1. Other factors that were significantly associated with HCS in both surveys were male gender, working adults, those with lower education, early initiation of smoking and households without any rules for smoking inside the home. Conclusions: Tobacco control and cessation efforts need to focus on individuals of poor SES groups particularly in the high prevalence Indian states.

Efficacy of providing free nicotine replacement chewing gum to induce quit attempts in tobacco users- A prospective observational study

To assess the effectiveness of providing free NRT to tobacco users in increasing quit attempts and to assess the perception of adherence, side effects and safety issues related to the usage in increasing quit attempt. A observational study was conducted to motivate tobacco users to have a quit attempt with a nicotine replacement sample among patients visiting out-patient department of a dental college. Baseline evaluation (demographic), Modified Fagerstrom test for Nicotine Dependence (MFTND) to assess nicotine addiction level, “breath analyzer” for the quantitative detection of levels of carbon monoxide were assessed. A free NRT sample was given. Telephonic follow up was done at an interval of 2 weeks, 1 month to assess the reduction in the mean MFTND score and to assess the perception of using NRT sample. All data was entered and analysed in SPSS for Windows version 22. Among the 40 subjects 80% were in the age group of 30-50 years and were males. The levels of carbon monoxide using breath analyser showed 80% of the subjects as heavy and chain smokers. Out of 40 subjects, 29 (72.5%) subjects were having high dependence calculated using MFTND which reduced to 2(5%) after using nicotine chewing gum. The mean and standard deviation of pre MFTND was 7.97±2.35 and for post MFTND it was 5.57±2.14 and the difference was highly significant (p< 0.005).: The results of this study confirm the efficacy of providing free nicotine replacement sample a novel strategy in motivating tobacco users to induce quit attempt.

Smoking Cessation Behaviors and Reasons for use of Electronic Cigarettes (EC) and Heated Tobacco Products (HTP) Among Romanian Adults: Implications for Comprehensive Tobacco Control Policy

We report cessation behaviors, reasons for use of EC and HTP and association of their use with quit attempts and smoking intensity using Romania Global Adult Tobacco Survey 2018. Weighted estimates of EC and HTP by cigarette smoking (CS) status were assessed. ‘Quit attempts’, ‘intention to quit’, reasons for lack of intention to quit among current CS and reasons for current use of EC and HTP were estimated. Association of ‘ever use’ of EC and HTP with cigarette smoking intensity and quit attempts was explored using binary logistic regression. Of the total 4571 surveyed, 1243 (27.3%) were current CS, 300 (24.4%) made quit attempt in the past 12 months. Only 38 (12.5%) and 26 (8.6%) had used EC and HTP as an aid to quit. Among current CS, 512 (41.2%) had no intention to quit. Reasons for this were, ‘enjoy smoking’ (86.1%), ‘reduce stress’ (65.9%) and ‘staying alert’ (46.3%). Awareness and use of EC and HTP was significantly higher among current CS. ‘Dual use’ of EC and HTP with CS was manifolds higher than stand-alone use. Reasons for current use of EC and HTP were ‘enjoyment’, and ‘use in places where smoking was prohibited’.

Dynamic models of stress-smoking responses based on high-frequency sensor data

Self-reports indicate that stress increases the risk for smoking; however, intensive data from sensors can provide a more nuanced understanding of stress in the moments leading up to and following smoking events. Identifying personalized dynamical models of stress-smoking responses can improve characterizations of smoking responses following stress, but techniques used to identify these models require intensive longitudinal data. This study leveraged advances in wearable sensing technology and digital markers of stress and smoking to identify person-specific models of stress and smoking system dynamics by considering stress immediately before, during, and after smoking events. Adult smokers (n = 45) wore the AutoSense chestband (respiration-inductive plethysmograph, electrocardiogram, accelerometer) with MotionSense (accelerometers, gyroscopes) on each wrist for three days prior to a quit attempt. The odds of minute-level smoking events were regressed on minute-level stress probabilities to identify person-specific dynamic models of smoking responses to stress. Simulated pulse responses to a continuous stress episode revealed a consistent pattern of increased odds of smoking either shortly after the beginning of the simulated stress episode or with a delay, for all participants. This pattern is followed by a dramatic reduction in the probability of smoking thereafter, for about half of the participants (49%). Sensor-detected stress probabilities indicate a vulnerability for smoking that may be used as a tailoring variable for just-in-time interventions to support quit attempts.

Smoking Behaviors, Mental Health, and Risk Perceptions during the Beginning of the COVID-19 Pandemic among Mexican Adult Smokers

Mexico is one of the countries most affected by COVID-19. Studies have found that smoking behaviors have been impacted by the pandemic as well; however, results have varied across studies, and it remains unclear what is causing the changes. This study of an open cohort of smokers recruited from a consumer panel (n = 2753) examined changes in cigarettes per day (CPD), daily vs. non-daily smoking, recent quit attempts, perceived stress, depression, and perceived severity of COVID-19 at two points during the pandemic: March and July 2020. Differences in CPD between waves were estimated with Poisson regression using generalized estimating equations (GEE). Differences in perceived stress were estimated with linear regression using GEE, and differences in recent quit attempts, depression, and perceived severity of COVID-19 were estimated using separate logistic regression GEE models. Rates of depression were higher in July compared to March (AOR = 1.55, 95% C.I. 1.31–1.85), and the likelihood of recent quit attempt was lower in July compared to March (AOR = 0.85, 95% C.I. 0.75–0.98). There was no statistically significant change in CPD, daily smoking, or perceived stress. Perceived COVID-19 severity for oneself increased significantly (AOR: 1.24, 95% C.I. 1.02–1.52); however, the perceived COVID-19 severity for smokers remained constant. Our study suggests that as the COVID-19 pandemic expanded in Mexico, smoking frequency remained stable, and quit attempts decreased, even as adult smokers increasingly perceived infection with COVID-19 for themselves as severe. These results can aid in the development of health communication strategies to educate smokers about their risk for COVID-19, potentially capitalizing on concerns that stem from this syndemic of communicable and smoking-related non-communicable disease.

Cigarette Smoking is Associated with Difficulties in the Use of Reappraisal for Emotion Regulation

Background: Negative emotions can promote smoking relapse during a quit attempt. The use of cognitive reappraisal to self-regulate these emotions may therefore aid smoking cessation. Determining whether smokers exhibit difficulties in the use of reappraisal, and which factors are associated with such difficulties, may aid smoking cessations.Methods: 50 smokers and 50 non-smokers completed an online reappraisal task in which they either reappraised or naturally experienced emotions induced by negatively- and neutrally-valenced images that presented situations in either the 1st-person or 3rd-person perspective. Participants also completed the Difficulties in Emotion Regulation Scale (DERS).Results: Compared to non-smokers, smokers were less successful in using reappraisal to self-regulate emotions elicited by negatively-valenced images (but not neutrally-valenced images). Importantly, this effect was only true for images that were presented in the 1st-person (but not 3rd-person) perspective. Contrary to predictions, there were no group differences in DERS scores. However, exploratory analyses showed that when smokers were split into those who exhibited low vs. high reappraisal success on the reappraisal task (via median split), the low success group exhibited an association between lower reappraisal success and a greater lack of emotional clarity on the DERS, whereas no such association was observed in the high success group.Conclusions: This study provides evidence that smokers may experience difficulties in the use of reappraisal to self-regulate negative emotions induced by situations that appear to be occurring to themselves, and that this deficit may be related to difficulties in understanding the nature and/or valence of the emotion experienced.