Quit Attempts Research Articles

Barriers and facilitators to perioperative smoking cessation: A scoping review.

Smoking cessation interventions are underutilized in the surgical setting. We aimed to systematically identify the barriers and facilitators to smoking cessation in the surgical setting. Following the Joanna Briggs Institute (JBI) framework for scoping reviews, we searched 5 databases (MEDLINE, Embase, Cochrane CENTRAL, CINAHL, and PsycINFO) for quantitative or qualitative studies published in English (since 2000) evaluating barriers and facilitators to perioperative smoking cessation interventions. Data were analyzed using thematic analysis and mapped to the theoretical domains framework (TDF). From 31 studies, we identified 23 unique barriers and 13 facilitators mapped to 11 of the 14 TDF domains. The barriers were within the domains of knowledge (e.g., inadequate knowledge of smoking cessation interventions) in 23 (74.2%) studies; environmental context and resources (e.g., lack of time to deliver smoking cessation interventions) in 19 (61.3%) studies; beliefs about capabilities (e.g., belief that patients are nervous about surgery/diagnosis) in 14 (45.2%) studies; and social/professional role and identity (e.g., surgeons do not believe it is their role to provide smoking cessation interventions) in 8 (25.8%) studies. Facilitators were mainly within the domains of environmental context and resources (e.g., provision of quit smoking advice as routine surgical care) in 15 (48.4%) studies, reinforcement (e.g., surgery itself as a motivator to kickstart quit attempts) in 8 (25.8%) studies, and skills (e.g., smoking cessation training and awareness of guidelines) in 5 (16.2%) studies. The identified barriers and facilitators are actionable targets for future studies aimed at translating evidence informed smoking cessation interventions into practice in perioperative settings. More research is needed to evaluate how targeting these barriers and facilitators will impact smoking outcomes.

Tobacco Images Choice and Its Association with Craving and Dependence in People who Smoke Cigarettes.

Increased salience of drug-related cues over non-drug reinforcers can drive drug use and contribute to tobacco use disorder (TUD). An important scientific and clinical goal is to effectively measure this elevated drug-seeking behavior in TUD. However, most TUD assessments rely on self-reported cravings and cigarette consumption, not providing an objective measure of the impact of drug-cues on biasing behavior towards drugs. The probabilistic image choice (PIC) task investigates the choice of viewing drug-related pictures as compared to other salient pictures (e.g., pleasant and unpleasant). This study aimed to develop and validate the PIC task for TUD and evaluate the associations between behavioral choice and tobacco craving, daily cigarette consumption, quit attempts and motivation to quit, and nicotine dependence (the Fagerström score). We recruited 468 smokers and 121 nonsmokers using the Prolific online platform. Participants performed the PIC task twice (at a one-month interval) and completed other measures relevant to TUD. compared to nonsmokers, tobacco smokers selected to view significantly more tobacco images and less pleasant (non-drug reinforcer) images, a profile that remained stable at retest. Individual differences in choice of tobacco as compared to pleasant images on the PIC task were associated with craving but not with the other tobacco dependence measures, suggesting that the task may serve as a behavioral proxy measure of drug "wanting" rather than of cumulative nicotine exposure or physical dependence. these results suggest that the PIC task can be a valuable tool for objectively assessing craving-associated tobacco seeking in TUD. which should provide a brief description about what the study addsMost of the current measures of tobacco use disorder (TUD) rely on self-reports of consumption, dependence and craving and do not take into consideration the role of drug-related cues in driving tobacco seeking. This study shows that the probabilistic image choice (PIC) task provides an objective, reliable proxy measure of tobacco image seeking behavior in people who smoke cigarettes that is linked to craving (desire) for smoking but not to other measures of TUD. Therefore, the PIC task may be a useful complementary tool for the classification, diagnosis, and prognosis of TUD.

Smartphone-Based Survey and Message Compliance in Adults Initially Unready to Quit Smoking: Secondary Analysis of a Randomized Controlled Trial.

Efficacy of smartphone-based interventions depends on intervention content quality and level of exposure to that content. Smartphone-based survey completion rates tend to decline over time; however, few studies have identified variables that predict this decline over longer-term interventions (eg, 26 weeks). This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial. This study examined data from a 3-group pilot randomized controlled trial of adults who smoke (N=152) and were not ready to quit smoking within the next 30 days. For 182 days, two intervention groups received smartphone-based morning and evening messages based on current readiness to quit smoking. The control group received 2 daily messages unrelated to smoking. All participants were prompted to complete 26 weekly smartphone-based surveys that assessed smoking behavior, quit attempts, and readiness to quit. Compliance was operationalized as percentages of weekly surveys completed and daily messages viewed. Linear regression and mixed-effects models were used to identify predictors (eg, intervention group, age, and sex) of weekly survey completion and daily message viewing and decline in compliance over time. The sample (mean age 50, SD 12.5, range 19-75 years; mean years of education 13.3, SD 1.6, range 10-20 years) was 67.8% (n=103) female, 74.3% (n=113) White, 77% (n=117) urban, and 52.6% (n=80) unemployed, and 61.2% (n=93) had mental health diagnoses. On average, participants completed 18.3 (71.8%) out of 25.5 prompted weekly surveys and viewed 207.3 (60.6%) out of 345.1 presented messages (31,503/52,460 total). Age was positively associated with overall weekly survey completion (P=.003) and daily message viewing (P=.02). Mixed-effects models indicated a decline in survey completion from 77% (114/148) in the first week of the intervention to 56% (84/150) in the last week of the intervention (P<.001), which was significantly moderated by age, sex, ethnicity, municipality (ie, rural/urban), and employment status. Similarly, message viewing declined from 72.3% (1533/2120) in the first week of the intervention to 44.6% (868/1946) in the last week of the intervention (P<.001). This decline in message viewing was significantly moderated by age, sex, municipality, employment status, and education. This study demonstrated the feasibility of a 26-week smartphone-based smoking cessation intervention. Study results identified subgroups that displayed accelerated rates in the decline of survey completion and message viewing. Future research should identify ways to maintain high levels of interaction with mobile health interventions that span long intervention periods, especially among subgroups that have demonstrated declining rates of intervention engagement over time. ClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.

Sex differences in tobacco use, attempts to quit smoking, and cessation among dual users of cigarettes and e-cigarettes: Longitudinal findings from the US Population Assessment of Tobacco and Health Study

SignificanceA growing number of adults use more than one tobacco product, with dual use of cigarettes and e-cigarettes being the most common combination. Monitoring sex disparities in tobacco use is a public health priority. However, little is known regarding whether dual users differ by sex. MethodsData came from Waves 4–6 (12/2016–11/2021) of the Population Assessment of Tobacco and Health Study, a US nationally-representative longitudinal survey. This analysis included current adult dual users of cigarettes and e-cigarettes. We used weighted generalized estimating equations to assess the association between sex and (1) making a cigarette quit attempt (n = 1882 observations from n = 1526 individuals) and (2) smoking cessation (n = 2081 observations from n = 1688 individuals) across two wave pairs, adjusting for age, education, ethnicity, time-to-first cigarette after waking, and e-cigarette use frequency. ResultsAmong US dual users, 14.1% (95% Confidence Intervals [Cl] = 11.9–16.4) of females and 23.4% (20.0–26.9) of males were young adults (aged 18–24), 11.7% (9.2–14.2) of females and 14.4% (11.6–17.2) of males had <high school education, and 82.2% (79.4–84.5) of females and 78.7% (75.1–82.4) of males were white. Overall, 44.9% (41.6–48.1) of females compared with 37.4% (33.5–41.3) of males made an attempt to quit smoking between a baseline and follow-up wave (Adjusted Risk Ratio [ARR] = 1.23, 1.05–1.45). In contrast, there were no apparent differences between females (22.1%, 19.0–25.2) and males (24.3%, 21.5–27.1) in smoking cessation (ARR = 1.06, 0.84–1.35). ConclusionUS females who dual use e-cigarettes and cigarettes were more likely to attempt to quit smoking, but not more likely to succeed at quitting, than males.

Moderation of the real-world effectiveness of smoking cessation aids by mental health conditions: A population study

Objective To examine whether the real-world effectiveness of popular smoking cessation aids differs between users with and without a history of mental health conditions. Design Nationally-representative cross-sectional survey conducted monthly between 2016–17 and 2020–23. Setting England. Participants 5,593 adults (2,524 with a history of ≥1 mental health conditions and 3,069 without) who had smoked regularly within the past year and had attempted to quit at least once in the past year. Main outcome measures The outcome was self-reported abstinence from quit date up to the survey. Independent variables were use of the following cessation aids during the most recent quit attempt: prescription nicotine replacement therapy (NRT), NRT over-the-counter, varenicline, bupropion, vaping products, face-to-face behavioural support, telephone support, written self-help materials, websites, hypnotherapy, Allen Carr’s Easyway, heated tobacco products, and nicotine pouches. The moderator was history of diagnosed mental health conditions (yes/no). Covariates included sociodemographic characteristics, level of cigarette addiction, and characteristics of the quit attempt. Results Relative to those without, participants with a history of mental health conditions were significantly more likely to report using vaping products (38.8% [95%CI 36.7–40.8] vs. 30.7% [28.9–32.5]), prescription NRT (4.8% [3.9–5.7] vs. 2.7% [2.1–3.3]), and websites (4.0% [3.2–4.8] vs. 2.2% [1.6–2.7]). Groups did not differ significantly in their use of other aids. After adjusting for covariates and use of other cessation aids, those who used vaping products (OR = 1.92, 95%CI 1.61–2.30), varenicline (OR = 1.88, 95%CI 1.19–2.98), or heated tobacco products (OR = 2.33, 95%CI 1.01–5.35) had significantly higher odds of quitting successfully than those who did not report using these aids. There was little evidence that using other cessation aids increased the odds of successful cessation, or that the user’s history of mental health conditions moderated the effectiveness of any aid. Conclusions Use of vaping products, varenicline, or heated tobacco products in a quit attempt was associated with significantly greater odds of successful cessation, after adjustment for use of other cessation aids and potential confounders. There was no evidence to suggest the effectiveness of any popular cessation aid differed according to the user’s history of mental health conditions.

Implementing a Staff-Led Smoking Cessation Intervention in a Diverse Safety-Net Rheumatology Clinic: A Pre-Post Scalability Study in a Low-Resource Setting.

Quit Connect (QC), our specialty clinic smoking cessation intervention, supports clinic staff to check, advise, and connect willing patients to a state quit line or class. QC improved tobacco screening and quit line referrals 26-fold in a predominantly White academic health care system population. Implementing QC includes education, electronic health record (EHR) reminders, and periodic audit feedback. This study tested QC's feasibility and impact in a safety-net rheumatology clinic with a predominantly Black population. In this pre-post study, adult rheumatology visits were analyzed 12 months before through 18 months after QC intervention (November 2019 through November 2021, omitting COVID-19 peak April through November 2020). EHR data compared process and clinical outcomes, including offers, referrals to resources, completed referrals, and documented cessation. Clinic staff engaged in pre-post focus groups and questionnaires regarding intervention feasibility and acceptability. Cost-effectiveness was also assessed. Visit-level patients who smoked were 89.8% Black and 69.5% women (n = 550). Before intervention, clinic staff rarely asked patients about readiness to cut back smoking (<10% assessment). After QC intervention, staff assessed quit readiness in 31.8% of visits with patients who smoked (vs 8.1% before); 58.9% of these patients endorsed readiness to cut back or quit. Of 102 accepting cessation services, 37% (n = 17) of those reached set a quit date. Staff found the intervention feasible and acceptable. Each quit attempt cost approximately $4 to $10. In a safety-net rheumatology clinic with a predominantly Black population, QC improved tobacco screening, readiness-to-quit assessment, and referrals and was also feasible and cost-effective.

Clinician Views of Proactive Tobacco Treatment Programs: A Qualitative Evaluation.

Proactive tobacco treatment programs are an evidence-based strategy to recruit patients who smoke to make supported quit attempts. However, such programs are rarely implemented. We performed a qualitative assessment of clinicians to inform the creation of a proactive outreach program for patients with chronic obstructive pulmonary disease (COPD) who smoke. Informed by the Consolidated Framework for Implementation Research, we conducted semi-structured interviews to assess clinician views of proactive outreach, including barriers, program structure, and the use of technology. Clinicians included primary and specialty care physicians, nurses and advanced practice providers, pharmacists, respiratory therapists, a psychologist, and relevant members of leadership. Interviews were transcribed and analyzed using directed content analysis. Clinicians in all roles identified that proactive outreach could be an effective use of resources to help patients with COPD who smoke quit with several advantages over the current state. Clinicians disagreed on the priority population (e.g., younger patients, sicker patients), and to some extent on whether proactive outreach is a clinical priority. Though they supported that technology could be part of the outreach program, most advocated for multiple avenues (phone calls, drop-in clinic, texting), as these patients were perceived to be low technology utilizers. The primary implementation barriers were competing priorities and cost, as well as unclear billing and staffing models. Clinicians support proactive outreach for patients with COPD, but the optimal way to structure, staff, and fund such programs remains unclear. Health systems should leverage implementation strategies to speed uptake of these potentially life-saving programs.

Does e-cigarette use predict short-term smoking cessation behaviors among adults who smoke in Mexico? A longitudinal study

IntroductionThis study assessed quit attempts among adults who use cigarettes either exclusively or with e-cigarettes in Mexico, where non-daily smoking predominates. MethodsAn open cohort of Mexican adults who smoke was surveyed every four months from November 2018 to March 2021. Participants followed to the next survey were analyzed (n = 2220 individuals, 4560 observations). Multinomial logistic models regressed smoking quit attempts reported at the followup survey (ref = no attempt; tried to quit; sustained attempt of ≥30 days) on e-cigarette use frequency (none = ref; 1–2 days/week; ≥3 days/week), adjusting for sociodemographics and smoking-related variables. Additional models subdivided e-cigarette users by intentions to quit smoking in the next six months (i.e., yes/no), use of nicotine (i.e., yes/no), and vaping device used (i.e., open/closed). ResultsAt 4-month follow-up, 32.7 % had tried to quit, and 2.9 % had quit for 30 days or more. Compared to those who smoke exclusively, occasional, and frequent e-cigarette users were more likely to try to quit (Adjusted Relative Risk Ratio or ARRR = 1.26 and 1.66, respectively) but no more likely to sustain their quit attempt. Among those who intended to quit smoking, e-cigarette users were no more likely to either try or sustain quit attempts. Furthermore, use of e-cigarettes with nicotine (59.6 %) was unassociated with cessation except that those who frequently used e-cigarettes with nicotine were more likely to try to quit than those who smoke exclusively (ARRR = 1.88). Device type used was not differentially associated with outcomes. ConclusionsMexicans who smoke and use e-cigarettes appear more likely than those who smoke exclusively to try to quit but not to sustain abstinence.

Intention to Quit Tobacco due to Media Advertisements in India: Findings from Global Adult Tobacco Survey 2016-17.

Tobacco has been among the most important causes of morbidity and mortality worldwide. In reducing tobacco consumption, media campaigns are crucial in raising awareness and encouraging individuals to quit. The present study aimed to profile participants of GATS-2, including tobacco usage patterns and media exposure, and explore the factors associated with quitting in the presence of media exposure. Secondary data analysis of Global Adult Tobacco Survey-India (2016-17) data was done among current daily cigarette smokers and smokeless tobacco users. The primary independent variable was an intention to quit, while media exposure was the primary independent variable. Respondents were profiled as per various socio-demographic variables, and exposure to media advertisements and intention to quit were assessed using weighted bivariate analysis and multivariate log regression analysis. Males, and respondents aged 15 to 45, had more exposure to media and advertisements than female respondents. Cigarette smokers with moderate consumption, better awareness, those who had made any quit attempts in the last 12 months, and moderate to high media exposure depicted better intention to quit. In SLT users, intention to quit depicted significant odds per education level quit attempts and exposure to media and advertisements. We report a high intention to quit among those exposed to advertisements. Media campaigns play an important role in promoting tobacco control. There is a need to assess the impact of such advertisements on behavioral aspects. At the same time, comprehensive tobacco control policies should go hand in hand in reducing smoking rates.

An opt-out tobacco treatment group intervention within an intensive substance use disorders treatment program: Initial outcomes in the Veterans Health Administration.

Despite steadily declining rates of tobacco use in the United States, individuals suffering from substance use disorders (SUD) and other mental illnesses continue to use tobacco at alarmingly high rates, resulting in increased mortality. Given the synergistic consequences to those who suffer from both tobacco use disorders (TUD) and other SUD, embedding tobacco treatment into structured SUD programs using an opt-out approach may yield a greater impact. The current study compares clinical outcomes (i.e., quit attempts and prescription of tobacco cessation medications) for an opt-out versus opt-in approach to tobacco treatment. Tobacco use information was collected prior to and after implementation of an opt-out, eight-session, tobacco group treatment intervention. Patient self-report and medical chart review were utilized to identify individuals who began a tobacco cessation medication during treatment as well as those who reported quitting tobacco, defined as sustained tobacco abstinence for at least seven days. The analysis includes a total of N = 332 Veterans who enrolled in the Intensive Outpatient Program (IOP). Those enrolled in the opt-out tobacco treatment group reported a significantly higher rate of quitting tobacco (24.57%) than those in the opt-in group (2.55%; p <.001). Likewise, the opt-out group was prescribed tobacco cessation medications at a significantly higher rate than the opt-in group (55.00% compared to 14.65%; p <.001). An opt-out treatment approach to TUD in SUD treatment settings produced improved outcomes, including significantly more patients engaged in TUD treatment and a higher overall rate of SUD treatment completion. Given the disproportionately high rate of tobacco use among those seeking treatment for SUD, enhanced tobacco cessation interventions could result in both improved tobacco as well as other substance use outcomes. The implementation of an opt-out tobacco treatment intervention embedded into SUD programming is supported by our findings of reduced tobacco use among patients.

Statistical methods for predicting e-cigarette use events based on beat-to-beat interval (BBI) data collected from wearable devices.

The prevalence of e-cigarette use among young adults in the USA is high (14%). Although the majority of users plan to quit vaping, the motivation to make a quit attempt is low and available support during a quit attempt is limited. Using wearable sensors to collect physiological data (eg, heart rate) holds promise for capturing the right timing to deliver intervention messages. This study aims to fill the current knowledge gap by proposing statistical methods to (1) de-noise beat-to-beat interval (BBI) data from smartwatches worn by 12 young adult regular e-cigarette users for 7days; and (2) summarize the de-noised data by event and control segments. We also conducted a comprehensive review of conventional methods for summarizing heart rate variability (HRV) and compared their performance with the proposed method. The results show that the proposed singular spectrum analysis (SSA) can effectively de-noise the highly variable BBI data, as well as quantify the proportion of total variation extracted. Compared to existing HRV methods, the proposed second order polynomial model yields the highest area under the curve (AUC) value of 0.76 and offers better interpretability. The findings also indicate that the average heart rate before vaping is higher and there is an increasing trend in the heart rate before the vaping event. Importantly, the development of increasing heart rate observed in this study implies that there may be time to intervene as this physiological signal emerges. This finding, if replicated in a larger scale study, may inform optimal timings for delivering messages in future intervention.

Smokers with higher positive or negative urgency have lower rates of smoking cessation success 12 months after a quit attempt

Impulsivity dimensions have been shown to be associated with smoking status and tobacco use disorder severity. However, it is important to determine the specific impulsivity traits associated with smoking relapse. This study aimed at investigating the associations between impulsivity traits and smoking cessation success among adult smokers at 12 months after a quit attempt. Participants were 68 adult smokers enrolled in a 3-month course of simvastatine or placebo associated with behavioral cessation support, with a 9-month follow-up (ADDICSTATINE study). They were classified in 3 groups according to smoking status: abstinent, reduction ≥ 50%baseline or reduction < 50%baseline at 3 and 12 months. Impulsivity traits were assessed using the UPPS-P-scale. At 12 months, abstainers and participants who reduced smoking by 50% or more had significantly lower scores in negative and positive urgency compared to participants who reduced smoking by less than 50% (p = 0.011 and 0.0059). These urgency traits scores at 12 months were significantly and negatively correlated with smoking reduction at 12 months (p = 0.017 and 0.0012). These impulsivity traits were also associated with the smoking cessation success at 3 months. Patients who were abstinent at 3 months had also lower negative and positive urgency (p = 0.017 and 0.0039). Smoking cessation success at 3 and 12 months were not associated with the other impulsivity traits, sensation seeking, lack of premeditation or perseverance. Our findings suggest that positive and negative urgency are associated with smoking cessation success. Proposing better tailored-based-treatment targeting these impulsivity traits in combination with conventional treatment may help improving smoking treatment success.

Heated tobacco product use frequency, smoking quit attempts, and smoking reduction among Mexican adult smokers.

Heated tobacco products (HTPs) are promoted as less harmful than cigarettes; nonetheless, whether HTPs help smokers quit is uncertain. Data from 4067 Mexican adult smokers surveyed longitudinally every four months (November 2019-March 2021) were analyzed. Mixed-effects multinomial models regressed HTP use frequency (no use=reference; monthly; weekly; and daily use) on sociodemographics and tobacco/nicotine-related variables. Among participants who completed at least two surveys (n=2900) over four months, the duration of their longest smoking quit attempt (SQA) between surveys (SQAs: <30 days; ≥30 days; no SQA=reference) was regressed on HTP use frequency, and changes in the number of cigarettes smoked per day were regressed on HTP initiation between surveys, adjusting for covariates. Consistent predictors of all HTP use frequencies (monthly, weekly, or daily vs no use) were daily smoking >5 cigarettes (ARRR=1.69 [95% CI: 1.12-2.55], 1.88 [95% CI: 1.26-2.81] and 6.46 [95% CI: 3.33-12.52], respectively); e-cigarette use (ARRR =5.68 [95% CI: 3.38-9.53], 6.54 [95% CI: 4.06-10.55] and 2.59 [95% CI: 1.26-5.30]); lower HTP risk perceptions (ARRR=2.12 [95% CI: 1.50-30.00], 2.25 [95% CI: 1.63-3.10] and 2.00 [95% CI: 1.25-3.22]); exposure to HTP information inside (ARRR=2.13 [95% CI: 1.44-3.15], 2.13 [95% CI: 1.49-3.05] and 3.72 [95% CI: 2.28-6.09]) and outside stores (ARRR=2.36 [95% CI: 1.56-3.57], 2.32 [95% CI: 1.65-3.25] and 2.44 [95% CI: 1.41-4.24]) where tobacco is sold; having family (ARRR=2.46 [95% CI: 1.54-3.91], 2.90 [95% CI: 1.93-4.37] and 2.96 [95% CI: 1.52-5.77]) and friends (ARRR=5.78 [95% CI: 3.60-9.30], 4.98 [95% CI: 3.22-7.72] and 6.61 [95% CI: 2.91-15.01]) who use HTPs. HTP use frequency was not associated with quit attempts, except for monthly HTP use predicting SQAs lasting ≥30 days (ARRR=2.12 [95% CI: 1.17-3.85]). Initiation of HTP use was not associated with changes in smoking frequency. Limiting analysis to those who intend to quit smoking also yielded null results. Among Mexican adult smokers, frequency of HTP use was mostly not associated with either cessation behaviors or changes in cigarette consumption, suggesting that HTPs have limited to no effectiveness for smoking cessation.

Patterns and associated factors of shisha usage among the undergraduate students of Jouf University, Saudi Arabia: A cross-sectional study.

Shisha tobacco use is gaining popularity around the world, especially among young people and college students. Shisha users are exposed to many of the same harmful substances as cigarette smokers but at much higher levels, which could have more serious adverse health impacts. The aims of this study were to: 1) determine the patterns of shisha smoking among university students in the Northern Province of Saudi Arabia; 2) identify the reasons for using shisha tobacco; and 3) ascertain whether usage of shisha smoking differs by their sociodemographic characteristics. A cross-sectional survey was conducted among students of seven different colleges at a public university between October and December 2022. A modified version of the Global Youth Tobacco Survey questionnaire was used to collect information specifically on shisha smoking. After adjusting for confounding variables, a logistic regression analysis was used to determine the related factors. A total of 418 participants were included in the study. Of the studied population, shisha smoking was seen in 73.7% (n=308). Out of 308 shisha smokers, 208 (67.5%) had their first session of shisha smoking within the past two years; 34.4% of participants had used it in the past 30 days (current users), of which 27.4% had smoked shisha from 1 to 7 days during the past 30 days. The majority of respondents (63.6%) reported having friends that smoke. The most popular flavor among respondents (24.6%) was apple. For quitting attempts, 46.4% reported a 24-hour quit attempt in the previous year. Stress (23.0%) was reported as the main reason for beginning shisha use. Shisha smoking was significantly associated with age (Ref. 18-20 years; 24-26 years, AOR=0.08; 95% CI: 0.02-0.33, p<0.001; ≥27 years, AOR=0.12; 95% CI: 0.02-0.62, p=0.01), living status (Ref. alone; with family, AOR=0.23; 95% CI: 0.11-0.47, p<0.001; with friends, AOR=0.36; 95% CI: 0.18-0.76, p<0.001), with parents having higher education level (Ref. primary school and lower; Bachelor's, AOR=0.33; 95% CI: 0.14-0.76, p<0.001; diploma, AOR=0.33; 95% CI: 0.15-0.73, p<0.001; PhD, AOR=5.15; 95% CI: 1.00-9.65, p=0.05). Shisha use was more frequent among Saudi Arabian college students, especially those who were aged 18-20 years, living alone, and having highly educated parents.

Factors associated with intentions to quit vaping and quit attempts among Adolescents: A structural equation modeling approach

ObjectivesPrevious youth tobacco research has identified multiple factors relating to intentions to quit vaping and quit attempts among current e-cigarette users in adolescents. The pathways in the complex associations with vaping cessation behaviors remain unclear. MethodsUsing data from the 2022 National Youth Tobacco Survey (NYTS) (grades 6–12), structural equation models (SEMs) are developed to examine the associations of social environment, vaping risk perceptions, e-cigarette marketing, vaping characteristics, and demographics with two outcome measures – intentions to quit vaping and past year quit attempts among current e-cigarette users. ResultsThe national sample of current e-cigarette users (n = 2,701) consisted of 52.7 % females, 47.0 % non-Hispanic Whites, 80.1 % high school students, and 56.2 % heterosexual individuals. Among them, 70.2 % reported intentions to quit vaping and 66.3 % reported past year quit attempts. The protective factor for quit intentions was vaping risk perceptions (p < 0.001). Risk factors included e-cigarette marketing (p = 0.04), dual use of e-cigarettes and other tobacco products (p = 0.003), vaping due to feeling anxious or stressed (p = 0.01), vaping for nicotine buzz (p = 0.002), nicotine dependence (p = 0.02), identifying as Gay or Lesbian (p < 0.001), bisexual (p = 0.03), or Hispanic (p = 0.04). Similar associations were observed with quit attempts except that e-cigarette marketing, vaping due to feeling anxious or stressed, vaping dependence, and identifying as Hispanic were not significant. Besides, high vaping frequency (p < 0.001), grade level (p < 0.001) and not sure about sexual orientation (p = 0.01) were also negatively associated with quit attempts. ConclusionsThis study provided insights into factors influencing vaping cessation outcomes among adolescent current e-cigarette users. Developing tailored vaping cessation programs based on these findings could enhance quit success.

Isradipine augmentation of virtual reality cue exposure therapy for tobacco craving: a triple-blind randomized controlled trial.

Preclinical research with rodents suggests that the L-type calcium channel blocker isradipine can enhance long-term extinction of conditioned place preference for addictive substances when it is administered in conjunction with extinction training. Although isradipine alone, which is FDA-approved for hypertension, has not shown a direct effect on craving in human drug users, its potential to augment behavioral treatments designed to reduce craving remains unknown. We conducted a triple-blind, randomized placebo-controlled pilot clinical trial of isradipine combined with a novel virtual reality cue exposure therapy (VR-CET) approach with multimodal cues that targeted craving. After 24 hours of abstinence, 78 adults with an ongoing history of daily cigarette use received isradipine (n = 40) or placebo (n = 38) and reported craving levels after each of 10 trials of VR-CET. Consistent with pre-registered hypotheses, the isradipine group had significantly lower mean craving across cue exposure trials at the medication-free 24-hour follow-up (d = -0.42, p = 0.046). There were no serious adverse events; however, side effects such as headache and dizziness occurred more frequently in the isradipine group. The findings of the current study support follow-up clinical trials that specifically test the efficacy of isradipine-augmented VR-CET for reducing smoking relapse rates after an initial quit attempt. clinicaltrials.gov: NCT03083353.

Social smoker identity and associations with smoking and quitting behaviour: A cross-sectional study in England

Background'Social smoking' typically occurs predominantly or exclusively in the presence of others who are smoking. Relatively little is known about changes in the prevalence of 'social smoking identity' over time and its association with other smoking-related correlates. MethodsData were from the Smoking Toolkit Study, a nationally-representative cross-sectional survey in England. Participants were 26,774 adults who currently smoked or had quit in the past year, surveyed between February-2014 and April-2021. We estimated the proportion identifying as having a social smoking identity, changes over time, and associations with smoking in social situations, cigarette dependence, motivation to stop, quit attempts and success. ResultsOf adults who currently smoked or had quit in the past year, 34.0% (95% Confidence Interval (CI)=33.5–34.6) identified as having a social smoking identity. There was a near linear increase in this proportion from 31.9% (95%CI=29.7–34.2) in February-2014 to 36.5% (95%CI=34.1–38.9) in April-2021. Adults who currenty smoked identifying as having a social smoking identity were less cigarette dependent (adjusted B=0.34, 95%CI=0.31–0.37) and more motivated to stop (aOR=1.20, 95%CI=1.15–1.26) than those who did not. Adults who currently smoked or had quit in the past year identifying as having a social smoking identity reported more smoking in social situations (aOR=6.45, 95%CI=6.13–6.80) and past-year quit attempts (aOR=1.22, 95%CI=1.14–1.30) than those who did not. Quit success was not associated with having a social smoking identity among adults who currently smoked or had quit in the past year and who had attempted to quit (aOR=0.90, 95%CI=0.79–1.02). ConclusionsAn increasing proportion, over a third, of adults who currently smoked or had quit in the past year in England identify as having a social smoking identity. Despite being associated with lower dependence, greater motivation to quit and more quit attempts, social smoking identity is not associated with greater quit success, suggesting a complex interplay between identity and smoking-related behaviours.

Developing content for a virtual reality scenario that motivates quit attempts in adult smokers: A focus group study with art-based methods.

Virtual reality (VR) could be used to deliver messages to smokers that encourages them to attempt quitting. For a VR smoking cessation intervention to be effective, the target population must find the content engaging, relevant, inoffensive, and compelling. Informed by health behaviour theory and narrative transportation theory, this study used focus groups combined with art-based methods (participant sketches) to inform the development of VR content that will appropriately address smokers' beliefs about quitting smoking. Data were analysed using reflexive thematic analysis. Four in-person focus groups (N = 21) were held between July and August 2023. Just under half the sample were from an ethnic minority (42.8%) and women (42.9%), and the mean age was 33.6 years (standard deviation = 15.9). More than half the sample had a low motivation to quit (61.0%). We developed six themes concerning: the VR content suggested by participants, the rationale behind it, its technological execution and potential widescale implementation. Many participants downplayed the health consequences of smoking, prioritising the immediate rewards of smoking over quitting's long-term benefits. Therefore, participants suggested content set in the future, showing the benefits of cessation or the negative consequences of continued smoking. Family members were recommended as supporting VR characters to increase the contents' emotional salience. Participants also suggested graphic content that would trigger anxiety about smoking, suggesting that fear appeals were welcome. Participants wanted a truly novel intervention- not a leaflet about smoking statistics presented through VR. Participants suggested healthcare locations (e.g., doctors' offices) for implementation, as home ownership of VR headsets is low. Also, this would make the VR appear more legitimate as a health intervention (rather than casual entertainment) and could complement in-person advice. Future research will refine the participant-generated ideas with experts in VR design and smoking cessation.

Behavioural support and nicotine replacement therapy for smokeless tobacco cessation in Bangladesh, India and Pakistan: A pilot randomized controlled trial.

Smokeless tobacco (ST) use in South Asia is high, yet interventions to support its cessation are lacking. We tested the feasibility of delivering interventions for ST cessation in South Asia. We used a 2× 2 factorial design, pilot randomized controlled trial with a duration of 26 weeks, including baseline and follow-up (6, 12 and 26 weeks) assessments. Two primary health-care facilities each in Dhaka (Bangladesh) and Karachi (Pakistan) and a walk-in cancer screening clinic in Noida (India) took part. Adult daily ST users willing to make a quit attempt within 30 days. Of 392 screened, 264 participants [mean age: 35 years, standard deviation = 12.5, 140 (53%) male] were recruited between December 2020 and December 2021; 132 from Bangladesh, 44 from India and 88 from Pakistan. Participants were randomized to one of three treatment options [8-week support through nicotine replacement therapy (NRT, n= 66), a behavioural intervention for smokeless tobacco cessation in adults (BISCA, n= 66) or their combination (n= 66)] or the control condition of very brief advice (VBA) to quit (n= 66). Recruitment and retention, data completeness and feasibility of intervention delivery were evaluated. Biochemically verified abstinence from tobacco, using salivary cotinine, was measured at 26 weeks. Retention rates were 94.7% at 6 weeks, dropping to 89.4% at 26 weeks. Attendance in BISCA pre-quit (100%) and quit sessions (86.3%) was high, but lower in post-quit sessions (65.9%), with variability among countries. Adherence to NRT also varied (45.5% Bangladesh, 90% India). Data completion for key variables exceeded 93% among time-points, except at 26 weeks for questions on nicotine dependence (90%), urges (89%) and saliva samples (62.7%). Among follow-up time-points, self-reported abstinence was generally higher among participants receiving BISCA and/or NRT. At 26 weeks, biochemically verified abstinence was observed among 16 (12.1%) participants receiving BISCA and 13 (9.8%) participants receiving NRT. This multi-country pilot randomized controlled trial of tobacco cessation among adult smokeless tobacco users in South Asia demonstrated the ability to recruit and retain participants and report abstinence, suggesting that a future definitive smokeless tobacco cessation trial is viable.

Vaping Behavior and Intention to Quit among Undergraduate Students in a Hispanic-Serving University.

The surge in electronic nicotine delivery systems (ENDS) usage, particularly among young adults, poses significant public health concerns. This study aimed to identify predictors of e-cigarette use, quit attempts, and frequency among undergraduate students in a Hispanic-serving university in Texas. A cross-sectional study was conducted between August 1 and October 26, 2023, recruiting undergraduate students through the Sona system, an online experiment management platform. Participants completed an online survey that covered demographics, educational status, vaping status, initiation age, reasons for first and current e-cigarette use, frequency of past usage, intentions to quit, and quit attempt frequency. Statistical analysis included descriptive statistics, multinomial logistic regression, and multivariable linear regression. Among 316 participants, 33.9% reported current e-cigarette use. Junior and senior students, as well as prior tobacco users, were more likely to be current vapers. Prior vaping experience was more prevalent among Hispanic individuals and those with a history of tobacco use. Notably, 74.3% of current users attempted to quit in the past year, with a higher frequency of quit attempts among females, Hispanic students, and those with vaping acquaintances. However, the vaping behavior and quit attempt patterns were similar across other categories. This study highlights how various factors influence e-cigarette use among college students. It suggests that prevention and quitting programs should consider the specific needs of different groups. Future studies will continue to look at different student groups to find the most effective ways to help them quit vaping.