Smoking Cessation Attempts Research Articles

Smoking cessation and prognosis during long-term follow-up after stroke, TIA, and acute coronary syndrome-results from the randomized controlled NAILED trial.

About 50% of patients continue to smoke after stroke and myocardial infarction. We aimed to assess the effect of a multiple risk factor intervention on long-term smoking cessation and to explore a possible association between early smoking cessation and long-term prognosis. Consecutive patients with stroke/TIA/acute coronary syndrome (ACS) at Östersund Hospital during 2010-2014 were included, randomized to intervention or usual care (1:1), and followed through 2017. This substudy included participants that reported current smoking during hospitalization and were alive at 1 month post discharge when the intervention began (n = 321). The smoking cessation intervention was part of a telephone-based, multiple risk factor intervention delivered by a nurse and consisted of brief advice delivered annually. Smoking cessation at the last follow-up was analyzed as the primary outcome. Smoking cessation at other time points and association between early smoking cessation and prognosis (CV events, survival) were secondary outcomes. After a mean follow-up of 4.2 years, 171 participants reported nonsmoking, with no significant difference between the intervention and control group (50.3% vs. 56.3%, absolute difference 5.9%, 95% CI -5.0 to 16.7, p = 0.286). Of these, 80.7% had stopped smoking within 1 month after discharge. The intervention did not improve smoking cessation proportions in the long or short term, and there was no apparent effect on smoking cessation attempts or sustained abstinence. Smoking cessation within 1 month was associated with lower all-cause mortality (HR 0.52, 95% CI 0.32-0.87), and there was a nonsignificant trend towards a lower incidence of CV events (HR 0.71, 95% CI 0.45-1.12). Annual brief advice by a nurse as part of a multiple risk factor follow-up did not improve long-term smoking cessation after stroke/TIA/ACS. Continued smoking past 1 month was associated with worse prognosis. ISRCTN registry ISRCTN96595458, ISRCTN23868518, ISRCTN30433343.

Understanding use of e-cigarettes for smoking cessation among a sample of US adults.

Many adults who smoke cigarettes report trying e-cigarettes to quit smoking. Understanding the use of e-cigarettes for smoking cessation and the type of support that adults desire when trying to quit smoking is important for supporting cessation attempts and maximizing smoking abstinence. In summer 2021, an online survey of 857 adults who reported a history of regular cigarette smoking and endorsed using e-cigarettes in a recent smoking cessation attempt was conducted. Survey items assessed reasons for using e-cigarettes to quit smoking, what was helpful about e-cigarettes, and what information participants desired when using e-cigarettes to quit smoking. Common reasons for using e-cigarettes to quit smoking included beliefs that vaping would be helpful for quitting (53.6%), vaping is safer than smoking (50.5%), and favorable comparisons relative to other nicotine replacement treatment (NRT) like nicotine patches and gum (24.7%). 23.8% selected e-cigarettes because they were cheaper than other smoking cessation aids. 89% of participants reported still smoking cigarettes at the time of survey. The most common information people wanted when quitting was advice on how to gradually reduce nicotine over time to become nicotine-free (46.3%), how different vaping devices work (39.7%), and what nicotine concentration to start with (37.7%). Findings identified common beliefs about e-cigarettes as a smoking cessation aid and how they compare to other treatments including NRT. Understanding factors that support cessation are critical especially due to high relapse rates. Results may help to inform support programs, especially for individuals who are interested in using e-cigarettes to quit smoking. Despite greater reporting, there is a limited understanding of e-cigarette use for quitting among those who smoke cigarettes.Our study highlights the reasons for using e-cigarettes among those who have recently tried e-cigarettes for quitting smoking, and the components of e-cigarette that were helpful.We also examined the desired support in a program designed to use e-cigarettes for quitting smoking. Majority of participants who attempted to quit smoking using an e-cigarette relapsed to smoking, indicating the gap in cessation support that can be filled with greater understanding of the desired support.

Effects of in vivo NRT sampling on smoking abstinence and NRT adherence: A randomized clinical trial

BackgroundNicotine replacement therapy (NRT) is an effective treatment but is associated with poor adherence during smoking cessation attempts. This study aimed to determine if In Vivo Sampling, an experiential intervention that includes sampling of NRT in-session, increases NRT adherence and smoking abstinence compared to standard smoking cessation behavioral counseling. MethodsEligible participants were under community corrections supervision and smoked five or more cigarettes per day for the past year. Participants were randomly assigned to receive either In Vivo Sampling or standard smoking cessation behavioral counseling. Both interventions involved four 30-minute sessions and received 12 weeks of combination NRT. Self-reported NRT adherence, quit attempts, and carbon monoxide (CO)-verified smoking cessation were measured at one, three-, and six-months post-intervention. ResultsFrom 2017–2022, 515 participants were enrolled and randomized. The In Vivo Sampling group had significantly greater mean adherence to patch and lozenge NRT regimens (71 % vs. 60 %, OR: 1.63, 95 % CI: 1.36–1.96, p<.001). The In Vivo group had a significantly higher likelihood of quit attempts across time (61 % vs. 53 %, OR: 1.4, 95 % CI: 1.05–1.87, p=.021). Groups did not significantly differ on the percent of participants who had quit smoking at 6 months post-intervention (17 % In Vivo Sampling vs. 13 % standard counseling, OR: 1.43, p=.24). ConclusionIn Vivo Sampling demonstrated better NRT adherence and quit attempts but similar cessation rates to standard behavioral counseling. The In Vivo Sampling intervention represents a novel approach that increased behaviors typically associated with successful cessation over standard behavioral counseling.

Smokers' Characteristics Associated with Successful Smoking Cessation Undergoing Pharmacotherapy in Slovenia.

Tobacco use is a major global health problem, contributing to premature death and disability. In Slovenia, the prevalence of smoking is higher than the EU average, emphasizing the need for effective tobacco control measures. The aim of this study was to identify the characteristics of patients most likely to benefit from pharmacotherapy for smoking cessation. We performed cross-sectional analysis of factors associated with successful smoking cessation using pharmacotherapy for Slovenian smokers. A total of 176 (24.6%) smokers with an average age of 50 years agreed to receive pharmacotherapy for their smoking cessation attempt and were enrolled in the study. Participants were followed up at 4-week intervals during treatment and for 24 weeks after completion of pharmacotherapy. Attempts to quit smoking with prescription medications were successful in 24.4% of those willing to try. Female smokers, older persons, those with more children, with a lower self-perception of health, a higher number of cigarettes per day and a higher nicotine dependence were more likely to attempt to quit smoking. However, the strongest predictors of smoking cessation success were lower nicotine dependence, which was tested using the Fagerström test for nicotine dependence, and higher adherence to pharmacotherapy. Nicotine dependence and adherence to pharmacotherapy are the strongest predictors of a successful smoking cessation attempt. Identification of potential responders, prescription of pharmacotherapy and follow-up are applicable in the primary healthcare setting.

The impact of tobacco tax increases on cost-minimising behaviours and subsequent smoking cessation in Australia: an analysis of the International Tobacco Control Policy Evaluation Project

ObjectiveWe examined the relationship in Australia from 2007 to 2020 between tobacco tax increases and use of cost-minimising behaviours (CMBs) when purchasing tobacco and: (1) tobacco expenditure and (2) smoking...

Smoking cessation rate and predictors of successful quitting in Jordan: A cross-sectional study.

Tobacco smoking in Jordan is the highest in the Middle East, with health consequences and economic burdens. Smoking cessation improves health and grows the economy. This study aimed to determine the prevalence of smoking cessation in Jordan and to identify the determinants of effective quitting. This cross-sectional study was conducted using an online survey directed towards the general population of Jordan. The questionnaire was formulated in Arabic and inquired about sociodemographic factors, health status, behaviors, smoking habits, previous quitting attempts, utilization of smoking cessation services, attitudes towards quitting, and barriers to quitting. Data were analyzed using Statistical Package for Social Science version 25. A total of 463 participants were included in this study. Twenty-one percent of them were ex-smokers (n = 97), 86% were male, 63.3% were from the middle governorates, and 29.2% were 24 years old or younger. The rate of sustained quitting for at least 3 months among participants was 13.6%. The factors associated with successful quitting included age > 50 years (P = .001), practicing regular physical activity (P = .003), using more than 1 tobacco product (P = .000), smoking waterpipes or e-cigarettes (P = .000 and .015, respectively), lower levels of nicotine dependence (P = .009), duration of smoking (P = .000), higher number of smoking cessation attempts (P = .000), having 1 or more chronic diseases (P = .049), and having DM (P = .003). More than half of the ex-smokers needed 2 to 5 attempts before successfully quitting smoking. There was a low rate of utilization of smoking cessation services and medications in both groups. On the other hand, there is a high rate of use of other smoking methods, particularly waterpipes and e-cigarettes, as an aid for quitting. Current smokers reported being in a stressful situation as a barrier to quitting significantly more often than did ex-smokers (P = .013). Both groups had moderately positive attitudes toward quitting. Ex-smokers had significantly better attitudes toward their ability to manage stress, weight gain, and increased appetite after quitting (P = .004, .004, and .007, respectively). This study provides valuable insights into the complex dynamics of smoking behavior, cessation attempts, and attitudes. These findings can inform the development of targeted smoking cessation programmes and policies.

Factors influencing smoking cessation attempts and success in Iranian male adults: national survey data

BackgroundSmoking cessation is a dynamic process that often involves a series of unsuccessful quit attempts before long-term abstinence is achieved. To implement interventions that lead to long-term abstinence, it will be necessary to understand the determinants of smoking cessation. Therefore, the main objective of the present study was to determine the effect of factors influencing both smoking cessation attempts and successful smoking cessation in the general population of Iran.MethodsThe data of 1293 participants whose information was obtained through a national cross-sectional study entitled “Survey of Risk Factors of Noncommunicable Diseases in 2016” were analyzed. There were three response levels: “quit attempt and successful quit”, “quit attempt and unsuccessful quit”, and “no quit attempt and unsuccessful quit”. A multinomial logistic regression model was used to assess the effect of covariates on response.ResultsThe mean (sd) age of all participants was 47.21 (13.65) years. According to the results, 883 people (68.29%) did not attempt to quit smoking, and of those who attempted to quit smoking, only 64 (15.61%) men were successful. The factors of living in an urban area (OR = 1.71) and past smoking intensity (OR = 1.967) were associated with no quit attempt and unsuccessful quitting. In addition, physician recommendation to quit smoking was a protective factor for no quit attempt and unsuccessful quit (OR = 0.599). Alcohol consumption was also a protective factor against successful quitting for both attempters (OR = 0.351) and nonattempters (OR = 0.359).ConclusionsTobacco control programs should be implemented with a greater focus on heavy smokers and alcohol users. In addition, the role of health professionals in encouraging smokers to quit smoking should not be ignored.

Project phoenix: Pilot randomized controlled trial of a smartphone-delivered intervention for people who are not ready to quit smoking

BackgroundMost people who smoke cigarettes report they want to quit in the future, but only 20 % are ready to quit within the next 30 days. This 3-arm pilot randomized controlled trial examined the feasibility and initial efficacy of a novel smartphone-based intervention that aimed to induce smoking cessation attempts among adults not initially ready to quit. MethodsParticipants randomized into the two intervention groups (Group 1: Phoenix App Only; Group 2: Phoenix App + Nicotine Replacement Therapy) received daily smoking cessation messages via smartphone application that were tailored to their current readiness to quit, while the attention control group (i.e., Factoid) received messages not related to smoking cessation. All participants completed a weekly survey for 26 weeks and used the app to set quit dates when/if desired. ResultsParticipants (N=152) were female (67.8 %), White (75.7 %), 50.0 years old (SD=12.5), and smoked 20.4 cigarettes per day (SD=10.5). Results indicated that the Phoenix interventions were feasible (e.g., participants viewed ~185 messages over 26 weeks; 74.8 % of weekly surveys were completed; 85.5 % completed the 26-week follow-up assessment). Phoenix participants set more quit dates, set quit dates sooner, were abstinent for more days, and used smoking cessation medications on more days than those assigned to the Factoid group. ConclusionsThis low-burden, smartphone-based smoking cessation induction intervention may increase smoking cessation attempts, and may reduce barriers that are encountered with traditional in-person or call-based interventions.Trial Registration: Clinicaltrials.gov number: NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129

How healthcare providers and the right information may play a critical role in quitting success among smokers interested in using e-cigarettes for quitting: Results from a survey of U.S adults.

Promoting smoking cessation is a global public health priority. E-cigarettes are increasingly being used by individuals to try quitting smoking. Identifying sources and types of information available to adults who are trying to quit, and the impact of this information during a quit attempt, is critical to augment the potential public health benefit of e-cigarettes for reducing cigarette smoking. US adults (N = 857) who reported using e-cigarettes in a recent smoking cessation attempt completed an anonymous, cross sectional, online survey. We examined sources of information and type of information received when using e-cigarettes to quit smoking and their associations with the duration of abstinence achieved. The two most commonly reported information sources were friends (43.9%) and the internet (35.2%), while 14.0% received information from a healthcare provider. People received information on type of device (48.5%), flavor (46.3%), and nicotine concentration (43.6%). More people received information about gradually switching from smoking to vaping (46.7%) than abruptly switching (30.2%). Obtaining information from healthcare providers (β (SE) = 0.16 (0.08), p = 0.04), getting information about abruptly switching to e-cigarettes (β (SE) = 0.14 (0.06), p = 0.01) and what nicotine concentrations to use (β (SE) = 0.18 (0.05), p = 0.03) were associated with longer quit durations. Amidst the growing popularity of e-cigarettes use for quitting smoking, our results highlight common sources of information and types of information received by individuals. Few people received information from healthcare providers indicating a gap in cessation support that can be filled. Providing information about immediate switching to e-cigarettes and nicotine concentrations to use may help in increasing quit rates and duration.

Changes in Smoking Behavior in the COVID-19 Pandemic: A Single Center Study in Family Practice

Objective: There are controversial studies on smoking addiction in the COVID-19 pandemic. While some studies show increased tobacco use during the pandemic, others report increased smoking cessation attempts. This study examined changes in tobacco use and quit intentions during the COVID-19 pandemic compared to pre-pandemic. Methods: A cross-sectional study was designed and three groups were formed by including patients over 18 years of age, who were smokers, and who presented to the Education Family Health Center and had RT-PCR test results for COVID-19. Among these patients, patients with COVID-19 symptoms and complaints and positive RT-PCR test results constituted the COVID-19 positive group, patients who were COVID-19 negative but isolated due to their contacts constituted the contact group, and healthy people without any COVID-19 contact and symptoms constituted the healthy group. Demographic characteristics, smoking status before the COVID-19 pandemic, change in smoking status after COVID-19 test result or contact, and Fagerström nicotine dependence test results were compared. Results: Of the total 131 participants enrolled in the study, 70 were in the healthy group, 31 were in the COVID-19 negative group, and 30 were in the COVID-19 positive group. Men were predominant in three groups (60%, 83.9%, and 73.3% in normal, COVID-19-neg, and COVID-19-positive groups, respectively) with a small significant difference (p=0.048). The mean ages were 41.09±12.85, 38.21±11.69, and 39.47±11.66 years in the healthy, COVID-19 negative, and COVID-19 positive groups, respectively, with no significant difference (p&gt;0.05). Fagerström dependence scores were 1.82±1.05, 1.53±0.86, and 1.40±0.72 in the healthy, COVID-19 negative, and COVID-19 positive groups, respectively, and were not statistically different (p&gt;0.05). Smoking prevalence decreased by 1.13 (±4.17) cigarettes per day in the healthy group, by 3.97 (±5.31) cigarettes in the COVID negative group, and by 10.14 (±7.86) cigarettes in the COVID positive group, with a statistically significant decrease in smoking prevalence in all three groups (p

Co-action and changes in alcohol use during a smoking cessation attempt.

Three smoking cessation studies (CARE, Break Free, Por Nuestra Salud [PNS]) were used to measure changes in average alcohol consumption, binge drinking and alcohol-related problems during a smoking cessation attempt and to explore co-action with smoking abstinence. CARE and PNS were longitudinal cohort cessation studies; Break Free was a two-arm randomized clinical trial. Texas, USA. Participants were current smokers who were recruited from the community and received smoking cessation interventions. All participants received nicotine replacement therapy and smoking cessation counseling. CARE included 424 smokers (1/3 White, 1/3 African American and 1/3 Latino); Break Free included 399 African American smokers; PNS included 199 Spanish-speaking Mexican-American smokers. Weekly alcohol consumption was collected multiple times pre and post-quit, and binge drinking and alcohol-related problems were collected at baseline and 26 weeks post-quit. Analyses included only those who indicated current alcohol use. Average alcohol consumption decreased from baseline to 26 weeks post-quit in CARE (F = 17.09, P < 0.001), Break Free (F = 12.08, P<0.001) and PNS (F = 10.21, P < 0.001). Binge drinking decreased from baseline to 26 weeks post-quit in CARE (F = 3.94, P = 0.04) and Break Free (F = 10.41, P < 0.001) but not PNS. Alcohol-related problems decreased from baseline to 26 weeks post-quit in CARE (Chi-sq = 6.41, P = 0.010) and Break Free (Chi sq = 14.44, P = 0.001), but not PNS. Among current drinkers, alcohol use/problems appear to decrease during a smoking cessation attempt and remain low through 26 weeks after the quit attempt. Little evidence was found for co-action, with smoking abstainers and relapsers showing similar change in alcohol use/problems.

Factors Associated with Smoking Cessation and the Receipt of Cessation Services in a Public, Safety-Net Primary Care System

BackgroundPrevalence of smoking is high among patients receiving care in safety-net settings, and there is a need to better understand patient factors associated with smoking cessation and receipt of cessation services.ObjectiveTo identify patient factors associated with smoking cessation attempts and receipt of cessation counseling and pharmacotherapy in a large safety-net health system.DesignWe conducted a retrospective cohort analysis using EHR data in a safety-net system in San Francisco, CA.ParticipantsWe included 7384 adult current smokers who had at least three unique primary care encounters with documented smoking status between August 2019 and April 2022.Main measuresWe assessed four outcomes using multivariate generalized estimating equation models: (1) any cessation attempt, indicating a transition in smoking status from “current smoker” to “former smoker”; (2) sustained cessation, defined as transition in smoking status from current smoker to former smokers for two or more consecutive visits; (3) receipt of smoking cessation counseling from healthcare providers; and (4) receipt of pharmacotherapy.Key ResultsOf 7384 current adult smokers, 17.6% had made any cessation attempt, and of those 66.5% had sustained cessation. Most patients (81.1%) received counseling and 41.8% received pharmacotherapy. Factors associated with lower odds of any cessation attempt included being aged 45–64, non-Hispanic black, and experiencing homelessness. The factor associated with lower odds of sustained cessation was being male. Factors associated with lower odds of receiving counseling were being insured by Medicaid or being uninsured. Factors associated with lower odds of receiving pharmacotherapy included speaking languages other than English, being male, and identifying as racial and ethnic minorities.ConclusionsHealth system interventions could close the gap in access to smoking cessation services for unhoused and racial/ethnic minority patients in safety-net settings, thereby increasing cessation among these populations.

Data-driven connectivity profiles relate to smoking cessation outcomes.

At a group level, nicotine dependence is linked to differences in resting-state functional connectivity (rs-FC) within and between three large-scale brain networks: the salience network (SN), default mode network (DMN), and frontoparietal network (FPN). Yet, individuals may display distinct patterns of rs-FC that impact treatment outcomes. This study used a data-driven approach, Group Iterative Multiple Model Estimation (GIMME), to characterize shared and person-specific rs-FC features linked with clinically-relevant treatment outcomes. 49 nicotine-dependent adults completed a resting-state fMRI scan prior to a two-week smoking cessation attempt. We used GIMME to identify group, subgroup, and individual-level networks of SN, DMN, and FPN connectivity. Regression models assessed whether within- and between-network connectivity of individual rs-FC models was associated with baseline cue-induced craving, and craving and use of regular cigarettes (i.e., "slips") during cessation. As a group, participants displayed shared patterns of connectivity within all three networks, and connectivity between the SN-FPN and DMN-SN. However, there was substantial heterogeneity across individuals. Individuals with greater within-network SN connectivity experienced more slips during treatment, while individuals with greater DMN-FPN connectivity experienced fewer slips. Individuals with more anticorrelated DMN-SN connectivity reported lower craving during treatment, while SN-FPN connectivity was linked to higher craving. In conclusion, in nicotine-dependent adults, GIMME identified substantial heterogeneity within and between the large-scale brain networks. Individuals with greater SN connectivity may be at increased risk for relapse during treatment, while a greater positive DMN-FPN and negative DMN-SN connectivity may be protective for individuals during smoking cessation treatment.

Process and effect evaluation of a referral aid for smoking cessation counselling in primary care: Findings of a randomized controlled trial.

This study explored the use and effects of a smoking cessation referral in: 1) practice nurses (PNs), and 2) smokers. The use of evidence-based smoking cessation interventions (EBSCIs) can double the likelihood of a successful smoking cessation attempt. A referral aid was developed to aid Dutch PNs in primary care in deciding which smokers are the most suitable for EBSCI. Two different studies were conducted: 1) a randomized controlled trial with a process evaluation (n=82) and effect evaluation (n=285) among smoking patients recruited by PNs (n=73), and 2) a process evaluation among a subgroup of PNs (n=40) from January 2019 to September 2020. Overall, the response in both groups was low. PNs found the referral aid materials clear and understandable. Smokers had similar but (slightly) less-positive opinions. The smokers in both groups did not differ in the amount of discussion and use of EBSCIs, nor on smoking abstinence. Further research should assess how to better involve PNs and smokers when recruiting for an RCT and how to foster effective counselling. Additional research should also look deeper into barriers to referral of both PNs and smokers, and how to stimulate referral to EBSCIs best and help smokers to make a decision; for example by implementing a simplified strategy both within the primary care setting and outside, by involving other healthcare professionals or options outside healthcare such as the workplace and social domain. The study was registered at the Netherlands Trial Register (NL7020, https://www.trialregister.nl/trial/7020).

Varenicline but not cotinine increased the value of a visual stimulus reinforcer in rats: No evidence for synergy of the two compounds

Smoking is the leading cause of preventable death worldwide, with <7 % of smoking cessation attempts being met with success. Nicotine, the main addictive agent in cigarettes, enhances the reinforcing value of other environmental rewards. Under some circumstances, this reward enhancement maintains nicotine consumption. Varenicline (i.e., cessation aid Chantix™) also has reward-enhancement effects via nicotinic acetylcholine receptor agonism (nAChRs) – albeit less robust than nicotine. Cotinine is the major metabolite of nicotine. Recent studies suggest that cotinine is a positive allosteric modulator (PAM) and/or a weak agonist at nAChRs. Thus, cotinine may enhance the behavioral effects of nAChR compounds such as varenicline and/or exert some behavioral effects alone. We used 20 (10M, 10F) Sprague-Dawley rats to assess reward-enhancement within-subjects by examining responding maintained by a reinforcing visual stimulus on a Variable Ratio 2 schedule of reinforcement. To assess the reward-enhancing effects of cotinine, rats received one injection of cotinine (saline, 0.1, 0.3, 1.0, 3.0, 6.0 mg/kg) before each 1 h session. To assess cotinine and varenicline interactions, rats received an injection of cotinine (saline, 0.1, 1.0, or 6.0 mg/kg) and of varenicline (saline, 0.1, 0.3, 1.0, or 3.0 mg/kg) before the session. While we replicated prior work identifying reward-enhancement by 0.1, 0.3, and 1.0 mg/kg varenicline, cotinine alone did not produce reward-enhancement nor augment the reward-enhancing effects of varenicline. Future studies may consider examining the reward-enhancing effects of cotinine with other reinforcers or co-administered with other smoking cessation aids such as bupropion.

A comparative study of changes in smoking cessation attempt rates and related factors before and during COVID-19

This study aimed to identify whether smoking cessation attempts (SCA) for health promotion changed during the coronavirus disease 2019 (COVID-19) pandemic and how the characteristics of people who undertook SCA before versus during COVID-19 differed. This was a secondary data analysis of the South Korean 2019–2021 Community Health Survey data for 163,334 smokers that compared sociodemographic factors, health behaviors, and health status by SCA and year using χ2 statistics and multiple logistic regression analysis. The SCA rate significantly decreased from 72.6 % in 2019 to 44.1 % in 2021. In 2019, the rate was high for those over 60 years old but decreased by half by 2021. The ORs for SCA were higher in women than men in all years and were lower in 2019 for all age groups except those in their 70 s; however, in 2021, the ORs for those in their 20 s were higher than those in their 70 s and were slightly higher for non-high-risk drinkers than for high-risk drinkers. ORs were higher among those trying to lose or gain weight than among those who were not. Despite its health benefits, the SCA rate significantly decreased. Issuing public statements encouraging SCA is critical. Measures are necessary to increase the rate of SCA among people in their 70 s and support those seeking to control their weight for successful smoking cessation. In addition, a strategy to maintain the SCA rate in people in their 20 s is required to ensure their future health.

S1382 Impact of Smoking Cessation Attempts on the Outcomes of Non-Alcoholic Fatty Liver Disease: A Large Population-Based Study

S1382 Impact of Smoking Cessation Attempts on the Outcomes of Non-Alcoholic Fatty Liver Disease: A Large Population-Based Study

Tobacco withdrawal-induced changes in sensorimotor filtering as a predictor of smoking lapse in trauma-exposed individuals

Prepulse inhibition (PPI) is a measure of sensorimotor filtering thought to shield the processing of initial weaker auditory stimuli from interruption by a later startle response. Previous studies have shown smoking withdrawal to have a negative impact on sensorimotor filtering, particularly in individuals with psychopathology. Because tobacco use may alleviate sensory and sensorimotor filtering deficits, we examined whether smoking withdrawal-induced changes in PPI were associated with maintenance of smoking abstinence in trauma-exposed individuals with and without PTSD who were attempting to quit smoking. Thirty-eight individuals (n = 24 with current or past PTSD; 14 trauma-exposed healthy controls) made an acute biochemically-verified smoking cessation attempt supported by 8 days of contingency management (CM) and cognitive behavioral therapy (CBT) for smoking. Participants completed a PPI task at the pre-quit baseline, 2 days post-quit, and 5 days post-quit. Post-quit changes in PPI were compared between those who remained abstinent for the first 8-days of the quit attempt and those who lapsed back to smoking. PPI changes induced by biochemically-verified smoking abstinence were associated with maintenance of abstinence across the 8-day CM/CBT-supported quit attempt. As compared to those who maintained tobacco abstinence, participants who lapsed to smoking had significantly lower PPI at 2 and 5 days post-quit relative to baseline. Thus, among trauma-exposed individuals, decreases in PPI during acute smoking cessation supported by CM/CBT are associated with lapse back to smoking. Interventions that improve PPI during early smoking abstinence may facilitate smoking cessation among such individuals who are at high risk for chronic, refractory tobacco use.

Association between anti-smoking campaign types and smoking cessation attempts

ObjectiveThis study explored the association between anti-smoking campaign types and smoking cessation attempts. MethodsThis study included 4,594 individuals (3,292 male and 1,302 female) from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) in 2018 and 2020. The methods of anti-smoking promotion were divided into online, offline, online and offline, and none. Attempts to quit smoking were classified as yes or no. Multiple logistic regression was performed to examine the association between antismoking campaign type and smoking cessation attempts. ResultsThose who saw anti-smoking advertisements both online and offline were found to have tried to quit smoking more than those who did not. (Online & offline: male, odds ratio [OR] 1.36; 95% confidence interval [95% CI], 1.08–1.71; female, OR, 1.75; 95% CI 1.21–2.54) In a subgroup analysis of the independent variables into which smoking cessation advertisements were subdivided, males were found to have the highest OR for smoking cessation attempts when they encountered advertisements in newspapers. (Newspaper: male, OR, 2.25; 95% CI, 1.00–5.02) Females had the highest OR for smoking cessation attempts when accessed via the Internet. (Internet: female, OR, 1.93; 95% CI, 1.07–3.50). ConclusionThis study showed that there is a correlation between smoking cessation advertisements and adolescents' smoking cessation attempts. The possibility of smoking cessation attempts is high when encountering smoking cessation advertisements both online and offline. Although offline smoking cessation advertisements have a great effect on adolescents’ smoking cessation attempts, it can be confirmed that the frequency of exposure for offline advertisements is less than that for online advertisements.

Short-term effects of national smoking cessation service on smoking-related disease prevalence and healthcare costs: Experience from the National Health Insurance Service Smoking Cessation Intervention Program in Korea.

We measured the short-term clinical and economic impacts of the National Health Insurance Service (NHIS) smoking cessation program, which subsidizes the cost of pharmacotherapy and medical consultations, by comparing the changes in prevalence and healthcare costs of smoking-related diseases among cessation service users, non-users, and never smokers. Smokers who used the cessation service from 2015 to 2017 were included (n=779315). We used claims data from the NHIS, a mandatory, single-payer insurance covering the entire Korean population, to determine the number of patients with selected diseases, their healthcare utilization, and medical costs, and compared these amounts in the one year before and after enrollment. For further comparison, we also estimated disease prevalence and medical costs in matched controls by age, sex, income, and residential area, including never smokers and smokers who never used the cessation program. Across all 15 selected diseases, the number of patients, days spent in the hospital, and medical costs for 1 year were consistently higher after service enrollment than before. This pattern was observed for both men and women. Notably, decreased prevalence and medical costs for pneumonia were observed among individuals aged <50 years. Healthcare utilization for any kind of disease for 1 year was 97.7%, 91.1%, and 88.8% among cessation service users, never smokers, and smokers who did not use the cessation service, respectively. The disease-specific prevalence was also highest and increased more in the cessation service users compared with the control groups. Cessation service users were more likely to seek healthcare. Increased healthcare utilization in the first year after cessation service use may have resulted from smoking-related conditions that led individuals to attempt smoking cessation.