Increase Smoking Cessation Research Articles

First things first: measuring French Medical schools’ deans motivation to engage in smoke-free campus

Abstract Smoke-free campuses (SFC) prohibit smoking and vaping on all university grounds and for all users. Around a hundred of papers was published on that topic revealing how they reduce initiation and increase smoking cessation among students. Whereas it is key for the success of all project, including SFC, very rare research has investigated attitude of high-level leaders of universities toward SFC, their perceived barriers and motivation to adopt it. To fill this gap, we interviewed deans of medical schools in France, where SFC are limited. In-depth individual interviews were conducted on 31 deans and two associate-deans (representing 31 out of 35 French medical schools). Questions rose knowledge of SFC, perception of this measure, self-role to play and other factors influencing implementation. We targeted medical schools because they train future prescribers of smoking cessation, and can act as a model for policy dissemination to other schools. The 23 hours of interviews were analyzed using thematic analysis with Nvivo14. Regarding diffusion in 2023, only one medical school had a SFC, six were implementing it, 23 had no SFC and one abandoned it. 28 held positive attitudes towards SFC, explained by its impact on health and the mission of medical schools. Most of them considered SFC feasible with resources and engagement of students. Identified barriers were competing priority, lack of funding and of support from users and risk of stigmatization of smokers. A majority of deans thought they had a role to play in initiating, promoting and moderating the policy. SFC are recommended by the WHO but there is important room for improvement for their diffusion in France. Yet, a majority of deans we interviewed appeared motivated to adopt it. Solutions to encourage them and overcome barriers must be found. Key messages • Diffusion of SFC among medical schools remains limited in France. • Deans’s positive attitude towards SFC bring hope for a better diffusion of SFC among French universities.

The relationship between insecure attachment and nicotine dependence among users of classic cigarettes, e-cigarettes, and heated tobacco products: a moderated mediation model

BackgroundPrevious research has investigated the association between attachment styles and smoking behaviors, indicating a positive association of insecure attachment styles with nicotine dependence. However, these links were mostly explored in adolescent and student samples. Moreover, the explanatory mechanisms and the variables influencing the strength of this relationship remained understudied. In this context, the present study aims to: (1) examine the associations between attachment anxiety, avoidance, and nicotine dependence; (2) investigate the mediating role of emotion dysregulation and metacognitions about smoking; and (3) test the moderating roles of psychological capital and type of tobacco product used by the participants.MethodThis cross-sectional study was conducted on a convenience sample of 447 participants who reported smoking. The age range of participants was 18 to 64 (M = 26.76; 59.7% women). All participants have completed five questionnaires measuring nicotine dependence, adult attachment, emotion dysregulation, metacognitions about smoking, and psychological capital. They also reported the type of tobacco product commonly used: classic cigarettes, e-cigarettes, or heated tobacco products.ResultsOur findings show that the direct link between insecure attachment and nicotine dependence is rather inconsistent. However, it was mediated by the metacognitions about smoking. Psychological capital can act as a protective factor against the effects of attachment on nicotine dependence, especially for those using alternative tobacco products alongside classic cigarettes.ConclusionsThe findings highlight the possibility of developing better-tailored interventions and treatments to discourage smoking and increase smoking cessation. These should focus on eliminating the dysfunctional beliefs related to the metacognitions about smoking and on improving the levels of psychological capital. In addition, targeting attachment insecurities in early adolescence can also function as a mean to prevent smoking.

A randomised trial of real-time video counselling for smoking cessation among rural and remote residents.

Despite its reach, very limited evidence exists on the effectiveness of real-time video counselling for smoking cessation (e.g. via Skype). This study compared the effectiveness of real-time video counselling for smoking cessation to (a) telephone counselling; and (b) a control among rural and remote residents. Between 25 May 2017 and 3 March 2020, a three-arm, parallel group, randomised trial, randomised 1244 rural and remote residents from New South Wales, Australia who smoked tobacco to: video counselling (4-6 video sessions); telephone counselling (4-6 telephone calls); or a control (printed materials). The primary outcome was 7-day point prevalence abstinence at 13 months post-baseline. Secondary outcomes were point prevalence abstinence at 4 months and 7-months post-baseline, prolonged abstinence, quit attempts, anxiety and depression. For the primary outcome of 7-day point prevalence abstinence at 13 months post-baseline, there was no significant difference between video counselling and telephone counselling (14.6% vs 13.3%; (OR = 1.11, 95% CI (0.75-1.64), P = 0.61) or video counselling and control (14.6% vs 13.9%; (OR = 1.06, 95% CI (0.71-1.57), P = 0.77). For secondary outcomes at 4 months post-baseline, the video counselling group had significantly higher odds than the control of 7-day point prevalence abstinence (14.3% vs 8.2%; OR = 1.88, 95% CI (1.20-2.95), P = 0.006) and 3-month prolonged abstinence (4.9% vs 2.2%; OR = 2.28, 95% CI (1.03-5.07), P = 0.04). There were no significant differences for other secondary outcomes. Video counselling increased smoking cessation in the short-term compared to a control although strategies to improve its long-term effectiveness are needed. Australian New Zealand Clinical Trials Registry, https://www.anzctr.org.au ACTRN12617000514303.

Trends and socioeconomic inequalities in the dental attendance of adult smokers in Scotland from 2009 to 2019, a repeated cross-sectional study

BackgroundSmoking continues to be the single largest cause of preventable disease and death and a major contributor to health inequalities. Dental professionals are well placed to offer behavioural support in combination with pharmacotherapy to increase smoking cessation rates across the population. We aimed to assess the trends and socioeconomic inequalities in the dental attendance of adult smokers in Scotland from 2009 to 2019 and examine the potential population reach of dental settings for smoking cessation interventions.MethodsA secondary analysis was conducted of combined Scottish Health Surveys (SHeS) from 2009/11, 2013/15 and 2017/19. ‘Recent’ dental attendance (within the past two years) was the focus and descriptive analysis examined attendance of self-reported smokers compared to non-smokers and stratified by the area-based Scottish Index of Multiple Deprivation (SIMD) and individual socioeconomic measures (income, education, and occupation). Generalised linear models were used to model recent attendance in non-smokers relative to smokers adjusted by the socioeconomic measures, for each of the survey cohorts separately. Absolute differences and risk ratios were calculated with 95% Confidence Intervals (CI).ResultsRecent dental attendance was generally high and increased in both smokers (70–76%) and non-smokers (84–87%) from 2009/11 to 2017/19 and increased across all SIMD groups. After adjustment for sociodemographic variables, the adjusted Risk Difference (aRD) for recent attendance between non-smokers and smokers was 8.9% (95% CI 4.6%, 13.2%) by 2017/19. Within smokers, recent attendance was 7–9% lower in those living in the most deprived areas compared to those living in the least deprived areas over the three surveys.ConclusionsSHeS data from 2009 to 2019 demonstrated that a high and increasing proportion of smokers in the population attend the dentist, albeit slightly less frequently than non-smokers. There were large inequalities in the dental attendance of smokers, to a lesser extent in non-smokers, and these persisted over time. Dental settings provide a good potential opportunity to deliver population-level smoking cessation interventions, but smokers in the most deprived groups and older age groups may be harder to reach. Consideration should be given to ensure that these groups are given appropriate proportionate support to take up preventive interventions.

Smartphone-Based Smoking Cessation Intervention (OKquit) for Oklahoma Tobacco Helpline Users: Protocol for a Randomized Controlled Trial.

Tobacco quitlines provide effective resources (eg, nicotine replacement therapy, smoking cessation counseling, and text and web-based support) for those who want to quit smoking in the United States. However, quitlines reach approximately only 1%-3% of people who smoke each year. Novel, smartphone-based, and low-burden interventions that offer 24/7 access to smoking cessation resources that are tailored to current readiness to quit may increase appeal, reach, and effectiveness of smoking cessation interventions. This study will examine the efficacy of OKquit, a low-burden smartphone-based app for smoking cessation. Approximately 500 people who smoke cigarettes and access the Oklahoma Tobacco Helpline (OTH) will be randomized to receive standard OTH care (SC) or SC plus the novel OKquit smartphone app for smoking cessation (OKquit). All participants will use a smartphone app to complete study surveys (ie, baseline, 27 weekly surveys, brief daily check-ins, and 27-week follow-up). Upon completion of daily check-ins and weekly surveys, participants will receive either trivia type messages (SC) or messages that are tailored to current readiness to quit smoking and currently experienced lapse triggers (OKquit). In addition, those assigned to receive the OKquit app will have access to on-demand smoking cessation content (eg, quit tips, smoking cessation medication tips). It is hypothesized that participants assigned to OKquit will be more likely to achieve biochemically verified 7-day point prevalence abstinence than those assigned to SC at 27 weeks post enrollment. In addition, participants who use more OTH resources (eg, more cessation coaching sessions completed) or more OKquit resources (eg, access more quit tips) will have greater biochemically verified smoking cessation rates. Data collection began in September 2022 and final follow-ups are expected to be completed by May 2025. Data from this randomized controlled trial will determine whether the OKquit smartphone app combined with OTH care will increase smoking cessation rates over standard OTH care alone. If successful, OKquit could provide tailored intervention content at a fraction of the cost of traditional interventions. Furthermore, this type of low-burden intervention may offer a way to reach underserved populations of adults who smoke and want to quit. ClinicalTrials.gov NCT05539209; https://clinicaltrials.gov/study/NCT05539209. DERR1-10.2196/56827.

Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis.

Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors. The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years. The literature search was conducted in 6 electronic databases-PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus-from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep. A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD -0.23, 95% CI -0.33 to -0.13; P<.001). No effects were observed for alcohol use, sedentary behavior, or sleep. A sensitivity analysis was conducted to test the robustness of the pooled results. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework. eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult-oriented research is needed to develop eHealth interventions that can change multiple behaviors. PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418.

Tax increases as an incentive to quit smoking: is thinking about quitting due to a tobacco tax increase associated with post-tax increase smoking cessation?

BackgroundThe cost of tobacco is one of the most reported reasons to quit smoking. The Netherlands increased tobacco taxes twice in the span of nine months: a €1 increase per pack in April 2020, and a €0.12 increase per pack in January 2021. This study examines to what extent people report to think about quitting due to the upcoming tax increase(s), as well as how it relates to their age, income or educational level. Additionally, we examined whether thinking about quitting was associated with quit intention and quit behaviour, and whether these associations were different for the two tax increases.MethodsLongitudinal data from the International Tobacco Control (ITC) Netherlands Surveys, Cohort 2 were used (N = 5919 observations; wave 1 (February – March 2020): n = 2051; wave 2 (September – November 2020): n = 1919; wave 3 (June – July 2021): n = 1949). Generalised Estimating Equation (GEE) regressions were fit to test the associations between thinking about quitting due to the tax increase and post-tax increases in quit intention, serious quit attempts, and quitting smoking (≤ 1 cigarette a month), as well as sociodemographic variables.ResultsCirca half of the people who smoke reported thinking about quitting smoking due to the upcoming tax increase (Wave 1 = 51.3% (n = 1052); Wave 2 = 47.3% (n = 849)). Individuals who reported thinking about quitting smoking due to upcoming tax increase(s) were more likely to have increased their quit intention (aOR: 2.00, p ≤ .001) or have carried out a serious quit attempt (aOR:1.48, p ≤ .001) post-tax increase. More people attempted to quit smoking between wave 2 and 3 (post 2021 increase) than between wave 1 and 2 (post 2020 increase). We did not find an interaction effect between wave and thinking about quitting for quit intention, quit attempts, and quitting smoking.ConclusionsTax increases stimulate people to think about quitting. Thinking about quitting due to an upcoming tax increase was associated with more positive quit intention and serious quit attempts.

Adult Smoking Cessation - United States, 2022.

Tobacco dependence is a chronic condition driven by nicotine addiction. Successful quitting can be increased by health care provider intervention and evidence-based treatment. CDC assessed national estimates of cigarette smoking cessation indicators among U.S. adults using 2022 National Health Interview Survey data. In 2022, approximately two thirds (67.7%) of the 28.8 million U.S. adults who smoked wanted to quit, and approximately one half (53.3%) made a quit attempt, but only 8.8% quit smoking. One half of adults who smoked and saw a health professional during the past year received health professional advice (50.5%) or assistance (49.2%) to quit smoking. Among those who tried to quit, 38.3% used treatment (i.e., counseling or medication). Adults who usually smoked menthol (versus nonmenthol) cigarettes had higher prevalences of quitting interest (72.2% versus 65.4%; p<0.05) and past-year quit attempts (57.3% versus 50.4%; p<0.05), lower prevalences of receiving quit advice (48.2% versus 53.8%; p<0.05) and using cessation treatment (35.2% versus 41.5%; p<0.05), but similar prevalence of quit success (9.5% versus 7.9%; p = 0.19). Opportunities exist for both public health and health care sectors to increase smoking cessation, including expanding access to and utilization of cessation services and supports. Incorporating equitable cessation strategies into all commercial tobacco prevention and control efforts can help advance and support smoking cessation for all population groups.

Examining differences in real-world effectiveness of e-cigarettes for smoking cessation by source of purchase in England: an observational study of different contexts before and after the COVID-19 pandemic.

The effectiveness of e-cigarettes for smoking cessation may differ by source of purchase. The changing influence of self-selection on purchase location caused by COVID-19 pandemic-related vape shop closures means we can examine the association between smoking abstinence e-cigarette use by purchase source and test for moderation of this association by the timing of the pandemic. Repeat-cross-sectional nationally representative surveys, conducted between January-2017 and August-2023. Participants (N=1,284; ≥18y, 46.9% women) who made a past-year quit attempt, used an e-cigarette in their most recent attempt, currently vaping and provided data on the purchase source were included. The association between e-cigarette purchase source and continuous abstinence following the most recent quit attempt was assessed with adjusted regression, including an interaction between the timing of pandemic restrictions (March-2020 through January-2022). Overall, 48.1% usually purchasing their e-cigarettes from vape shops, declining from 53.6% pre-pandemic to 40.6% during the pandemic. There was inconclusive evidence that those purchasing from vape shops had greater odds of quitting smoking (ORadj=1.25, 95%CI 0.92-1.76). The association between purchase source and successful quitting did not depend upon whether purchasing occurred before or during the pandemic (F=0.08, pinteraction=0.774; pre-pandemic: ORadj=1.23, 0.79-1.91; and pandemic: ORadj=1.29, 0.81-2.06). More data are needed to conclusively determine whether purchasing from a specialist vape shop increases smoking cessation. Given the changing influence of self-selection on purchase location caused by the pandemic, the similar associations between purchase source and quit success across both periods suggests it is unlikely an artefact of unmeasured confounding. It is important to know if where e-cigarettes are purchased can increase their effectiveness for smoking cessation. While we found a positive association between purchasing from a specialist vape shop and abstinence rates, the results were inconclusive. Further studies are required to establish whether purchasing from specialist vape shops improves smoking cessation outcomes compared with other purchase sources.

Effectiveness of smoking cessation interventions among adults: an overview of systematic reviews

BackgroundThis overview of reviews aims to identify evidence on the benefits (i.e. tobacco use abstinence and reduction in smoking frequency) and harms (i.e. possible adverse events/outcomes) of smoking cessation interventions among adults aged 18 years and older.MethodsWe searched Medline, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Database of s of Reviews of Effects, the CADTH Health Technology Assessment Database and several other websites for grey literature. Searches were conducted on November 12, 2018, updated on September 24, 2020, with publication years 2008 to 2020. Two reviewers independently performed title-abstract and full-text screening considering pre-determined inclusion criteria. Data extraction and quality assessments were initially completed by two reviewers independently (i.e. 73% of included studies (n = 22)) using A Measurement Tool to Assess Systematic Reviews-2 (AMSTAR 2), and the remainder done by one reviewer and verified by another due to resources and feasibility. The application of Grading of Recommendations Assessment, Development and Evaluation (GRADE) was performed by one independent reviewer and verified by another.ResultsA total of 22 Cochrane systematic reviews evaluating the impact of smoking cessation interventions on outcomes such as tobacco use abstinence, reduction in smoking frequency, quality of life and possible adverse events were included. Pharmaceutical (i.e. varenicline, cytisine, nicotine replacement therapy (NRT), bupropion) and behavioural interventions (i.e. physician advice, non-tailored print-based self-help materials, stage-based individual counselling, etc.) showed to have increased smoking cessation; whereas, data for mobile phone-based interventions including text messaging, hypnotherapy, acupuncture, continuous auricular stimulation, laser therapy, electrostimulation, acupressure, St John’s wort, S-adenosyl-L-methionine (SAMe), interactive voice response systems and other combination treatments were unclear. Considering harms related to smoking cessation interventions, small/mild harms (i.e. increased palpitations, chest pain, nausea, insomnia, headache) were observed following NRT, varenicline and cytisine use. There were no data on harms related to behavioural therapies (i.e. individual or group counselling self-help materials, internet interventions), combination therapies or other therapies (i.e. laser therapy, electrostimulation, acupressure, St John’s wort, SAMe).ConclusionResults suggest that pharmacological and behavioural interventions may help the general smoking population quit smoking with observed small/mild harms following NRT or varenicline. Consequently, evidence regarding ideal intervention strategies and the long-term impact of these interventions for preventing smoking was unclear.Systematic review registrationPROSPERO CRD42018099691

The role of positive emotion in harmful health behavior: Implications for theory and public health campaigns

Meta-analyses have concluded that positive emotions do not reduce appetitive risk behaviors (risky behaviors that fulfill appetitive or craving states, such as smoking and excessive alcohol use). We propose that this conclusion is premature. Drawing on the Appraisal Tendency Framework and related theories of emotion and decision-making, we hypothesized that gratitude (a positive emotion) can decrease cigarette smoking, a leading cause of premature death globally. A series of multimethod studies provided evidence supporting our hypothesis (collective N = 34,222). Using nationally representative US samples and an international sample drawn from 87 countries, Studies 1 and 2 revealed that gratitude was inversely associated with likelihood of smoking, even after accounting for numerous covariates. Other positive emotions (e.g., compassion) lacked such consistent associations, as expected. Study 3, and its replication, provided further support for emotion specificity: Experimental induction of gratitude, unlike compassion or sadness, reduced cigarette craving compared to a neutral state. Study 4, and its replication, showed that inducing gratitude causally increased smoking cessation behavior, as evidenced by enrollment in a web-based cessation intervention. Self-reported gratitude mediated the effects in both experimental studies. Finally, Study 5 found that current antismoking messaging campaigns by the US Centers for Disease Control and Prevention primarily evoked sadness and compassion, but seldom gratitude. Together, our studies advance understanding of positive emotion effects on appetitive risk behaviors; they also offer practical implications for the design of public health campaigns.

Effectiveness and feasibility of the self-administered and repeated episodic future thinking exercises in smoking cessation.

Delay discounting (DD) is associated with smoking behavior and relapses. Episodic future thinking (EFT) is one of the leading interventions shown to reduce DD. The 1-month follow-up study with 60 participants that employed EFT as active intervention and episodic recent thinking (ERT) as control intervention was conducted in participants receiving smoking cessation treatment. In EFT group, there was significant decrease in DD rates from pre-intervention to post-intervention (p = 0.009), whereas no significant change was observed in ERT group (p = 0.497). DD rates in EFT group did not change significantly over 1 month (p = 0.059), while decrease was detected in ERT group (p = 0.011). Smoking cessation rates between groups were similar (p = 0.486). Adherence with completing follow-up evaluation forms and performing relevant exercises was higher in EFT group (p = 0.038, p = 0.006). Adding EFT to usual smoking cessation treatment did not increase smoking cessation rates, however feasibility of the self-administered exercises needs to be improved to clarify clinical effects.

A geospatial analysis of neighborhood hot spots and socioeconomic disparities associated with high lung cancer incidence for targeted intervention in south Florida.

e22525 Background: This study aims to identify the locations as well as specific socioeconomic disparities associated with high lung cancer incidences in South Florida (SF). The information is used to develop strategies for increasing smoking cessation and lung cancer screening rates in underserved communities via community outreach and engagement (COE). Methods: Sylvester Comprehensive Cancer Center’s catchment area in SF was studied and consists of three urbanized counties (Miami-Dade, Broward, and Palm Beach) as well as one rural county (Monroe), with a total population of 6 million. Age-adjusted incidence of lung cancer was calculated (2010-2019 Florida cancer registry data) for every census tract in the study area. Geospatial hot spot analysis was then applied to identify statistically significant clusters of census tracts with high age-adjusted lung cancer incidences. Socioeconomic data (American Community Survey) and smoking rates (CDC Places data) associated with the hot spot census tracts were then analyzed for risk factor identification and potential barriers to screening. Results: Hot spots census tracts for lung cancer in SF are generally associated with lower socioeconomic status, including lower income, higher percent of people living in poverty, more households with no vehicles, lower education levels, and higher percent of active smokers. Such socioeconomic disparities are most pronounced in the two highly populated counties of Miami-Dade and Broward. Palm Beach County’s hot spots include retirement communities, while those in the rural county of Monroe have the highest smoking rates. Conclusions: Using this analysis, our COE team began targeting hot spot communities for intervention with a specific focus on those where smoking rates are high, and no lung cancer screening facilities exist. The results demonstrate the utilities of geospatial data analysis for identifying locations and population segments for which increased cancer prevention efforts are needed. Targeting neighborhoods with the identified disparities for increased intervention in smoking cessation and lung cancer screening can help a COE team reach at-risk populations with limited resources more effectively. [Table: see text]

Improving delivery of smoking cessation assistance for patients with cancer: Results of the Beyond ASK quality improvement.

11011 Background: Smoking by cancer patients and survivors causes adverse health outcomes, and quitting smoking after a cancer diagnosis can improve survival. However, assistance with smoking cessation is not regularly provided to cancer patients. Reported are results of the national 2023 Beyond ASK quality improvement initiative to increase and sustain delivery of smoking cessation assistance across participating sites. Methods: In 2023, American College of Surgeons Commission on Cancer (CoC) accredited sites were invited to participate in the Beyond ASK quality improvement initiative to increase evidence-based smoking cessation assistance delivery to cancer patients who report current smoking. Participating sites were required to monitor and periodically report on provider performance (e.g., assist rate = number of patients assisted with smoking cessation / number of patients who smoke), resource utilization, barriers, and facilitators. Educational resources, webinars, toolkits, and online data collection were facilitated by CoC. Results: Among 306 participating programs who completed the Beyond ASK initiative (94% of baseline programs), high rates of asking patients about and documenting smoking status were maintained at 88-92% from the baseline to final survey. During the 12-month project period, overall rates of assisting with smoking cessation increased from 53% to 67%. Referral to state quitlines increased from 31% to 49%, and referral to ‘in house’ smoking cessation programs increased from 15% to 28%. Rates of providing brief in office counseling more than tripled from 20% at baseline to 66% at final. The most frequently reported components that contributed to programs’ success were educational webinars (30.6%), structured data collection (28.2%), and smoking cessation toolkit (21.2%). The leading logistical barriers were extracting clinical data from the EHR and making changes to the clinical workflow, reported by 36.5% and 28.2% of respondents, respectively. Overall, 95.3% of respondents “agreed” or “strongly agreed” that identifying patients who smoke and assisting patients with cessation was sustainable. Conclusions: Increasing smoking cessation assistance through a national accreditation organization is feasible with substantial improvements in assisting patients. Results support delivery of smoking cessation as an achievable national quality component of cancer care.

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

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

Financial incentive interventions for smoking cessation among Chinese smokers: study protocol for a cluster randomised controlled trial

IntroductionThere is an urgent issue to relieve the burdens caused by tobacco use through feasible and effective smoking cessation interventions, particularly in a middle-income country with less accessible smoking cessation...

Reducing tobacco use in substance use treatment: The California tobacco free initiative

BackgroundPeople in substance use disorder (SUD) treatment have a smoking prevalence that is five times higher than the national average. California funded the Tobacco Free for Recovery Initiative, designed to support programs in implementing tobacco-free grounds and increasing smoking cessation services. In the first cohort of the initiative (2018–2020) client smoking prevalence decreased from 54.2% to 26.6%. The current study examined whether similar findings would be replicated with a later cohort of programs (2020–2022). MethodCross-sectional survey data were collected from clients in 11 residential SUD treatment programs at baseline (n = 185) and at post intervention (n = 227). Multivariate logistic regression assessed change over time in smoking prevalence, tobacco use behaviors, and receipt of cessation services across the two timepoints. ResultsClient smoking prevalence decreased from 60.3 % to 40.5 % (Adjusted Odds Ratio [AOR] = 0.46, 95 % CI = 0.27, 0.78; p = 0.004). Current smokers and those who quit while in treatment reported an increase in nicotine replacement therapy (NRT)/pharmacotherapy from baseline to post intervention (31.9 % vs 45.6 %; AOR = 2.22, 95 % CI = 1.08, 4.58; p = 0.031). ConclusionsLike the first cohort, the Tobacco Free for Recovery initiative was associated with decreased client smoking prevalence and an increase in NRT/pharmacotherapy. These findings strengthen the evidence that similar initiatives may be effective in reducing smoking prevalence among people in SUD treatment.

Selecting an e-cigarette for use in smoking cessation interventions and healthcare services: findings from patient and public consultation for the COSTED trial

ObjectivesThe Cessation of Smoking Trial in the Emergency Department (COSTED) trial aims to ascertain whether brief advice, the provision of an e-cigarette starter kit and referral to stop smoking services...

Frequency of cigarette smoking and its associated factors among men in East Africa: a pooled prevalence analysis of national survey using multinomial regression

BackgroundDespite the harmful effects of smoking, there have been few studies to pinpoint the factors of this habit, and little is known about it in the East African region. For this reason, this study sought to determine the frequency and factors of cigarette smoking among men in the region.MethodsData from recent demographic and health surveys carried out in ten East African countries between 2015 and 2022 were analyzed in this study. Data from 87,022 men was collected. The key factors affecting the smoking rates in the area were investigated using binary and multiple multinomial logistic regression. To ascertain if variables were statistically significant in the final model for binary regression and multiple regression, P values of ≤ 0.2 and < 0.05 were used respectively.ResultsOverall, about 14.69% of people currently smoke cigarettes. Of this about 11.03 (95% CI = 10.82, 11.24) was for daily active tobacco use. As compared to < 26-year-old men, men with an age range of 26–35 years (RRR = 2.17, 95% CI: 2.01,2.34), 36–45 years (RRR = 2.82, 95% CI: 2.60, 3.07), and > 45 years old (RRR = 3.68, 95% CI: 3.38, 4.02), were using cigarettes daily rather than no-smoking cigarettes. Men who had begun their first sexual intercourse at the age of 7–19 years (RRR = 6.27,95% CI, 5.35,7.35), 20–25 years (RRR = 4.01, 95% CI, 3.40,4.72), and greater than 25 years old (RRR = 3.08, 95% CI, 2.55,3.71) have shown a higher relative risk ratio to smoke cigarette daily rather than using not smoke cigarette respectively, married (RRR = 0.86, 95% CI, 0.79,0.93), divorced or widowed (RRR = 2.51, 95% CI, 2.27,2.77), middle wealth index (RRR = 2.11, 95% CI 1.98,2.24), and rich (RRR = 1.44, 95% CI, 1.34,1.54), secondary/higher education (RRR = 0.72, 05% CI, 0.66,0.77), rural men (RRR = 0.69, 95% CI, 0.65,0.73), employed men (RRR = 1.26,95% CI, 1.17,1.36), mass media exposure (RRR = 0.76, 95% CI, 0.73,0.81), men who have one sex partner (RRR = 1.23,95% CI,1.13,1.35), and more than one sex partner (RRR = 1.63, 95% CI, 1.47,1.79) more times as compared to those participants who had no sex partner respectively.ConclusionsMen in East African nations were substantially more likely to smoke cigarettes if they were older, had less education, had a higher wealth index, were divorced or widowed, had many sexual relationships, had early sexual activity, resided in an urban area, were employed, or had no media exposure. The identified factors should be considered by policymakers and public health professionals to lower smoking initiation and increase smoking cessation among men.