Journal of Smoking Cessation最新文献

Introduction: It is critical to accurately identify individuals who continue to smoke even after treatment, as this may prompt the use of more intensive and effective treatment strategies to help them attain complete abstinence.

Aims: This study examined optimal cutoffs for exhaled carbon monoxide (CO) and salivary cotinine to identify smokers among Korean Americans in a smoking cessation clinical trial.

Methods: CO and cotinine were measured three to four times over 12 months from the quit day. Statistical analysis was conducted using Receiver Operating Characteristic (ROC) curves.

Results: A CO cutoff of 5 parts per million provided robust sensitivity (80.8-98.3%) and perfect specificity (100%), and a salivary cotinine cutoff of level 2 (30-100 ng/ml) provided the best sensitivity (91.2-95.6%) and perfect specificity (100%). Using these cutoffs, the agreement between self-reports and the two biomarkers ranged from 88.6% to 97.7%. The areas under ROC curves (AUCs) of exhaled CO ranged from 0.90 to 0.99, all of which were significant (all p values < 0.001), and the AUCs of salivary cotinine ranged from 0.96 to 0.98 (all p values < 0.001).

Conclusion: Exhaled CO and salivary cotinine are complementary, and they should be used together to verify smoking abstinence for smokers in a clinical trial.

Tobacco smoking has a significant role in health deterioration worldwide; it can lead to many dangerous diseases. Tobacco smoking among medical students is common worldwide, but the prevalence and determinants vary from one community to another. Data from medical students in Saudi Arabia is limited. This study was conducted to estimate the prevalence and determinants of smoking among medical students at the College of Medicine, Jazan University, Saudi Arabia. A cross-sectional study using a self-administered electronic survey was conducted to estimate tobacco smoking's prevalence and characteristics among medical students at Jazan University. The survey includes information on the gender, academic year, academic performance, type of tobacco smoking, and age of onset of the participants' tobacco smoking. Other data, like the prevalence of passive smoking and social factors, were considered, too. The sample size was 354, 51.7% males and 48.3% females, students with a response rate of 38.02%. The prevalence of smoking among medical students was 12.4%, while passive smoking prevalence was 39.9% of all medical students. The research shows that 18.6% of male and 5.9% of female medical students were active smokers. Regarding the type of tobacco, we found that 47% of male smokers used waterpipe, while the percentage among female smokers using waterpipe reached 77.8%. The age of onset of smoking for 34.9% of the smokers was between 18 and 21 years old. The prevalence of smoking is inversely proportional to the GPA. Additionally, 71.1% of the smokers did not have a smoker friend, and only 13.3% of the smokers were motivated to quit. University age is critical for smoking habits, and the smoking cessation rate was low. More campaigns should be done in universities to increase smoking cessation awareness, and smoking cessation clinics should be activated at universities.

Globally, India is the second largest consumer of tobacco. However, Indian medical students do not receive adequate training in smoking cessation counseling. Each patient hospitalization is an opportunity to counsel smokers. Medical Student Counseling for Hospitalized patients Addicted to Tobacco (MS-CHAT) is a 2-arm multicenter randomized controlled trial (RCT) that compares the effectiveness of a medical student-guided smoking cessation program initiated in inpatients and continued for two months after discharge versus standard hospital practice. Current smokers admitted to the hospital are randomized to receive either usual care or the intervention. The intervention group receives inpatient counseling and longitudinal postdischarge telephone follow-up by medical students. The control group receives counseling at the discretion of the treating physician. The primary outcome is biochemically verified 7-day point prevalence of smoking cessation at 6 months after enrollment. Changes in medical student knowledge and attitude will also be studied using a pre- and postquestionnaire delivered prior to and 12 months after training. This trial tests a unique model that seeks to provide hands-on experience in smoking cessation counseling to medical students while simultaneously improving cessation outcomes among hospitalized smokers in India.

Introduction: Smoking cessation after a cancer diagnosis can significantly improve treatment outcomes and reduce the risk of cancer recurrence and all-cause mortality.

Aim: We sought to measure the association between cancer diagnosis and subsequent smoking cessation.

Methods: Data was sourced from the Population Assessment of Health and Tobacco (PATH) study, a representative population-based sample of United States adults. Our analytic sample included all adult smokers at Wave I, our baseline. The exposure of interest was either a tobacco-related cancer diagnosis, nontobacco-related cancer diagnosis, or no cancer diagnosis (the referent) reported at Wave II or III. The primary outcome was smoking cessation after diagnosis, at Wave IV. Results/Findings. Our sample was composed of 7,286 adult smokers at the baseline representing an estimated 40.9 million persons. Smoking cessation rates after a diagnosis differed after a tobacco-related cancer (25.9%), a nontobacco-related cancer (8.9%), and no cancer diagnosis (17.9%). After adjustment, diagnosis with a tobacco-related cancer was associated with a higher odds of smoking cessation (OR 1.83, 95% CI 1.00-3.33) compared to no cancer diagnosis. Diagnosis with a nontobacco-related cancer was not significantly linked to smoking cessation (OR 0.52, 95% CI 0.48-1.45).

Conclusion: Diagnosis with a tobacco-related cancer is associated with greater odds of subsequent smoking cessation compared to no cancer diagnosis, suggesting that significant behavioral change may occur in this setting.

Introduction: Activities promoting research reproducibility and transparency are crucial for generating trustworthy evidence. Evaluation of smoking interventions is one area where vested interests may motivate reduced reproducibility and transparency.

Aims: Assess markers of transparency and reproducibility in smoking behaviour change intervention evaluation reports.

Methods: One hundred evaluation reports of smoking behaviour change intervention randomised controlled trials published in 2018-2019 were identified. Reproducibility markers of pre-registration; protocol sharing; data, material, and analysis script sharing; replication of a previous study; and open access publication were coded in identified reports. Transparency markers of funding and conflict of interest declarations were also coded. Coding was performed by two researchers, with inter-rater reliability calculated using Krippendorff's alpha.

Results: Seventy-one percent of reports were open access, and 73% were pre-registered. However, there are only 13% provided accessible materials, 7% accessible data, and 1% accessible analysis scripts. No reports were replication studies. Ninety-four percent of reports provided a funding source statement, and eighty-eight percent of reports provided a conflict of interest statement.

Conclusions: Open data, materials, analysis, and replications are rare in smoking behaviour change interventions, whereas funding source and conflict of interest declarations are common. Future smoking research should be more reproducible to enable knowledge accumulation. This study was pre-registered: https://osf.io/yqj5p.

Introduction: Aboriginal pregnant women who smoke experience barriers to quitting, including challenges to social and emotional well-being, but these are infrequently quantified. Finding an appropriate measurement tool in this setting is crucial to increase knowledge for holistic smoking cessation interventions.

Aims: To pilot the Growth and Empowerment Measure (GEM) with a sample of pregnant Aboriginal women who smoke.

Methods: Aboriginal women participating in the step-wedge ICAN QUIT in Pregnancy pilot study completed the GEM comprised of 14-item Emotional Empowerment Scale (EES14), 12 Scenarios (12S), and K6 items at baseline, 4 weeks, and 12 weeks. Qualitative interviews with service staff were held at the end of the study to assess feasibility.

Results: 15 pregnant Aboriginal women took part between November 2016 and July 2017. At 12 weeks, n = 8/12 (67%) of women reported an increase in both the EES14 and 12S scores. Total 12S scores were significantly higher at 12 weeks (p = 0.0186). Total K6 had a nonsignificant trend for reduction (p = 0.0547). Staff reported that the length of the survey presents challenges in this setting.

Conclusions: A shortened, modified GEM is recommended in this setting. We recommend the GEM to be tested in a larger study, powered to assess its associations with smoking behaviours.

Introduction: The 5As model is a standard component of most guidelines for tobacco treatment. Unfortunately, provider adherence to this model is modest.

Aims: Providing physicians with adjunctive tools to adhere to 5As guidelines may serve as a catalyst for brief advice delivery.

Methods: This was a secondary data analysis of a cluster randomized clinical trial assessing the uptake and impact of free nicotine replacement therapy (NRT) sampling versus standard care in primary care. Patients reported receipt of separate elements of the 5As model, assessed one month following a baseline visit. Analyses compared patients who recalled receipt of brief advice among those who received NRT vs. standard care. Additional analyses examined demographic predictors of receiving brief advice.

Results/findings: Medication sampling did not improve compliance with ask, advise, or assess. Receipt of "assistance" was significantly higher among NRT recipients (70%) (p ≤ 0.0001). The NRT sampling group was more likely to have received all components (p = 0.004). As age increased, being asked (p = 0.006), advised (p = 0.05), and assessed (p = 0.003) decreased. Non-Whites reported higher rates of assessment (p = 0.02).

Conclusions: Provision of NRT sampling increased provider compliance with some elements of the brief advice model, thus enhancing the impact of cessation advice within primary care.

Trial registration: This trial is registered with ClinicalTrials.gov NCT02096029.

Introduction: Smoking prevalence is disproportionately high among Asian American immigrant men with limited English proficiency. Understanding the role of family support may provide insights on culturally acceptable strategies to promote smoking cessation.

Aims: This study examined how family support was associated with readiness to consider smoking cessation among Chinese and Vietnamese American male daily smokers.

Methods: We analyzed baseline data (N=340) from a cluster randomized trial of a family-based healthy lifestyle intervention. We assessed the frequency of receiving family support in various forms (encouraging use of cessation resources; praising efforts; checking-in; reminding of familial role). Multiple regression analysis was used to determine associations between family support areas and readiness to consider smoking cessation, controlling for covariates.

Results/findings: Reporting a higher frequency of receiving praise and encouragement for one's efforts to quit was positively associated with readiness to consider cessation. Other areas of family support were not significant.

Conclusions: These findings provide evidence to explore specific areas of family support in enhancing Asian American smokers' readiness to consider cessation. As there is high interest from Asian American family members to support their smokers for quitting, culturally specific and acceptable strategies are needed to promote smoking cessation among Asian Americans.

Background: Persons with HIV (PWH) smoke cigarettes at much higher rates than the general population in the US, and smoking is now the leading cause of death in US PWH. Efforts to control the tobacco use epidemic in PWH have met with limited success, and the factors associated with successful cessation are not well delineated. There is a particular dearth of knowledge regarding PWH ex-smokers who have successfully quit smoking cigarettes for the long term.

Methods: We pooled data from three separate sources of PWH smokers and ex-smokers (reporting complete abstinence for ≥ one year with biochemical verification at the time of data collection) from New York City, collected sociodemographic and behavioral information from them in structured interviews, and obtained their DNA samples. Univariate and rigorous multivariate analytic strategies were employed to determine the sociobehavioral and genetic factors that distinguished PWH smokers from ex-smokers.

Results: We compared 142 current/recent smokers to 52 biochemically confirmed ex-smokers. The mean age of the participants was 53.3 ± 9.9 years, 49.5% were female, and 76.3% were Black/African American. Successful quitters had significantly lower anxiety scores and were less likely to report hazardous alcohol use or to use marijuana or cocaine. On multivariate analysis utilizing a conservative analytic approach, of 156 single nucleotide variants (SNV) within 12 a priori candidate genes, only the 37148248 T->C variant of gene SLC25A21 on chromosome 14 was associated with long-term cessation.

Conclusions: In this study, we report behavioral variables associated with long-term abstinence in PWH ex-smokers, and we also report the first genetic correlation of successful cessation in a PWH population yet described.

Introduction: Most tobacco treatment efforts target healthcare settings, since about 75% of smokers in the United States visit a primary care provider annually. Yet, 25% of patients may be missed by such targeting.

Aims: To describe patients who smoke but infrequently visit primary care -- their characteristics, rates of successful telephone contact, and acceptance of tobacco treatment.

Methods: Tobacco Cessation Outreach Specialists (TCOS) "cold-called" those without a primary care visit in the past year, offering tobacco dependence treatment. Age, sex, insurance status, race, ethnicity, EHR patient-portal status and outreach outcomes were reported.

Results: Of 3,407 patients identified as smokers in a health system registry, 565 (16.6%) had not seen any primary care provider in the past year. Among 271 of those called, 143 (53%) were successfully reached and 33 (23%) set a quit date. Those without visits tended to be younger, male, some-day versus every-day smokers (42 vs. 44 yrs., p = 0.004; 48% vs. 40% female, p=0.0002, and 21% vs. 27% some-day, p=0.003), and less active on the EHR patient portal (33% vs. 40%, p =0.001).

Conclusions: A substantial proportion of patients who smoke are missed by traditional tobacco treatment interventions that require a primary care visit, yet many are receptive to quit smoking treatment offers.