scholarly journals Difficulties Quitting for Smokers with and without a Respiratory Disease and Use of a Tailored Intervention for Smoking Cessation – A Qualitative Study

2017 ◽  
Vol 13 (2) ◽  
pp. 63-71 ◽  
Author(s):  
Camille Alexis-Garsee ◽  
Hazel Gilbert ◽  
Martha Burton ◽  
Olga van den Akker
Keyword(s):  
Smoking Cessation ◽  
Respiratory Diseases ◽  
Tailored Intervention ◽  
Structured Interviews ◽  
Quit Attempts ◽  
Quitting Smoking ◽  
Impaired Lung Function ◽  
Personal Approach ◽  
Tailored Approach

Introduction: Smokers with respiratory diseases are less likely to quit than those without impaired lung function, yet few studies have investigated the effectiveness of smoking cessation interventions with this population, and none have used a computer-tailored approach.Aims: This paper aims to fill this gap in the literature by exploring smokers’ experiences when trying to quit and their perceptions of a computer-tailored intervention.Methods: Semi-structured interviews were conducted with 26 smokers recruited from six general practises in North London. Thematic analysis was conducted to examine participants’ previous experiences of quitting and their perceptions of receiving personal tailored feedback reports to aid smoking cessation.Results: Participants discussed how their positive smoking experiences coupled with their negative cessation experiences led to conflicts with quitting smoking. Although the computer-tailored intervention was key in prompting quit attempts and participants valued its personal approach; it was not sufficient as a stand-alone intervention.Conclusions: The results highlight the difficulties that smokers experience when quitting and the need for a more personalised stop smoking service in smokers with respiratory diseases. The study also demonstrates the application and potential for computer-tailored intervention as part of a wider programme of long-term smoking cessation.

Facebook Chat Application to Prompt and Assist Smoking Cessation Among Spanish-Speaking Young Adults in South Texas

2021 ◽  
pp. 152483992110262
Author(s):  
Patricia Chalela ◽  
Alfred L. McAlister ◽  
David Akopian ◽  
Edgar Munoz ◽  
Cliff Despres ◽  
...  
Keyword(s):  
Social Media ◽  
Smoking Cessation ◽  
Young Adults ◽  
South Texas ◽  
Spanish Speaking ◽  
Quit Attempt ◽  
Quit Attempts ◽  
Facebook Advertising

Given how smart phones, internet services, and social media have shown great potential for assisting smoking cessation, we constructed a Facebook chat application based on our previous work with SMS texting services. This report summarizes findings from 2,364 Spanish-speaking young adults recruited through Facebook advertising in South Texas during the 2020 New Year holiday season. Among these service users, 926 (39%) were ready to make a quit attempt, and 26 (3.1%) of those users reported that they were tobacco free 1 month later. There were no responses to a chat question survey 72 days after the dates selected for quitting. Although more research with longer follow up is needed, these findings show that social media chat applications may be helpful for at least prompting quit attempts and short-term cessation among young adult Spanish-speaking smokers. There is no evidence of an impact on long-term cessation, and more research is clearly needed.

Balancing Consideration of the Risks and Benefits of E-Cigarettes

2021 ◽  
pp. e1-e12
Author(s):  
David J. K. Balfour ◽  
Neal L. Benowitz ◽  
Suzanne M. Colby ◽  
Dorothy K. Hatsukami ◽  
Harry A. Lando ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Media Coverage ◽  
Attributable Mortality ◽  
Cigarette Use ◽  
The Public ◽  
Health Community ◽  
Smoking Policies ◽  
Quit Attempts ◽  
Quitting Smoking ◽  
Potential Benefits

The topic of e-cigarettes is controversial. Opponents focus on e-cigarettes’ risks for young people, while supporters emphasize the potential for e-cigarettes to assist smokers in quitting smoking. Most US health organizations, media coverage, and policymakers have focused primarily on risks to youths. Because of their messaging, much of the public—including most smokers—now consider e-cigarette use as dangerous as or more dangerous than smoking. By contrast, the National Academies of Science, Engineering, and Medicine concluded that e-cigarette use is likely far less hazardous than smoking. Policies intended to reduce adolescent vaping may also reduce adult smokers’ use of e-cigarettes in quit attempts. Because evidence indicates that e-cigarette use can increase the odds of quitting smoking, many scientists, including this essay’s authors, encourage the health community, media, and policymakers to more carefully weigh vaping’s potential to reduce adult smoking-attributable mortality. We review the health risks of e-cigarette use, the likelihood that vaping increases smoking cessation, concerns about youth vaping, and the need to balance valid concerns about risks to youths with the potential benefits of increasing adult smoking cessation. (Am J Public Health. Published online ahead of print August 19, 2021: e1–e12. https://doi.org/10.2105/AJPH.2021.306416 )

Lung function and respiratory symptoms in a randomized smoking cessation trial of electronic cigarettes

2016 ◽  
Vol 130 (21) ◽  
pp. 1929-1937 ◽  
Author(s):  
Fabio Cibella ◽  
Davide Campagna ◽  
Pasquale Caponnetto ◽  
Maria Domenica Amaradio ◽  
Massimo Caruso ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Lung Function ◽  
Respiratory Symptoms ◽  
Electronic Cigarettes ◽  
Controlled Trial ◽  
Substantial Reduction ◽  
Cigarette Consumption ◽  
Phenotype Classification ◽  
Quitting Smoking

Quitting smoking is the most important step smokers can take to improve their health. Nonetheless, there is little information on long-term improvements in lung function and/or respiratory symptoms after smoking cessation. Here we illustrate long-term changes in spirometric indices as well as in respiratory symptoms in smokers invited to quit or reduce their cigarette consumption by switching to electronic cigarettes (ECs). Prospective evaluation of cigarette consumption, spirometry and symptoms was performed in a 1-year randomized controlled trial of smokers receiving EC containing 2.4%, 1.8% or 0% nicotine. Spirometric data are presented on the basis of participants’ pooled continuous smoking phenotype classification (Quitters, Reducers, Failures), whereas respiratory symptoms on the basis of their point prevalence-smoking phenotype. Smoking phenotype classification (Quitters, Reducers, Failures) had no significant effect on spirometric indices (FEV1, FVC and FEV1/FVC) with the exception of FEF25–75%, which significantly (P  =0.034) increased over the time among Quitters; their FEF25–75% (% predicted) improving from (means±S.D.) 85.7±15.6% at baseline (BL) to 100.8±14.6%. High prevalence of cough/phlegm (43.1%) and shortness of breath (SoB; 34.8%) was reported at BL with substantial reduction in their frequency at subsequent follow-up visits. These symptoms virtually disappeared very quickly in both quitters and reducers. Smokers invited to switch to ECs who completely abstained from smoking showed steady progressive improvements in their FEF25–75%. Normalization of peripheral airways function was associated with improvement in respiratory symptoms, adding to the notion that abstaining from smoking can reverse tobacco harm in the lung.

scholarly journals Smoke cessation in cardiovascular pathology from the perspective of evidence-based medicine

2019 ◽  
pp. 86-91
Author(s):  
O. A. Sukhovskaya ◽  
N. V. Kulikov
Keyword(s):  
Smoking Cessation ◽  
Cardiovascular Diseases ◽  
Efficacy And Safety ◽  
Behavioral Support ◽  
Cardiovascular Pathology ◽  
Positive Effects ◽  
Quitting Smoking ◽  
Based Medicine ◽  
Smoke Cessation

The effectiveness of smoking cessation methods has been studied in various studies. However, little is known about the peculiarities of treatment of nicotine dependence in patients with cardiovascular diseases. In the presented review, according to the literature, the prevalence and characteristics of smoking, the duration of abstinence from smoking in patients with cardiovascular diseases with different methods of quitting tobacco use are described.It is shown that smoking cessation not only shows long-term positive effects, but almost immediately the supply of cells with oxygen increases, platelet aggregation, fibrinogen synthesis decreases. Carrying out treatment for nicotine addiction, especially when combined with behavioral support, significantly increases the effectiveness of quitting smoking. With the cardiovascular pathology, the efficacy and safety of varenicline has been proven.

Smoking cessation, weight gain and risk of cardiovascular disease

Heart ◽  
2021 ◽  
pp. heartjnl-2021-318972
Author(s):  
Xiaowen Wang ◽  
Jia-Yi Dong ◽  
Renzhe Cui ◽  
Isao Muraki ◽  
Kokoro Shirai ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Smoking Cessation ◽  
Weight Gain ◽  
Smoking Status ◽  
Cox Proportional Hazard ◽  
Quitting Smoking ◽  
Cox Proportional Hazard Models ◽  
Never Smokers

ObjectiveTo examine whether the relationship between smoking cessation and risk of cardiovascular disease (CVD) was modified by weight gain.MethodsA total of 69 910 participants (29 650 men and 46 260 women) aged 45–74 years were grouped into six groups by smoking status in the first and 5-year surveys: sustained smokers, recent quitters according to postcessation weight gain (no weight gain, 0.1–5.0 kg, >5.0 kg), long-term quitters and never smokers. Quitting smoking within and longer than 5 years were defined as recent and long-term quitters, respectively. We used Cox proportional hazard models to estimate the HR for incident CVD, coronary heart disease (CHD) and stroke.ResultsWe identified 4023 CVDs (889 CHDs and 3217 strokes) during a median of 14.8 years of follow-up. Compared with sustained smokers, the multivariable HR (95% CI) for CVD was 0.66 (0.52 to 0.83) for recent quitters without weight gain, 0.71 (0.55 to 0.90) for recent quitters with weight gain of 0.1–5.0 kg, 0.70 (0.44 to 1.10) for recent quitters with weight gain of >5.0 kg, 0.56 (0.49 to 0.64) for long-term quitters, and 0.60 (0.55 to 0.66) for never smokers. The analysis restricted to men showed a similar association. Prespecified analysis by age suggested that recent quitters overall had a lower HR for CVD among those aged <60 years vs ≥60 years. Similar patterns of association were observed in CHD and stroke.ConclusionsPostcessation weight gain did not attenuate the protective association between smoking cessation and risk of CVD.

scholarly journals Assessment of a Personal Interactive Carbon Monoxide Breath Sensor in People Who Smoke Cigarettes: Single-Arm Cohort Study (Preprint)

2020 ◽  
Author(s):  
Jennifer D Marler ◽  
Craig A Fujii ◽  
Kristine S Wong ◽  
Joseph A Galanko ◽  
Daniel J Balbierz ◽  
...  
Keyword(s):  
Carbon Monoxide ◽  
Smoking Cessation ◽  
Smoking Behavior ◽  
Exhaled Breath ◽  
Disease States ◽  
Quit Attempt ◽  
Quit Attempts ◽  
Motivation To Quit ◽  
Quitting Smoking ◽  
Evidence Based Treatments

BACKGROUND Tobacco use is the leading cause of preventable morbidity and mortality. Existing evidence-based treatments are underutilized and have seen little recent innovation. The success of personal biofeedback interventions in other disease states portends a similar opportunity in smoking cessation. The Pivot Breath Sensor is a personal interactive FDA-cleared (over-the-counter) device that measures carbon monoxide (CO) in exhaled breath, enabling users to link their smoking behavior and CO values, and track their progress in reducing or quitting smoking. OBJECTIVE The objective of this study is to assess the Pivot Breath Sensor in people who smoke cigarettes, evaluating changes in attitudes toward quitting smoking, changes in smoking behavior, and use experience. METHODS US adults (18-80 years of age, ≥10 cigarettes per day [CPD]) were recruited online for this remote 12-week study. Participants completed a screening call, informed consent, and baseline questionnaire, and then were mailed their sensor. Participants were asked to submit 4 or more breath samples per day and complete questionnaires at 1-4, 8, and 12 weeks. Outcomes included attitudes toward quitting smoking (Stage of Change, success to quit, and perceived difficulty of quitting), smoking behavior (quit attempts, CPD reduction, and 7-, 30-day point prevalence abstinence [PPA]), and use experience (impact and learning). RESULTS Participants comprised 234 smokers, mean age 39.9 (SD 11.3) years, 52.6% (123/234) female, mean CPD 20.3 (SD 8.0). The 4- and 12-week questionnaires were completed by 92.3% (216/234) and 91.9% (215/234) of participants, respectively. Concerning attitude outcomes, at baseline, 15.4% (36/234) were seriously thinking of quitting in the next 30 days, increasing to 38.9% (84/216) at 4 weeks and 47.9% (103/215) at 12 weeks (both <i>P</i>&lt;.001). At 12 weeks, motivation to quit was increased in 39.1% (84/215), unchanged in 54.9% (118/215), and decreased in 6.0% (13/215; <i>P</i>&lt;.001). Additional attitudes toward quitting improved from baseline to 12 weeks: success to quit 3.3 versus 5.0 (<i>P</i>&lt;.001) and difficulty of quitting 2.8 versus 4.3 (<i>P</i>&lt;.001). Regarding smoking behavior, at 4 weeks, 28.2% (66/234) had made 1 or more quit attempts (≥1 day of abstinence), increasing to 48.3% (113/234) at 12 weeks. At 4 weeks, 23.1% (54/234) had reduced CPD by 50% or more, increasing to 38.5% (90/234) at 12 weeks. At 12 weeks, CPD decreased by 41.1% from baseline (<i>P</i>&lt;.001), and 7- and 30-day PPA were 12.0% (28/234) and 6.0% (14/234), respectively. Concerning use experience, 75.3% (171/227) reported the sensor increased their motivation to quit. More than 90% (&gt;196/214) indicated the sensor taught them about their CO levels and smoking behavior, and 73.1% (166/227) reported that seeing their CO values made them want to quit smoking. CONCLUSIONS Use of the Pivot Breath Sensor resulted in a significant increase in motivation to quit, a reduction in CPD, and favorable quit attempt rates. These outcomes confer increased likelihood of quitting smoking. Accordingly, the results support a role for biofeedback via personal CO breath sampling in smoking cessation. CLINICALTRIAL ClinicalTrials.gov NCT04133064; https://clinicaltrials.gov/ct2/show/NCT04133064

scholarly journals Effectiveness of ENDS, NRT and medication for smoking cessation among cigarette-only users: a longitudinal analysis of PATH Study wave 3 (2015–2016) and 4 (2016–2017), adult data

2021 ◽  
pp. tobaccocontrol-2020-056448
Author(s):  
Bekir Kaplan ◽  
Panagis Galiatsatos ◽  
Alison Breland ◽  
Thomas Eissenberg ◽  
Joanna E Cohen
Keyword(s):  
Sensitivity Analysis ◽  
Smoking Cessation ◽  
Bayes Factor ◽  
Health Effect ◽  
Health Study ◽  
Cigarette Smoker ◽  
Quit Smoking ◽  
Quitting Smoking ◽  
Cigarette Cessation

BackgroundResearch is inconclusive on the effectiveness of electronic nicotine delivery systems (ENDS) as cigarette cessation aids compared with nicotine replacement therapy (NRT) or non-NRT medication. This study compared the cigarette cessation rates for ENDS, NRT and non-NRT medication.MethodPopulation Assessment of Tobacco and Health Study wave 3 cigarette-only users who used ENDS, NRT or non-NRT medication (varenicline and bupropion) to quit smoking between wave 3 and 4 were included. ‘Cessation’ was defined as being a former cigarette smoker in wave 4. χ2, logistic regression, and a sensitivity analysis with Bayes factor assessed the association between quitting smoking and method used.ResultsAmong 6794 cigarette-only users, 532 used ENDS (n=75), NRT (n=289), non-NRT medication (n=68), or a combination of NRT and non-NRT medication (n=100) to quit smoking between wave 3 and 4. The percentages of quitting smoking among those who used ENDS, NRT, non-NRT medication, and a combination of NRT and non-NRT medication were 16.2% (n=14), 16.1% (n=47), 17.7% (n=13), and 14.8% (n=12), respectively (p=0.97). None of the cigarette-only users who used ENDS to quit smoking became ENDS-only users in wave 4; 37.6% became dual users of ENDS and cigarettes.ConclusionNo differences were found when cessation rates of ENDS, NRT or non-NRT medication were compared. Given uncertainty about the long-term health effect of ENDS and the likelihood of becoming dual users, people who smoke and need assistance quitting should be encouraged to use current Food and Drug Administration-approved cessation methods until more effective methods are developed.

scholarly journals Predictive Power of Dependence Measures for Quitting Smoking. Findings From the 2016 to 2018 ITC Four Country Smoking and Vaping Surveys

2020 ◽  
Author(s):  
Michael Le Grande ◽  
Ron Borland ◽  
Hua-Hie Yong ◽  
K Michael Cummings ◽  
Ann McNeill ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Explanatory Power ◽  
Short Term ◽  
Logistic Regression Models ◽  
Quit Attempt ◽  
Dependence Measure ◽  
Quit Attempts ◽  
Quitting Smoking ◽  
Dependence Measures ◽  
Variance Explained

Abstract Introduction To test whether urges to smoke and perceived addiction to smoking have independent predictive value for quit attempts and short-term quit success over and above the Heaviness of Smoking Index (HSI). Aims and Methods Data were from the International Tobacco Control Four Country Smoking and Vaping Wave 1 (2016) and Wave 2 (2018) surveys. About 3661 daily smokers (daily vapers excluded) provided data in both waves. A series of multivariable logistic regression models assessed the association of each dependence measure on odds of making a quit attempt and at least 1-month smoking abstinence. Results Of the 3661 participants, 1594 (43.5%) reported a quit attempt. Of those who reported a quit attempt, 546 (34.9%) reported short-term quit success. Fully adjusted models showed that making quit attempts was associated with lower HSI (adjusted odds ratio [aOR] = 0.81, 95% confidence interval [CI] = 0.73 to 0.90, p &lt; .001), stronger urges to smoke (aOR = 1.08, 95% CI = 1.04 to 1.20, p = .002), and higher perceived addiction to smoking (aOR = 0.52, 95% CI = 0.32 to 0.84, p = .008). Lower HSI (aOR = 0.57, 95% CI = 0.40 to 0.87, p &lt; .001), weaker urges to smoke (aOR = 0.85, 95% CI = 0.76 to 0.95, p = .006), and lower perceived addiction to smoking (aOR = 0.55, 95% CI = 0.32 to 0.91, p = .021) were associated with greater odds of short-term quit success. In both cases, overall R2 was around 0.5. Conclusions The two additional dependence measures were complementary to HSI adding explanatory power to smoking cessation models, but variance explained remains small. Implications Strength of urges to smoke and perceived addiction to smoking may significantly improve prediction of cessation attempts and short-term quit success over and above routinely assessed demographic variables and the HSI. Stratification of analyses by age group is recommended because the relationship between dependence measures and outcomes differs significantly for younger (aged 18–39) compared to older (aged older than 40) participants. Even with the addition of these extra measures of dependence, the overall variance explained in predicting smoking cessation outcomes remains very low. These measures can only be thought of as assessing some aspects of dependence. Current understanding of the factors that ultimately determine quit success remains limited.

scholarly journals Correlates of Cessation Success among Romanian Adults

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Dorota Kaleta ◽  
Bukola Usidame ◽  
Elżbieta Dziankowska-Zaborszczyk ◽  
Teresa Makowiec-Dąbrowska
Keyword(s):  
Smoking Cessation ◽  
Public Health Problem ◽  
Household Survey ◽  
Evidence Based ◽  
Cross Sectional ◽  
Factors Associated ◽  
Quit Rate ◽  
Quitting Smoking ◽  
Nationally Representative

Background. Tobacco smoking and its consequences are a serious public health problem in Romania. Evidence-based data on factors associated with successful smoking cessation are crucial to optimize tobacco control. The aim of the study was to determine the sociodemographic and other factors associated with smoking cessation success among adults.Materials and Methods. Data was from a sample of 4,517 individuals derived from the Global Adult Tobacco Survey (GATS). GATS is a cross-sectional, nationally representative household survey implemented in Romania in 2011. Data was analyzed with logistic regression.Results. Among females, the quit rate was 26.3% compared with 33.1% in males (P<0.02). We found disparities in cessation success among the analyzed groups of respondents. Being economically active, being aged 40 and above, and having an awareness of smoking health consequences were associated with long-term quitting smoking among men, while initiating smoking at a later age increased the odds of quitting smoking among women. However, cohabitation with nonsmokers was the strongest predictor of successful cessation among both genders.Conclusion. Programs increasing quit rates and encourage cessation among groups less likely to quit, adopting voluntary smoke-free homes, and increasing the awareness of smoking and tobacco pollution risks are needed.

scholarly journals Long-Term Smoking Cessation Outcomes Among Childhood Cancer Survivors in the Partnership for Health Study

2009 ◽  
Vol 27 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Karen M. Emmons ◽  
Elaine Puleo ◽  
Ann Mertens ◽  
Ellen R. Gritz ◽  
Lisa Diller ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cancer Survivors ◽  
Childhood Cancer ◽  
Smoking Status ◽  
Childhood Cancer Survivors ◽  
Health Study ◽  
Secondary Outcome ◽  
Quit Attempts

Purpose Partnership for Health (PFH) was found to increase smoking cessation among smokers in the Childhood Cancer Survivors Study (CCSS) at the 8- and 12-month postbaseline follow-up. This report provides outcomes at 2 to 6 years postbaseline; the primary outcome is a four-category smoking status variable (quit at all follow-ups, quit at final follow-up only, smoker at all follow-ups, and smoker at final follow-up only); quit attempts among those who reported smoking at the final follow-up is a secondary outcome. Methods PFH was a randomized control trial with two conditions, peer phone counseling (PC) and self-help (SH), that involved smokers (n = 796) enrolled in the CCSS cohort. Results Long-term quit rates were higher in PC versus SH participants. Long-term smoking cessation outcomes were lower among those who were nicotine dependent, of lower educational levels, and among men, and were higher among those who used nicotine replacement therapy and who had higher levels of situational self-efficacy. There were no significant differences in relapse rates between conditions or in quit attempts among continued smokers. Conclusion Cessation rates continue to be significantly higher among participants in the PC condition versus SH, although the differences were not large. This article highlights differences in long-term engagement with smoking cessation among those who received the intervention.

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