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INTRODUCTION: Cytisine is a smoking cessation drug now used worldwide. Most of the data available in the literature predict a 25-day treatment, accepted on the basis of previous clinical experience in Eastern Europe. There are few studies on dosing, and only recently some researchers have tried a longer treatment period. METHODS: This real-world retrospective cross-sectional study analyzed data collected consecutively from 2015 to 2021, in seven smoking cessation centers in north-central Italy. The aim of this study is to evaluate the effectiveness and tolerability of a 40-day cytisine treatment with an induction phase and a slower reduction schedule. Data were collected from a group of 871 patients treated with cysteine, varenicline, and nicotine replacement therapy (NRT). The sample was not randomized. Behavioral support (4-6 sessions, each lasting 20-30 min, plus the evaluation session) was delivered to all patients. RESULTS: Subgroups taking cytisine (n=543 for 40 days), varenicline (n=281 for 12 weeks), and NRT (n=47 for eight weeks) showed biochemically confirmed smoking abstinence at 6 months of 50.5%, 55.9%, and 51.0%, respectively, with a statistically significant difference between cytisine versus varenicline (p<0.01) but not between cytisine versus NRT (p=0.5597). Adverse events were 4.4% with cytisine and 33.3% with varenicline. Behavioral support was an important factor in effectiveness. CONCLUSIONS: This study produced preliminary evidence that the 40-day regimen of cytisine, appears to have less effectiveness in comparison to varenicline but the magnitude of the effect is comparable. The results and tolerability seem to be better than in most other studies.
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OBJECTIVE: to assess the prevalence of smoking in pregnancy and its changes after childbirth, and the characteristics associated with a greater likelihood of smoking during pregnancy in a sample of women attending three university hospitals in Tuscany (Central Italy). DESIGN: observational prospective multicentric study. SETTING AND PARTICIPANTS: 1,036 women in ninth month of pregnancy were enrolled at the teaching hospitals of Careggi (Firenze), Pisa and Siena. Women filled a standardized, self-administered questionnaire at enrolment. A second questionnaire was administered by phone to the smoking, ex-smoking and abstinent-during-pregnancy women one year after the delivery. RESULTS: 60.5% of women was never smoker, 17.4% was ex-smoker, 14% of women stopped smoking during pregnancy, and 8.4% were current smokers. Smoking in pregnancy was significantly associated with being younger than 31 years old (OR 1.75; 95%CI 1.01-1.84) and unmarried (OR 1.75; 95%CI 1.10- 2.78), having a low school degree (OR 2.31; 95%CI 1.58-3.36) and a smoking partner (OR 3.03; 95%CI 2.32-3.96). The absolute risk of smoking during pregnancy was 42%. One year after delivery, 44%of women who stopped smoking in pregnancy relapsed. CONCLUSIONS: a not negligible percentage of women residents in Tuscany Region smokes during pregnancy. Relapses after delivery are high. Even if recently in Italy a smoke free legislation was implemented, the study shows a low attention toward passive smoking during pregnancy. Smoking cessation interventions specifically tailored for pregnant women and relapses prevention need to be implemented in Tuscany by all health care professionals who care for women during pregnancy and after delivery.
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Abandono do Hábito de Fumar , Fumar , Feminino , Humanos , Itália , Gravidez , Estudos Prospectivos , Fumar/epidemiologia , Poluição por Fumaça de TabacoRESUMO
INTRODUCTION: Predicting the success of smoking cessation might be crucial to guide towards the treatment of smoking dependence in a clinical setting. We analyzed the potential determinants of successful smoking cessation with a specific focus on self-efficacy in predicting quitting smoking. METHODS: All consecutive smokers (n=478; 224 men and 254 women) attending the Careggi University Hospital Smoking Cessation Service in Florence (Italy) in 2018-2019 provided information on self-efficacy in predicting smoking cessation, using a 1-10 rating scale during their first visit. Patients were followed up for success in quitting smoking at 3, 6 and 12 months, validated through CO exhaled measurement. To evaluate the association between self-efficacy and the probability of success, we estimated multivariable relative risks (RRs) and corresponding 95% confidence intervals (CIs) through log-binomial models for longitudinal data. RESULTS: Overall, 47.9% of smokers succeeded in their attempt to quit at 3 months, 40.2% at 6 months, and 33.9% at 12 months. Compared to low self-efficacy (rating scale 1-5), the RR of success in quitting smoking was 1.40 (95% CI: 1.06-1.85) for intermediate self-efficacy (scale 6-7) and 1.64 (95% CI: 1.28-2.12) for high self-efficacy (scale 8-10). CONCLUSIONS: Self-efficacy is an independent determinant of smoking cessation. We recommend to systematically collect self-efficacy, together with other relevant variables, to predict successful smoking cessation. Moreover, strategies to develop and maintain high levels of self-efficacy are essential to increase quit success and improve treatment.
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This study aimed to evaluate smoking cessation (SC) motivation and the acceptability of a lung cancer screening (LCS) program with low-dose computed tomography (LDCT) among people who attend SC programs. A multicenter survey was conducted in the period January-December 2021 involving 197 people who attended group or individual SC courses in Reggio Emilia and Tuscany. Questionnaires, information sheets, and decision aids about the potential benefits and harms of LCS with LDCT were distributed at different time points during the course. The wish to protect own health (66%) was the most frequent reason given for quitting smoking, followed by cigarette dependence (40.6%) and current health problems (30.5%). Half of the participants (56%) considered periodic health checks including LDCT, as an advantageous activity. The great majority of participants were in favor of LCS (92%), with only 8% being indifferent, and no one was against these programs. Interestingly, those with sufficiently high smoking-related LC risk to be eligible for LCS and those attending the individual course were less in favor of LCS but also less concerned about the possible harms associated with LCS. The type of counseling was a significant predictor for both LCS acceptability and perceived harm of LCS. The favorable perception of LCS in people attending SC courses, despite the considerable preoccupation with potential harms, is an important finding of this study. Introducing a discussion on the benefits and harms of LCS in SC programs may prepare persons who smoke to make informed decisions on utilizing LCS.
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Smoking abstinence expectancies are beliefs about negative and positive short-term psychological and physiological consequences of not smoking. The Smoking Abstinence Expectancies Questionnaire (SAEQ) is a widely used Patient-Reported Outcome Measure (PROM) to assess smoking abstinence expectancies. It has four subscales: negative mood, somatic symptoms, harmful consequences, positive consequences. Although studied from a psychometric perspective, the SAEQ needs further evaluation. Clinimetrics, and its Clinimetric Criteria for Patient-Reported Outcome Measures (CLIPROM), offers a robust method to evaluate the SAEQ. We verified construct validity and sensitivity of the Italian version of the SAEQ applying CLIPROM criteria. A total of 293 adult Italian smokers were consecutively enrolled at two smoking cessation clinics and assessed via the SAEQ. Item Response Theory models (i.e., combining Rasch and Mokken analyses) were used to test construct validity and sensitivity. The total score of the SAEQ was not found to be unidimensional but each SAEQ subscale score was. PSI (0.90) indicated that the total score of the SAEQ could reliably discriminate between respondents with different levels of the trait under assessment, whereas SAEQ subscales on negative mood and harmful consequences could reliably distinguish between different groups but not between different subjects (PSI ranging from 0.77 and 0.78). Overall, the total score of the SAEQ is a sensitive screening PROM and can be used at smoking cessation clinics to discriminate between subjects with different levels of smoking abstinence expectancies. SAEQ subscales should be used to detect severity and subjective burden of a wide range of expected effects of nicotine abstinence.
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Abandono do Hábito de Fumar , Adulto , Humanos , Psicometria , Fumantes , Fumar , Inquéritos e QuestionáriosRESUMO
The emergency caused by Covid-19 pandemic raised interest in studying lifestyles and comorbidities as important determinants of poor Covid-19 prognosis. Data on tobacco smoking, alcohol consumption and obesity are still limited, while no data are available on the role of e-cigarettes and heated tobacco products (HTP). To clarify the role of tobacco smoking and other lifestyle habits on COVID-19 severity and progression, we designed a longitudinal observational study titled COvid19 and SMOking in ITaly (COSMO-IT). About 30 Italian hospitals in North, Centre and South of Italy joined the study. Its main aims are: 1) to quantify the role of tobacco smoking and smoking cessation on the severity and progression of COVID-19 in hospitalized patients; 2) to compare smoking prevalence and severity of the disease in relation to smoking in hospitalized COVID-19 patients versus patients treated at home; 3) to quantify the association between other lifestyle factors, such as e-cigarette and HTP use, alcohol and obesity and the risk of unfavourable COVID-19 outcomes. Socio-demographic, lifestyle and medical history information will be gathered for around 3000 hospitalized and 700-1000 home-isolated, laboratory-confirmed, COVID-19 patients. Given the current absence of a vaccine against SARS-COV-2 and the lack of a specific treatment for -COVID-19, prevention strategies are of extreme importance. This project, designed to highly contribute to the international scientific debate on the role of avoidable lifestyle habits on COVID-19 severity, will provide valuable epidemiological data in order to support important recommendations to prevent COVID-19 incidence, progression and mortality.