Factors associated with predictors of smoking cessation from a Norwegian internet-based smoking cessation intervention study.

INTRODUCTION: We examined if we could identify predictors for smoking cessation at six months post cessation, among smokers enrolled in a large Norwegian population-based intervention study. METHODS: We followed 4333 (72.1% women) smokers who enrolled in an internet-based smoking cessation intervention during 2010-2012. The baseline questionnaire collected information on sociodemographic and lifestyle factors, including current snus use. The cessation outcome was self-reported no smoking past seven days, at six months. We used logistic regression to estimate odds ratios (ORs) with 95% confidence intervals, to identify predictors of smoking cessation, adjusting for potential confounders. RESULTS: Women (OR=1.30; 95% CI: 1.01-1.69) compared with men, and those with medium (OR=1.31; 95% CI: 1.02-1.68) and longer (OR=1.42; 95% CI: 1.06-1.90) education compared with those with shorter education, were more likely to be successful quitters.Overall, being a student (OR=0.56; 95% CI: 0.37-0.85) compared with having full-time work, and a moderate to high Fagerström test for nicotine dependence (FTND) score (OR=0.69; 95% CI: 0.55-0.87) compared with a low score, were predictors for unsuccessful cessation. Current snus use was a predictor for unsuccessful cessation compared to no snus use for both men (OR=0.49; 95% CI: 0.28-0.88) and women (OR=0.49; 95% CI: 0.32-0.75). CONCLUSIONS: Our study identifies female sex and longer education as predictors for successful smoking cessation, while a medium or high FTND score, being a student, and current snus use, were predictors for unsuccessful smoking cessation. Only current snus use was a predictor for unsuccessful cessation for both sexes. Our results indicate that smokers should be warned that snus use may prevent successful smoking cessation.

Determinants of E-Cigarette and Cigarette Use among Youth and Young Adults in Poland-PolNicoYouth Study.

Teen use of tobacco-related products is a significant public health concern. This study evaluated the predictors of e-cigarette use among secondary school students who were never cigarette smokers and ever cigarette smokers in Poland. METHODS: This study examined a sample of Polish youths aged 13-19 (n = 19,241) attending 200 schools, 12 on average in each county. The study was a part of the National Health Program in Poland for 2016-2020. Logistic regression and multivariable logistic regression models were used to calculate crude and adjusted odds ratios. RESULTS: Of all participants, 32.5% were ever cigarette users. Among the never cigarette users, 13.6% were deemed susceptible to e-cigarette use. Among the ever cigarette users, 60.6% were deemed susceptible to e-cigarette use. Of those susceptible to e-cigarette use, 68.2% were among the 32.5% ever cigarette users. The profile of e-cigarette use among never e-cigarette users also included: pocket money available per month (more than 150 PLN) (OR = 1.7; p = 0.001), 16-17 years old (OR = 1.9; p = 0.001), parental tobacco smoking and e-cigarette usage (OR = 2.0; p = 0.01 and OR = 1.7; p = 0.001 respectively), maternal secondary education (OR = 1.1; p = 0.04), and living in big cities >500,000 inhabitants (OR = 1.4; p = 0.04). E-cigarette users among ever cigarette users were similar to never cigarette users in their opinion that e-cigarette use is less harmful than traditional smoking (OR = 1.6; p = 0.0012) and living with both parents smoking cigarettes (OR = 1.3; p = 0.02). Additionally, the determinants were: female gender (OR = 1.5; p = 0.009) in the age group less than 15 years of age (OR = 1.3; p = 0.007). CONCLUSIONS: The major determinant of e-cigarette use in this population was prior smoking. Additionally, the results revealed that fairly obvious predictors such as parental smoking and a belief in the less harmfulness of e-cigarette use are important determinants for smoking among never or ever e-cigarette users.

Predictors of smoking reduction outcomes in a sample of 287 patients with schizophrenia spectrum disorders.

Many studies have investigated whether a type of antipsychotics or type of adjuvant is associated with smoking reduction in patients with schizophrenia. However, there has been no study exploring a comprehensive range of factors related to smoking reduction in schizophrenia patients. We analyzed a dataset of 287 smoking patients with schizophrenia who participated in an 8-week open-label study with high- (n = 90) or low-dose nicotine dermal patches (n = 132) or bupropion (n = 65). A logistic regression model and a linear mixed model were used to explore factors associated with the outcomes of smoking cessation and reduction, i.e., the number of cigarettes smoked and the level of nicotine dependence. The total cessation rate was 6.3 % (18/287). There were no significant predictors of cessation. The time effect of reduction was significant during the program (p = 0.001). Type of antipsychotics (p = 0.018), readiness to quit (p = 0.014), baseline number of cigarettes smoked per day (p = 0.001), and nicotine dependence level (p = 0.001) were significantly associated with smoking reduction. Patients on first-generation antipsychotics (n = 129) or clozapine (n = 70) reduced their smoking more than those on non-clozapine second-generation antipsychotics (n = 74). Patients in the preparation stage (n = 97) or in the contemplation (n = 70) reduced their smoking more than those in the precontemplation stage (n = 120). The mechanisms of tobacco addiction need to be better understood for further development of effective cessation programs in patients with schizophrenia.

Predictors of 10-year smoking abstinence in smokers abstinent for 1 year after treatment.

AIMS: To identify factors predicting long-term relapse to smoking in people attending smoking treatment services who have maintained at least 1 year abstinence. DESIGN: Observational, prospective study with multiple logistic regression used to model predictors of relapse between 1 and 10 years from cessation using variables measured pre-cessation. SETTING AND PARTICIPANTS: Among smokers receiving behavioural support for cessation in a clinic in Spain, in some cases with nicotine patches or bupropion, 366 had remained abstinent after 1 year of follow-up and were included into the study. MEASUREMENTS: Predictive measures (disease history, psychological disorder, age of starting smoking, years of smoking, cigarette dependence and smoking cessation treatment used) were obtained at the time of the quit attempt, and 'failure' (defined as reported smoking, loss to follow-up, died or an expired air carbon monoxide reading of > 5 parts per million) was assessed 10 years later. FINDINGS: At follow-up, abstinence status was confirmed in 50.5% (n = 185) of participants, while 21.0% (n = 77) reported that they had resumed smoking, and 28.5% (n = 104) were lost to follow-up (also counted as having resumed smoking). In the multiple regression model, the main factor that predicted relapse had a psychological disorder (odds ratio = 1.85, 95% confidence interval = 1.13-3.05; P < 0.02). CONCLUSIONS: Having a psychological disorder at the time of stopping smoking is a risk factor for relapse to smoking, even after more than 1 year of abstinence.