Predictors of long-term smoking cessation: results from the global adult tobacco survey in Poland (2009-2010)

Levels, Trends and Determinants of Tobacco Quitting Behaviour in India: Findings from Two Consecutive Nationally Representative Surveys

Introduction:

Quitting tobacco use is known to decrease mortality by 90% if successfully achieved before middle age. This analysis was conducted to assess the levels, trends and determinants of tobacco quitting behaviour amongst the Indian population.

Materials and Methods:

This was secondary data analysis of the National Family Health Survey (NFHS)-4 (2015–2016) and NFHS-5 (2019–2020) of India.

Results:

A rising trend (4%) in intention to quit tobacco was observed amongst women, while a decline in intention to quit (0.5%) was observed amongst men from 2015–2016 to 2019–2020. An increase in the quitting was observed amongst women with age, with higher levels of education, being married or widowed/separated/divorced, hypertensives and diabetic patients. Amongst men, a declining trend to quit was observed with increasing level of education amongst the richest and amongst smokers, alcohol users and diabetics. The trends in quitting increased amongst those who were exposed to mass media.

Conclusion:

This study shows an increase in tobacco quitting amongst females and a decline amongst men in the Indian population from 2015–2016 to 2019–2020.

"Healthier health in more ways than one": Perspectives on a program for changing both smoking and obesity-related health behaviors

INTRODUCTION

Individuals with obesity who smoke cigarettes have increased risk of morbidity and mortality. The goal of the current study was to inform the development of a multiple health behavior change intervention designed to facilitate smoking cessation while also targeting weight gain.

METHODS

Four qualitative focus groups were conducted with individuals who smoked cigarettes and had overweight or obesity (n = 16) to explore the combined effects of smoking and obesity, past attempts to quit smoking or lose weight, and preferences for a combined health intervention.

RESULTS

Focus groups converged on five themes including: the interactive effects of weight and smoking; lack of experience with evidence-based weight loss approaches; a desire and expectation to lose weight quickly; rapid weight gain during past attempts at smoking cessation; and interest in a multiple health behavior change intervention with weight management preceding smoking cessation and an emphasis on planning for the future and receiving encouragement and support.

CONCLUSIONS

Groups provided insight into key topics to highlight in a combined intervention and key issues that have interfered with success in both domains.

Compliance with public health recommendations of cancer-free female research volunteers: the French Seintinelles study

PURPOSE

Acting on modifiable risk factors can prevent approximately 40% of cancers. Knowing the factors that lead people to adopt healthy behaviors is crucial for designing effective primary prevention campaigns. Our study attempts to provide knowledge in this direction.

METHODS

This cross-sectional study was conducted via the Seintinelles collaborative research platform in a community of women without a personal cancer history, and volunteering to take online questionnaires. We collected data on sociodemographic and health factors, knowledge of cancer risk factors, behaviors, and possible behavior changes (tobacco/alcohol use, diet, body weight, and physical activity) in the last 10 years.

RESULTS

The study involved 1465 women aged between 18 and 84 years. Factors such as young age, living alone, and obesity were associated with some positive or negative behavior changes. Being professionally active and having comorbidities favored certain positive behavior changes, while having dependent children, living in a rural area, and being hospitalized were associated with negative or no change in behaviors. Lack of knowledge about modifiable risk factors for cancer was associated with the non-adoption of various healthy behaviors (consumptions of fruit and vegetables, processed and red meat; physical activity). Only 5.5% of participants currently reported to be compliant with seven public health recommendations (smoking; alcohol, fruit/vegetables, and red/processed meat intakes; body mass index; and physical activity).

CONCLUSIONS

This study allowed to identify the need to increase the level of knowledge on modifiable risk factors for cancer among the general population and to better clarify the content of prevention messages.

Individual-, social- and policy- factors associated with smoking cessation among adult male cigarette smokers in Hanoi, Vietnam: a longitudinal study

BACKGROUND

Nearly one-in-two Vietnamese men smoke cigarettes placing them among the highest tobacco consumers in the world. Despite the need for smoking cessation to curb the burden of tobacco-related diseases in Vietnam, this rate remains at less than 30%. Therefore, this study examines individual-, social- and policy factors associated with smoking cessation among adult male smokers in Vietnam.

METHODS

We established a longitudinal International Tobacco Control study of male smokers in Hanoi, Vietnam, in September 2018. This paper analyses 1525 men who participated in baseline and one-year follow-up. We applied a weighted multivariable logistic regression to examine the association between smoking cessation and individual-, social- and policy predictors.

RESULTS

At follow-up, 14.8% of participants had quit smoking for at least 30 consecutive days during the last year. Among the persistent smokers, 56.6% expressed intention to quit smoking. Factors associated with smoking cessation included a lower number of cigarettes smoked per day (aOR = 0.96, 95% CI: 0.94, 0.99) and having several attempts to quit smoking (aOR = 2.16, 95% CI 1.13, 4.12). Intention to quit smoking was associated with multiple quit attempts, a chronic condition diagnosis, more tobacco-related knowledge, greater self-efficacy, and more worries about their future health. The perceived impact of smoke-free policy and health warning labels were positively associated with intention to quit at any stage.

CONCLUSIONS

Interventions aimed at increasing smoking cessation should focus on all aspects of individual, social, and policy factors. Persistent smokers are more motivated to quit if they have made multiple quit attempts, more self-efficacy of quitting and worried about their future health, indicating that increasing smokers' beliefs and knowledge may be important for behavioural change. Health warning labels and tobacco taxation policies should be maintained and promoted as they are perceived to be particularly useful for persistent smokers' intention to quit.

Correlates of motivation to quit waterpipe tobacco smoking among US young adults: implications for cessation interventions

Waterpipe tobacco smoking is a public health concern that poses many of the same health risks as cigarette smoking, especially among young adults-a subpopulation characterized by the highest prevalence of waterpipe tobacco smoking. Nevertheless, it remains understudied relative to other forms of tobacco use. We examined sociodemographic, behavioral and cognitive factors associated with young adults' motivation to quit waterpipe smoking using a theory-informed approach. We completed a secondary analysis of baseline data on waterpipe tobacco smoking beliefs and behavior collected from 349 US young adults aged 18-30 years. We analyzed sociodemographics, tobacco use and cessation behaviors and perceptions, and theory-related constructs associated with motivation to quit waterpipe tobacco smoking using linear regression. Overall, participants reported low motivation (mean = 2.68, SD = 1.56, scale range 1-7) and high self-efficacy (mean = 5.12, SD = 1.79) to quit waterpipe tobacco smoking. In multivariable analysis, prior quit attempts (β = 1.10, P < 0.01), greater perceived risks of waterpipe tobacco smoking (β = 0.42, P < 0.01) and increasingly negative attitudes toward waterpipe tobacco smoking (β = 0.29, P < 0.01) were associated with higher motivation to quit. These findings highlight the importance of those factors as potential cessation determinants. These findings can help guide the development and refinement of interventions targeting young adult waterpipe tobacco smoking.

Telephone-Based Smoking Cessation Counseling Service: Satisfaction and Outcomes in Vietnamese Smokers

BACKGROUND

As a method to acknowledge the devastating health and economic impacts of tobacco usage worldwide, telephone-based tobacco cessation counseling services have emerged as a potential tool to aid people in their quitting process. This study explores the satisfaction of smokers who use the QUITLINE service and factors associated with their quit attempts and cessation.

METHODS

A cross-sectional survey of 110 participants was conducted from June to July 2016 at the Respiratory Center at Bach Mai Hospital, Hanoi, Vietnam. Multivariate logistic regression was used, and it was found that the percentage of people quitting smoking increased after using the service.

RESULTS

In total, 65.5% of participants were completely satisfied with the counseling service. The mean score of staff/s capacity/responsiveness, motivation, and service convenience were 4.37 ± 0.78, 4.30 ± 0.81, and 4.27 ± 0.66, respectively. The smoking relapse rate was relatively high at 58.3%, which mainly resulted from cravings and busy work (26.2% and 14.3%, respectively). A higher satisfaction score in "Staffs' capacity and responsiveness" was negatively associated with "ever tried to quit smoking in consecutive 24 h" and actually quit smoking after receiving counseling. Meanwhile, a higher score in the "Motivation" domain was positively associated with both quit attempt indicators as well as actually quitting smoking after receiving counseling (OR = 9.48; 95%CI = 2.27; 39.57).

CONCLUSIONS

These results suggest that it is crucial for decision makers to place more focus on countermeasures for smoking relapse and to strengthen the capacity of staff, especially in motivating clients. Interventions should also be maintained throughout a long period of time to prevent relapse.

Factors associated with smoking quit attempts among tobacco smokers

Despite more than one-third of tobacco users attempting to quit tobacco each year, only 4–6 % of them succeed to remains abstinent after one year. The aim: This study aims to estimate the proportion of smokers who attempt to quit tobacco smoking and determine factors associated with quitting behaviour. Methods: This community-based, cross-sectional study was conducted among 720 smokers aged 18 years and above residing in a rural area of Haryana state of India. A chi-square test determined the association between various variables under study and quitting attempts among study subjects. Factors found to be statistically significant using a chi-square test were entered into a binary logistic regression analysis to obtain determinants of smoking quitting attempts among the respondents. Results: 28.5 % of the respondents had attempted to quit smoking during the past 1 year. The majority of them, i.e., 73.7 %, had attempted once, whereas 21.0 % and 5.4 % of respondents had made 2 and 3 attempts, respectively, to quit smoking during the last 1 year. Factors independently associated with quitting behaviour were educational level (AOR=1.851, p=0.028), age of initiation (AOR=0.620, p=0.026), reasons for smoking (AOR=1.681, p=0.016), money spent on smoking (AOR=1.700, p=0.003), family pressure to quit smoking (AOR=1.725, p=0.006) and advice from health professionals to quit smoking (AOR=2.104, p<0.001). Conclusion: Around one-third of smokers have attempted to quit tobacco smoking in the past year. Hence there is a need to formulate policies towards a targeted intervention for smokers who have not attempted to quit smoking in the past 1 year for effective tobacco control

Poor implementation of tobacco control measures and lack of education influences the intention to quit tobacco: a structural equation modelling approach

BACKGROUND

Tobacco consumption remains a public health issue and is one of the major causes of death in India. This study presents a validated conceptual model to assess the interaction between education, perceived application of tobacco control measures, type of tobacco and their effects on the intention to quit tobacco. Additionally, the direct and mediating roles of tobacco use -frequency, -duration, and -dependency on the intention to quit is also investigated.

METHODS

An analytical cross-sectional study was carried out, and data from tobacco users of six randomly selected states in India was collected via face-to-face interviews. Structural equation modeling (SEM) was performed using R v 3.6.3 to test the model fit and to explore the association between tobacco control measures and the intention to quit tobacco.

RESULTS

From 1962 tobacco users, 43.7% wanted to quit tobacco immediately. Tambakoo (57.7%) was the most common type of tobacco used and 68.9% said that minors could buy tobacco. Findings from SEM showed that that one standard deviation (SD) increase in the perceived application of tobacco control measures is directly associated with a 0.181 SD increase in the intention to quit tobacco (B = 0.181, P < 0.001), and this effect was partially mediated by frequency of tobacco consumption (B = 0.06, P < 0.05). Also, a better education level was associated with a higher intention to quit tobacco (B = 0.14, P < 0.001).

CONCLUSIONS

To conclude, the application of tobacco control measures and a better education level may positively affect the intention to quit tobacco. The frequency of tobacco use and the number of influencers play an essential role in deciding to quit. In future, longitudinal studies are recommended to further substantiate the evidence.

Factors associated with quit attempt and successful quitting among adults who smoke tobacco in Ethiopia: Global Adult Tobacco Survey (GATS) 2016

INTRODUCTION

METHODS

RESULTS

CONCLUSIONS

Moderators of the response to deep TMS for smoking addiction

INTRODUCTION

Deep repetitive transcranial magnetic stimulation (Deep TMS™) was recently cleared by the FDA as a short-term treatment for smoking cessation. However, it is unknown which participants are more likely to benefit from the treatment.

METHODS

We evaluated the data from the published randomized controlled trial of 262 participants 22-70 years old that led to the FDA clearance to characterize demographic and smoking history factors that moderate Deep TMS treatment efficacy. The current analysis included 75 completers in the active TMS group and 94 completers in the sham TMS group.

RESULTS

We found that participants younger than 40 had four times the quit rate than those older than 40. Additionally, participants who quit following treatment smoked 10 years less than non-quitters. Moreover, Caucasian participants had two times the quit rate than African-American participants. Strikingly, participants with more than 12 years of education had 7 times the quit rate than participants with less education.

CONCLUSION

Three weeks of Deep TMS has a higher smoking addiction quit rate in participants who are younger, more educated, Caucasian and with less extensive smoking history. Participants who are older, with less education and more extensive smoking history may need a longer treatment course and/or combined treatment modalities. Potential reasons may be related to the challenges of inducing neuronal modifications in those with greater physical and psychological dependence. Further investigation is warranted.

What factors are associated with waterpipe smoking cessation? A secondary data analysis

INTRODUCTION

Waterpipe smoking is gaining popularity and becoming a major global public health concern. An understanding of factors that predict waterpipe smoking cessation is necessary for targeting tobacco control efforts.

METHODS

This is a secondary data analysis of a randomised controlled-trial comparing the efficacy of varenicline against placebo in helping waterpipe smokers to quit. A total of 510 adult daily waterpipe smokers were recruited to the trial in 2016. Logistic regression models were applied to assess factors (i.e., demographic, environmental, behavioural, and physiological) associated with primary outcome (waterpipe smoking cessation) and secondary outcomes (waterpipe cessation alongside abstinence from cigarette and short-term and long-term waterpipe smoking cessation). Cessation was defined as 7-day point prevalence abstinence from smoking reported at 5,12, and/or 25 weeks follow ups.

RESULTS

Over a period of six months, 189 (39.2%) participants abstained from waterpipe smoking for at least one week. Being male (adjusted odds ratio (aOR):2.99 (95%CI:1.47-6.08)), dual smoker (waterpipe and cigarettes) (aOR:2.98 (95%CI:1.87-4.74)), more withdrawal symptoms measured by the Mood and Physical Symptoms Scale (aOR:1.08 (95%CI:1.02-1.13)), less nicotine dependency measured by Lebanon Waterpipe Dependency Scale (aOR:0.90 (95%CI:0.85-0.96)), having history of quit attempt (aOR:2.14 (95%CI:1.16-3.96)), smoking restriction in the house (aOR:2.69 (95%CI:1.01-7.14)), and not sharing waterpipe with others (aOR:2.72 (95%CI:1.31-5.66)) predicted waterpipe smoking cessation.

CONCLUSIONS

In addition to nicotine dependency, social factors such as home restrictions on smoking, and not sharing waterpipe were identified as predictors of waterpipe smoking cessation. To help waterpipe smokers quit, social environment may be just as or even more important than well-known physical and psychological factors.

IMPLICATIONS

A range of factors, predominantly social factors play a significant role in facilitating or deterring waterpipe smokers from quitting smoking. Our findings suggest that interventions that focus on social as well as physical/psychological factors may encourage waterpipe smokers in achieving abstinence.

Changes in Smoking Behavior Since the Declaration of the COVID-19 State of Emergency in Japan: A Cross-sectional Study From the Osaka Health App

BACKGROUND

In April 2020, the Japanese government declared a state of emergency due to the COVID-19 pandemic, and infection control measures, including requests to work from home and stay-at-home restrictions, were introduced. This study examined changes in smoking behavior during the COVID-19 state of emergency.

METHODS

An online cross-sectional survey was conducted in Osaka, Japan. To assess differences in smoking behavior among 5,120 current smokers before and after the declaration of a state of emergency, prevalence ratios (PRs) for two outcomes, increased smoking and quitting smoking, were calculated using multivariable Poisson regression, adjusting for potential covariates.

RESULTS

We found 32.1% increased the number of cigarettes smoked and 11.9% quit smoking. After adjustment for all variables, we found risk factors for COVID-19 (men and older age group) had both significantly higher PR for quitting smoking (men: PR 1.38; 95% confidence interval [CI], 1.17-1.62) and participants aged ≥65 years: PR 2.45; 95% CI, 1.92-3.12) and significantly lower PR of increased smoking (men: PR 0.85; 95% CI, 0.78-0.93 and participants ≥65 years: PR 0.38; 95% CI, 0.29-0.49). Additionally, respondents working from home or living alone had significantly higher PR for increased smoking (working from home: PR 1.29; 95% CI, 1.17-1.41 and living alone: PR 1.23; 95% CI, 1.10-1.38) and respondents who changed from cigarettes to heated tobacco products (HTPs) had significantly lower PR for quitting smoking (PR 0.150; 95% CI, 0.039-0.582).

CONCLUSIONS

We suggest people who have high-risk factors for COVID-19 might change their smoking behavior for the better, while people who work from home or live alone might change their smoking behavior for the worse, during the COVID-19 state of emergency. Additionally, changing from smoking cigarettes to using HTPs makes smokers less likely to quit.

Factors Associated With Quitting Smoking in Indonesia

Objectives:

The aim of this study was to identify factors associated with quitting smoking in Indonesia

Methods:

Data on 11 115 individuals from the fifth wave of the Indonesia Family Life Survey were analyzed. Quitting smoking was the main outcome, defined as smoking status based on the answer to the question “do you still habitually (smoke cigarettes/smoke a pipe/use chewing tobacco) or have you totally quit?” Logistic regression was performed to identify factors associated with successful attempts to quit smoking.

Results:

The prevalence of quitting smoking was 12.3%. The odds of successfully quitting smoking were higher among smokers who were female (adjusted odds ratio [aOR], 2.69; 95% confidence interval [CI], 2.08 to 3.33), were divorced (aOR, 2.45; 95% CI, 1.82 to 3.29), did not chew tobacco (aOR, 3.01; 95% CI, 1.79 to 5.08), found it difficult to sacrifice smoking at other times than in the morning (aOR, 1.29; 95% CI, 1.14 to 1.46), and not smoke when sick (aOR, 1.32; 95% CI, 1.14 to 1.54). About 59% of variance in successful attempts to quit smoking could be explained using a model consisting of those variables.

Conclusions:

Female sex, being divorced, not chewing tobacco, and nicotine dependence increased the odds of quitting smoking and were associated with quitting smoking successfully. Regular and integrated attempts to quit smoking based on individuals’ internal characteristics, tobacco use activity, and smoking behavior are needed to quit smoking.

Smokers with insomnia symptoms are less likely to stop smoking

OBJECTIVES

Smoking is associated with sleep disturbances. The aim of this study was to analyze whether sleep disturbances are predictors of smoking cessation and whether continued smoking is associated with the development of sleep disturbances.

METHODS

A questionnaire was sent to randomly selected men and women in Northern Europe in 1999-2001 (RHINE II) and was followed up by a questionnaire in 2010-2012 (RHINE III). The study population consisted of 2568 participants who were smokers at baseline and provided data on smoking at follow-up. Insomnia symptoms were defined as having difficulty initiating and/or maintaining sleep and/or early morning awakening ≥3 nights/week. Multiple logistic regression analyses were performed to calculate odds ratios (OR).

RESULTS

Subjects with difficulty initiating sleep (adjusted odds ratio; 95% confidence interval: 0.6; 0.4-0.8), difficulty maintaining sleep (0.7; 0.5-0.9), early morning awakening (0.6; 0.4-0.8), any insomnia symptom (0.6; 0.5-0.8) or excessive daytime sleepiness (0.7; 0.5-0.8) were less likely to achieve long-term smoking cessation after adjustment for age, BMI, pack-years, hypertension, diabetes, chronic bronchitis, rhinitis, asthma, gender and BMI difference. There was no significant association between snoring and smoking cessation. In subjects without sleep disturbance at baseline, continued smoking increased the risk of developing difficulty initiating sleep during the follow-up period compared with those that had quit smoking (adj. OR 1.7, 95% CI 1.2-2.3).

CONCLUSIONS

Insomnia symptoms and excessive daytime sleepiness negatively predict smoking cessation. Smoking is a risk factor for the development of difficulty initiating sleep. Treatment for sleep disturbances should be included in smoking-cessation programs.

Clinical, sociodemographic and tobacco-use factors associated with smoking cessation rates at three years follow-up, Ankara, Turkey

INTRODUCTION

Smoking is a well-known major cause of early preventable mortality and morbidity. Maintenance of smoke-free status is important after a smoking cessation attempt. The present study aims to compare the sociodemographic and clinical characteristics of subjects participating in a smoking-cessation program, according to the duration of smoking cessation.

METHODS

A study was conducted in 261 smokers who had attended a smoking cessation clinic in a tertiary hospital, in Ankara, Turkey. The smoking status of the subjects at three years follow-up after participating in the smoking-cessation program was assessed. Sociodemographic, employment, environmental, smoking-related, health and clinical characteristics of subjects were compared according to the smoking cessation duration.

RESULTS

Marital status, having a child, absence of household smoking and lower levels of nicotine dependence were significantly higher in quitters, and anxiety was lower. Parameters that significantly differed between subjects that were and were not abstinent for >36 months were marital status (p<0.001), childbearing status (p=0.007), household smoking (p<0.001), age of smoking initiation (p=0.02), psychiatric illness history (p=0.01), and number of follow-up visits (p<0.001). The number of follow-up visits at the smoking cessation clinic was an important factor of quitting and maintenance of quit status.

CONCLUSIONS

Family and home environment as well as smoking-related and mental health characteristics influenced maintenance of long-term smoking cessation. Characteristics such as sociodemographic, clinical and smoking-related conditions should be considered in smoking cessation interventions. Personalized treatment strategies and follow-up visits at the smoking cessation clinic should be planned for maintenance of smoking cessation.

Factors associated with quit attempts and smoking cessation in Brazil: findings from the International Tobacco Control Brazil Survey

OBJECTIVES

This study aimed to identify factors associated with attempting to quit and successful smoking cessation in a population-based sample of Brazilian smokers.

STUDY DESIGN

This is a prospective cohort study.

METHODS

Data came from the first two waves of the International Tobacco Control Brazil Survey, conducted in 2009 and 2012/2013 in three cities: Rio de Janeiro, São Paulo, and Porto Alegre. Data were collected from 488 adults (aged ≥18 years) who smoked at Wave 1 and who were resurveyed at Wave 2. Crude and adjusted relative risks for two outcomes (making a quit attempt between Wave 1 and Wave 2 and successfully quitting by Wave 2) were estimated. Multivariable multilevel logistic regression models were used, whereby variables were added to the models in a series of blocks.

RESULTS

Nearly two-thirds (65.6%) of smokers attempted to quit between waves, and 23.4% had quit at Wave 2. Intention to quit smoking at Wave 1 was the only variable associated with attempt to quit by Wave 2 (odds ratio [OR] = 2.85; 95% confidence interval [CI] 1.64-4.94; P < 0.001). Smokers of higher socio-economic status (OR high versus low = 1.80; 95% CI 1.05-3.10; P = 0.03) and lower nicotine dependence (OR low Heaviness of Smoking Index [HSI] versus high HSI = 1.94; 95% CI 1.10-3.43; P = 0.02) were more likely to successfully quit. The presence of another adult smoker at home was negatively related to successful quitting (OR = 0.50; 95% CI 0.26-0.94; P = 0.03).

CONCLUSIONS

These results are generally consistent with prior research and have potential to inform governmental interventions to promote tobacco cessation, particularly among disadvantaged groups.

Correlates of attempting to quit smoking among adults in Bangladesh

Background

Quit attempts are very essential in population-based smoking cessation. Little is known about the correlates of making a quit attempt of smoking in Bangladesh. We aimed to examine correlates of making a quit attempt of smoking among adults in Bangladesh.

Methods

We used data from the 2009 Global Adult Tobacco Survey, Bangladesh. A total of 2217 adult current smokers (2141 males and 76 females) aged 15 years and older who participated in the survey were included. We compared socio-demographic, behavioral, motivational, knowledge and attitudes towards smoking, quitting methods utilized, use of social media to quit smoking, and environmental characteristics of current smokers who made an attempt to quit with those who made no quit attempt during the previous 12 months of the survey. We applied multivariable logistic regression models for analyzing the data.

Results

Among the 2217 current smokers, 1058 (47.72%) made attempt to quit. We found respondents who smoked their first cigarette within 6 to 30 min of waking up were more likely to make an attempt to quit than those who smoked their first cigarette within 5 min of waking. Moreover, among daily current smokers who smoked 10–19 manufactured cigarettes per day were less likely to make a quit attempt. We also found intention to quit smoking, smoking rules inside the home, and exposure to anti-smoking advertisements as significant correlates of making a quit attempt of smoking among adults in Bangladesh.

Conclusions

Policymakers should consider our findings when implementing tobacco control programs in Bangladesh.

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Quit attempts are very essential in population-based smoking cessation.

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Among the 2233 current smokers, 1058 individuals attempted to quit smoking.

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Smokers who don't smoke quickly after waking were more likely to make quit attempt.

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Smokers who lived in a smoke-free home were also more likely to make quit attempt.

Correlates of unsuccessful smoking cessation among adults in Bangladesh

Having 21.9 million adult smokers, Bangladesh ranks among the top ten heaviest smoking countries in the world. Correlates of unsuccessful smoking cessation remain unknown. We aimed to identify the correlates of unsuccessful smoking cessation among adults in Bangladesh.

We used data from the 2009 Global Adult Tobacco Survey (GATS) for Bangladesh. We compared socio-demographic, belief about health effect of smoking, and environmental characteristics of current smokers who had a recent failed quit attempt during the past 12 months of the survey (unsuccessful quitters) with those former smokers who had quit ≥ 12 months earlier of the survey and had not relapsed (successful quitters). Data were analyzed using logistic regression model and generalized estimating equations.

A total of 1552 smokers (1058 unsuccessful quitters and 494 successful quitters) aged 15 years and older who participated in the survey was included in this study. Among the smokers, 1058 (68%) were unsuccessful quitters. Our analysis showed that older aged, female, and higher educated smokers were less likely to quit unsuccessfully. Moreover, who believed that smoking causes serious illness were also less likely to quit unsuccessfully. For the interaction between place of residence and smoking rules inside home, we found that among the smoker's, in those house smoking was allowed, and who lived in urban place were less likely to be unsuccessful in quitting than those who lived in rural place.

Our findings suggest a cessation program that requires integrated approach with a view to considering these findings in setting up.

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The interaction effects for smoking cessation has been rarely investigated.

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Almost 70% of adult smokers were unsuccessful quitters.

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Older aged, female, and educated smokers were less likely to quit unsuccessfully.

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Belief about harmful effect of smoking associated with unsuccessful smoking cessation

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Interaction between smoking rules inside home and place of residence was observed.

Tobacco control environment: cross-sectional survey of policy implementation, social unacceptability, knowledge of tobacco health harms and relationship to quit ratio in 17 low-income, middle-income and high-income countries

OBJECTIVES

This study examines in a cross-sectional study 'the tobacco control environment' including tobacco policy implementation and its association with quit ratio.

SETTING

545 communities from 17 high-income, upper-middle, low-middle and low-income countries (HIC, UMIC, LMIC, LIC) involved in the Environmental Profile of a Community's Health (EPOCH) study from 2009 to 2014.

PARTICIPANTS

Community audits and surveys of adults (35-70 years, n=12 953).

PRIMARY AND SECONDARY OUTCOME MEASURES

Summary scores of tobacco policy implementation (cost and availability of cigarettes, tobacco advertising, antismoking signage), social unacceptability and knowledge were associated with quit ratios (former vs ever smokers) using multilevel logistic regression models.

RESULTS

Average tobacco control policy score was greater in communities from HIC. Overall 56.1% (306/545) of communities had >2 outlets selling cigarettes and in 28.6% (154/539) there was access to cheap cigarettes (<5cents/cigarette) (3.2% (3/93) in HIC, 0% UMIC, 52.6% (90/171) LMIC and 40.4% (61/151) in LIC). Effective bans (no tobacco advertisements) were in 63.0% (341/541) of communities (81.7% HIC, 52.8% UMIC, 65.1% LMIC and 57.6% LIC). In 70.4% (379/538) of communities, >80% of participants disapproved youth smoking (95.7% HIC, 57.6% UMIC, 76.3% LMIC and 58.9% LIC). The average knowledge score was >80% in 48.4% of communities (94.6% HIC, 53.6% UMIC, 31.8% LMIC and 35.1% LIC). Summary scores of policy implementation, social unacceptability and knowledge were positively and significantly associated with quit ratio and the associations varied by gender, for example, communities in the highest quintile of the combined scores had 5.0 times the quit ratio in men (Odds ratio (OR) 5·0, 95% CI 3.4 to 7.4) and 4.1 times the quit ratio in women (OR 4.1, 95% CI 2.4 to 7.1).

CONCLUSIONS

This study suggests that more focus is needed on ensuring the tobacco control policy is actually implemented, particularly in LMICs. The gender-related differences in associations of policy, social unacceptability and knowledge suggest that different strategies to promoting quitting may need to be implemented in men compared to women.

Differential prevalence of established risk factors for poor cessation outcomes among smokers by level of social anxiety

BACKGROUND AND OBJECTIVES

Despite clear associations between social anxiety (SA), high prevalence of smoking, and cessation failure, little is known about factors contributing to these relationships. Moreover, the extent to which smokers with moderate SA represent an at-risk group of smokers is also unknown. This study examined the extent to which established risk factors for poor cessation (eg, sociodemographic, smoking history, mental health comorbidity) are prevalent among smokers with low, moderate, and high levels of SA.

METHODS

Participants (N = 2,637) were adult smokers from a web-based smoking cessation trial. Nineteen characteristics considered risk factors for poor cessation outcomes were assessed at baseline. Those associated with social anxiety were subsequently compared by SA level.

RESULTS

Regression models indicated that 10/19 risk factors were associated with SA. Compared to smokers with low SA, those with moderate and high SA endorsed 4/10 and 10/10 risk factors as more prevalent or severe, respectively. Compared to smokers with low SA, High SA was associated with greater sociodemographic risk factors, while both moderate and high SA was associated with more severe mental health symptoms.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

Smokers with moderate and high levels of SA endorse more risk factors for poor cessation outcomes than those with low levels of SA, particularly mental health symptoms. These factors may help explain the differential smoking outcomes of socially anxious smokers. Results suggest that smokers with both moderate and high levels of SA would likely benefit from cessation interventions that address and consider these risk factors. (Am J Addict 2017;26:176-182).

Smoking Patterns and Smoking Cessation Willingness-A Study among Beneficiaries of Government Welfare Assistance in Poland

This study examines the prevalence and tobacco use patterns among adult social assistance beneficiaries and their interest in quitting. The results are based on data collected in a cross-sectional survey conducted among adults in the Piotrkowski district. A sample of 3636 social assistance beneficiaries produced a total of 1817 respondents who completed face-to-face questionnaires. Overall, 37.1% of the respondents, including 52.8% men and 29.6% women, were current smokers. Over one third of the smokers reported their willingness to quit. In the study population, several characteristics were significantly associated with the current daily smoking: male gender, low educational attainment, unemployment or temporary employment, lack of awareness of smoking-associated health risks, use of e-cigarettes, and exposure to environmental tobacco smoke (ETS). The intention to quit smoking among the daily smokers was positively correlated with their awareness of smoking-associated health risks, lack of previous quit attempts, and low exposure to ETS. Smoking prevalence among social assistance recipients tends to be higher than in the general population, but more than half of the smokers are willing to quit. There is an urgency to develop policies tailored to the needs of these disadvantaged population groups.

Current and past smoking patterns in a Central European urban population: a cross-sectional study in a high-burden country

BACKGROUND

Many studies have examined the socioeconomic variations in smoking and quitting rates across the European region; however, data from Central and East European countries, where the tobacco burden is especially high, are sparse. This study aimed to assess the patterns in current and past smoking prevalence based on cross-sectional data from a Central European urban population sample.

METHODS

Data from 2160 respondents aged 25-64 years in Brno, Czech Republic were collected in 2013-2014 using the Czech post-MONICA survey questionnaire to assess the prevalence of cardiovascular risk factors, including smoking status. The age- and sex-stratified randomized sample was drawn using health insurance registries. Descriptive statistics and quit ratios were calculated, and chi-square and multivariate logistic analyses conducted to examine relationships between current and past smoking and demographic (age, gender, marital status) and socioeconomic variables (education, income, occupation).

RESULTS

The prevalence of current and past smoking was 23.6 and 31.3 % among men and 20.5 and 23.2 % among women, respectively. Education reliably predicted smoking and quitting rates in both genders. Among men, being unemployed was associated with greater odds of smoking (OR 3.6; 1.6-8.1) and lower likelihood of quitting (OR 0.2: 0.1-0.6); the likelihood of quitting also increased with age (OR 1.8; 1.2-2.8). Among women, marital status (being married) decreased the odds of current smoking (OR 0.6; 0.4-0.9) and increased the odds of quitting (OR 2.2; 1.2-3.9). Quit ratios were the lowest in the youngest age group (25-34 years) where quitting was more strongly associated with middle income (OR 2.7; 95 % CI 1.2-5.9) than with higher education (OR 2.9; 95 % CI 0.9-8.2).

CONCLUSIONS

Interventions to increase cessation rates and reduce smoking prevalence need to be gender-specific and carefully tailored to the needs of the disadvantaged groups of the population, especially the less well-off young adults. Future studies should examine the equity impact of the tobacco control policies and be inclusive of the Central and East European countries.

Correlates of the Use of Different Tobacco Cessation Methods by Smokers and Smokeless Tobacco Users According to Their Socio-Demographic Characteristics: Global Adult Tobacco Survey (GATS) India 2009-10

BACKGROUND

Tobacco control has two aspects. One involves preventing non-tobacco users from using tobacco and the second involves tobacco cessation (quitting) by existing tobacco users. There are various methods of tobacco cessation. Pharmacotherapy [e.g., nicotine replacement therapy (NRT) and medications such as bupropion] and behavioral counselling are some of the internationally approved methods of tobacco cessation.

OBJECTIVE

This paper intends to study how age, gender, residence (rural/urban), education, and occupation influence the use of various tobacco cessation methods by smokers and smokeless tobacco users.

MATERIALS AND METHODS

The study was a cross-sectional secondary data analysis of the Global Adult Tobacco Survey (GATS) India 2009-2010. There were 3725 smokers and 6354 smokeless tobacco users included in the study who made attempts to quit in the 12 months prior to the survey by use of different cessation methods (NRT, drugs such as bupropion, counselling, and other methods).

RESULTS

A significant association was demonstrated between increasing educational attainment and use of cessation methods for all the methods among smokers. Being employed (Govt. or non-Govt.) was positively associated with the use of NRT as a cessation method by smokers. Students and homemakers had higher odds of using pharmacotherapy methods among smokers. A significant association was demonstrated for the gender and age of tobacco users with the use of counselling as a cessation method among smokeless tobacco users.

CONCLUSION

The findings of this study have important implications for tobacco cessation service providers in view of supporting their decision of choosing a particular tobacco cessation method for tobacco users according to certain kinds of sociodemographic characteristics.

Socioeconomic Inequalities in Smoking and Smoking Cessation Due to a Smoking Ban: General Population-Based Cross-Sectional Study in Luxembourg

This study aimed to measure changes in socioeconomic inequalities in smoking and smoking cessation due to the 2006 smoking ban in Luxembourg. Data were derived from the PSELL3/EU-SILC (Panel Socio-Economique Liewen Zu Letzebuerg/European Union--Statistic on Income and Living Conditions) survey, which was a representative survey of the general population aged ≥16 years conducted in Luxembourg in 2005, 2007, and 2008. Smoking prevalence and smoking cessation due to the 2006 smoking ban were used as the main smoking outcomes. Two inequality measures were calculated to assess the magnitude and temporal trends of socioeconomic inequalities in smoking: the prevalence ratio and the disparity index. Smoking cessation due to the smoking ban was considered as a positive outcome. Three multiple logistic regression models were used to assess social inequalities in smoking cessation due to the 2006 smoking ban. Education level, income, and employment status served as proxies for socioeconomic status. The prevalence of smoking decreased by 22.5% between 2005 and 2008 (from 23.1% in 2005 to 17.9% in 2008), but socioeconomic inequalities in smoking persisted. Smoking prevalence decreased by 24.2% and 20.2% in men and women, respectively; this difference was not statistically significant. Smoking cessation in daily smokers due to the 2006 smoking ban was associated with education level, employment status, and income, with higher percentages of quitters among those with a lower socioeconomic status. The decrease in smoking prevalence after the 2006 law was also associated with a reduction in socioeconomic inequalities, including differences in education level, income, and employment status. Although the smoking ban contributed to a reduction of such inequalities, they still persist, indicating the need for a more targeted approach of smoke-free policies directed toward lower socioeconomic groups.

Multicentric randomized clinical trial to evaluate the long-term effectiveness of a motivational intervention against smoking, based on the information obtained from spirometry in primary care: the RESET study protocol

Background

Spirometry is the recommended method of evaluating pulmonary function when respiratory disease is suspected in smokers. Nonetheless, no evidence exists of the usefulness of information obtained from this test as a motivational strategy for smoking cessation. The primary objective of this study is to evaluate the effectiveness of a motivational intervention based on spirometry results in achieving long-term smoking cessation.

Methods/Design

We propose a multicenter randomized clinical trial in the primary care setting. Study subjects: We will recruit active smokers of both sexes, aged 35-70 years, with a cumulated smoking habit exceeding 10 packs/year and who consult for any reason with their primary care physician in the 20 health centers in the province of Tarragona (Spain). Patients with a history of lung disease or who have undergone exploratory measures of pulmonary function in the preceding 12 months will be excluded. All patients who agree to participate will provide signed informed consent prior to their inclusion. A total of 1000 smokers will be consecutively randomized to a control or intervention group (1:1). Intervention: Participants in both groups will receive brief (5-minute) health counseling, in accordance with usual clinical practice. In a consultation lasting about 15 minutes, participants in the intervention group will also receive detailed, personalized information about the results of a spirometry test and about their lung age compared with their chronological age. Both groups will be followed up for 12 months. Main variables and analysis: The main variable will be sustained smoking abstinence at 12 months after the intervention, as confirmed by CO breath testing and urine cotinine test. Results will be analyzed based on intention to treat, using the chi-square test and logistical regression if necessary to adjust for confounding variables.

Discussion

We expect the rate of prolonged smoking abstinence in the intervention group will be at least 5 % higher than in the control group. If this strategy proves effective, it could easily be included in the health promotion activities offered in primary care settings.

Trial registration

ClinicalTrials.gov Identifier: NCT02153047. Registered on 28/05/2014

Patterns of nicotine dependence in four Eastern European countries

BACKGROUND

Evidence of patterns of nicotine dependence, although crucial for developing and implementing effective tobacco control strategies, is limited in the Eastern European countries. The purpose of this study was to evaluate the correlates of high nicotine dependence among adults in Poland, Romania, the Russian Federation and Ukraine.

METHODS

The data used in the current analysis is available from the Global Adult Tobacco Survey (2009-2011). Nicotine dependence was assessed using the Heaviness of Smoking Index (HSI), which covers two measures: reported cigarettes smoked per day and time to the first cigarette upon waking. Based on a six-point scale of HSI, nicotine dependence was categorized into low to moderate (score 0-3), and high dependence (score 4-6). Out of 31,936 completed interviews, we used data from 8229 daily smokers.

RESULTS

The study results indicate that more than 25 % of daily smokers were highly dependent on nicotine. Higher odds of high nicotine dependence were identified for males (OR = 1.5 in Poland and Romania, OR = 2.7 in Russia; p ≤ 0.001), people between 50-59 years of age (the highest odds in Romania; OR = 4.8; p ≤ 0.001) and those who had started smoking at a young age (the highest odds in Romania, OR = 5.0; p ≤ 0.001). Having fewer restrictions on smoking at home was significantly associated with a high level of nicotine dependence (the highest odds in Romania, OR = 3.0; p ≤ 0.001). A high proportion of the participants had no interest in quitting smoking, with a statistically significantly higher percentage observed among smokers highly dependent on nicotine compared to the less addicted (p ≤ 0.01).

CONCLUSIONS

Smokers highly dependent on nicotine constitute a quarter of the Romanian group of daily smokers and even more in the remaining three analyzed countries. Similar patterns of nicotine dependence were observed in all of the investigated countries showing that male gender, younger age at the smoking onset, and fewer restrictions on smoking at home were significantly associated with higher nicotine dependence. The study highlighted the fact that a high proportion of the participants had no interest in quitting smoking. These results underscore importance of policy measures as well as prevention and cessation interventions for smokers who are highly dependent on nicotine, which need to take into account the social gradient in smoking patterns.

Trends and socioeconomic differences in policy triggers for thinking about quitting smoking: Findings from the International Tobacco Control (ITC) Europe Surveys

INTRODUCTION

The aim of the current study is to investigate trends and socioeconomic differences in policy triggers for thinking about quitting in six European countries.

METHODS

Data were derived from all available survey waves of the International Tobacco Control (ITC) Europe Surveys (2003-2013). France conducted three survey waves (n=1420-1735), Germany three waves (n=515-1515), The Netherlands seven waves (n=1420-1668), Ireland three waves (n=582-1071), Scotland two waves (n=461-507), and the rest of the United Kingdom conducted seven survey waves (n=861-1737). Smokers were asked whether four different policies (cigarette price, smoking restrictions in public places, free or lower cost medication, and warning labels on cigarette packs) influenced them to think about quitting. Generalized Estimating Equation (GEE) models were estimated for each country.

RESULTS

Cigarette price was mentioned most often in all countries and across all waves as trigger for thinking about quitting. Mentioning cigarette price and warning labels increased after the implementation of price increases and warning labels in some countries, while mentioning smoking restrictions decreased after their implementation in four countries. All studied policy triggers were mentioned more often by smokers with low and/or moderate education and income than smokers with high education and income. The education and income differences did not change significantly over time for most policies and in most countries.

CONCLUSIONS

Tobacco control policies work as a trigger to increase thoughts about quitting, particularly in smokers with low education and low income and therefore have the potential to reduce health inequalities in smoking.

Diabetes mellitus and treatment outcomes in Palestine refugees in UNRWA primary health care clinics in Jordan

SETTING

Six primary health care clinics in Jordan, serving Palestine refugees diagnosed with diabetes mellitus (DM).

OBJECTIVES

To report on the number and characteristics of new DM patients registered in the second quarter of 2013 and of all DM patients ever registered by 30 June 2013, with treatment outcomes and cumulative burden of late-stage complications.

DESIGN

A descriptive cohort study using routine data collected through e-Health.

RESULTS

Of the 288 new patients in Q2 2013 and 12 548 patients ever registered with DM by 30 June 2013, smoking, physical inactivity and obesity were recorded in 19%, 50% and 47%, respectively. In Q2 2013, 9740 (78%) patients attended a clinic, with >99% having undergone disease control measures: of these, 72% had postprandial blood glucose ⩽ 180 mg/dl, 71% had blood cholesterol < 200 mg/dl, 82% had blood pressure < 140/90 and 40% had body mass index < 30 kg/m(2). Late-stage complications were present in 1130 (11.6%) patients who attended a clinic, with cardiovascular disease and stroke being the most common. Several differences in outcomes were found between males and females.

CONCLUSION

There is a high burden of disease due to DM at primary health care clinics in Jordan. Cohort analysis using e-Health is a vital way to assess management and follow-up.

What distinguishes successful from unsuccessful tobacco smoking cessation? Data from a study of young adults (TEMPO)

INTRODUCTION

Smoking prevalence rates among young people are high in many countries. Although attempts to quit smoking increasingly occur in young adulthood, many former smokers relapse. We compared individuals who successfully quit smoking from those who relapsed on socio-demographic, psychological and health factors.

METHODS

Data come from telephone interviews conducted in 2011 with participants of the TEMPO community-based study (ages 18-37 years, France). To study the likelihood of successful cessation vs. smoking relapse, we restricted the study sample to current or former smokers (n = 600) and conducted multinomial logistic regression analyses.

RESULTS

43% of participants were current smokers who never quit for an extended period and, 33% former smokers and 24% current smokers who relapsed after extended cessation. In multivariate analyses female sex, parental status and illegal drug use were associated with both successful and unsuccessful smoking cessation. Factors specifically associated with a low probability of smoking cessation were job strain and symptoms of hyperactivity/inattention, while occupational grade was associated with smoking relapse.

CONCLUSIONS

Work and family circumstances, co-occurring substance use and psychological difficulties may influence smoking cessation in young adults. These characteristics should be considered by individual and collective interventions aiming to help young smokers quit successfully.

Biomarkers of Response to Smoking Cessation Pharmacotherapies: Progress to Date

For the past 30 years, research examining predictors of successful smoking cessation treatment response has focused primarily on clinical variables, such as levels of tobacco dependence, craving, and self-efficacy. However, recent research has begun to determine biomarkers (such as genotype, nicotine and metabolite levels, and brain imaging findings) that may have utility in predicting smoking cessation. For genotype, genes associated with nicotinic acetylcholine receptors (nAChRs) and related proteins have been found to predict response to first-line medications (e.g. nicotine replacement therapy [NRT], bupropion, or varenicline) or quitting over time without a controlled treatment trial. For nicotine and metabolite levels, function of the cytochrome P450 2A6 liver enzyme, which can be assessed with the nicotine metabolite ratio or via genotype, has been found to predict response, with slow nicotine metabolizers having less severe nicotine dependence and a greater likelihood of quitting with NRT than normal metabolizers. For brain imaging, decreased activation of brain regions associated with emotion regulation and increased connectivity in emotion regulation networks, increased responsiveness to pleasant cues, and altered activation with the Stroop effect have been found in smokers who quit with the first-line medications listed above or counseling. In addition, our group recently demonstrated that lower pre-treatment brain nAChR density is associated with a greater chance of quitting smoking with NRT or placebo. Several of these studies found that specific biomarkers may provide additional information for predicting response beyond subjective symptom or rating scale measures, thereby giving an initial indication that biomarkers may, in the future, be useful for guiding smoking cessation treatment intensity, duration, and type.

Factors affecting the decision to quit smoking of the participants of a hospital-based smoking cessation program in Greece

INTRODUCTION

The purpose of this study was to investigate the factors that affect people who are in the process of quitting smoking.

METHODS

A randomly selected sample of 110 participants in a smoking cessation program (SCP) of a hospital in Thessaloniki Greece. Instruments of data collection were: i) the Demographic Data Lifestyle Questionnaire and ii) the Fragerstrom Tolerance Questionnaire. ANOVA tests between the Demographic Data Lifestyle Questionnaire and the Fagerstrom Tolerance Questionnaire relating to the smokers' determination to quit smoking applied.

RESULTS

Work satisfaction was related to whether the participants had difficulty to smoke in places that prohibited smoking and to how many cigarettes they smoked per day. If a non-smoker partner was urging the participant to quit smoking, it affected the hours of the day when the respondents smoked more cigarettes. Pressure from a non-smoking spouse was a deterrent from smoking many cigarettes during morning hours. Those participants who consumed alcohol smoked cigarettes containing higher levels of nicotine.

CONCLUSION

Smoking cessation is a difficult process which is influenced by many factors such as educational level, work satisfaction and the presence of a partner.

Early quit days among methadone-maintained smokers in a smoking cessation trial

INTRODUCTION

Methadone maintenance treatment (MMT) patients have an exceedingly high prevalence of tobacco use, and interventions that have been specifically developed for this vulnerable subpopulation have struggled to attain even modest rates of cessation. A significant barrier has been an inability to initiate a quit attempt early in the treatment process and adherence to treatment.

METHODS

This study examined the extent to which self-efficacy, medication adherence, and other demographic and smoking variables predicted an early quit day in a sample of MMT smokers (n = 315) enrolled in a smoking cessation pharmacotherapy trial. Using logistic regression, we estimated the association of having an early quit day-24hr without smoking during the first month of treatment.

RESULTS

Only 35.2% of participants reported a successful early quit day. The likelihood of an early quit day increased significantly (odds ratio [OR] = 1.39, 95% CI = 1.04-1.86, p < .05) with education level and if a quit attempt was made in the past year (OR = 2.27, 95% CI = 1.33-3.87, p < .01). Compared to the placebo arm, those randomized to either nicotine replacement therapy (OR = 3.25, 95% CI = 1.30-8.10, p < .01) or varenicline (OR = 3.16, 95% CI = 1.26-7.92) were significantly more likely to have an early quit day. The likelihood of an early quit day was also positively associated with adherence to the medication protocol (OR = 2.05, 95% CI = 1.52-2.76).

CONCLUSIONS

Difficulty in achieving an early quit attempt may help explain the very low cessation rates found in studies of MMT smokers.

Determinants of use of smoking cessation aids in 27 European countries

OBJECTIVE

To identify determinants of use of smoking cessation aids among current and former smokers in the European Union (EU).

METHODS

Data from n=9921 current and ex-smokers from 27 European countries (Eurobarometer 77.1, February-March 2012) were analysed. Multivariate binary logistic regression was used to assess for correlates of use of any recommended aid with proven efficacy, defined as use of pharmacotherapy or psychosocial counselling (p<0.05). The regression analyses assessed for socio-demographic characteristics, EU region, as well as scope of national smoking cessation policies.

RESULTS

Among current smokers who had made a quit attempt and ex-smokers, 19.9% had used any recommended aid with proven efficacy. Respondents from Northern (adjusted odds ratio [aOR]=1.90), Western (aOR=3.21) and Eastern Europe (aOR=1.69) were more likely to have used an efficacious smoking cessation aid compared to respondents from Southern Europe (all p<0.05). Respondents in countries with comprehensive tobacco cessation programmes that offered cost-covered national quit lines, medication, and other cessation services had increased likelihood of using efficacious cessation aids (OR=1.29; 95% Confidence Interval: 1.07-1.55).

CONCLUSIONS

These findings underscore the need for enhanced and sustained efforts to ensure increased access to cessation services and aids as part of a comprehensive tobacco control programme.

Correlates of cessation success among Romanian adults

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.

Use of flavoured cigarettes in Poland: data from the global adult tobacco survey (2009-2010)

Background

Nowadays the European Union faces a debate on the ban of sale of flavoured cigarettes. There is growing evidence that certain subgroups of smokers are more vulnerable to the use of flavoured cigarettes. However in some European countries, figures on the use of these cigarettes are still scarce. The aim of the study was to assess the prevalence of flavoured cigarettes use in Poland, and examine whether its use among adults varies by socio-demographic characteristics.

Methods

Data on tobacco use including flavoured cigarettes and other characteristics were derived from the Global Adult Tobacco Survey (GATS). GATS is a cross-sectional, household survey implemented in Poland between 2009 and 2010. GATS provided data on a representative sample of 7,840 individuals covering 2,254 current smokers. Logistic regression model was used to obtain odds ratios (ORs) and 95% confidence interval (CI) of the selected socio-economic variables on the use of flavoured cigarettes.

Results

Among females the aromatized cigarettes use was 26.1% compared to 10.5% in males (OR = 2.3; 95% CI: 1.62–3.2; p ≤ 0.001). Respondents aged 20–29 years had an increased likelihood of using flavoured cigarettes compared to subjects aged 60 years or older (OR = 2.7; 95% CI: 1.1–6.5; p ≤ 0.001). Respondents aware of negative health consequences of smoking had OR = 1.4 95% CI: 1.1–2.1 (p ≤ 0.05) of smoking aromatized cigarettes compared to those who were unaware. Participants who perceived some kinds of cigarettes less harmful than others were also more likely to use flavoured cigarettes compared to subjects who were convinced that all cigarettes are equally harmful (OR = 1.4; 95% CI: 1.1–1.8; p ≤ 0.01). High educational attainment, living in large cities, being non-economically active was also associated with use of flavoured cigarettes.

Conclusion

Our results are consistent with majority of epidemiology studies on this topic to date and should be considered in the enactment of tobacco control legislation at the national as well as European levels. For combating tobacco epidemic, further efforts need to be made to prevent smoking uptake. Ban of flavoured cigarettes could considerably support achieving this goal.

Correlates of tobacco quit attempts and cessation in the adult population of India: secondary analysis of the Global Adult Tobacco Survey, 2009-10

BACKGROUND

Nearly 275 million adults (15 years and above) use tobacco in India, which contributes substantially to potentially preventable morbidity and mortality. There is good evidence from developed country settings that use of tobacco cessation services influences intention to quit, with a higher proportion of attempts being successful in fully quitting. There is little evidence about cessation and quitting behaviour in the Indian context. This study assesses the socio-demographic characteristics and cessation services used by adults i) who attempted to quit smoked and smokeless tobacco and ii) who were successful in quitting.

METHODS

The study was a cross-sectional secondary data analysis of the Global Adult Tobacco Survey, India, 2009-10. There were 25,175 ever tobacco users aged 21 years and above included in the study. Bivariate and multivariate logistic regression analysis was done to determine associations between socio-demographic variables and cessation services utilized with attempts to quit tobacco and successful quitting.

RESULTS

Of the ever tobacco users, 10,513 (42%) made an attempt to quit tobacco, and of these 4,395 (42%) were successful. Significant associations were demonstrated between male gender, increasing educational attainment and higher asset quintiles for both those who attempted to quit and those who were successful. Younger age groups had higher odds of quit attempts than all except the oldest age group, but also had the lowest odds of successful quitting. Heath care provider advice was positively associated with attempts to quit, but both advice and use of cessation aids were not associated with successful quitting.

CONCLUSIONS

This study provides the first national evidence on the relationships between quitting attempts and successful quitting with socio-demographic characteristics, health care provider advice and use of cessation services. The findings of the study have important implications for scaling up tobacco cessation services in India, and indicate a need to re-examine in greater detail the effects of socio-demographic factors, type of tobacco product used and levels of dependency on quitting. Health system factors such as coverage and accessibility of cessation services, type of service, and its duration and follow up also have to be examined in detail to ascertain effects on quitting behavior.