Successful smoking cessation and duration of abstinence--an analysis of socioeconomic determinants

Concurrent E-cigarette Use While Enrolled in a Smoking Cessation Program: Associations Between Frequency of Use, Motives for Use, and Smoking Cessation

INTRODUCTION

Trial evidence suggests that e-cigarettes may aid in quitting smoking, while observational studies have found conflicting results. However, many observational studies have not adjusted for important differences between e-cigarette users and non-users.

AIMS AND METHODS

We aimed to determine the association between e-cigarette use frequency and motivation to use e-cigarettes to quit smoking, and smoking cessation using data from Canada's largest smoking cessation program. Participants who completed a baseline assessment and 6-month follow-up questionnaire were divided post hoc into four groups based on their self-reported e-cigarette use during the 30 days before baseline: (1) non-users; (2) users of e-cigarettes not containing nicotine; (3) occasional users; and (4) frequent users. Occasional and frequent users were further divided into two groups based on whether they reported using e-cigarettes to quit smoking. Abstinence at 6-month follow-up (7-day point prevalence abstinence) was compared among groups.

RESULTS

Adjusted quit probabilities were significantly higher (both p < .001) for frequent baseline e-cigarette users (31.6%; 95% CI = 29.3%, 33.8%) than for non-users (25.8%; 25.3% and 26.3%) or occasional users (24.2%; 22.5% and 26.0%). Unadjusted proportions favored non-users over occasional users (p < .001), but this was not significant after adjustment (p = .06). People using e-cigarettes to quit smoking were not likelier than other users to be successful, but were likelier to report frequent e-cigarette use during follow-up.

CONCLUSIONS

Frequent baseline e-cigarette use predicted successful smoking cessation, compared to occasional and non-users. Use of e-cigarettes to quit did not predict smoking cessation but was associated with continued use during follow-up, perhaps due in part to planned transitions to e-cigarettes.

IMPLICATIONS

Prior observational studies investigating e-cigarette use for smoking cessation have found that occasional users have poorer outcomes than either frequent or non-users. Consistent with these studies, occasional users in our data also had poorer outcomes. However, after adjustment for variables associated with cessation success, we found that cessation probabilities did not differ between occasional and non-users. These findings are consistent with trial data showing the benefit of e-cigarette use among people trying to quit smoking. Results of this study suggest that differences between trials and previous observational studies may be because of unaddressed confounding in the latter.

Smoking As an Outcome Moderator In the Treatment of Alcohol Use Disorders

AIMS

To clarify whether smoking interferes with successful treatment of alcohol use disorder (AUD).

METHODS

The current systematic review investigates the potential moderating effect of smoking on behavioural and pharmacological treatment of AUD. In addition, this review summarizes the results of randomized controlled trials investigating the effect of smoking cessation treatments in subjects with AUD on drinking outcomes.

RESULTS

Overall, the results show that 16 out of the 31 pharmacological and psychotherapeutic alcohol treatment studies showed that being a non-smoker or decreased tobacco consumption during AUD treatment is associated with beneficial drinking outcomes, including reduced drinking, later relapse and prolonged alcohol abstinence. As such, smoking predicts poorer drinking outcomes in alcohol treatments. In the stop-smoking studies in patients with AUD, reduced smoking had virtually no effect on drinking behaviours. The inverse association between smoking and drinking outcome observed here indicates that non-smokers may be more successful to attain alcohol abstinence than smokers do. However, this association does not imply per se that smoking triggers alcohol consumption, since it can also mean that alcohol consumption promotes smoking.

CONCLUSIONS

It is concluded that (continued) tobacco smoking may have a negative moderating effect on the treatment outcome of AUD treatments. To optimize treatment outcome of AUD one may consider informing and counselling patients with AUD about the risks of smoking for treatment outcomes and offering support for smoking cessation.

The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): Factors Related to Smoking Cessation

BACKGROUND

Smoking cessation is not an easy accomplishment. However, the benefits are several for those who do it, such as cardiovascular risk reduction 1 year after quitting smoking. This study aimed to verify the factors related to smoking cessation in civil servants of The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

METHODS

This study had a longitudinal design using data from a prospective cohort of civil servants (ELSA-Brasil). Our variable of interest was smoking cessation. The relationship between socio-demographic characteristics, job stress, health-related variables, legislation, and smoking cessation was analyzed by Cox proportional hazard models. The analyses were stratified by gender. Second-hand smoke exposure, age, education, excessive alcohol consumption, common mental disorder, and smoking control law were the variables considered in the final model.

RESULTS

Information of 2020 women and 2429 men was analyzed. Individuals without second-hand smoke exposure, with up to 49 years of age, with higher education, without excessive alcohol consumption, without common mental disorders, and who initiated smoking in 1989 or after the smoking control law had a higher risk of stopping smoking. The risks magnitudes were higher for women.

CONCLUSIONS

Our study reinforces the necessity of alcohol consumption regulation, the relevance of Public Health Policies, and the need for more smoking cessation measures focused on men, on people with mental disorders, alcoholism, and older adults. Also, our results did not show significant risks regarding the psychosocial working environment.

The social gradient in smoking: individual behaviour, norms and nicotine dependence in the later stages of the cigarette epidemic

The cigarette epidemic tends to develop in a similar pattern across diverse populations in different parts of the world. First, the prevalence of smoking increases, then it plateaus and finally it declines. The decline in smoking prevalence tends to be more pronounced in higher social strata. The later stages of the cigarette epidemic are characterized by emerging and persisting socioeconomic gradients in smoking. Due to its detrimental health consequences, smoking has been the subject of extensive research in a broad range of academic disciplines. I draw on literature from both the social and medical sciences in order to develop a model in which physiological nicotine dependence, individual smoking behaviour and norms surrounding smoking in the immediate social environment are related through reflexive processes. I argue that the emergence and persistence of social gradients in smoking at the later stages of the cigarette epidemic can be attributed to a combination of the pharmacological properties of nicotine, network homophily and the unequal distribution of material and non-material resources across social strata.

Reasons for and Scenarios Associated with Failure to Cease Smoking: Results from a Qualitative Study Among Polish Smokers Who Had Unsuccessfully Attempted to Quit

PURPOSE

Most smokers attempt to quit smoking, but few are successful. Data regarding the reasons for this relapse and the course of the relapse process may be helpful for determining efficient methods of smoking cessation. This study aimed to identify the causes of and scenarios associated with smoking relapse after effective smoking cessation.

PATIENTS AND METHODS

We conducted 20 semi-structured interviews with smokers who had previously unsuccessfully attempted to quit. The data underwent qualitative content analysis.

RESULTS

Three major themes were identified: reasons for smoking relapse; smoking relapse scenarios; and perception of the influence of personal environments, including family and physicians, on refraining from smoking after cessation. The first theme comprised the following subthemes: insufficient willpower and self-discipline, contact with smokers, exposure to stressful situations, lack of family support, weight gain, and insufficient improvement in one's mental and physical well-being. The second theme contained enjoyable social events, professional life, critical events, and encouragement to smoke from family members. The respondents frequently emphasized the large role of interaction with other smokers.

CONCLUSION

The predominant factors underlying smoking relapse include insufficient willpower and self-discipline and exposure to stress. The most frequent relapse scenario concerned experiencing negative or positive emotions when interacting with other smokers.

High Rates of Nicotine Use Relapse and Ulcer Development Following Roux-en-Y Gastric Bypass

PURPOSE

Given that smoking is known to contribute to gastrojejunal anastomotic (GJA) ulcers, cessation is recommended prior to laparoscopic Roux-en-Y gastric bypass (LRYGB). However, smoking relapse rates and the exact ulcer risk remain unknown. This study aimed to define smoking relapse, risk of GJA ulceration, and complications after LRYGB.

MATERIALS AND METHODS

We performed a retrospective cohort study of patients who underwent primary LRYGB during 2011-2015. Initially, three patient categories were identified: lifetime non-smokers, patients who were smoking during the initial visit at the bariatric clinic or within the prior year (recent smokers), and patients who had ceased smoking more than a year prior to their initial clinic visit (former smokers). Smoking relapse, GJA ulcer occurrences, reinterventions, and reoperations were recorded and compared.

RESULTS

A total of 766 patients were included in the analysis. After surgery, 53 (64.6%) recent smokers had resumed smoking. Out of these relapsed smokers, 51% developed GJA ulcers compared with 14.8% in non-relapsed recent smokers, 16.1% in former smokers, and 6% in lifetime nonsmokers (p < 0.001). Furthermore, relapsed smokers required more frequently endoscopic reinterventions (60.4%) compared with non-relapsed smokers (20.8%, p < 0.001), former smokers (20.7%, p < 0.001), and lifetime non-smokers (15.4%, p < 0.001). Additionally, relapsed smokers required a reoperation (18.9%) more often than non-relapsed recent smokers (5.7%, p < 0.001) and lifetime non-smokers (1.3%, p < 0.001).

CONCLUSION

Smokers relapse frequently after LRYGB, and the majority experience GJA complications. They should be counseled about this risk preoperatively and directed towards less ulcerogenic procedures when possible. Alternatively, longer periods of preoperative smoking abstinence might be needed.

Association Between Electronic Cigarette Use and Smoking Reduction in France

IMPORTANCE

The electronic cigarette (EC) has become popular among smokers who wish to reduce their tobacco use levels or quit smoking, but its effectiveness as a cessation aid is uncertain.

OBJECTIVE

To examine the association of regular EC use with the number of cigarettes smoked per day, smoking cessation among current smokers, and smoking relapse among former smokers.

DESIGN, SETTING, AND PARTICIPANTS

The CONSTANCES (Consultants des Centres d'Examens de Santé) cohort study, based in France, began recruiting participants January 6, 2012, and is currently ongoing. Participants were enrolled in CONSTANCES through 2015, and included 5400 smokers (mean [SD] follow-up of 23.4 [9.3] months) and 2025 former smokers (mean [SD] follow-up of 22.1 [8.6] months) at baseline who quit smoking in 2010, the year in which ECs were introduced in France, or afterward. Analyses were performed from February 8, 2017, to October 15, 2018.

MAIN OUTCOMES AND MEASURES

The association between EC use and the number of cigarettes smoked during follow-up was studied using mixed regression models. The likelihood of smoking cessation was studied using Poisson regression models with robust sandwich variance estimators. The association between EC use and smoking relapse among former smokers was studied using Cox proportional hazards regression models. All statistical analyses were adjusted for sociodemographic characteristics, duration of follow-up, and smoking characteristics.

RESULTS

Among the 5400 daily smokers (2906 women and 2494 men; mean [SD] age, 44.9 [12.4] years), regular EC use was associated with a significantly higher decrease in the number of cigarettes smoked per day compared with daily smokers who did not use ECs (-4.4 [95% CI, -4.8 to -3.9] vs -2.7 [95% CI, -3.1 to -2.4]), as well as a higher adjusted relative risk of smoking cessation (1.67; 95% CI, 1.51-1.84]). At the same time, among the 2025 former smokers (1004 women and 1021 men; mean [SD] age, 43.6 [12.1] years), EC use was associated with an increase in the rate of smoking relapse among former smokers (adjusted hazard ratio, 1.70; 95% CI, 1.25-2.30).

CONCLUSIONS AND RELEVANCE

This study's findings suggest that, among adult smokers, EC use appears to be associated with a decrease in smoking level and an increase in smoking cessation attempts but also with an increase in the level of smoking relapse in the general population after approximately 2 years of follow-up.

A 10-year observational study on the trends and determinants of smoking status

INTRODUCTION

Most studies on motivation and intention to quit smoking have been conducted among adolescents and young adults but little is known regarding middle-aged subjects. We aimed to assess the trends and determinants of smoking status in a population-based cohort.

METHOD

Observational, prospective study with a first mean follow-up at 5.6 years and a second at 10.9 years. Data from 3999 participants (49.2% women, aged 35-75 years) living in Lausanne (Switzerland).

RESULTS

Baseline prevalence of never, former and current smokers was 41.3, 34.3 and 24.3%, respectively. During the study period, more than 90% of never and former and almost 60% of current smokers at baseline retained their status after 10.9 years. Among 973 current smokers, 216 (22.2%) had quit for at least 5 years. Multivariable analysis showed increasing age to be positively associated with quitting (p-value for trend <0.001). Among 1373 former smokers, 149 (10.9%) had relapsed; increasing age (p-value for trend <0.001) was negatively associated and family history of lung disease was positively associated with relapse [OR and 95% CI: 1.53 (1.06-2.21)]. Among 1653 never smokers, 128 (7.7%) initiated smoking; Male gender [1.46 (1.01-2.12)] and living in coupled relationship [0.66 (0.45-0.97)] were associated with smoking initiation.

CONCLUSION

Most middle-aged never and former smokers did not change their status with time, while 22.2% of current smokers sustained quitting. This is encouraging and could be improved with adequate supportive methods. In comparison to available data, this study confirms the difficult task of identifying subjects at risk of a negative behavioral change.

Public smoking ban and socioeconomic inequalities in smoking prevalence and cessation: a cross-sectional population-based study in Geneva, Switzerland (1995-2014)

INTRODUCTION

Smoking bans were suggested to reduce smoking prevalence and increase quit ratio but their equity impact remains unclear. We aimed to characterise the socioeconomic status (SES)-related inequalities in smoking prevalence and quit ratio before and after the implementation of a public smoking ban.

METHODS

We included data from 17 544 participants in the population-based cross-sectional Bus Santé study in Geneva, Switzerland, between 1995 and 2014. We considered educational attainment (primary, secondary and tertiary) as a SES indicator. Outcomes were smoking prevalence (proportion of current smokers) and quit ratio (ex-smokers to ever-smokers ratio). We used segmented linear regression to assess the overall impact of smoking ban on outcome trends. We calculated the relative (RII) and slope (SII, absolute difference) indexes of inequality, quantifying disparities between educational groups in outcomes overall (1995-2014), before and after ban implementation (November 2009).

RESULTS

Least educated participants displayed higher smoking prevalence (RII=2.04, P<0.001; SII=0.15, P<0.001) and lower quit ratio (RII=0.73, P<0.001; SII=-0.18, P<0.001). As in other studies, smoking ban implementation coincided with a temporary reduction of smoking prevalence (P=0.003) and increase in quit ratio (P=0.02), with a progressive return to preban levels. Inequalities increased (P<0.05) in relative terms for smoking prevalence (RII_before=1.84, P<0.001 and RII_after=3.01, P<0.001) and absolute terms for both outcomes (smoking prevalence: SII_before=0.14, P<0.001 and SII_after=0.19, P<0.001; quit ratio: SII_before=-0.15, P<0.001 and SII_after=-0.27, P<0.001).

CONCLUSIONS

Implementation of a public smoking ban coincided with a short-lived decrease in smoking prevalence and increase in quit ratio but also with a widening in SES inequalities in smoking-related outcomes.

When smokers quit: exposure to nicotine and carcinogens persists from thirdhand smoke pollution

BACKGROUND

Over a 6-month period, we examined tobacco smoke pollutants (also known as thirdhand smoke, THS) that remained in the homes of former smokers and the exposure to these pollutants.

METHODS

90 smokers completed study measures at baseline (BL). Measures were repeated among verified quitters 1 week (W1), 1 month (M1), 3 months (M3) and 6 months (M6) following cessation. Measures were analysed for THS pollutants on household surfaces, fingers and in dust (ie, nicotine, tobacco-specific nitrosamines) and for urinary markers of exposure (ie, cotinine, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL)).

RESULTS

We observed significant short-term reduction of nicotine on surfaces (BL: 22.2 μg/m², W1: 10.8 μg/m²) and on fingers of non-smoking residents (BL: 29.1 ng/wipe, W1: 9.1 ng/wipe) without further significant changes. Concentrations of nicotine and nicotine-derived nitrosamine ketone (NNK) in dust did not change and remained near BL levels after cessation. Dust nicotine and NNK loadings significantly increased immediately following cessation (nicotine BL: 5.0 μg/m², W1: 9.3 μg/m²; NNK BL: 11.6 ng/m², W1: 36.3 ng/m²) before returning to and remaining at near BL levels. Cotinine and NNAL showed significant initial declines (cotinine BL: 4.6 ng/mL, W1: 1.3 ng/mL; NNAL BL: 10.0 pg/mL, W1: 4.2 pg/mL) without further significant changes.

CONCLUSIONS

Homes of smokers remained polluted with THS for up to 6 months after cessation. Residents continued to be exposed to THS toxicants that accumulated in settled house dust and on surfaces before smoking cessation. Further research is needed to better understand the consequences of continued THS exposure after cessation and the efforts necessary to remove THS.

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.

The influence of perceived neighborhood disorder on smoking cessation among urban safety net hospital patients

BACKGROUND

Although research has shown that objective neighborhood characteristics are associated with health behaviors including smoking, little is known about the influence of perceived neighborhood characteristics on a smoking cessation attempt.

METHODS

Participants (N=139) enrolled in a Dallas safety-net hospital smoking cessation program were followed from 1 week pre-quit through 4 weeks post-quit. Logistic regression analyses were conducted to evaluate the impact of perceived neighborhood order and disorder on the likelihood of achieving biochemically verified point prevalence and continuous smoking abstinence 4 weeks following a scheduled quit attempt. Analyses were adjusted for demographic characteristics, cigarettes per day, intervention group, and pharmacological treatment.

RESULTS

Participants were primarily non-White (72.7%) and female (56.8%) with a mean age of 52.5 (SD=3.7) years. Most reported an annual household income of ≤$25,000 (86.3%). Logistic regression analyses indicated that greater neighborhood physical (p=.048) and social order (p=.039) were associated with a greater likelihood of achieving point prevalence smoking abstinence at 4 weeks post-quit. Greater perceived physical (p=.035) and social disorder (p=.039) and total neighborhood disorder (p=.014), were associated with a reduced likelihood of achieving point prevalence abstinence. Social disorder (p=.040) was associated with a reduced likelihood of achieving continuous abstinence at 4 weeks post-quit, while social order (p=.020) was associated with an increased likelihood of continuous abstinence.

CONCLUSIONS

Perceptions of neighborhood order and disorder were associated with the likelihood of smoking cessation among socioeconomically disadvantaged smokers making a quit attempt. Findings highlight the need to address perceptions of the neighborhood environment among disadvantaged smokers seeking treatment.

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.

Tuberculosis in health care workers in Belarus

SETTING

Tuberculosis (TB), including drug-resistant TB, is a serious problem in Belarus.

OBJECTIVES

To determine the prevalence of TB among health care workers (HCWs) along with patient characteristics, treatment outcomes and drug resistance patterns between 2008 and 2012.

DESIGN

A retrospective national record review.

RESULTS

There were 116 HCWs with TB. Case notification rates were higher among HCWs than in the general population (349 vs. 40/100 000 in 2012). Most HCWs with TB were nurses (n = 46, 40%) or nurse assistants (n = 37, 32%), female (n = 100, 86%) and aged 25-44 years (n = 84, 72%). Most common places of work for HCWs with TB were multidrug-resistant (MDR-) and extensively drug-resistant (XDR-TB) wards (n = 23, 20%), general medical (n = 26, 22%) and non-medical (n = 34, 29%) departments. All HCWs had pulmonary TB, 107 (92%) had new TB and 103 (89%) had negative sputum smears. Of the 38 (33%) with culture and drug susceptibility testing (DST), 28 (74%) had MDR-/XDR-TB. In 109 HCWs evaluated for final treatment outcomes, 97 (89%) were successfully treated, and their results were not affected by DST status.

CONCLUSION

This study highlights the high prevalence of recorded TB in HCWs in TB health facilities in Belarus: there is a need to better understand and rectify this problem.

Factors Related to Relapse After 6 Months of Smoking Cessation Among Men in the Republic of Korea: A Cross-Sectional Study

We identified factors associated with relapse after 6 months of smoking cessation (late relapse) among males of the Republic of Korea. Of the 222,707 smokers who visited public health center-based smoking cessation clinics (SCCs) between January 1, 2009 and mid-December 2009, we included 1720 individuals who successfully completed a 6-month smoking cessation program at an SCC. These participants were selected via a random stratified sampling design and completed an SCC user satisfaction survey between December 31, 2009 and January 6, 2010. Multiple logistic regression was used to identify factors associated with late relapse, and path analysis was employed to explore relationships among these factors. The frequency of late relapse was 21.6% (n = 372). Residence in a metropolitan area, low socioeconomic status, and the use of nicotine replacement therapy (NRT) were associated with statistically significant increases in late relapse, whereas greater access to counseling and more satisfaction with the SCC were associated with reduced late relapse. The path analysis showed that a greater number of cigarettes smoked daily and a younger age at smoking initiation exerted significant indirect effects on late relapse when NRT was employed. Residence in a metropolitan area indirectly prevented late relapse as counseling frequency increased. NRT use, counseling frequency, and SCC user satisfaction were affected by both smoking behavior and socioeconomic status. Relapse prevention efforts should concentrate on increasing both counseling frequency and SCC user satisfaction. Future studies should focus on the effect of NRT on the maintenance of long-term cessation at the population level in real-world settings.

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.

The impact of tobacco control expenditures on smoking initiation and cessation

Between 1997 and 2007, smoking prevalence declined from 33% to 28% in Switzerland. Over the same period, funding for tobacco control activities significantly increased, resulting in the implementation of a large variety of national and regional interventions. In this paper, I exploit variation over time and across cantons of tobacco control expenditures to examine the impact of these policies on smoking decisions. I use retrospective smoking information from the Swiss Health Survey (2007) and find that tobacco control expenditures decreased the probability of smoking initiation among adolescents and young adults and increased cessation rates in the general population of smokers. I estimate that if funding had been kept at the 1997 level, there would have been 107,000 additional smokers in 2007.

Web-based survey on smoking cessation behaviors of current and former smokers in Japan

OBJECTIVE

To investigate the long term smoking cessation behaviors in a population of Japanese current smokers (CS) and former smokers (FS).

RESEARCH DESIGN AND METHODS

Retrospective survey of Japanese men and women ≥20 years of age who were CS (those who smoked any number of cigarettes at the time of the survey, 24-27 June 2013) or FS (those who had smoked any number of cigarettes in the past but did not consider themselves smokers at the time of the survey). CS/FS were selected from a prescreened source population recruited by online advertisement that was age- and gender-matched, to represent Japanese smokers. Clinical and socio-demographic characteristics and smoking/smoking cessation history were assessed through a web-based questionnaire.

MAIN OUTCOME MEASURES

MAIN OUTCOME MEASURES were number of past quit attempts and time to relapse; others included methods used to achieve smoking cessation, and reasons for wanting to quit.

RESULTS

Overall, 1261 Japanese subjects were surveyed (CS, n = 631; FS, n = 630). Nearly half (45.6%) of CS had never attempted to quit smoking. Of those who had attempted to quit smoking, one single quit attempt was the most common for both CS and FS (19.0 vs. 39.0%). Estimated median time to relapse was 105 days (FS and CS combined). Unaided smoking cessation was the most common method both for CS and FS (78.2 vs. 63.4%).

CONCLUSIONS

In our survey, >70% of smokers used unaided smoking cessation methods, which may have resulted in a lower success rate. Participants relapsed after a median of 105 days of abstinence (25% within 7 days; the remainder had resumed smoking after 1260 days). As with all surveys, recall bias may have influenced the results. Our observations could be combined with other data in health economic models of smoking cessation to identify appropriate measures to reduce the prevalence of smoking in Japan.

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.

[Smoking cessation and social deprivation]

Smoking is a major of public health policy issue; one in two lifelong smokers will die from a disease related to tobacco use. In France, smoking is responsible for more than 70,000 deaths every year. The benefits linked to stopping smoking include reduced mortality and morbidity related to the use of tobacco. Recent data show an increase in the prevalence of smoking in the lowest socioeconomic population. Tobacco control needs a better understanding of the determinants of smoking in this population, which are also factors in the failure of cessation attempts. Based on international literature, this review specifies the educational and socioeconomic factors involved in tobacco smoking and in the result of an attempt to quit. Its aim is to propose ways to improve the management of smoking cessation in a socially deprived population.

Predictors of success for smoking cessation at the workplace: a longitudinal study

BACKGROUND

The effectiveness of worksite interventions to reduce smoking is debatable.

OBJECTIVES

A comprehensive smoking cessation intervention was implemented in a community of more than 17,000 employees at three different health care companies. The primary endpoint was abstinence at 24 months (self-reported and confirmed by exhaled carbon monoxide ≤ 6 parts per million). Predictors of long-term abstinence were analysed by multivariable regression analysis.

METHODS

The study was designed as an investigator-initiated and investigator-driven, open, multicentre, cohort study; 887 smokers were enrolled in the programme. The intervention included intensive individual counselling as well as nicotine replacement and/or bupropion according to individual preferences. Re-interventions for relapse were offered during the 24-month follow-up.

RESULTS

The abstinence rate was 37% at 24 months and did not differ among the various medication groups (p > 0.05 for all). Predictors of successful cessation were higher age (odds ratio, OR 1.47, 95% confidence interval, CI 1.08-2.00, p < 0.01), breathlessness on exertion (OR 2.26, 95% CI 1.1-4.9, p = 0.03), and a higher educational level (OR 1.81, 95% CI 1.06-3.09, p = 0.03). Higher Fagerström (OR 0.76, 95% CI 0.59-0.97, p < 0.01) and craving scores (OR 0.75, 95% CI 0.63-0.89, p < 0.01), chronic sputum production (OR 0.52, 95% CI 0.31-0.87, p = 0.01) and use of antidepressants (OR 0.54, 95% CI 0.32-0.91, p = 0.02) were associated with ongoing smoking.

CONCLUSION

A comprehensive smoking cessation intervention at the workplace achieves high, stable, long-term abstinence rates. Elderly, well-educated employees with breathlessness on exertion have higher odds of quitting smoking. In contrast, those with high physical dependency and more intense craving, and those reporting use of antidepressant medication or sputum production have poorer chances to quit.

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.

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

Background

Expanding the information on determinants of smoking cessation is crucial for developing and implementing more effective tobacco control measures at the national as well as European levels. Data on smoking cessation and its social correlates among adults from middle-income countries of Central and Eastern Europe are still poorly reported in the literature. The aim of the study was to analyze the association of socio-demographic indicators with long term tobacco smoking cessation (quit smoking for at least one year prior to interview) among adults. Moreover, we evaluated motives for giving up smoking from former smokers.

Methods

Data on former as well as current smokers’ socio-demographic and smoking-related characteristics were derived from the Global Adult Tobacco Survey (GATS). GATS is a cross-sectional, nationally representative household survey implemented in Poland between 2009 and 2010. GATS collected data on a representative sample of 7,840 individuals including 1,206 individuals who met the criteria of long-term smoking cessation and 2,233 current smokers. Smoking cessation rate was calculated as the number of former smokers divided by the number of ever smokers. Logistic regression analyses were used to obtain odds ratios (ORs) and 95% confidence interval (CI) of the broad number of variables on successful cessation of smoking.

Results

Among females the quit rate was 30.4% compared to 37.9% in males (p < 0.01). Former smokers declared concerns about the health hazard of smoking (60.8%) and the high price of cigarettes (11.6%) as primary reasons for smoking cessation. Older age, high education attainment, awareness of smoking health consequences was associated with long-term quitting among both genders. Also employed males had over twice the probability of giving up smoking compared with unemployed, and being religious did not contribute to successful smoking cessation.

Conclusion

Results indicated that smoking cessation policies focused on younger age groups are vital for curbing tobacco epidemic in Poland and should become a public health main concern. There is also the need for interventions to raise awareness on smoking health risks and quitting benefits are crucial to increase cessation potential among adult smokers. Nevertheless further effort needs to be done to prevent smoking uptake.

Who tended to continue smoking after cancer diagnosis: the national health and nutrition examination survey 1999-2008

Background

It has been estimated that there are approximately 12 million cancer survivors in the United States. Continued smoking after a cancer diagnosis is linked to adverse effects among cancer survivors on overall survival, treatment effectiveness, and quality of life. Little is known about who is more likely to quit smoking after his/her cancer diagnosis. The objective of this study is to evaluate factors associated with smoking cessation in cancer survivors, which to date has not been well studied.

Method

The National Health and Nutrition Examination Survey (NHANES) 1999–2008 surveys were used in this study. A total of 2,374 cancer survivors aged 20 and over with valid smoking status in the NHANES 99–08 survey were included in this study. Among them, 566 cancer survivors who regularly smoked at the time of their cancer diagnosis were included in the analyses.

Results

Around 50.6% of cancer survivors smoked regularly prior to their cancer diagnosis and only 36.1% of them quit smoking after their cancer diagnosis. Racial disparity was observed in smoking cessation among cancer survivors. Hispanics (OR = 0.23, 95% CI = 0.10-0.57) were less likely to quit smoking than Whites after their cancer diagnosis.

Conclusion

Two-thirds of cancer survivors continued smoking after cancer diagnosis. Our study observed that the high risk group of continued smokers among cancer survivors is made up of those who are female, younger, Hispanic, with longer smoking history, underweight or with normal weight and without smoking-related cancer. These findings suggest that smoking cessation for cancer survivors should target on the high risk subgroups.

Struggling to make ends meet: exploring pathways to understand why smokers in financial difficulties are less likely to quit successfully

BACKGROUND

In high-income countries, those with low-to-middle incomes have been observing stagnating median wages and marginal improvements in their living standards. Smokers in financial difficulties appear to be less likely to quit smoking. Understanding the reasons for this is essential to intervening to improve cessation outcomes in this population, and reduce smoking-related health inequalities.

METHODS

We used longitudinal data from Waves 4 to 7 of the ITC Four Country Survey (ITC-4), and included those with data from at least two consecutive waves. Associations between financial difficulties and making a quit attempt, and quit success were analysed using generalised estimating equations, with adjustment for confounders. Mediation analysis was conducted to identify potential mediators of the observed effects of financial difficulties on cessation outcomes.

RESULTS

Having financial difficulties had little impact on making quit attempts (adjusted OR 0.84, 95% CI 0.70-1.01). Smokers with financial difficulties were substantially less likely to succeed at quitting (adjusted OR 0.55, 95% CI 0.39-0.76); an effect which was consistent over the survey years. Among the potential mediators examined, those relating to cognition of health-related and quality of life-related consequences of smoking were the most important mediators, though the proportion of the effect mediated by the largest mediator was small (6.8%).

CONCLUSION

Having financial difficulties remains an important barrier to smokers achieving quit success. This effect does not appear to be due to anticipated factors such as reduced use of cessation services or treatment. Further research is required to determine strong mediators of the financial difficulties effect on quit success and to tailor more effective cessation programmes.

Individual- and area-level unemployment influence smoking cessation among African Americans participating in a randomized clinical trial

African Americans suffer disproportionately from the adverse health consequences of smoking, and also report substantially lower socioeconomic status than Whites and other racial/ethnic groups in the U.S. Although socioeconomic disadvantage is known to have a negative influence on smoking cessation rates and overall health, little is known about the influence of socioeconomic status on smoking cessation specifically among African Americans. Thus, the purpose of the current study was to characterize the impact of several individual- and area-level indicators of socioeconomic status on smoking cessation among African Americans. Data were collected as part of a smoking cessation intervention study for African American smokers (N = 379) recruited from the Houston, Texas, metropolitan area, who participated in the study between 2005 and 2007. The separate and combined influences of individual-level (insurance status, unemployment, education, and income) and area-level (neighborhood unemployment, education, income, and poverty) indicators of socioeconomic status on continuous smoking abstinence were examined across time intervals using continuation ratio logit modeling. Individual-level analyses indicated that unemployment was significantly associated with reduced odds of smoking abstinence, while higher income was associated with greater odds of abstinence. However, only unemployment remained a significant predictor of abstinence when unemployment and income were included in the model together. Area-level analyses indicated that greater neighborhood unemployment and poverty were associated with reduced odds of smoking abstinence, while greater neighborhood education was associated with higher odds of abstinence. However, only neighborhood unemployment remained significantly associated with abstinence status when individual-level income and unemployment were included in the model. Overall, findings suggest that individual- and area-level unemployment have a negative impact on smoking cessation among African Americans. Addressing unemployment through public policy and within smoking cessation interventions, and providing smoking cessation treatment for the unemployed may have a beneficial impact on tobacco-related health disparities.