The Association of Peer Smoking Behavior and Social Support with Quit Success in Employees Who Participated in a Smoking Cessation Intervention at the Workplace

Effects of a supportive workplace environment on the success rate for smoking cessation camp

Background

This study was conducted to identify the success rate for smoking cessation over time after participation in a therapeutic smoking cessation camp, and to identify how participant characteristics, including a supportive workplace environment for smoking cessation (SWESC), affect the success rate for smoking cessation.

Methods

In all, 296 participants at smoking cessation camps in Ulsan between 2015 and 2020 were investigated. The success rates of smoking cessation after weeks 4, 6, 12, and 24 at camp were investigated. The participants were grouped as workers with an SWESC, and workers without an SWESC, and variables (age, education, household income, marital status, drinking, exercise, body mass index, morbidity, job, number of counseling sessions, cigarettes smoked per day and smoking initiation age) were investigated. Multiple logistic regression analysis was conducted at each time point. In addition, Cox regression analysis was performed to evaluate the variables affecting the success rate for smoking cessation over time.

Results

The smoking cessation success rate of workers with an SWESC at week 24 (90.7%) was higher than that for workers without an SWESC (60.5%). Multiple logistic regression was performed to determine the relationship between each variable and the success rates for smoking cessation at week 6, 12, and 24. SWESC was confirmed as significant (p < 0.05) variables for increased success rate for smoking cessation at all 3 time points. After adjusting for all variables, the Cox proportional hazards survival analysis showed a hazard ratio of 6.17 for SWESC (p < 0.001,; 95% confidence interval: 3.08-12.38).

Conclusions

At a professional treatment smoking cessation camp, participants with an SWESC showed a significantly higher success rate for smoking cessation. Supportive workplace environment for workers' health is expected to be an important factor for smoking cessation projects as well as other health promotion projects at workplace.

Baseline characteristics and the factors influencing successful smoking cessation: A comparison between a WeChat smoking cessation mini-program and an offline smoking cessation clinic

INTRODUCTION

Smoking cessation (SC) clinics are a professional SC services in China. However, studies comparing the characteristics and SC rates of smoking populations in SC clinics with those using mobile SC programs are limited. We compared smokers' characteristics, 3-month SC rates, and the factors influencing 3-month SC success, between a large hospital SC clinic and a WeChat SC mini-program.

METHODS

Between January and November 2021, 384 participants voluntarily enrolled in either the hospital SC clinic (Group A: n=243) or the WeChat SC mini-program (Group B: n=141). Both groups underwent a 3-month SC intervention, and their SC status was monitored at 24 hours, 1 week, 1 month, and 3 months after quitting. SC rate was defined as the self-reported rate of continuous SC.

RESULTS

The 3-month SC rate was higher in Group A (42.4%) than in Group B (24.8%). Participants with middle school education had a lower likelihood of SC success than those with primary school or lower (p=0.014). Employees in the enterprise/business/services industries were more likely to have SC success than farmers (p=0.013). Participants with SC difficulty scores of 0-60 were more successful than those with scores >60 (p=0.001, p=0.000, respectively). Participants who quit smoking due to their illness, or other reasons, had a higher likelihood of SC success than those who quit due to concerns about their own and their family's health (p=0.006, p=0.098, respectively). While the likelihood of SC success was lower in those who quit because of the influence of their environment than in those who quit due to concerns about their own and their family's health (p=0.057).

CONCLUSIONS

Both SC clinics and WeChat SC mini-programs achieved satisfactory SC rates. The high accessibility of mobile SC platforms, which save time spent on transportation and medical visits, renders them worth promoting and publicizing as additional SC options for smokers, particularly young smokers.

Environment and social support for smoking cessation among community smokers in Beijing, China

INTRODUCTION

This study investigated the relationship between environment support, social support and smoking cessation, to provide suggestions for the construction of environment and social support for tobacco control.

METHODS

This was a secondary analysis based on two cross-sectional surveys of adult smokers who participated in the six-month community smoking cessation intervention projects in Beijing. The study subjects were divided into a successful group (n=159) and an unsuccessful group (n=253). The status of the environment support, community tobacco exposure, and social support were compared between groups. A structural equation model (SEM) was established for Confirmatory Factor Analysis.

RESULTS

The univariate analysis showed that there were differences in smoking cessation outcomes among smokers with different home tobacco regulations, workplace tobacco regulations and number of smokers in the family. Differences in 6-month smoking reduction were also found with different promotion levels of anti-tobacco messaging and the frequency of smoking events at home. The logistic regression analysis indicated that home tobacco regulations (OR=1.30; 95% CI: 1.00-1.69), workplace tobacco regulations (OR=1.27; 95% CI: 1.05- 1.54), and frequency of smoking events at home (OR=1.15; 95% CI: 1.02-1.29), were associated with smoking cessation. The results of the SEM showed that environment support (β=0.39; 95% CI: 0.05-0.73, p=0.026) and social support (β=0.37; 95% CI: 0.05-0.68, p=0.022) had influence on smoking cessation.

CONCLUSIONS

Environment support and social support are related to smoking cessation. Attention should be paid to the smoking regulations at home and workplace, anti-tobacco messaging, and social support by the family.

TRIAL REGISTRATION

The study was registered on the official website of the China Clinical Trial Registration Center. Identifier: ChiCTR1900024991.

Effectiveness of Peer-Support Interventions for Smoking Cessation: A Systematic Review and Meta-analysis

INTRODUCTION

Peer support has been recommended to promote smoking cessation, but results from prior meta-analyses have not established its efficacy. We conducted a systematic review and meta-analysis to assess current evidence and identify potential modifiers of efficacy.

METHODS

Randomized controlled trials of peer-support interventions with a smoking cessation outcome were identified in January 2022 from PubMed and references listed in identified studies. The meta-analysis outcome measure was mean risk ratio (RR, 95% confidence interval [CI]) for abstinence at the longest follow-up timepoint between 3 and 9 months from baseline. Potential modifiers tested were peer smoking status (former, current, or unknown), follow-up timepoint, abstinence measure, and cumulative engagement time between peers and smokers ("dose"). Studies were assessed for risk of bias and certainty of evidence.

RESULTS

We identified 16 trials, which varied in abstinence effect size (RR 0.61-3.07), sample size (23-2121), dose (41-207 minutes), and follow-up timepoint (<1-15 months). Across 15 trials with follow-up between 3 and 9 months (N = 8573 participants; 4565 intervention, 4008 control), the pooled Mantel-Haenszel RR was 1.34 (95% CI: 1.11-1.62). Effect sizes were greatest among interventions with formerly smoking peers (RR 1.43, 95% CI 1.17-1.74; five trials). We found positive effects for follow-up timepoints ≥3 months but no effect of intervention dose. The overall quality of evidence was deemed "very low."

CONCLUSIONS

Peer-support interventions increased smoking abstinence. There remains a lack of consensus about how to define a peer. Intervention features such as peer smoking status appear to have explanatory power. Additional high-quality and more comparable trials are needed.

IMPLICATIONS

This study reviewed the latest evidence from randomized controlled trials and found that peer-support interventions enhance smoking cessation. Efficacy varies with key intervention features such as peer smoking status and follow-up timepoint, which may be used to facilitate development of more effective peer-support interventions. Future trials and reviews would benefit from careful consideration and clear reporting of peer smoking status, length of follow-up, abstinence measures, and intervention dose.

"A person who do not smoke will not understand a person who smokes and trying to quit…" Insights From Quit Smoking Clinics' Defaulters: A Qualitative Study

This study explored the factors contributing to discontinuation of people who smoke (PWS) from quit smoking clinic prior to achieving 6-month abstinence. Fifteen active PWS were interviewed via telephone and face-to-face. Interviews were audio-recorded, transcribed and analysed using thematic analysis. At individual level, low intrinsic motivation including unreadiness to quit, low self-efficacy and ambivalence on smoking cessation were barriers to attain successful cessation. Influence of extrinsic factors such as work-related factors, social interaction and ill-health burden lead to poor commitment with QSC. At the clinic level, healthcare professional's competency, personal attributes, pharmacotherapy's efficacy, safety and availability were important components that may affect a participant's effort to quit. Working commitment was highlighted as the primary barrier for a successful cessation. Hence, effective intervention and collaborative effort between healthcare facilities and employers are essential to optimise cessation adherence among employees who smoke which subsequently will enhance their abstinence rates.

Capturing the impact employees have on their coworkers and leaders: a holistic approach on health-specific support behavior from employees

Support is a valuable resource for ensuring employee health in the workplace. However, research on health-specific support behavior (i.e., support specifically targeting concrete health aspects) has only concentrated on either leader behavior (e.g., healthy leadership styles) or support provided by employees for specific health issues (e.g., healthy eating or smoking cessation). Although the importance of employee health has been well established, the examination of a wider range of potential health-specific support behaviors from employees provided for their colleagues and leaders has been neglected. To understand employee health-specific support behavior, we adapted an existing health-oriented leadership questionnaire to cover support for colleagues (PeerCare) and their leaders (LeaderCare). Capturing the employee perspective with a sample of 347 employees, the results confirmed a delineation of health-oriented scales (factor, convergent, and discriminant validity). By testing health-specific support behavior processes at work, the positive effects of PeerCare on general health were demonstrated. Contrary to expectations, existing health effects are outweighed when leaders provide health-specific support behavior to their employees (StaffCare). However, the results imply that the health-specific support behavior practices of different actors reinforce each other: the effects of StaffCare and PeerCare enhance each other, and StaffCare has a strong influence on LeaderCare. Remarkably, SelfCare has a key role in this process. The open questions and implications regarding the effects of the different health-specific support behavior measurements are discussed.

Gender Differences in the Interrelations Among Social Support, Stressful Life Events, and Smoking Cessation in People With Severe Mental Illnesses

BACKGROUND

Social support and stressful life events (SLEs) have been found to be influential factors for smoking cessation in the general population, but little is known about these factors among smokers with severe mental illnesses (SMIs) and whether their associations with smoking cessation differ by gender.

AIMS

To examine the association between social support and smoking cessation as mediated by SLEs in people with SMI and to examine whether the interrelations among social support, SLEs, and smoking cessation differ by gender.

METHODS

A population sample of 4,610 American lifetime adult smokers with schizophrenia, bipolar disorder, or major depressive disorder were identified in a limited public use data set of the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions. Four mediation and moderated mediation models were used to examine gender differences in the interrelations among social support (total and three subscales of the Interpersonal Support Evaluation List-12), SLEs (summative score of positive responses to 16 types experienced in past year and related to health, job, death, or legal situations), and smoking status in prior year.

RESULTS

Total, appraisal, and tangible support among females exerted indirect effects on smoking cessation via decreasing SLE scores. Among males, only belonging support exerted an indirect effect on smoking cessation via an increased SLE score.

CONCLUSIONS

Findings suggest that interventions focusing on improving social support should be a priority for those working with smokers with SMI.

Underestimation of smoking hazards and smoking cessation intervention efficiency among healthcare professionals: A cross-sectional study among Korean occupational health nurses

INTRODUCTION

Occupational health nurses (OHNs) in South Korea who visit the workplace periodically could play a key role in smoking cessation. It would be helpful to assess their understanding of smoking hazards and smoking cessation methods to encourage them to provide smoking intervention services at the workplace. This study aimed to investigate the knowledge of smoking hazards and perceptions of smoking cessation methods among OHNs.

METHODS

We conducted an anonymous self-administered cross-sectional questionnaire survey of 108 OHN nurses employed in an occupational health service outsourcing specialized agency with 19 regional branches in Korea from July to August 2019. We assessed the perceptions of the OHNs about smoking interventions, hazards of smoking, and perceived competence to counsel smokers according to training experience, using chi-squared tests and Fisher's exact tests.

RESULTS

The majority of the nurses underestimated the smoking-attributable fraction for lung cancer (78.7%), chronic obstructive pulmonary disease (64.8%), and mortality (49.0%), regardless of training experience on smoking cessation, while more than half perceived their skill and knowledge to counsel patients concerning smoking as inadequate (56.5%). However, those trained in smoking cessation interventions felt more competent in smoking cessation counselling, with 52.2% and 29.3% in the trained and non-trained groups, respectively (p=0.019).

CONCLUSIONS

The OHNs in this study underestimated smoking hazards and perceived themselves as lacking counselling skills regarding smoking cessation interventions. It is necessary to encourage OHNs to promote smoking cessation by increasing their knowledge, skills and competence in smoking cessation interventions.

Examining Psychosocial Correlates of a Home Smoking Ban Among Low-income Smokers: Analysis of Social Support, Unmet Social Needs, Perceived Stress, and Depressive Symptoms

Home smoking bans reduce exposure to second-hand smoke. Understanding how psychosocial factors are related to having a home smoking ban may lead to better interventions for populations less likely to have home smoking bans, including low-income smokers. In this study, we used baseline data from 1,944 participants in a randomized trial of low-income smokers in Missouri to explore psychosocial correlates of a total home smoking ban. Using logistic regression, we examined associations between psychosocial variables (social support, unmet social needs [e.g., food, housing], perceived stress, and depressive symptoms) and a total home smoking ban. 72% of participants were female, and 58% were Black/African American; 26% reported a home smoking ban. In unadjusted and adjusted models, greater social support was associated with greater likelihood of a home smoking ban. Stress was negatively associated with a ban in adjusted models only. The fact that most participants did not have a home smoking ban highlights the need for further intervention in this population. Results suggest links between social support and having a home smoking ban, although effect sizes were small. Smoke-free home interventions that increase social connectedness or leverage existing support may be especially effective. Tobacco control planners may also consider partnering with agencies addressing social isolation.

Cross-Sectional Associations of Self-Reported Social/Emotional Support and Life Satisfaction with Smoking and Vaping Status in Adults

This study aimed to examine the cross-sectional association of self-reported social/emotional support and life satisfaction with smoking/vaping status in US adults. The study included 47,163 adult participants who self-reported social/emotional support, life satisfaction, and smoking/vaping status in the 2016 and 2017 BRFSS national survey data. We used multivariable weighted logistic regression models to measure the cross-sectional association of self-reported social/emotional support and life satisfaction with smoking/vaping status. Compared to never users, dual users and exclusive smokers were more likely to have low life satisfaction, with an adjusted odds ratio (aOR) = 1.770 (95% confidence interval [CI]: 1.135, 2.760) and an aOR = 1.452 (95% CI: 1.121, 1.880) respectively, especially for the age group 18-34. Exclusive cigarette smokers were more likely to have low life satisfaction compared to ex-smokers (aOR = 1.416, 95% CI: 1.095, 1.831). Exclusive cigarette smokers were more likely to have low social/emotional support (aOR = 1.193, 95% CI: 1.030, 1.381) than never users, especially those aged 65 and above. In addition, exclusive cigarette smokers were more likely to have low social/emotional support than ex-smokers, with an aOR = 1.279 (95% CI: 1.097, 1.492), which is more pronounced among the age group 18-34, as well as 65 and above. Our results suggest that life satisfaction and social/emotional support may play important roles in smoking and vaping, which should be incorporated into behavioral interventions to reduce tobacco use.

Differences in occupational stress by smoking intensity and gender in cross-sectional study of 59 355 Japanese employees using the Brief Job Stress Questionnaire (BJSQ): the Niigata Wellness Study

OBJECTIVES

It has been hypothesised that smoking intensity may be related to occupational stress. This study aimed to investigate whether stress, including problems with superiors or co-workers, is a driver of smoking.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

59 355 employees (34 865 men and 24 490 women) across multiple occupations who completed a self-reported questionnaire-based occupational stress survey between April 2016 and March 2017 in Niigata Prefecture.

MAIN OUTCOME MEASURES

Stress scores for the Brief Job Stress Questionnaire subscales summed up after assigning high points for high stress and converted to Z-scores based on the mean of all participants. Heavy smokers (HS) smoked ≥15 cigarettes/day and light smokers (LS) smoked <15 cigarettes/day and were compared with non-smokers (NS) by gender.

RESULTS

The main subscale items that were significantly associated with smoking status in both genders included 'physical burden', 'irritation' and 'physical symptoms'. In the analysis that included smoking intensity, the stress score for 'co-workers' support' was significantly lower for LS men than NS men (NS 0.091±0.98, LS -0.027±1.00, HS 0.033±0.99), and was significantly higher for HS women than NS women (NS -0.091±1.00, LS -0.080±1.05, HS 0.079±1.03). However, the stress score for 'co-workers' support' was low among LS women aged ≤39 years in the manufacturing industry.

CONCLUSIONS

It was speculated that LS men and some LS women gained 'co-workers' support' using smoking as a communication tool while reducing the degree of smoking. The existence of such 'social smokers' suggested that to promote smoking cessation, measures are essential to improve the communication between workers in addition to implementing smoking restrictions in the workplace.

'He or she maybe doesn't know there is such a thing as a review': A qualitative investigation exploring barriers and facilitators to accessing medication reviews from the perspective of people from ethnic minority communities

Introduction

Regular reviews of medications, including prescription reviews and adherence reviews, are vital to support pharmacological effectiveness and optimize health outcomes for patients. Despite being more likely to report a long‐term illness that requires medication when compared to their white counterparts, individuals from ethnic minority communities are less likely to engage with regular medication reviews, with inequalities negatively affecting their access. It is important to understand what barriers may exist that impact the access of those from ethnic minority communities and to identify measures that may act to facilitate improved service accessibility for these groups.

Methods

Semi‐structured interviews were conducted between June and August 2021 using the following formats as permitted by governmental COVID‐19 restrictions: in person, over the telephone or via video call. Perspectives on service accessibility and any associated barriers and facilitators were discussed. Interviews were audio‐recorded and transcribed verbatim. Reflexive thematic analysis enabled the development of themes. QSR NVivo (Version 12) facilitated data management. Ethical approval was obtained from the Health Research Authority (ref: 21/HRA/1426).

Results

In total 20 participants from ethnic minority communities were interviewed; these participants included 16 UK citizens, 2 refugees and 2 asylum seekers, and represented a total of 5 different ethnic groups. Three themes were developed from the data regarding the perceived barriers and facilitators affecting access to medication reviews and identified approaches to improve the accessibility of such services for ethnic minority patients. These centred on (1) building knowledge and understanding about medication reviews; (2) delivering medication review services; and (3) appreciating the lived experience of patients.

Conclusion

The results of this study have important implications for addressing inequalities that affect ethnic minority communities. Involving patients and practitioners to work collaboratively in coproduction approaches could enable better design, implementation and delivery of accessible medication review services that are culturally competent.

Patient or Public Contribution

The National Institute for Health Research Applied Research Collaboration and Patient and Public Involvement and Engagement group at Newcastle University supported the study design and conceptualization. Seven patient champions inputted to ensure that the research was conducted, and the findings were reported, with cultural sensitivity.

Influence of Psychological Factors on College Students' Smoking Behavior: Moderating Role of Tobacco Advertising Receptivity and Health Behavior

Objectives: The main objective of this study was to examine the role of psychological factors affecting college students' smoking behavior. We considered 3 psychological factors in this study - depressive symptoms, novelty seeking personality, and stress, which are common among learners in institutions of higher learning. Furthermore, we also considered the moderating effect of tobacco advertising receptivity and health behavior. Methods: In this study, we used a cross-sectional research design, wherein data were collected through a survey questionnaire, designed on a Likert scale. We received 160 responses for data analysis. Our primary analysis used partial least squares (PLS). Results: Depressive symptoms, novelty seeking personality, stress, and tobacco advertising receptivity had significant positive relationships with college students' smoking behavior; however, pro-health behavior had a negative effect on smoking behavior. Conclusion: Our results reveal a major role of depressive symptoms, novelty seeking personality and stress in shaping the smoking behavior of college students in China. Additionally, the moderating variables of tobacco advertising receptivity and health behavior showed considerable impact, as both showed a positive influence on psychological factors and smoking behavior of college students. Finally, our results provide insights for practitioners to devise strategies to address smoking behavior in college students.

Cigarette smokers' perceptions of smoking cessation and associated factors in Karachi, Pakistan

OBJECTIVES

The study explored the perceptions of adult smokers with cardiovascular and respiratory diseases regarding cigarette smoking cessation. We also explored factors that may hinder or facilitate smoking cessation process.

DESIGN

Qualitative descriptive exploratory design SAMPLE: Purposive sample of 13 adult smokers with cardiovascular or respiratory diseases visiting outpatient cardiac and respiratory clinics at a private tertiary care hospital MEASUREMENTS: In-depth, face-to-face, and semi-structured interviews were conducted. The interviews were digitally recorded and transcribed verbatim followed by a six steps process of manual thematic analysis of data.

RESULTS

Meaningful statements were assigned codes and grouped into categories. Categories were clustered under three themes representing individual factors, socio-cultural factors, and institutional factors.

CONCLUSIONS

Smoking cessation is influenced by personal, cultural, as well as social aspects. Institutionally, there is a need to recognize that smoking is a learned behavior; hence, prohibiting public smoking will potentially contribute to non-smoking behaviors. Although the nature of misconceptions varies, this is imperative to ensure consistency in messaging, programming, and supports led by healthcare professionals.

Health-Related and Lifestyle Factors as Predictors of Intentions to Improve Lifestyle Habits in Employees Participating in a Workplace Health Promotion Program

OBJECTIVES

To explore employees' intentions to improve lifestyle habits, investigate the health and lifestyle-related predictors of these intentions, and how it translated into behavioral improvement.

METHODS

Employees participating in the Activate Your Health WHPP completed a questionnaire of their demographics, health-related variables, as well as six lifestyle habits and intention to improve them.

RESULTS

At baseline (n = 2729), most employees wanted to focus on physical activity and eating habits. Many predictors were identified for each intention. Majority of intentions were associated with behavioral improvement post-program (n = 525), especially in High.

CONCLUSIONS

In the context of WHPPs, intention to improve may lead to actual behavioral improvement. Exploring employees' intentions to improve various lifestyle habits at the start of the program could improve the effectiveness of these programs.

Predictors of Smoking Cessation Attempts and Success Following Motivation-Phase Interventions Among People Initially Unwilling to Quit Smoking

INTRODUCTION

Most people who smoke cigarettes are not willing (ie, not ready) to make a quit attempt (QA) at any given time. Unfortunately, interventions intended to increase QAs and the success of QAs are only modestly effective. Identifying processes leading to QAs and quitting success could guide intervention development.

AIMS AND METHODS

This is a secondary analysis of a randomized factorial trial of 6 weeks of motivation-phase interventions among primary care patients (N = 517) who were initially unwilling to quit but were willing to reduce their smoking. Using logistic regression, we controlled for treatment condition and tested whether baseline or change in smoking-related constructs after 6 weeks of treatment predicted (1) making an at least 24 h QA between weeks 6 and 26 and (2) quitting success at week 26 (7-day point-prevalence abstinence among those who made a QA). Predictors included cigarettes/day, time to first cigarette, motivation to quit, quitting self-efficacy, anticipated urges to smoke if quit, positive affect, negative affect, and time spent around others who smoke.

RESULTS

In multivariable models that included all smoking-related constructs, changes in the following variables predicted initiating a QA above and beyond other variables: greater baseline time to first cigarette (odds ratio [OR] = 1.60), increases in time to first cigarette (OR = 1.27), and increases in quitting self-efficacy (OR = 1.14). Increased motivation to quit predicted conversion of a QA into quitting success at 26 weeks (OR = 1.36).

CONCLUSION

Predictors of making a QA differed from predictors of quitting success. Predictors of QAs and success could each serve as important treatment targets of motivation-phase interventions.

IMPLICATIONS

Motivation-phase interventions for people initially unwilling to quit smoking cigarettes may be improved by striving to increase their (1) time to first cigarette and quitting self-efficacy to promote QAs and (2) motivation to quit to promote quit success. Future experimental tests of such interventions are needed to identify causal determinants of QAs and quitting success.

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.

Factors affecting success and abstinence within a smoking cessation clinic: A one-year follow-up study in Turkey

INTRODUCTION

Successful smoking cessation requires personal, environmental and pharmacological support. In our clinic, pharmacological treatment lasts up to three months. In this study, we aimed to investigate smoking cessation rates, the effects of follow-up visits and pharmacological therapies on smoking cessation in our smoking cessation clinic for one year.

METHODS

Our study included 505 patient files that were randomly selected from the 5271 patients who were admitted to our outpatient clinic for smoking cessation in 2015-2016 and at least one year has passed from treatment initiation. Patients, who agreed to participate in this study, provided information on their smoking cessation status, treatment duration and drug side effects. Data were recorded on electronic media for statistical analysis. Significance was evaluated at p<0.05.

RESULTS

Our study was conducted on 505 patients that were randomly selected, 309 (61.2%) males and 196 (38.8%) females. The mean age was 38.9±10.3 years. There were 313 (61.9%) participants who stopped smoking after treatment and 229 (45.3%) were not smoking currently. The smoking cessation rate of males (57.9%) was significantly lower than that of females (68.4%) (p=0.019). The rate of relapse of males (12.9%) was significantly lower than that of females (20.9%) (p=0.017). Side effects occurred in 68 (13.5%) patients, 32 taking varenicline and 36 taking bupropion.

CONCLUSIONS

In our study, 45.3% of the patients had stopped smoking after one year. Smoking cessation rates were higher in the early stages of treatment than at late periods. Approximately half of the participants had never attended follow-up visits. Due to the low number of follow-up visits, both pharmacological treatment and motivational support were insufficient for effective smoking cessation therapy.

Influence of Family Environment and Tobacco Addiction: A Short Report from a Post-Graduate Teaching Hospital, India

Background: The initiation of tobacco addiction is complex, and several factors contribute to the onset of this behavior. It is presumed that the influence of family environment may pose a key factor in tobacco addiction. Tobacco-use has been highly observed in the Jamnagar district of Saurashtra region of Gujarat, India. No earlier study has focused on determining the pervasiveness of tobacco-use in families of tobacco users and non-users in this geographical area. Thus, this study aimed to assess the practice and pattern of tobacco-use (smoking and/or tobacco-chewing) in the families of tobacco-user patients. Methods: We studied the families of 65 tobacco-user patients (Group 1) who visited an outpatient clinic of an Ayurvedic post-graduate hospital with complaints of cough were studied and compared with age and gender-matched non-tobacco users (Group 2). The prevalence of tobacco use among the parents, siblings, and children of both groups was analyzed and compared. Results: The findings revealed that tobacco use among parents, siblings, and children in Group 1 was higher than Group 2 (p < 0.001). This meant that the problems of tobacco addiction are not always related to the individual, and therefore, tobacco-prevention strategies should focus on the entire family. Conclusions: These findings offer further insight into the promotion of smoking prevention interventions. Nevertheless, further research is warranted.