Self-Efficacy and Motivation to Quit of Smokers Seeking to Quit: Quantitative Assessment of Smoking Cessation Mobile Apps

Trend of Metabolic Syndrome Indicators in Working Korean Women According to Smoking Status and Workplace Size: A Population-Based Retrospective Longitudinal Study

OBJECTIVE

Smoking, a risk factor for metabolic syndrome, is associated with stress relief and pleasure among women, which can hinder efforts to quit smoking, particularly in workplaces. We investigated the metabolic syndrome indicators among working Korean women based on smoking status and workplace size to devise tailored smoking cessation policies.

DESIGN

Retrospective longitudinal study.

SAMPLE

Data from 53,126 working Korean women aged 15-64 years were collected between 2009 and 2015.

MEASUREMENTS

Data were collected from the Female Employees Database derived from the National Health Insurance Service. To assess the trend of metabolic syndrome indicators among working Korean women according to smoking status and workplace size, repeated-measures analysis of variance was used.

RESULTS

Significant interactions were found between time and group for waist circumference (WC), diastolic blood pressure (DBP), and fasting glucose (FG) levels. Trends of metabolic syndrome were more prevalent in small- and medium-sized enterprises (SMSEs) than in large-sized enterprises (LSEs). Current smokers in the LSE group had the highest WC, triglyceride, systolic blood pressure, and FG values.

CONCLUSIONS

These insights may be valuable for devising policies and interventions to improve metabolic health among women working in SMSEs and current smokers in LSEs.

Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study

BACKGROUND

Mobile health apps can facilitate access to effective treatment and therapeutic information services. However, the real-world effectiveness of mobile apps for smoking cessation and their potential impact in everyday settings remain unclear.

OBJECTIVE

In an ecological context, this study aimed to estimate the engagement rate of a mobile app-based smoking cessation preparation program and its potential impact on users' willingness, ability, and readiness to quit smoking.

METHODS

A total of 2331 "organic users" (ie, users who discover and install a mobile app on their own, without any prompts) chose 1 of 2 program versions of the mobile app (Kwit): the basic version or the premium version. Both versions were identical in design, with 4 more evidence-based content items and strategies in the premium version. Outcomes were analyzed based on automated data registered in the app (engagement rate, motivation to quit, motivation type, motivation levels, and satisfaction level). Mann-Whitney and χ2 tests were used to compare the results of both groups.

RESULTS

As expected, in the ecological context, a high dropout rate was observed at different moments. A significant difference was observed between the 2 versions (n=2331; χ21=5.4; P=.02), with a proportionally higher engagement rate in the premium version (premium=4.7% vs basic=2%). Likewise, differences were also observed between the 2 groups in terms of reasons to quit (n=2331; χ24=19; P≤.001; V=0.08), motivation type (n=2331; χ27=14.7; P=.04), and motivation level. Users of the app's premium version more frequently reported "well-being" (23.3% vs 17.9%) and "planning a pregnancy" (7.4% vs 4.4%) as their primary reasons for quitting smoking compared to those with the basic version. Moreover, they reported being more likely to be driven in the smoking cessation process by intrinsic motivation (premium=28% vs basic=20.4%), as well as feeling significantly more willing (z score=156,055; P≤.001; Cohen d=0.15), able (z score=172,905; P=.04; Cohen d=0.09), and ready (z score=166,390; P=.005; Cohen d=0.12) to stop smoking than users who had the basic version before completion of the preparation program. Among participants who finished each version of the program (premium: 9/189, 4.8%; basic: 47/2142, 2.19%), significant improvements in motivation levels were observed in both groups, although in different areas for each group (willingness levels for the premium group and ability for the basic group).

CONCLUSIONS

These results suggest that even in ecological contexts where engagement rates are meager, the Kwit preparation program can address ambivalence by increasing willingness to change, self-confidence, and readiness to quit among its users, especially those who feel less able to do so. Further development and evaluations are needed to better understand determinants for regular mobile health apps.

Stopping use of E-cigarettes and smoking combustible cigarettes: findings from a large longitudinal digital smoking cessation intervention study in the United States

OBJECTIVE

Digital interventions have been widely implemented to promote tobacco cessation. However, implementations of these interventions have not yet considered how participants' e-cigarette use may influence their quitting outcomes. We explored the association of e-cigarette use and quitting smoking within the context of a study testing a digital tobacco cessation intervention among individuals in the United States who were 18 years and older, smoked combustible cigarettes, and enrolled in the intervention between August 2017 and March 2019.

RESULTS

We identified four e-cigarette user groups (n = 990) based on the participants' baseline and six-month e-cigarette use (non-users, n = 621; recently started users, n = 60; sustained users, n = 187; recently stopped users, n = 122). A multiple logistic regression was used to estimate the adjusted odds ratios (AOR) of six-month quit outcome and the e-cigarette user groups. Compared to e-cigarette non-users, the odds of quitting smoking were significantly higher among recently stopped users (AOR = 1.68, 95% CI [1.06, 2.67], p = 0.03). Participants who were most successful at quitting combustible cigarettes also stopped using e-cigarettes at follow-up, although many sustained using both products. Findings suggest that digital tobacco cessation interventions may carefully consider how to promote e-cigarette use cessation among participants who successfully quit smoking.

TRIAL REGISTRATION

ClinicalTrials.gov identifier NCT03224520 (July 21, 2017).

Smoking cessation assistance among pneumologists and thoracic surgeons in Switzerland: a national survey

Objective

Smoking, with a prevalence of about 25%-30% in Switzerland, is proven to cause major systemic, avoidable diseases including lung cancer, increasing societies morbidity and mortality. Diverse strong quitting smoking recommendations have been made available providing advice facilitating smoking cessation globally. In other European countries like Germany, clinical practice guidelines for smoking cessation services have been implemented. However, in Switzerland, there is still no national consensus on a comprehensive smoking cessation program for lung cancer patients nor on the adequate provider. Our primary aim was to assess the current status of smoking cessation practice among specialists, mainly involved in lung cancer care, in Switzerland in order to uncover potential shortcomings.

Material and methods

A self-designed 14-items questionnaire, which was reviewed and approved by our working group consisting of pneumologists and thoracic surgeons, on demographics of the participants, the status of smoking cessation in Switzerland and specialists' opinion on smoking cessation was sent to thoracic surgeons and pneumologists between January 2024 and March 2024 via the commercially available platform www.surveymonkey.com. Data was collected and analysed with descriptive statistics.

Results

Survey response rate was 22.25%. Smoking cessation was felt to positively affect long term survival and perioperative outcome in lung cancer surgery. While 33 (37.08%) physicians were offering smoking cessation themselves usually and always (35.96%), only 12 (13.48%) were always referring their patients for smoking cessation. Patient willingness was clearly identified as main factor for failure of cessation programs by 63 respondents (70.79%). Pneumologists were deemed to be the most adequate specialist to offer smoking cessation (49.44%) in a combination of specialist counselling combined with pharmaceutic support (80.90%).

Conclusion

The development of Swiss national guidelines for smoking cessation and the implementation of cessation counselling in standardized lung cancer care pathways is warranted in Switzerland to improve long-term survival and perioperative outcome of lung cancer patients.

Exploring the interplay of abstinence self-efficacy, locus of control, and perceived social support in substance use disorder recovery

INTRODUCTION

Substance use disorder (SUD) poses a significant public health challenge globally, with substantial impacts on physical and social well-being. This study investigates the interplay between abstinence self-efficacy (ASE), locus of control (LOC), perceived social support (PSS), and various socio-demographic and psychosocial factors among individuals undergoing SUD rehabilitation.

METHODS

Researchers obtained permission from drug rehabilitation centers in Assam, India, and conducted orientation programs for prospective participants. A total of 144 participants, aged 18-65 years, predominantly from rural areas participated in the study. Data was collected through one-to-one interviews, covering socio-demographic history, drug abuse, and administering scales for ASE, LOC and PSS. Collected data underwent digitization and subsequent descriptive and inferential statistical analyses.

RESULTS

Significant associations were found between ASE and socio-demographic variables, family dynamics, and drug use history, highlighting the importance of considering these factors in SUD rehabilitation. Disturbed family relationships were linked to diminished ASE and higher risk of relapse, emphasizing the role of family support in recovery. Additionally, a negative correlation was observed between ASE and LOC, suggesting that individuals with higher ASE tend to have a more internal locus of control, which positively influences recovery outcomes. Moreover, positive correlations were found between ASE and PSS, particularly from family members, underscoring the importance of social support in fostering recovery. Regression analysis further elucidated the relationships between ASE, LOC, and PSS, emphasizing the predictive value of LOC and the impact of family support on ASE.

CONCLUSION

Findings of this study have several implications for developing targeted interventions aimed at strengthening ASE, promoting internal locus of control, and enhancing social support systems.

Evaluating the Impact of Motivational Enhancement Therapy on Tobacco Cessation in Schizophrenia: A Comprehensive Review

Tobacco use is markedly prevalent among individuals with schizophrenia, presenting significant challenges to their physical health and psychiatric treatment. This comprehensive review evaluates the impact of motivational enhancement therapy (MET) on tobacco cessation in this population. Schizophrenia, a chronic mental disorder characterized by symptoms such as delusions and hallucinations, is frequently accompanied by high rates of smoking, which exacerbates health risks and complicates treatment regimens. MET, a client-centered approach rooted in motivational interviewing, aims to enhance intrinsic motivation for behavior change through empathetic and non-confrontational therapeutic sessions. This review synthesizes evidence from clinical studies on MET's effectiveness in promoting smoking cessation among individuals with schizophrenia. The review highlights the therapy's strengths, including its adaptability and client-focused nature, which are particularly beneficial for addressing the unique challenges faced by this population. It also discusses the broader health benefits of smoking cessation, such as improved physical health and enhanced efficacy of psychiatric medications. Despite promising results, the review identifies limitations and challenges in applying MET, such as potential barriers to implementation and the need for further research. In conclusion, MET offers a valuable intervention for tobacco cessation in individuals with schizophrenia, with the potential to significantly improve health outcomes and quality of life. Future research should focus on optimizing MET strategies and exploring their broader impacts on this vulnerable population.

Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial

BACKGROUND

Digital therapies, especially smartphone apps for active and continuous smoking cessation support, are strongly emerging as an alternative smoking cessation therapy. In the Indian context, there is a growing interest in the use of app-based smoking cessation programs; however, there is limited evidence regarding their effectiveness in achieving long-term continuous abstinence.

OBJECTIVE

This study aimed to evaluate the long-term abstinence effect (up to 30-d abstinence postprogram completion) of a smartphone app, QuitSure, for smoking cessation in active smokers from India.

METHODS

In this prospective single-arm study, participants who signed up for the QuitSure app were enrolled in this study. The primary end point was the prolonged abstinence (PA) rate from weeks 1 to 4 (day 7 to day 30). Furthermore, data for withdrawal symptoms, relapse reasons, and reasons for not continuing the program were also assessed.

RESULTS

The quit rate was calculated considering only the participants who followed up and completed the survey sent to them (per protocol) at day 7 and at day 30, respectively. The PA rate at day 7 was found to be 64.5% (111/172; 95% CI 56% to 72%), and the PA rate at day 30 was found to be 55.8% (72/129; 95% CI 45% to 65%). Within the 7-day abstinence period, 60.4% (67/111) of the participants did not have any withdrawal symptoms. The most common mild withdrawal symptoms were mild sleep disturbance (21/111, 18.9%), mild digestive changes (19/111, 17.1%), and coughing (17/111, 15.3%). Severe withdrawal symptoms were rare, with only 5.4% (6/111) experiencing them. For those achieving 30-day postprogram abstinence, 85% (61/72) had no mild withdrawal symptoms, and 99% (71/72) had no severe withdrawal symptoms. Among successful quitters at day 7, a total of 72.1% (80/111) reported minimal to no cravings, which increased to 88% (63/72) at day 30. Furthermore, 78% (56/72) of those with PA at day 30 reported no change in weight or reduced weight. Among participants experiencing relapse, 48% (28/58) cited intense cravings, 28% (16/58) mentioned facing a tragedy, and 26% (15/58) reported relapsing due to alcohol consumption. The PA rates as a result of the QuitSure program were found to be better than those reported in the results of other smoking-cessation app programs' studies.

CONCLUSIONS

The QuitSure app yields high PA rates and ameliorates symptoms associated with smoking cessation. In order to obtain conclusive evidence regarding the effectiveness and efficacy of the QuitSure program, future research should include appropriate control measures. Nevertheless, the QuitSure program can serve as a valuable adjunct to a conventional smoking cessation treatment program to aid sustained abstinence.

Use of the Therapy App Prescinde for Increasing Adherence to Smoking Cessation Treatment

Tobacco use poses major health risks and is a major contributor to causes of death worldwide. Mobile phone-based cessation apps for this substance are gaining popularity, often used as a component of traditional interventions. This study aimed to analyze adherence to an intervention using a mobile phone application (App-therapy Prescinde (v1)) as a function of sociodemographic variables (age, gender, educational level, and profession) as well as the primary activities supported by the app (reducing tobacco or cannabis use and increasing physical exercise). The participants were recruited through the web pages of the Occupational Risk Prevention Service and the Psychology Clinic of the University of Granada during the COVID-19 confinement period. The application's contents include three components (self-report, motivational phrases, and goal setting). Our findings indicate that being male, being aged between 26 and 62, having a high school education, and being unemployed increase the likelihood of adherence to the Prescinde therapy app three months after usage. Our findings highlight the importance of developing new therapeutic approaches and conducting in-depth studies on the factors associated with adherence to tobacco cessation and cannabis cessation treatments via mobile phone applications.

Effectiveness of a Smoking Cessation Program during the COVID-19 Pandemic

The coronavirus disease-2019 pandemic has caused major obstacles for effective smoking cessation programs by significantly limiting access to healthcare. This cross-sectional analysis aimed to assess the effectiveness of a self-developed smoking cessation program during the pandemic. The program was based on remote lectures, educational interventions, and hybrid services provided by an outpatient clinic. We assessed 337 participants enrolled to the program between January 2019 and February 2022. Data on demographic characteristics, medical history, and smoking status at baseline and after at least 1-year follow-up were collected from medical records and a standardized self-developed questionnaire. Participants were classified into two groups according to their current smoking status. The smoking cessation rate at 1 year was 37% (95% confidence interval [CI]: 31-42%). Major predictors of smoking cessation were the place of residence, ability to refrain from smoking during severe illness, and the number of cigarettes smoked per day. The proportion of participants with high levels of nicotine dependence at baseline was 40.8% (95% CI: 34.5-47.5%) vs. 29.1% (95% CI: 23.4-35.5%) after the program. In the group that did not quit smoking, there were more participants who smoked within 5 min after waking up than before the program (40.4% [95% CI: 34.0-47.1%] vs. 25.4% [95% CI: 19.9-31.6%]). Effective smoking cessation interventions can be performed using remote counseling and education.

Engagement With Gamification Elements in a Smoking Cessation App and Short-term Smoking Abstinence: Quantitative Assessment

BACKGROUND

Gamification in smoking cessation apps has been found to improve cognitive outcomes associated with higher odds of quitting. Although some research has shown that gamification can also positively impact behavioral outcomes such as smoking cessation, studies have largely focused on physical activity and mental health. Only a few studies have explored the effects of gamification on smoking cessation outcomes, of which the majority have adopted qualitative methodologies and/or assessed engagement with apps using self-report.

OBJECTIVE

This study aimed to explore levels of user engagement with gamification features in a smoking cessation app via in-app metrics. Specifically, the objective of this paper was to investigate whether higher engagement with gamification features is associated with the likelihood of quitting in the short term.

METHODS

Data from a larger online study that recruited smokers seeking to quit were analyzed to address the objectives presented in this paper. The study took place between June 2019 and July 2020, and participants were primarily recruited via social media posts. Participants who met the eligibility criteria used 1 of 2 mobile apps for smoking cessation. In-app metrics shared by the developer of one of the smoking cessation apps, called Kwit, were used to assess engagement with gamification features. Out of 58 participants who used the Kwit app, 14 were excluded due to missing data or low engagement with the app (ie, not opening the app once a week). For the remaining 44 participants, mean (SD) values were calculated for engagement with the app using in-app metrics. A logistic regression model was used to investigate the association between engagement with gamification and 7-day smoking abstinence.

RESULTS

In total, data from 44 participants who used the Kwit app were analyzed. The majority of participants were male, married, and employed. Almost 30% (n=13) of participants self-reported successful 7-day abstinence at the end of the study. On average, the Kwit app was opened almost 31 (SD 39) times during the 4-week study period, with the diary feature used the most often (mean 22.8, SD 49.3). Moreover, it was found that each additional level unlocked was associated with approximately 22% higher odds of achieving 7-day abstinence after controlling for other factors such as age and gender (odds ratio 1.22, 95% CI 1.01-1.47).

CONCLUSIONS

This study highlights the likely positive effects of certain gamification elements such as levels and achievements on short-term smoking abstinence. Although more robust research with a larger sample size is needed, this research highlights the important role that gamification features integrated into mobile apps can play in facilitating and supporting health behavior change.

Evaluation of the smoking cessation effects of QuitAction, a smartphone WeChat platform

INTRODUCTION

Many smokers in China desire to quit, though the success rate among adults is low. This study evaluated the effects of QuitAction, a WeChat smoking cessation platform, summarized the intervention experience of the smoking cessation platform, identified aspects of the platform that necessitated improvement, and provided references for further optimization of the smoking cessation platform.

METHODS

This single-arm study was conducted in Hunan, China, from September 2020 to October 2021. Regular smokers, who were aged ≥15 years and willing to quit smoking using QuitAction, were recruited. An in-application questionnaire evaluated participants' baseline smoking status and intention to quit smoking. The QuitAction program included questionnaires regarding the participants' ongoing smoking cessation status at 24 hours, one week, one month and three months after quitting. The smoking cessation procedure was discontinued if the participant had no intention of continuing. The smoking cessation rate, influencing success factors, frequency of use satisfaction, and helpfulness of QuitAction were recorded.

RESULTS

A total of 303 participants registered and logged into the QuitAction program, including 59 with incomplete information and 64 with no intention of quitting. The study finally included 180 participants. The smoking cessation rate was 33.9% at 24 hours, 27.2% at one week, 26.1% at one month, and 25.0% at three months. QuitAction was reported as helpful by 94.9% of participants and 95.7% were satisfied with the program. Participants with a quitting difficulty score of 80-100 were less likely to quit smoking than participants with a difficulty score of 0-60 (OR=0.28; 95% CI: 0.10-0.78; p=0.015). Participants using the platform ≥5 times were more likely to quit smoking than those who used the platform <5 times (OR=3.59; 95% CI: 1.51-8.52; p=0.004).

CONCLUSIONS

The QuitAction platform provides smoking cessation services that can improve smokers' success rate and improve user experience satisfaction.

Correlation of self-efficacy and symptom control in cancer patients

OBJECTIVE

This cross-sectional study was planned to evaluate the self-efficacy and symptom control of cancer patients and to determine the factors affecting them.

METHODS

The sample of the study consisted of 329 cancer patients who were treated in the Medical Oncology Clinic of a university hospital between April and June 2019 and accepted to participate in the study. Data were collected using the Patient Characteristics Information Form, Cancer Behavior Inventory-Short Version (CBI-SV), and Edmonton Symptom Assessment Scale (ESAS). Percentage, mean, Mann-Whitney U test, and Kruskal-Wallis analysis of variance were used in the analysis of the data.

RESULTS

The mean CBI-SV score of the patients was 79.10 ± 17.55. It was determined that the highest mean score of ESAS of the patients was in the symptom of fatigue (3.53 ± 2.81). Some symptoms were statistically lower in patients with good income, who are working, and who are non-smokers. Also it was determined that the self-efficacy levels of the patients with good income and quitting smoking were higher (p < 0.05). At the same time, as the patients' self-efficacy scores increased, the severity of the symptoms they experienced decreased statistically (p < 0.05).

CONCLUSION

It was found that the patients' self-efficacy score was above the moderate level, the most intense symptom experienced by the patients was fatigue, and the severity of the symptoms decreased as the patients' self-efficacy level increased. In line with these results; the symptoms, self-efficacy perceptions, and affecting factors of cancer patients should be evaluated by nurses at regular intervals, and care and consultancy services should be provided.

Mechanisms of Smartphone Apps for Cigarette Smoking Cessation: Results of a Serial Mediation Model From the iCanQuit Randomized Trial

BACKGROUND

Engagement with digital interventions is a well-known predictor of treatment outcomes, but this knowledge has had limited actionable value. Instead, learning why engagement with digital interventions impact treatment outcomes can lead to targeted improvements in their efficacy.

OBJECTIVE

This study aimed to test a serial mediation model of an Acceptance and Commitment Therapy (ACT) smartphone intervention for smoking cessation.

METHODS

In this randomized controlled trial, participants (N=2415) from 50 US states were assigned to the ACT-based smartphone intervention (iCanQuit) or comparison smartphone intervention (QuitGuide). Their engagement with the apps (primary measure: number of logins) was measured during the first 3 months, ACT processes were measured at baseline and 3 months (acceptance of internal cues to smoke, valued living), and smoking cessation was measured at 12 months with 87% follow-up retention.

RESULTS

There was a significant serial mediation effect of iCanQuit on smoking cessation through multiple indicators of intervention engagement (ie, total number of logins, total number of minutes used, and total number of unique days of use) and in turn through increases in mean acceptance of internal cues to smoke from baseline to 3 months. Analyses of the acceptance subscales showed that the mediation was through acceptance of physical sensations and emotions, but not acceptance of thoughts. There was no evidence that the effect of the iCanQuit intervention was mediated through changes in valued living.

CONCLUSIONS

In this first study of serial mediators underlying the efficacy of smartphone apps for smoking cessation, our results suggest the effect of the iCanQuit ACT-based smartphone app on smoking cessation was mediated through multiple indicators of engagement and in turn through increases in the acceptance of physical sensations and emotions that cue smoking.

TRIAL REGISTRATION

Clinical Trials.gov NCT02724462; https://clinicaltrials.gov/ct2/show/NCT02724462.