Chatbot-Led Support Combined With Counselor-Led Support on Smoking Cessation in China: Protocol for a Pilot Randomized Controlled Trial.

BACKGROUND: China has a large population of smokers, with half of them dependent on tobacco and in need of cessation assistance, indicating the need for mobile health (mHealth) to provide cessation support. OBJECTIVE: The study aims to assess the feasibility and preliminary effectiveness of combining chatbot-led support with counselor-led support for smoking cessation among community smokers in China. METHODS: This is a 2-arm, parallel, assessor-blinded, pilot randomized controlled trial nested in a smoke-free campus campaign in Zhuhai, China. All participants will receive brief face-to-face cessation advice and group cessation support led by a chatbot embedded in WeChat. In addition, participants in the intervention group will receive personalized WeChat-based counseling from trained counselors. Follow-up will occur at 1, 3, and 6 months after treatment initiation. The primary smoking outcome is bioverified abstinence (exhaled carbon monoxide <4 parts per million or salivary cotinine <30 ng/mL) at 6 months. Secondary outcomes include self-reported 7-day point prevalence of abstinence, smoking reduction rate, and quit attempts. Feasibility outcomes include eligibility rate, consent rate, intervention engagement, and retention rate. An intention-to-treat approach and regression models will be used for primary analyses. RESULTS: Participant recruitment began in March 2023, and the intervention began in April 2023. The data collection was completed in June 2024. The results of the study will be published in peer-reviewed journals and presented at international conferences. CONCLUSIONS: This study will provide novel insights into the feasibility and preliminary effectiveness of a chatbot-led intervention for smoking cessation in China. The findings of this study will inform the development and optimization of mHealth interventions for smoking cessation in China and other low- and middle-income countries. TRIAL REGISTRATION: ClinicalTrials.gov NCT05777005; https://clinicaltrials.gov/study/NCT05777005. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/58636.

Effectiveness of mobile smoking cessation treatment with 1-week nicotine replacement therapy sampling at outdoor smoking hotspots: A cluster randomized controlled trial.

AIMS: To evaluate the effectiveness of mobile smoking cessation (SC) treatment with 1-week nicotine replacement therapy (NRT) sampling on recruitment and quitting outcomes. DESIGN: Two-arm cluster RCT (1:1 ratio), single-blinded, at 244 recruitment sessions in Hong Kong outdoor smoking hotspots from October 2018-December 2019. SETTING: Participant were recruited by ambassadors and treated at the mobile SC truck. PARTICIPANTS: 834 adult (≥18 years, male 81.3%) daily smokers, Chinese-speaking, non-NRT users in the past month, consented after nurse-led intervention in mobile SC truck were randomized to the experimental (n = 482 male 79.5%) and the control group (n = 352, male 83.8%). INTERVENTION AND COMPARATOR: The experimental group received a 1-week free NRT sample, an NRT instruction card, and mobile SC treatment including onsite nurse-led brief medication advice (about 15 minutes) and referral to SC clinics. The control group received the same mobile SC treatment. MEASUREMENTS: Primary outcome was self-reported quit attempts at 1-month follow-up. Secondary outcomes included SC service use at 1 month, and biochemically validated abstinence (exhaled carbon monoxide < 4 ppm; or saliva cotinine < 10 ng/ml) at 6-month follow-up. Additionally, a post-hoc cost analysis was conducted. FINDINGS: By intention-to-treat, the two groups showed similar prevalence of quit attempts (44·4% versus 43·5%, risk ratio (RR) = 1·04, 95% confidence interval (CI) = 0·79-1·37, P = 0·79). Compared with the control group, the experimental group showed lower SC service use at clinics (32·4% versus 44·9%, RR = 0·72, 95%CI = 0·57-0·91, P = 0·006), but no significant difference in validated abstinence (4·6% versus 2·8%, RR = 1·64, 95%CI = 0·76-3·50, P = 0·21). The experimental recruitment sessions recruited more smokers for onsite medication advice than the control session (mean 6·7 vs 5·0, adjusted incident rate ratio = 1·30, 95%CI = 1·08-1·56, P = 0·005). CONCLUSIONS: Mobile smoking cessation treatment with 1-week nicotine replacement therapy sampling did not increase quit attempts or abstinence outcomes among recruited daily smokers in Hong Kong. The intervention increased smokers' uptake of onsite medication advice but reduced subsequent smoking cessation service use at clinics.

Effect of narrative videos and mini-VR games in nursing smoking cessation training on empathy and self-efficacy of smoking cessation counseling: A randomized controlled trial.

BACKGROUND: Empathy and self-efficacy for smoking cessation counseling can be enhanced through smoking cessation training. Narrative videos and virtual reality (VR) games have been applied in medical education, but their application in smoking cessation training is limited and understudied. OBJECTIVES: To evaluate the effect of smokers' narrative videos and mini-VR games on nursing students' empathy towards smokers (State Empathy Scale), confidence in practicing empathy, self-efficacy in smoking cessation counseling, and learning satisfaction. DESIGN: An open-labeled randomized controlled trial, registration number: NCT05440877 (ClinicalTrials.gov). SETTING AND PARTICIPANTS: Master of nursing students from the University in Hong Kong who enrolled in a smoking cessation course. METHODS: All students attended a tutorial including case-based discussions and role-play. The intervention group could additionally access the narrative videos and mini-VR games of smokers' cases. Linear mixed models and Cohen's d were used to evaluate the intervention effect on the self-reported learning outcomes after the intervention. RESULTS: 26 students enrolled in this trial, with 13 in each trial arm. All completed the trial. Post-test state empathy scores were significantly higher in the control group than in the intervention group (Cohen's d = 0.814, p = 0.049). No significant group differences were observed in the change of confidence in practicing empathy (ß = -11.154, p = 0.073), self-efficacy (ß = 4.846, p = 0.096), and students' learning satisfaction (Cohen's d = 0.041, p = 0.917). Both groups showed a significant increase in self-efficacy post-test (p < 0.001). CONCLUSIONS: Narrative videos showing smoking scenes and reluctance to quit, and our mini-VR games may weaken nursing students' empathy towards smokers. Smoking cessation training involving narrative videos should be modified. Debriefing and guidance to understand smokers' difficulties and express empathy are needed. VR games for smoking cessation training can involve more frame stories and challenging tasks to increase engagement.

Engagement With a Mobile Chat-Based Intervention for Smoking Cessation: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Determining how individuals engage with digital health interventions over time is crucial to understand and optimize intervention outcomes. Objective: To identify the engagement trajectories with a mobile chat-based smoking cessation intervention and examine its association with biochemically validated abstinence. Design, Setting, and Participants: A secondary analysis of a pragmatic, cluster randomized clinical trial conducted in Hong Kong with 6-month follow-up. From June 18 to September 30, 2017, 624 adult daily smokers were recruited from 34 community sites randomized to the intervention group. Data were analyzed from March 6 to October 30, 2023. Intervention: Chat-based cessation support delivered by a live counselor via a mobile instant messaging app for 3 months from baseline. Main Outcomes and Measures: Group-based trajectory modeling was used to identify engagement trajectories using the participants' weekly responses to the messages from the counselor over the 3-month intervention period. The outcome measures were biochemically validated tobacco abstinence at 3-month (end of treatment) and 6-month follow-ups. Covariates included sex, age, educational level, nicotine dependence, past quit attempt, and intention to quit at baseline. Results: Of 624 participants included in the analysis, 479 were male (76.8%), and the mean (SD) age was 42.1 (16.2) years. Four distinct engagement trajectories were identified: low engagement group (447 [71.6%]), where participants maintained very low engagement throughout; rapid-declining group (86 [13.8%]), where participants began with moderate engagement and rapidly decreased to a low level; gradual-declining group (58 [9.3%]), where participants had high initial engagement and gradually decreased to a moderate level; and high engagement group (58 [5.3%]), where participants maintained high engagement throughout. Compared with the low engagement group, the 6-month validated abstinence rates were significantly higher in the rapid-declining group (adjusted relative risk [ARR], 3.30; 95% CI, 1.39-7.81), gradual-declining group (ARR, 5.17; 95% CI, 2.21-12.11), and high engagement group (ARR, 4.98; 95% CI, 1.82-13.60). The corresponding ARRs (95% CI) of 3-month validated abstinence were 4.03 (95% CI, 1.53-10.59), 5.25 (95% CI, 1.98-13.88), and 9.23 (95% CI, 3.29-25.86). Conclusions and Relevance: The findings of this study suggest that higher levels of engagement with the chat-based smoking cessation intervention were associated with greater biochemically validated tobacco abstinence. Improving engagement with digital interventions may increase intervention benefits. Trial Registration: ClinicalTrials.gov Identifier: NCT03182790.

Effect of Adding Personalized Instant Messaging Apps to a Brief Smoking Cessation Model in Community Smokers in Hong Kong: Pragmatic Randomized Clinical Trial.

BACKGROUND: While text messaging has proven effective for smoking cessation (SC), engagement in the intervention remains suboptimal. OBJECTIVE: This study aims to evaluate whether using more interactive and adaptive instant messaging (IM) apps on smartphones, which enable personalization and chatting with SC advisors, can enhance SC outcomes beyond the provision of brief SC advice and active referral (AR) to SC services. METHODS: From December 2018 to November 2019, we proactively recruited 700 adult Chinese daily cigarette users in Hong Kong. Participants were randomized in a 1:1 ratio. At baseline, all participants received face-to-face brief advice on SC. Additionally, they were introduced to local SC services and assisted in selecting one. The intervention group received an additional 26 personalized regular messages and access to interactive chatting through IM apps for 3 months. The regular messages aimed to enhance self-efficacy, social support, and behavioral capacity for quitting, as well as to clarify outcome expectations related to cessation. We developed 3 sets of messages tailored to the planned quit date (within 30 days, 60 days, and undecided). Participants in the intervention group could initiate chatting with SC advisors on IM themselves or through prompts from regular messages or proactive inquiries from SC advisors. The control group received 26 SMS text messages focusing on general health. The primary outcomes were smoking abstinence validated by carbon monoxide levels of <4 parts per million at 6 and 12 months after the start of the intervention. RESULTS: Of the participants, 505/700 (72.1%) were male, and 450/648 (69.4%) were aged 40 or above. Planning to quit within 30 days was reported by 500/648 (77.2%) participants, with fewer intervention group members (124/332, 37.3%) reporting previous quit attempts compared with the control group (152/335, 45.4%; P=.04). At the 6- and 12-month follow-ups (with retention rates of 456/700, 65.1%, and 446/700, 63.7%, respectively), validated abstinence rates were comparable between the intervention (14/350, 4.0%, and 19/350, 5.4%) and control (11/350, 3.1% and 21/350, 6.0%) groups. Compared with the control group, the intervention group reported greater utilization of SC services at 12 months (RR 1.26, 95% CI 1.01-1.56). Within the intervention group, engaging in chat sessions with SC advisors predicted better validated abstinence at 6 months (RR 3.29, 95% CI 1.13-9.63) and any use of SC services (RR 1.66, 95% CI 1.14-2.43 at 6 months; RR 1.67, 95% CI 1.26-2.23 at 12 months). CONCLUSIONS: An IM-based intervention, providing support and assistance alongside brief SC advice and AR, did not yield further increases in quitting rates but did encourage the utilization of SC services. Future research could explore whether enhanced SC service utilization leads to improved long-term SC outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT03800719; https://clinicaltrials.gov/ct2/show/NCT03800719.

Effectiveness of Very Brief Advice on Tobacco Cessation: A Systematic Review and Meta-Analysis.

BACKGROUND: Very brief advice (VBA; ≤ 3 min) on quitting is practical and scalable during brief medical interactions with patients who smoke. This study aims to synthesize the effectiveness of VBA for smoking cessation and summarize the implementation strategies. METHODS: We searched randomized controlled trials aiming at tobacco abstinence and comparing VBA versus no smoking advice or no contact from Medline, Embase, CINAHL, Cochrane Library, PsycInfo databases, six Chinese databases, two trial registries ClinicalTrials.gov and WHO-ICTRP from inception to September 30, 2023. Grading of Recommendations, Assessment, Development, and Evaluations framework was used to assess the certainty of the evidence of the meta-analytic findings. The outcomes were self-reported long-term tobacco abstinence at least 6 months after treatment initiation, earlier than 6 months after treatment initiation, and quit attempts. Effect sizes were computed as risk ratio (RR) with 95% CI using frequentist random-effect models. DATA SYNTHESIS: Thirteen randomized controlled trials from 15 articles (n = 26,437) were included. There was moderate-certainty evidence that VBA significantly increased self-reported tobacco abstinence at ≥ 6 months in the adjusted model (adjusted risk ratio ARR 1.17, 95% CI: 1.07-1.27) compared with controls. The sensitivity analysis showed similar results when abstinence was verified by biochemical validation (n = 6 studies, RR 1.53, 95% CI 0.98-2.40). There was high-certainty evidence that VBA significantly increased abstinence at < 6 months (ARR 1.22, 95% CI: 1.01-1.47). Evidence of effect on quit attempts (ARR 1.03, 95% CI 0.97-1.08) was of very low certainty. DISCUSSION: VBA delivered in a clinical setting is effective in increasing self-reported tobacco abstinence, which provides support for wider adoption in clinical practice.

Efficacy of simple and very brief handgrip and isometric exercises for reducing withdrawal symptoms in cigarette smokers: A pilot randomized controlled trial.

INTRODUCTION: Withdrawal symptoms lead to smoking relapse and reduce the intention to quit. The present pilot RCT examined the effect of simple and very brief handgrip and isometric exercises on reducing withdrawal symptoms, measured by the strength of tobacco craving, Questionnaire of Smoking Urges-Brief (QSU-B), Mood and Physical Symptoms Scale (MPSS), and Positive and Negative Affect Schedule (PANAS). METHODS: In this 2-arm, open-labeled pilot RCT, 30 current smokers who had abstained from tobacco for at least 9 hours were randomly assigned (allocation ratio 1:1) to either the intervention group that watched a 5-minute video and did 5-minute handgrip and isometric exercises (pulling and pushing) or control group that watched 10-minute healthy-diet videos. Measurements were taken before, immediately after, and 10 minutes post-intervention. Outcomes were self-reported strength of tobacco craving, QSU-B, MPSS, and PANAS scores. The effect size for group-by-time interaction was assessed using Cohen's f2 (small=0.02, medium=0.15, large=0.35). RESULTS: Group-by-time interactions showed that the intervention group showed larger reductions than the control group in the strength of tobacco craving (Cohen's f2=0.54, 95% CI: 0.52-0.57), QSU-B (Cohen's f2=0.77; 95% CI: 0.74-0.80), and MPSS (Cohen's f2=0.51; 95% CI: 0.46-0.56) over the three measurement points. CONCLUSIONS: This RCT showed that simple and brief handgrip and isometric exercises could immediately reduce withdrawal symptoms and up to 10 minutes. CLINICAL TRIAL REGISTRATION: in https://clinicaltrials.gov/. IDENTIFIER: NCT04059497.

Association between tobacco industry denormalisation beliefs and support for tobacco endgame policies: a population-based study in Hong Kong.

OBJECTIVES: To examine the associations between tobacco industry denormalisation (TID) beliefs and support for tobacco endgame policies. METHODS: A total of 2810 randomly selected adult respondents of population-based tobacco policy-related surveys (2018-2019) were included. TID beliefs (agree vs disagree/unsure) were measured by seven items: tobacco manufacturers ignore health, induce addiction, hide harm, spread false information, lure smoking, interfere with tobacco control policies and should be responsible for health problems. Score of each item was summed up and dichotomised (median=5, >5 strong beliefs; ≤5 weak beliefs). Support for tobacco endgame policies on total bans of tobacco sales (yes/no) and use (yes/no) was reported. Associations between TID beliefs and tobacco endgame policies support across various smoking status were analysed, adjusting for sociodemographics. RESULTS: Fewer smokers (23.3%) had strong beliefs of TID than ex-smokers (48.4%) and never smokers (48.5%) (p<0.001). Support for total bans on tobacco sales (74.6%) and use (76.9%) was lower in smokers (33.3% and 35.3%) than ex-smokers (74.3% and 77.9%) and never smokers (76.0% and 78.3%) (all p values<0.001). An increase in the number of TID beliefs supported was positively associated with support for a total ban on sales (adjusted risk ratio 1.06, 95% CI 1.05 to 1.08, p<0.001) and use (1.06, 95% CI 1.05 to 1.07, p<0.001). The corresponding associations were stronger in smokers than non-smokers (sales: 1.87 vs 1.25, p value for interaction=0.03; use: 1.78 vs 1.21, p value for interaction=0.03). CONCLUSION: Stronger TID belief was associated with greater support for total bans on tobacco sales and use. TID intervention may increase support for tobacco endgame, especially in current smokers.

Experiences of quitting smoking in prisons: A qualitative study of people in custody.

INTRODUCTION: Smoking prevalence among people in custody (PIC) is extremely high, and prison-based smoking cessation interventions are needed. The study explored the quitting experiences of PIC who participated in the 'Quit to Win' contest (QTW). METHODS: This qualitative study, conducted from 2019 to 2021 in two Hong Kong prisons, included semi-structured individual interviews with 26 PIC (13 men and 13 women) who were participants in QTW and two correctional staff who coordinated QTW. A semi-structured interview guide with open-ended questions was developed to examine multilevel factors that promote or impede smoking cessation in prisons. Maximum variation sampling was used to ensure a diverse range of social, demographic, and smoking profiles. Data were managed and analyzed using thematic analysis. RESULTS: Two themes were identified from the data: 1) quitting in prison: barriers and facilitators; and 2) QTW in prison: a trigger for behavior change. Barriers (i.e. stress, boredom, isolation, lack of self-autonomy, nicotine dependence and lack of cessation medication, barriers to moving to a different wing) and facilitators (i.e. concerns about health, money savings, and the smoke-free wing) that impeded or supported smoking cessation during incarceration were identified. QTW provided health education, quitting incentives, and social support that helped PIC overcome the barriers of quitting by serving as a trigger for behavior change. Notably, social visits with family were identified as key drivers of PIC's quitting success, whereas their suspension during the COVID-19 pandemic disincentivized their abstinence. CONCLUSIONS: This study introduced the QTW contest to prisons and provided qualitative evidence on the multilevel factors promoting or impeding smoking cessation in prison. QTW helped PIC overcome the barriers of quitting by serving as a trigger for behavior change. Future prison-based interventions should leverage social support, enhance stress-coping skills, facilitate access to pharmacotherapy, and collaborate with correctional services agencies.

The learning outcomes of smoking cessation training in undergraduate nursing students: A systematic review.

AIM: To systematically evaluate the effect of smoking cessation training on nursing students' learning outcomes. DESIGN: This systematic review followed the PRISMA guidelines and was registered with PROSPERO (CRD42022373280). METHODS: Ten electronic English and Chinese databases were searched to identify articles on nursing students' smoking cessation training from inception to October 2022. Medical Education Research Study Quality Instrument was used to assess the methodological quality of eligible studies. RESULTS: Twelve moderate methodological quality studies (three randomized controlled trials and nine quasi-experimental studies) with 2114 undergraduate nursing students were included. Teaching strategies included didactic lectures, collaborative learning, blended learning and the service-learning approach. Eight studies showed that the training significantly increased nursing students' knowledge of smoking cessation (p < 0.05) and three of them showed a large effect size (Cohen's d: 0.83-1.31). Seven studies showed that training enhanced students' attitudes/motivation towards smoking cessation interventions significantly (p < 0.05) and two of them showed a large effect size (Cohen's d: 1.11-1.84). Nine studies reported that students' self-efficacy improved significantly after training (p < 0.05) and six of them showed a large effect size (Cohen's d: 0.98-2.18). Two one-group pre-post studies showed training significantly improved students' practice of 5 A's behavior (p < 0.05), with a small effect size (Cohen's d < 0.50). CONCLUSIONS: This review showed that smoking cessation training had a positive and large effect on undergraduate nursing students' knowledge, attitudes/motivation and self-efficacy towards smoking cessation intervention, but the effect of changing the practice of 5 A's was modest. We noted that very few RCTs were done and most studies only used subjective measures. More robust experimental studies with long-term follow-up are warranted in evaluating nursing students' practice/behavior of smoking cessation intervention and patients' quitting outcomes. Blended and collaborative learning are recommended in smoking cessation education.

Corrigendum: Risk perceptions and changes in tobacco use in relation to Coronavirus Disease 2019 pandemic: A qualitative study on adolescent tobacco users in Hong Kong.

[This corrects the article DOI: 10.18332/tid/167479.].

Perceptions of and responses of young adults who use e-cigarettes to flavour bans in China: a qualitative study.

BACKGROUND: China has banned all flavoured e-cigarettes to reduce e-cigarette use among young people, but little is known about the views and reactions of people who use e-cigarettes. This study explored the perceptions of, and responses by, young adults who use e-cigarettes to the flavour ban. METHODS: Semistructured interviews were conducted with 25 Chinese young adults aged 18-25 years who had used e-cigarettes daily in the past 3 months. Thematic analysis was used to analyse the interview data. FINDINGS: Four themes were identified from the data: (1) understanding of the public health benefits, (2) resistance to and misperceptions of the flavour ban, (3) circumvention of the flavour ban and (4) acceptance of the flavour ban. Some participants expressed support for the ban due to perceived public health benefits, while others who resisted the ban emphasised their right to choose preferred flavours and questioned the rationale behind the policy. Participants responded to the flavour ban by utilising a variety of adaptive strategies, including purchasing flavoured e-cigarettes through illegal channels or exploring alternative ways to obtain flavours. Those who complied with the ban responded with different strategies, including switching back to combustible cigarettes, using tobacco-flavoured e-cigarettes, or quitting vaping. CONCLUSIONS: The findings suggest the need for comprehensive regulatory measures, including stringent enforcement measures, transparent health communication and vigilant monitoring of e-cigarette manufacturers' tactics, to reduce e-cigarette use among young adults.

Adverse childhood experiences on internet gaming disorder mediated through insomnia in Chinese young people.

Background: Adverse childhood experiences (ACEs) have been associated with addictions such as substance use disorders. Few have examined ACEs on internet gaming disorder (IGD) as a newly established behavioral addiction, and the potential mediating role of insomnia remains unclear. We examined the associations between ACE number and types, IGD, and insomnia. Methods: Participants included 1, 231 Chinese university students (54.5% male; 56.9% aged 18-20 years) who had played internet games at least once in the previous month. ACEs were measured using the 10-item ACE questionnaire (yes/no). Symptoms of insomnia and IGD were measured using the Insomnia Severity Index and the 9-item Internet Gaming Disorder Scale-Short-Form, respectively. Multivariable regressions examined the associations, adjusting for sex, age, maternal and paternal educational attainment, monthly household income, smoking, and alcohol drinking. The mediating role of insomnia symptoms was explored. Results: The prevalence of ACEs≥1 was 40.0%. Childhood verbal abuse was the most prevalent (17.4%), followed by exposure to domestic violence (17.1%) and childhood physical abuse (15.5%). More ACE numbers showed an association with IGD symptoms (adjusted OR = 1.11, 95% CI 1.04, 1.17). Specifically, IGD symptoms were observed for childhood physical neglect, emotional neglect, sexual abuse, parental divorce or separation, and household substance abuse. Insomnia symptoms mediated the associations of ACE number and types with IGD symptoms (proportion of total effect mediated range 0.23-0.89). Conclusion: The number and specific types of ACEs showed associations with IGD mediated through insomnia. Screening of ACEs is recommended in future studies on IGD. Longitudinal data are warranted to determine the causality of the observed associations.

Effectiveness of personalized smoking cessation intervention based on ecological momentary assessment for smokers who prefer unaided quitting: protocol for a randomized controlled trial.

Introduction: Ecological momentary assessment (EMA)-based smoking cessation intervention may help personalize intervention for smokers who prefer to quit smoking unaided. This study aims to evaluate the effectiveness of EMA-based phone counseling and instant messaging for smoking cessation. Methods/design: This is a two-arm, accessor-blinded, simple individual randomized controlled trial (allocation ratio 1:1). Participants will be recruited from community sites and online platforms in Hong Kong. Interventions will be delivered via a phone call and instant messaging. Current adult smokers who (1) self-report no intention to use smoking cessation services and medication in the coming month and (2) have not used smoking cessation services or nicotine replacement therapy in the past 7 days will be recruited. Recruited participants will be randomized to intervention or control groups via an online randomizer. All participants will be required to complete EMAs (five times per day for 7 consecutive days). The intervention group (n = 220) will receive a nurse-led brief phone counseling immediately after the 1-week EMAs and 10-week EMA-based advice via instant messaging applications (e.g., WhatsApp, WeChat). The 10-week EMA-based advice covers a summary of the 1-week EMAs, and tailored cessation support focused on personalized smoking triggers. The control group (n = 220) will not receive any intervention during the same period. The primary outcomes are participants' progression toward smoking cessation assessed by the Incremental Behavior Change toward Smoking Cessation (IBC-S) and biochemically validated abstinence at the 3-month follow-up. Secondary outcomes include self-reported and biochemically validated tobacco abstinence at the 6-month follow-up. Discussion: The findings will provide evidence that the EMA-based tailored smoking cessation intervention can be adapted as a new health promotion strategy for current smokers who are unwilling to use smoking cessation aids. Clinical trial registration: https://classic.clinicaltrials.gov/ct2/show/NCT05212220, identifier: NCT05212220.

Impact of mandatory masking amid the COVID-19 pandemic on outdoor smoking: an interrupted time-series analysis of a 33-month unobtrusive observational study.

Background: Mask-wearing in outdoor public places in Hong Kong was mandated on 29 July 2020, amid the COVID-19 pandemic. We aimed to evaluate the impact of mandatory masking with no exemption for smoking on outdoor smoking. Methods: We conducted 253 unobtrusive observations at 10 outdoor smoking hotspots in 33 months from July 2019 to March 2022 and counted smokers and non-smoking pedestrians in fixed boundaries. We conducted interrupted time-series analyses on the monthly mean volume of smokers (persons per hour) using generalized linear models. The independent variables were as follows: time since the first observation, implementation of the mask regulation, time since the regulation, seasonality, and waves 1-5 outbreaks. We checked the robustness of the association using the daily mean volume of smokers as the dependent variable. Two sensitivity analyses were conducted to include the hotspot location or the number of all pedestrians as an offset. Results: Monthly outdoor smoking decreased immediately after the regulation (incidence rate ratio [IRR]: 0.505, 95% confidence interval [CI]: 0.374 to 0.680, P < 0.001). Daily smoking analysis and the two sensitivity analyses supported the results. However, monthly outdoor smoking increased by 11% since the regulation (IRR: 1.110, 95% CI: 1.074 to 1.147, P < 0.001). An exception was observed at the most severe wave 5 outbreak when monthly outdoor smoking decreased (IRR: 0.415, 95% CI: 0.327 to 0.525, P < 0.001). Conclusion: Outdoor smoking fell immediately after mandatory masking, rebounded to pre-pandemic levels, and decreased again at the most severe wave 5.

Risk perceptions and changes in tobacco use in relation to Coronavirus Disease 2019 pandemic: A qualitative study on adolescent tobacco users in Hong Kong.

INTRODUCTION: Tobacco use is associated with an increased risk of Coronavirus Disease 2019 (COVID-19) infection, severe COVID-19 outcomes requiring intensive care, and mortality. We investigated the perceived risk of and changes in cigarette, e-cigarette (EC) and heated tobacco product (HTP) use in relation to COVID-19 in Hong Kong adolescent tobacco users. METHODS: We conducted semi-structured telephone interviews from January to April 2021 and in February 2022 on 40 adolescents (65% boys, Secondary school grades 2-6) who participated in our previous smoking surveys and were using cigarettes, ECs or HTPs before the first wave of the COVID-19 pandemic in January 2020. RESULTS: Adolescents generally perceived higher risks of contracting and having more severe COVID-19 from using cigarettes than ECs/HTPs, but they had limited knowledge of COVID-19 risks from EC/HTP use, particularly. Both increased and reduced consumption were found in tobacco, with EC use being the less affected product. Changes also included switching to ECs for convenience and lower cost and shifting from smoking cigarettes outside to mainly at home or in hidden areas. COVID-related policies, fear of infection, non-COVID-related health concerns, less social opportunities and pocket money, and limited access to tobacco products were barriers to tobacco use. In contrast, greater freedom at home versus school and negative emotions due to social distancing were facilitators. Family/peer influence had mixed impacts. CONCLUSIONS: Adolescent tobacco users perceived lower COVID risks associated with HTPs and ECs than cigarettes, and various changes in tobacco use were found amid the pandemic in Hong Kong. COVID-19 and related social changes may both facilitate or deter adolescent tobacco use.

Effect of smoking-related COVID-19 risk messaging on smoking cessation in community smokers: A pragmatic randomized controlled trial.

INTRODUCTION: Observational and experimental studies have suggested that messaging on smoking-related COVID-19 risk may promote smoking abstinence, but evidence from randomized clinical trials (RCTs) is lacking. METHODS: This was a pragmatic RCT in Hong Kong, China, to compare the effectiveness of communicating smoking-related COVID-19 risk with generic cessation support on abstinence. Both groups received brief cessation advice at baseline. The intervention group received messaging on smoking-related COVID-19 risk and cessation support via instant messaging for three months (16 messages in total), which highlighted the increased risk of severe COVID-19 and deaths, and potentially higher risk of viral exposure (e.g. due to mask removal) for smokers. The control group received generic text messaging support for three months (16 messages). The primary outcomes were biochemically validated 7-day point prevalence abstinence (PPA) at 3 and 6 months. Intention to treat analyses was used. RESULTS: Between 13 June and 30 October 2020, 1166 participants were randomly assigned to an intervention (n=583) or control (n=583) group. By intention-to-treat, validated 7-day PPA did not significantly differ between the intervention and control groups at three months (9.6% and 11.8%, relative risk, RR=0.81; 95% CI: 0.58-1.13, p=0.22) or six months (9.3% and 11.7%, RR=0.79; 95% CI: 0.57-1.11, p=0.18). A higher perceived severity of COVID-19 in smokers at baseline was associated with a greater validated 7-day PPA at six months, and a marginally significant intervention effect on changes in perceived severity from baseline through 6 months was found (p for group × time interaction = 0.08). CONCLUSIONS: Communicating smoking-related COVID-19 risk via instant messaging was not more effective in increasing smoking abstinence than generic cessation support. TRIAL REGISTRATION: The study is registered on ClinicalTrials.gov Identifier: NCT04399967.

Perceived increased susceptibility to COVID-19 due to smoking was associated with reduced smoking at home but not on the streets amid the pandemic: A population-based cross-sectional study.

INTRODUCTION: Perceived risk of COVID-19 infection is associated with smoking behaviors, but the change in smoking across different settings are uncertain. We examined the associations of perceived increased susceptibility to COVID-19 due to smoking with change in smoking at home and on the streets. METHODS: We analyzed data of 1120 current cigarette smokers aged ≥15 years from a population-based telephone survey in Hong Kong. Perceived increased susceptibility to COVID-19 due to smoking, change in smoking, intention to quit, and tobacco dependence were measured. We used Poisson regression with robust variance to estimate adjusted risk ratio (ARR) for associations, adjusting for sociodemographic characteristics, intention to quit, and time to first cigarette after waking. RESULTS: More current smokers reduced smoking on the streets (46.1%; 95% CI: 42.8-50.0) than at home (8.7%; 95% CI: 7.0-10.8). Perceived increased susceptibility to COVID-19 due to smoking was associated with smoking reduction at home (ARR=3.29; 95% CI: 1.80-6.00, p<0.001) but not on the streets (ARR=1.13; 95% CI: 0.98-1.30, p=0.09). More smokers with stronger quit intention and lower tobacco dependence reduced smoking at home but not on the streets in those with high perceived increased susceptibility to COVID-19 due to smoking. CONCLUSIONS: This is the first report showing that more cigarette smokers reduced smoking on the streets than at home, and the perceived increased susceptibility to COVID-19 due to smoking was only associated with smoking reduction at home but not on the streets. Improving smokers' awareness of the susceptibility to COVID-19 may be an effective strategy to reduce tobacco consumption and secondhand smoke exposure at home within the context of future respiratory pandemics.

Increase of unmotivated and hardened smokers in Hong Kong: a repeated cross-sectional trend analysis.

OBJECTIVES: To examine the trends in the prevalence of hardening indicators and hardened smokers in Hong Kong, where the low smoking prevalence has plateaued in the recent decade. METHODS: This is an analysis of repeated cross-sectional data from 9 territory-wide smoking cessation campaigns conducted annually from 2009 to 2018 (except 2011). Participants were 9837 biochemically verified daily cigarette smokers aged ≥18 years (18.5% female, mean age 43.2±14.2 years) recruited from the communities. Hardening indicators included heavy smoking (>15 CPD), high nicotine dependence (Heaviness of Smoking Index ≥5), no intention to quit within next 30 days and no past-year quit attempt. Perceived importance, confidence and difficulty of quitting were measured (each ranged 0-10). Multivariable regressions were used to model the changes in hardening indicators by calendar year, adjusting for sociodemographic characteristics. RESULTS: From 2009 to 2018, the prevalence of heavy smoking decreased from 57.6% to 39.4% (p<0.001), high nicotine dependence also decreased from 10.5% to 8.6% (p=0.06). However, the proportion of smokers with no intention to quit (12.7%-69.0%) and no past-year quit attempt (74.4%-80.4%) significantly increased (both p values <0.001). Hardened smokers (heavy smoking, no intention to quit, no past-year attempt quit attempt) significantly increased from 5.9% to 20.7% (p<0.001). Mean perceived importance (from 7.9±2.3 to 6.6±2.5) and confidence (from 6.2±2.6 to 5.3±2.4) of quitting also decreased significantly (all p values <0.001). CONCLUSIONS: Daily cigarette smokers in Hong Kong were motivational hardening, but not dependence hardening. Effective tobacco control policies and interventions are warranted to motivate quitting to further reduce smoking prevalence.

Effect of mobile interventions with nicotine replacement therapy sampling on long-term smoking cessation in community smokers: A pragmatic randomized clinical trial.

INTRODUCTION: Mobile interventions enable personalized behavioral support that could improve smoking cessation (SC) in smokers ready to quit. Scalable interventions, including unmotivated smokers, are needed. We evaluated the effect of personalized behavioral support through mobile interventions plus nicotine replacement therapy sampling (NRT-S) on SC in Hong Kong community smokers. METHODS: A total of 664 adult daily cigarette smokers (74.4% male, 51.7% not ready to quit in 30 days) were proactively recruited from smoking hotspots and individually randomized (1:1) to the intervention and control groups (each, n=332). Both groups received brief advice and active referral to SC services. The intervention group received 1-week NRT-S at baseline and 12-week personalized behavioral support through SC advisor-delivered Instant Messaging (IM) and a fully automated chatbot. The control group received regular text messages regarding general health at a similar frequency. Primary outcomes were carbon monoxide-validated smoking abstinence at 6 and 12 months post-treatment initiation. Secondary outcomes included self-reported 7-day point-prevalence and 24-week continuous abstinence, quit attempts, smoking reduction, and SC service use at 6 and 12 months. RESULTS: By intention-to-treat, the intervention group did not significantly increase validated abstinence at 6 months (3.9% vs 3.0%, OR=1.31; 95% CI: 0.57-3.04) and 12 months (5.4% vs 4.5%, OR=1.21; 95% CI: 0.60-2.45), as were self-reported 7-day point-prevalence abstinence, smoking reduction, and SC service use at 6 and 12 months. More participants in the intervention than control group made a quit attempt by 6 months (47.0% vs 38.0%, OR=1.45; 95% CI: 1.06-1.97). Intervention engagement rates were low, but engagement in IM alone or combined with chatbot showed higher abstinence at 6 months (adjusted odds ratios, AORs=4.71 and 8.95, both p<0.05). CONCLUSIONS: Personalized behavioral support through mobile interventions plus NRT-S did not significantly improve abstinence in community smokers compared to text only messaging. The suboptimal intervention engagement needs to be addressed in future studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04001972.