A prospective examination of online social network dynamics and smoking cessation

Online social platform engagement by young treatment seekers in a digital vaping cessation intervention: Effects on confidence in the ability to quit vaping and vaping abstinence

Background

The evidence-based vaping cessation program, This is Quitting (TIQ), has been found to be effective in promoting abstinence among young people who use e-cigarettes.

Purpose

To estimate acceptability and engagement with Discord among treatment seeking youth and young adults and assess the benefit of adding an online social platform via Discord to TIQ.

Methods

Between February and March 2023, 527 TIQ participants (aged 13-24 years) were invited to join Discord with other TIQ users (TIQ Discord). Participants completed two online surveys, at baseline and 1-month post study enrollment. Descriptive statistics were used to describe acceptability and engagement with TIQ Discord. Chi-square, Fisher's exact, and t-tests were used to compare changes in confidence in ability to quit and vaping abstinence across those who joined and engaged with TIQ Discord, compared to those receiving TIQ only.

Results

Among the n = 319 who were invited to TIQ Discord and provided follow-up data, 57.4 % joined. Among those who joined (n = 183), 61.7 % engaged with TIQ Discord by contributing at least one message or reaction. The mean number of contributed messages was 4.0 (median = 1, range = 1 to 51) and reactions was 0.31 (median = 0, range = 0 to 14). Engaging with TIQ Discord was positively associated with increased confidence in quitting at follow-up (p-value = 0.02), but vaping abstinence at follow-up did not differ (p-value = 0.87).

Discussion

Over half of participants who were invited to TIQ Discord joined - indicating high acceptability and an uptake rate that is higher than what is typically observed for online cessation communities. Engagement was positively associated with proximal outcomes, but self-selection prevents causal attribution. Pilot study results suggest acceptability of Discord for providing digital cessation support to young people in combination with a text-message cessation intervention.

Can an Acceptance and Commitment Therapy-Based Smartphone App Help Individuals with Mental Health Disorders Quit Smoking?

Background

Individuals with mental health disorders face major barriers in accessing smoking cessation care, often due to the stigmas associated with mental disorders and addiction. Consequently, accessible population-based smoking cessation interventions are needed for this vulnerable group.

Objective

This secondary analysis utilized data from a 12-month randomized trial to examine whether an acceptance and commitment therapy-based app (iCanQuit) demonstrated greater efficacy, engagement, and satisfaction compared to a United States (US) Clinical Practice Guidelines-based app (QuitGuide) in helping adults with mental health disorders quit smoking.

Materials and Methods

Participants self-reported having bipolar disorder or schizophrenia, or screened positive for depression, generalized anxiety, panic disorder, posttraumatic stress disorder, or social anxiety. We compared the primary outcome of self-reported 30-day cigarette abstinence at 12 months between iCanQuit (n = 770) and QuitGuide (n = 785) using complete-case and multiple imputation analyses and compared engagement and satisfaction between arms. Mediation analyses were conducted to examine whether the intervention apps functioned by reinforcing hypothesized mechanisms of action, namely, acceptance of triggers to smoke and through app engagement.

Results

Participants represented all 50 US states and had 30.2% non-White or Hispanic backgrounds. Among participants with any mental health disorder, iCanQuit demonstrated higher 30-day cigarette abstinence than QuitGuide at 12 months (complete-case: 24.4% vs. 20.4%, P = 0.04; multiple imputation: 24.6% vs. 20.4%, P = 0.04). A comparable effect size was observed in iCanQuit participants with bipolar disorder or schizophrenia compared to QuitGuide, albeit not statistically significant (multiple imputation: 27.1% vs. 20.9%; P = 0.06). iCanQuit's cessation efficacy was mediated by acceptance of emotions triggering smoking (P < 0.001) and app engagement (P < 0.001). iCanQuit was more satisfying than QuitGuide (88.5% vs. 77.2%; P < 0.001).

Conclusions

In the largest known study of ACT for smoking cessation among adults with mental health disorders, the smoking cessation, engagement, and satisfaction outcomes were all significantly greater with iCanQuit than QuitGuide. Acceptance of emotions triggering smoking and iCanQuit app engagement were important mechanisms of efficacy. This trial is registered with NCT02724462.

The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS

BACKGROUND

To nurture a new online community for health behavior change, a fruitful strategy is to recruit "seed users" to create content and encourage participation.

PURPOSE

This study evaluated the impact of support from seed users in an online community for smoking cessation among people living with HIV/AIDS and explored the linguistic characteristics of their interactions.

METHODS

These secondary analyses examined data from a randomized trial of a smoking cessation intervention for HIV+ smokers delivered via an online health community (OHC). The analytic sample comprised n = 188 participants randomized to the intervention arm who participated in the community. Independent variables were OHC interactions categorized by participant interlocutor type (study participant, seed user) and interaction type (active, passive). The primary outcome was biochemically verified 7-day abstinence from cigarettes measured 3 months post-randomization; 30-day abstinence was examined for robustness.

RESULTS

Logistic regression models showed that participants' interactions with seed users were a positive predictor of abstinence but interactions with other study participants were not. Specifically, the odds of abstinence increased as the number of posts received from seed users increased. Exploratory linguistic analyses revealed that seed users wrote longer comments which included more frequent use of "we" and "you" pronouns and that study participants users used more first-person singular pronouns ("I").

CONCLUSIONS

Seeding a community at its inception and nurturing its growth through seed users may be a scalable way to foster behavior change among OHC members. These findings have implications for the design and management of an OHC capable of promoting smoking cessation.

Cardiopulmonary Impact of Electronic Cigarettes and Vaping Products: A Scientific Statement From the American Heart Association

Vaping and electronic cigarette (e-cigarette) use have grown exponentially in the past decade, particularly among youth and young adults. Cigarette smoking is a risk factor for both cardiovascular and pulmonary disease. Because of their more limited ingredients and the absence of combustion, e-cigarettes and vaping products are often touted as safer alternative and potential tobacco-cessation products. The outbreak of e-cigarette or vaping product use-associated lung injury in the United States in 2019, which led to >2800 hospitalizations, highlighted the risks of e-cigarettes and vaping products. Currently, all e-cigarettes are regulated as tobacco products and thus do not undergo the premarket animal and human safety studies required of a drug product or medical device. Because youth prevalence of e-cigarette and vaping product use was as high as 27.5% in high school students in 2019 in the United States, it is critical to assess the short-term and long-term health effects of these products, as well as the development of interventional and public health efforts to reduce youth use. The objectives of this scientific statement are (1) to describe and discuss e-cigarettes and vaping products use patterns among youth and adults; (2) to identify harmful and potentially harmful constituents in vaping aerosols; (3) to critically assess the molecular, animal, and clinical evidence on the acute and chronic cardiovascular and pulmonary risks of e-cigarette and vaping products use; (4) to describe the current evidence of e-cigarettes and vaping products as potential tobacco-cessation products; and (5) to summarize current public health and regulatory efforts of e-cigarettes and vaping products. It is timely, therefore, to review the short-term and especially the long-term implications of e-cigarettes and vaping products on cardiopulmonary health. Early molecular and clinical evidence suggests various acute physiological effects from electronic nicotine delivery systems, particularly those containing nicotine. Additional clinical and animal-exposure model research is critically needed as the use of these products continues to grow.

Discerning conversational context in online health communities for personalized digital behavior change solutions using Pragmatics to Reveal Intent in Social Media (PRISM) framework

BACKGROUND

Online health communities (OHCs) have emerged as prominent platforms for behavior modification, and the digitization of online peer interactions has afforded researchers with unique opportunities to model multilevel mechanisms that drive behavior change. Existing studies, however, have been limited by a lack of methods that allow the capture of conversational context and socio-behavioral dynamics at scale, as manifested in these digital platforms.

OBJECTIVE

We develop, evaluate, and apply a novel methodological framework, Pragmatics to Reveal Intent in Social Media (PRISM), to facilitate granular characterization of peer interactions by combining multidimensional facets of human communication.

METHODS

We developed and applied PRISM to analyze peer interactions (N = 2.23 million) in QuitNet, an OHC for tobacco cessation. First, we generated a labeled set of peer interactions (n = 2,005) through manual annotation along three dimensions: communication themes (CTs), behavior change techniques (BCTs), and speech acts (SAs). Second, we used deep learning models to apply our qualitative codes at scale. Third, we applied our validated model to perform a retrospective analysis. Finally, using social network analysis (SNA), we portrayed large-scale patterns and relationships among the aforementioned communication dimensions embedded in peer interactions in QuitNet.

RESULTS

Qualitative analysis showed that the themes of social support and behavioral progress were common. The most used BCTs were feedback and monitoring and comparison of behavior, and users most commonly expressed their intentions using SAs-expressive and emotion. With additional in-domain pre-training, bidirectional encoder representations from Transformers (BERT) outperformed other deep learning models on the classification tasks. Content-specific SNA revealed that users' engagement or abstinence status is associated with the prevalence of various categories of BCTs and SAs, which also was evident from the visualization of network structures.

CONCLUSIONS

Our study describes the interplay of multilevel characteristics of online communication and their association with individual health behaviors.

Usage of digital, social and goal-setting functionalities to support health behavior change: A mixed methods study among disadvantaged women during or after pregnancy and their healthcare professionals

OBJECTIVE

We aimed to gain insight into how and to what extent social (i.e. private/group chat) and goal-setting (e.g. rewards) functionalities in digital interventions for health behavior change were used by clients and nurses in a preventive care program for disadvantaged women during or after pregnancy, and which factors influenced usage.

METHODS

We collected quantitative and qualitative data on usage of these functionalities in 'Kindle', a mHealth intervention to prepare for health behavior change.

RESULTS

We found that nurses (n = 5) and clients (n = 20) scarcely used both functionalities. They sent 862 messages in the social functionality whose security they appreciated, but habitually used WhatsApp likewise. Moreover, nurses were hesitant to let their clients interact in the group chat. Clients formulated 59 personal goals, which they found difficult to do. Nurses rewarded 846 points for clients' progress on goal attainment, but found it hard to determine how many points to reward. Clients and nurses indicated that the functionality made it more fun and easy to discuss clients' personal goals.

CONCLUSIONS

To conclude, digital, social and goal-setting functionalities were used to a limited extent by nurses and clients, and need optimization before implementation to support disadvantaged groups to change their health behavior.

Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial

BACKGROUND

Little is known about how individuals engage over time with smartphone app interventions and whether this engagement predicts health outcomes.

OBJECTIVE

In the context of a randomized trial comparing 2 smartphone apps for smoking cessation, this study aimed to determine distinct groups of smartphone app log-in trajectories over a 6-month period, their association with smoking cessation outcomes at 12 months, and baseline user characteristics that predict data-driven trajectory group membership.

METHODS

Functional clustering of 182 consecutive days of smoothed log-in data from both arms of a large (N=2415) randomized trial of 2 smartphone apps for smoking cessation (iCanQuit and QuitGuide) was used to identify distinct trajectory groups. Logistic regression was used to determine the association of group membership with the primary outcome of 30-day point prevalence of smoking abstinence at 12 months. Finally, the baseline characteristics associated with group membership were examined using logistic and multinomial logistic regression. The analyses were conducted separately for each app.

RESULTS

For iCanQuit, participants were clustered into 3 groups: "1-week users" (610/1069, 57.06%), "4-week users" (303/1069, 28.34%), and "26-week users" (156/1069, 14.59%). For smoking cessation rates at the 12-month follow-up, compared with 1-week users, 4-week users had 50% higher odds of cessation (30% vs 23%; odds ratio [OR] 1.50, 95% CI 1.05-2.14; P=.03), whereas 26-week users had 397% higher odds (56% vs 23%; OR 4.97, 95% CI 3.31-7.52; P<.001). For QuitGuide, participants were clustered into 2 groups: "1-week users" (695/1064, 65.32%) and "3-week users" (369/1064, 34.68%). The difference in the odds of being abstinent at 12 months for 3-week users versus 1-week users was minimal (23% vs 21%; OR 1.16, 95% CI 0.84-1.62; P=.37). Different baseline characteristics predicted the trajectory group membership for each app.

CONCLUSIONS

Patterns of 1-, 3-, and 4-week smartphone app use for smoking cessation may be common in how people engage in digital health interventions. There were significantly higher odds of quitting smoking among 4-week users and especially among 26-week users of the iCanQuit app. To improve study outcomes, strategies for detecting users who disengage early from these interventions (1-week users) and proactively offering them a more intensive intervention could be fruitful.

Mixed methods evaluation of the ‘real-world’ implementation of group-based behavioral stop smoking support through Facebook

INTRODUCTION

While promising evidence from trials of social-media-based stop smoking support informs service-planning, there is a need for more prospective, observational studies of smoking cessation interventions to build ‘real-world’ evidence. Specifically, user experiences have been under-explored with qualitative methods to date. This mixed-method evaluation of a closed Facebook group-based behavioral stop smoking support program, which was conducted in Ireland in 2018, aimed to address these issues.

METHODS

Pre- and post-program surveys measured smoking abstinence (self-reported 7-day point prevalence), changes in smoking attitudes and behavior, and participant experiences. Engagement with Facebook was measured through counting ‘likes’ and comments, and was used to categorize groups as ‘more active’ and ‘less active’ over a 12-week period of support. Thematic content analysis of semi-structured participant interviews explored program experience in depth.

RESULTS

In total, 13 of 52 participants reported smoking abstinence post-program (25.0%, 95% CI: 14.0–39.0). Participant engagement with Facebook was variable and decreased over the program. Membership of a ‘more active’ group was associated with better reported participant experience (e.g. 90.9% agreeing ‘Facebook group helped me to quit or reduce smoking’, versus 33.3% in the ‘less active’ group, p<0.05). Qualitative analysis identified three over-arching themes: importance of social interactions; perception of health information; and appeal of online support.

CONCLUSIONS

Facebook can be used to deliver group-based behavioral stop smoking support in the real world. In Ireland, the one-month post-program abstinence outcomes achieved by other stop smoking services is approximately 50%, and while the outcomes for this service was lower (25%), it is still better than outcomes estimated for unassisted quitting. Engagement and peer-to-peer interactivity should be maximized to support positive participant experience.

Randomized Trial of a Web-Based Tobacco Treatment and Online Community Support for People With HIV Attempting to Quit Smoking Cigarettes

BACKGROUND

Persons with HIV (PWH) in the United States (US) smoke cigarettes at approximately triple the rate of the general adult population and are less successful in their quit attempts than other smokers. This randomized trial tested whether a novel web-based cessation program for PWH yielded higher cigarette quit rates compared with a control program.

SETTING

Two urban HIV care sites in NYC and Baltimore.

METHODS

Between 2016 and 2020, 506 PWH were randomized to either Positively Smoke Free on the Web (PSFW+; N = 255), a multimodal platform, interactive web intervention hosted within an online social network to support quitting among PWH who smoke, and an attention-matched web-based control intervention (American Heart Association Getting Healthy; N = 251). All participants were offered 12 weeks of nicotine patch. Our primary outcome was biochemically confirmed exhaled carbon monoxide < 10 parts per million (ppm) 7-day point prevalence abstinence at 6 months.

RESULTS

Participants were middle-aged (mean 50.2 years; range 23-73 years), 57% male, 19% Latinx, 83% Black, and 13% White. At 6 months, a significantly greater percentage of PSFW+ participants (14.9%) achieved biochemically confirmed 7-day point prevalence abstinence in intent-to-treat analysis compared with 8.8% of American Heart Association Getting Healthy participants [odds ratio =1.82 (95% confidence interval =1.04 to 3.18), P = 0.03].

CONCLUSIONS

PSFW+ is a promising cessation intervention composed of empirically tested content and real-time social support through an online social network that was found to promote abstinence. This digital approach has broad reach and scalability, can be easily integrated into comprehensive HIV care, and represents an advance in the fight against tobacco use among PWH.

Buddies as In-Group Influencers in Online Support Groups: A Social Network Analysis of Processes and Outcomes

Buddies, serving as in-group influencers to aid demographically similar cobuddies, are extensively used in face-to-face support groups to enhance positive social influence. The authors examine the efficacy of buddies in online support groups and investigate underlying mediating processes using social network analysis. They observe what happens when members of support groups for quitting smoking, including members who are relatively active and less active in the group, after a few days are called on to be buddies and assigned to specific cobuddies. The findings indicate that, consistent with normative expectations for buddies, members form especially strong ties with their designated cobuddies. The more active buddies are in the group, the stronger the ties they form with their cobuddies and, in turn, their cobuddies form stronger ties with group members overall, which then relates to cobuddy goal attainment. The findings suggest that interactive marketers should consider using buddies in online support groups but observe activity levels before making buddy assignments, because positive outcomes are contingent on buddies being active in the group. Marketers should also ensure that online support group members post to everyone, not just their buddies, because ties formed among group members as a whole are crucial for goal attainment.

An Avatar-Led Digital Smoking Cessation Program for Sexual and Gender Minority Young Adults: Intervention Development and Results of a Single-Arm Pilot Trial

BACKGROUND

Sexual and gender minority young adults have a high prevalence of smoking and unique barriers to accessing tobacco treatment.

OBJECTIVE

To address these challenges as well as their preferences for sexual and gender minority-targeted interventions and digital programs, we developed and evaluated the acceptability, preliminary efficacy, and impact on theory-based change processes of an acceptance and commitment therapy-based digital program called Empowered, Queer, Quitting, and Living (EQQUAL).

METHODS

Participants (n=22) of a single-arm trial conducted to evaluate the program were young adults, age 18 to 30 years, who self-identified as sexual and gender minority individuals and smoked at least one cigarette per day. All participants received access to the EQQUAL program. Participants completed web-based surveys at baseline and at a follow-up 2 months after enrollment. We verified self-reported smoking abstinence with biochemical testing; missing data were counted as smoking or using tobacco.

RESULTS

For young adults who logged in at least once (n=18), the mean number of log-ins was 5.5 (SD 3.6), mean number of sessions completed was 3.1 (SD 2.6), and 39% (7/18) completed all 6 sessions. Overall, 93% of participants (14/15) were satisfied with the EQQUAL program, 100% (15/15) found it easy to use, and 100% (15/15) said it helped them be clearer about how to quit. Abstinence from smoking or using tobacco was confirmed with biochemical testing for 23% of participants (5/22). Both quantitative and qualitative results suggested a positive overall response to the avatar guide, with areas for future improvement largely centered on the avatar's appearance and movements.

CONCLUSIONS

Treatment acceptability of EQQUAL was very promising. The rate of abstinence, which was biochemically confirmed, was 3 times higher than that of the only other digital program to date that has targeted sexual and gender minority young adults and 6 to 13 times higher than those of nontargeted digital smoking interventions among sexual and gender minority young adults. Planned improvements for the next iteration of the program include making the avatar's movements more natural; offering multiple avatar guides with different on characteristics such as race, ethnicity, and gender identity from which to choose; and providing a support forum for users to connect anonymously with peers.

Cigarette Smoking and Dating App Use: Findings from a Survey in a Sample of Adults in Italy

Existing studies in the literature indicate an association between the use of dating apps and substance-related behaviours (i.e., alcohol consumption, drug consumption). However, to date, no studies investigated the relation between dating app use and smoking. This study aims to explore this association. A total of 1278 respondents completed an online ad hoc questionnaire assessing demographics, smoking habits, dating app use, motivations for using dating apps. Multiple logistic regression analyses were run to investigate the relation between demographics and dating apps use on tobacco consumption. Being active user was significantly associated with being smoker, light daily and moderate-to-heavy smoker. Among users, using apps with the motive of searching for friends accounted for lower odds of smoking, light daily smoking and moderate-to-heavy smoking. However, heavy dating app users were less likely to smoke, to be light daily smokers and to be moderate-to-heavy smokers. The study indicates an association between using the apps and smoking, suggesting that motives for using the apps and intensity of use may moderate this association.

Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population

BACKGROUND

Social networking platforms offer a wide reach for public health interventions allowing communication with broad audiences using tools that are generally free and straightforward to use and may be combined with other components, such as public health policies. We define interactive social media as activities, practices, or behaviours among communities of people who have gathered online to interactively share information, knowledge, and opinions.

OBJECTIVES

We aimed to assess the effectiveness of interactive social media interventions, in which adults are able to communicate directly with each other, on changing health behaviours, body functions, psychological health, well-being, and adverse effects. Our secondary objective was to assess the effects of these interventions on the health of populations who experience health inequity as defined by PROGRESS-Plus. We assessed whether there is evidence about PROGRESS-Plus populations being included in studies and whether results are analysed across any of these characteristics.

SEARCH METHODS

We searched CENTRAL, CINAHL, Embase, MEDLINE (including trial registries) and PsycINFO. We used Google, Web of Science, and relevant web sites to identify additional studies and searched reference lists of included studies. We searched for published and unpublished studies from 2001 until June 1, 2020. We did not limit results by language.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), controlled before-and-after (CBAs) and interrupted time series studies (ITSs). We included studies in which the intervention website, app, or social media platform described a goal of changing a health behaviour, or included a behaviour change technique. The social media intervention had to be delivered to adults via a commonly-used social media platform or one that mimicked a commonly-used platform. We included studies comparing an interactive social media intervention alone or as a component of a multi-component intervention with either a non-interactive social media control or an active but less-interactive social media comparator (e.g. a moderated versus an unmoderated discussion group). Our main outcomes were health behaviours (e.g. physical activity), body function outcomes (e.g. blood glucose), psychological health outcomes (e.g. depression), well-being, and adverse events. Our secondary outcomes were process outcomes important for behaviour change and included knowledge, attitudes, intention and motivation, perceived susceptibility, self-efficacy, and social support.

DATA COLLECTION AND ANALYSIS

We used a pre-tested data extraction form and collected data independently, in duplicate. Because we aimed to assess broad outcomes, we extracted only one outcome per main and secondary outcome categories prioritised by those that were the primary outcome as reported by the study authors, used in a sample size calculation, and patient-important.

MAIN RESULTS

We included 88 studies (871,378 participants), of which 84 were RCTs, three were CBAs and one was an ITS. The majority of the studies were conducted in the USA (54%). In total, 86% were conducted in high-income countries and the remaining 14% in upper middle-income countries. The most commonly used social media platform was Facebook (39%) with few studies utilising other platforms such as WeChat, Twitter, WhatsApp, and Google Hangouts. Many studies (48%) used web-based communities or apps that mimic functions of these well-known social media platforms. We compared studies assessing interactive social media interventions with non-interactive social media interventions, which included paper-based or in-person interventions or no intervention. We only reported the RCT results in our 'Summary of findings' table. We found a range of effects on health behaviours, such as breastfeeding, condom use, diet quality, medication adherence, medical screening and testing, physical activity, tobacco use, and vaccination. For example, these interventions may increase physical activity and medical screening tests but there was little to no effect for other health behaviours, such as improved diet or reduced tobacco use (20,139 participants in 54 RCTs). For body function outcomes, interactive social media interventions may result in small but important positive effects, such as a small but important positive effect on weight loss and a small but important reduction in resting heart rate (4521 participants in 30 RCTs). Interactive social media may improve overall well-being (standardised mean difference (SMD) 0.46, 95% confidence interval (CI) 0.14 to 0.79, moderate effect, low-certainty evidence) demonstrated by an increase of 3.77 points on a general well-being scale (from 1.15 to 6.48 points higher) where scores range from 14 to 70 (3792 participants in 16 studies). We found no difference in effect on psychological outcomes (depression and distress) representing a difference of 0.1 points on a standard scale in which scores range from 0 to 63 points (SMD -0.01, 95% CI -0.14 to 0.12, low-certainty evidence, 2070 participants in 12 RCTs). We also compared studies assessing interactive social media interventions with those with an active but less interactive social media control (11 studies). Four RCTs (1523 participants) that reported on physical activity found an improvement demonstrated by an increase of 28 minutes of moderate-to-vigorous physical activity per week (from 10 to 47 minutes more, SMD 0.35, 95% CI 0.12 to 0.59, small effect, very low-certainty evidence). Two studies found little to no difference in well-being for those in the intervention and control groups (SMD 0.02, 95% CI -0.08 to 0.13, small effect, low-certainty evidence), demonstrated by a mean change of 0.4 points on a scale with a range of 0 to 100. Adverse events related to the social media component of the interventions, such as privacy issues, were not reported in any of our included studies. We were unable to conduct planned subgroup analyses related to health equity as only four studies reported relevant data.

AUTHORS' CONCLUSIONS

This review combined data for a variety of outcomes and found that social media interventions that aim to increase physical activity may be effective and social media interventions may improve well-being. While we assessed many other outcomes, there were too few studies to compare or, where there were studies, the evidence was uncertain. None of our included studies reported adverse effects related to the social media component of the intervention. Future studies should assess adverse events related to the interactive social media component and should report on population characteristics to increase our understanding of the potential effect of these interventions on reducing health inequities.

Social Network Analysis of an Online Smoking Cessation Community to Identify Users' Smoking Status

Objectives

Users share valuable information through online smoking cessation communities (OSCCs), which help people maintain and improve smoking cessation behavior. Although OSCC utilization is common among smokers, limitations exist in identifying the smoking status of OSCC users (“quit” vs. “not quit”). Thus, the current study implicitly analyzed user-generated content (UGC) to identify individual users’ smoking status through advanced computational methods and real data from an OSCC.

Methods

Secondary data analysis was conducted using data from 3,833 users of BcomeAnEX.org. Domain experts reviewed posts and comments to determine the authors’ smoking status when they wrote them. Seven types of feature sets were extracted from UGC (textual, Doc2Vec, social influence, domain-specific, author-based, and thread-based features, as well as adjacent posts).

Results

Introducing novel features boosted smoking status recognition (quit vs. not quit) by 9.3% relative to the use of text-only post features. Furthermore, advanced computational methods outperformed baseline algorithms across all models and increased the smoking status prediction performance by up to 12%.

Conclusions

The results of this study suggest that the current research method provides a valuable platform for researchers involved in online cessation interventions and furnishes a framework for on-going machine learning applications. The results may help practitioners design a sustainable real-time intervention via personalized post recommendations in OSCCs. A major limitation is that only users’ smoking status was detected. Future research might involve programming machine learning classification methods to identify abstinence duration using larger datasets.

Connectedness Based on Shared Engagement Predicts Remote Biochemically Verified Quit Status Within Smoking Cessation Treatment Groups on Facebook

INTRODUCTION

Engagement with online content and online social network integration are associated with smoking behavior change, but less is known about social dynamics of shared engagement between participants in group-based social media interventions.

METHODS

Participants were 251 young adult smokers aged 18 to 25 assigned to one of 29 secret Facebook groups tailored to their readiness to quit smoking ("pre-contemplation," "contemplation," and "preparation"). Groups varied in size and were randomly assigned to receive monetary incentives for engagement. All groups received daily posts for 90 days and were assessed for remote biochemically verified smoking abstinence at the end of the intervention. Across 29 groups, we examined associations between group features (group size, incentive condition, readiness to quit) with how connected members were within the group based on shared engagement with the same content (measured by density). At the individual level, we examined associations between 7-day biochemically verified smoking abstinence and how connected an individual was within the group (measured by degree centrality).

RESULTS

After adjusting for comment volume, being in a contemplation group (vs. pre-contemplation group) was associated with a decrease in comment-based density. Individual degree centrality was significantly associated with biochemically verified smoking abstinence for both comments and likes.

CONCLUSIONS

Future group-based social media interventions for smoking cessation may want to focus on promoting connected engagement between participants, rather than simply quantity of engagement.

IMPLICATIONS

Participants in a smoking cessation intervention delivered through Facebook groups were more likely to have biochemically verified smoking abstinence if they were more connected to the rest of the group via shared engagement. Promoting shared engagement between participants may be more likely to promote behavior change than volume of engagement alone.

Engaging People in Tobacco Prevention and Cessation: Reflecting Back Over 20 Years Since the Master Settlement Agreement

Over the past 20 years, tobacco prevention and cessation efforts have evolved to keep pace with the changing tobacco product landscape and the widespread adoption of digital technologies. In 2019, Truth Initiative was awarded the Society of Behavioral Medicine’s Jessie Gruman Award for Health Engagement in recognition of the major role it has played on both fronts since its inception in 1999. This manuscript reviews the challenges and opportunities that have emerged over the past two decades, the evolving tactics deployed by Truth Initiative to engage people in tobacco prevention and cessation efforts, the approaches used to evaluate those efforts, and key achievements. It concludes with a summary of lessons learned and considerations for tobacco control researchers and practitioners to accelerate their impact on public health.

Online Interventions for the Selective Prevention of Illicit Drug Use in Young Drug Users: Exploratory Study

Background

Digital technologies have a major impact on the daily lives of young people and are also used to seek information on and help with drug-related issues online.

Objective

The aim of this article was to analyze current online interventions for young drug users in Slovenia, with the purpose of contributing to the development of guidelines and key recommendations for effective online interventions.

Methods

This study was part of the project Click for Support. We performed a keyword search, received input from national experts in the field of drug prevention, and conducted an assessment of recognized national online interventions through workshop-based discussions with the target group of 20 young drug users.

Results

The current online intervention services in Slovenia are satisfactory but are still not sufficiently recognized. The most important issues for young drug users were the design and functionality of the online intervention, presence of a clear structure, possibility of using it on smartphones, comprehensive and quick professional feedback, and data security. Playful elements and the ability to share (experiences) with other or former users were also recognized as important.

Conclusions

With effective online interventions, we can include more young drug users, facilitate access to a more affordable service, provide quick professional feedback on patterns of consumption, increase knowledge about the effects and consequences of drugs, and support the reduction or cessation of drug use. From the public health perspective, it is challenging to provide drug interventions broadly to the target group and, hence, decrease inequities.

Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment

BACKGROUND

Smoking remains a leading cause of preventable death and illness. Internet interventions for smoking cessation have the potential to significantly impact public health, given their broad reach and proven effectiveness. Given the dose-response association between engagement and behavior change, identifying strategies to promote engagement is a priority across digital health interventions. Text messaging is a proven smoking cessation treatment modality and a powerful strategy to increase intervention engagement in other areas of health, but it has not been tested as an engagement strategy for a digital cessation intervention.

OBJECTIVE

This study examined the impact of 4 experimental text message design factors on adult smokers' engagement with an internet smoking cessation program.

METHODS

We conducted a 2×2×2×2 full factorial screening experiment wherein 864 participants were randomized to 1 of 16 experimental conditions after registering with a free internet smoking cessation program and enrolling in its automated text message program. Experimental factors were personalization (on/off), integration between the web and text message platforms (on/off), dynamic tailoring of intervention content based on user engagement (on/off), and message intensity (tapered vs abrupt drop-off). Primary outcomes were 3-month measures of engagement (ie, page views, time on site, and return visits to the website) as well as use of 6 interactive features of the internet program. All metrics were automatically tracked; there were no missing data.

RESULTS

Main effects were detected for integration and dynamic tailoring. Integration significantly increased interactive feature use by participants, whereas dynamic tailoring increased the number of features used and page views. No main effects were found for message intensity or personalization alone, although several synergistic interactions with other experimental features were observed. Synergistic effects, when all experimental factors were active, resulted in the highest rates of interactive feature use and the greatest proportion of participants at high levels of engagement. Measured in terms of standardized mean differences (SMDs), effects on interactive feature use were highest for Build Support System (SMD 0.56; 95% CI 0.27 to 0.81), Choose Quit Smoking Aid (SMD 0.38; 95% CI 0.10 to 0.66), and Track Smoking Triggers (SMD 0.33; 95% CI 0.05 to 0.61). Among the engagement metrics, the largest effects were on overall feature utilization (SMD 0.33; 95% CI 0.06 to 0.59) and time on site (SMD 0.29; 95% CI 0.01 to 0.57). As no SMD >0.30 was observed for main effects on any outcome, results suggest that for some outcomes, the combined intervention was stronger than individual factors alone.

CONCLUSIONS

This factorial experiment demonstrates the effectiveness of text messaging as a strategy to increase engagement with an internet smoking cessation intervention, resulting in greater overall intervention dose and greater exposure to the core components of tobacco dependence treatment that can promote abstinence.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02585206; https://clinicaltrials.gov/ct2/show/NCT02585206.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2015-010687.

Birth Control Connect: A randomized trial of an online group to disseminate contraceptive information

OBJECTIVE

We sought to test whether participation in an online group including IUD users influenced IUD-related knowledge, attitudes, and behavior among IUD non-users, as a proof-of-concept evaluation of information dissemination for less commonly used or novel contraceptives.

STUDY DESIGN

We conducted a blinded, randomized controlled trial on the effect of online communication with IUD users within an online program called Birth Control Connect. Participants were women age 18-45 living in the United States who had never used an IUD. We invited participants randomized to the intervention to join two-week, nine-member discussion groups including four satisfied IUD users and five IUD non-users; we invited control participants to groups including nine IUD non-users. We performed chi-squared tests on IUD knowledge, information-seeking, informational support and use in immediate post-surveys, and t-tests comparing change in IUD attitudes and frequency of logins to discussion groups.

RESULTS

We invited 488 IUD non-users and enrolled them into 70 groups between October 2015 and April 2016. We found increased positive attitudes towards the IUD in the intervention arm (0.65-point increase between pre- and post-surveys, versus 0.05 mean change for control arm, p = 0.03 for hormonal IUD, with a trend in the same direction for the non-hormonal IUD). Informational support also increased, with 70.3% of intervention arm participants self-reporting that they gained a better idea of what the IUD would be like, compared to 51.3% in control arm (p < 0.01). Of intervention participants, 63.3% versus 51.3% of control participants reported gaining new information from their group (p = 0.03). There were no differences in correct responses to knowledge items or information-seeking between groups.

CONCLUSIONS

Online exposure to IUD users increased positive attitudes toward the IUD and informational support for decision-making about the IUD among non-users.

IMPLICATIONS STATEMENT

Online spaces provide a promising environment for the exchange of accurate, useful contraceptive information based on real user experiences. Interventions aiming to harness social communication through structured online conversations (e.g., on existing social media platforms) about user experiences with lesser-known contraceptive methods such as the IUD may be worthwhile.

Biological and Functional Changes in Healthy Adult Smokers Who Are Continuously Abstinent From Smoking for One Year: Protocol for a Prospective, Observational, Multicenter Cohort Study

Background

The harm of smoking results mainly from long-term exposure to harmful and potentially harmful constituents (HPHCs) generated by tobacco combustion. Smoking cessation (SC) engenders favorable changes of clinical signs, pathomechanisms, and metabolic processes that together could reduce the harm of smoking-related diseases to a relative risk level approximating that of never-smokers over time. In most SC studies, the main focus is on the quitting rate of the SC program being tested. As there is limited information in the literature on short to multiple long-term functional or biological changes following SC, more data on short to mid-term favorable impacts of SC are needed.

Objective

The overall aim of the study was to assess the reversibility of the harm related to smoking over 1 year of continuous smoking abstinence (SA). This has been verified by assessing a set of biomarkers of exposure to HPHCs and a set of biomarkers of effect indicative of multiple pathophysiological pathways underlying the development of smoking-related diseases.

Methods

This multiregional (United States, Japan, and Europe), multicenter (42 sites) cohort study consisting of a 1-year SA period in an ambulatory setting was conducted from May 2015 to May 2017. A total of 1184 male and female adult healthy smokers, willing to quit smoking, were enrolled in the study. Nicotine replacement therapy (NRT) was provided for up to 3 months upon the subject’s request. SC counseling and behavioral support were continuously provided. Biomarkers of exposure to HPHCs and biomarkers of effect were assessed in urine and blood at baseline, Month 3, Month 6, and Month 12. Cardiovascular biomarkers of effect included parameters reflecting inflammation (white blood cell), lipid metabolism (high-density lipoprotein cholesterol), endothelial function (soluble intercellular adhesion molecule-1), platelet function (11-dehydrothromboxane B2), oxidative stress (8-epi-prostaglandin F2 alpha), and carbon monoxide exposure (carboxyhemoglobin). Respiratory biomarkers of effect included lung function parameters and cough symptoms. The biomarkers of effect to evaluate genotoxicity (total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol) and xenobiotic metabolism (cytochrome P450 2A6 activity) were also assessed. Continuous SA was verified at each visit following the actual quit date using self-reporting and chemical verification. Safety assessments included adverse events and serious adverse events, body weight, vital signs, spirometry, electrocardiogram, clinical chemistry, hematology and urine analysis safety panel, physical examination, and concomitant medications.

Results

In total, 1184 subjects (50.1% male) were enrolled; 30% of them quit smoking successfully for 1 year. Data analyses of the study results are ongoing and will be published after study completion.

Conclusions

This study provides insights into biological and functional changes and health effects, after continuous SA over 1 year. Study results will be instrumental in assessing novel alternative products to cigarettes considered for tobacco harm reduction strategies.

Trial Registration

ClinicalTrials.gov NCT02432729; http://clinicaltrials.gov/ct2/show/NCT02432729 (Archived by WebCite at http://www.webcitation.org/78QxovZrr)

International Registered Report Identifier (IRRID)

DERR1-10.2196/12138

Support person interventions to increase use of quitline services among racially diverse low-income smokers: A pilot study

INTRODUCTION

Social support from nonsmokers may have a role in prompting smokers to use evidence-based cessation treatment. Prior studies found that an intervention for nonsmoking support persons (SPs) was effective for promoting smokers' use of free, state quitline services. This pilot study adapted and assessed feasibility of this intervention for a racially diverse, low-income population.

METHODS

Single group, non-randomized design enrolling SP-smoker dyads with low income status enrolled in one of three study "waves" of 10 pairs each. Participants were recruited using flyers and in-person outreach methods. The SP intervention included a 1-session coaching call and written materials; study waves 2 and 3 also included text messaging and a monetary incentive for smokers who used quitline services. Using content analysis, the intervention was iteratively adapted based on SP feedback. Baseline measures assessed socio-demographics, dyad and tobacco use characteristics. Follow-up assessments were conducted among SPs at 1-month follow-up and among smokers at 3-months follow-up. Feasibility indicators were recruitment, retention, and SP intervention acceptability and adherence. Secondary outcomes were smokers' use of any quitline service verified by quitline staff and 7-day, point prevalence, biochemically verified smoking abstinence at 3 months.

RESULTS

Recruitment of 30 dyads was feasible; in-person recruitment methods were the most successful. SPs who completed follow-up assessments found the intervention acceptable, suggesting only minor content modifications, and they perceived the quitline information as novel. But the study had some feasibility challenges (e.g., SP coaching call completion: 60% and SP study retention: 53%). At 3 months, 2 smokers (7%) had used any quitline service and 13% were biochemically confirmed smoking abstinent.

CONCLUSIONS

This pilot study demonstrated feasibility of recruiting SP-smoker dyads from diverse, low-income communities. While the intervention was well received, its delivery was not feasible in this population. Results suggest that further consumer adaptation of the intervention is needed among both SPs and smokers.

"Like you are fooling yourself": how the "Stoptober" temporary abstinence campaign supports Dutch smokers attempting to quit

Background

The Stoptober temporary abstinence campaign challenges smokers to engage in a collective quit attempt for 28 days. The campaign is based on social contagion theory, SMART (i.e., Specific, Measurable, Attainable, Realistic and Time-sensitive) goal setting and PRIME (i.e., Plans, Responses, Impulses, Motives and Evaluations) theory. Although Stoptober was found to yield impressive 28-day quit rates, relapse rates remained substantial. Therefore, we examined how Stoptober supported smokers in their attempt to quit and how the campaign’s effectiveness could be strengthened.

Methods

In 2016, we conducted semi-structured interviews with 23 Stoptober participants in the Netherlands. Data were analyzed thematically.

Results

Respondents explained how social contagion-based components had familiarized them with Stoptober, motivated them to participate, and created a pro-smoking cessation social norm. Setting SMART goals was reported as “fooling yourself”, since it distracted respondents from their goal of quitting for good and helped them perceive that temporary abstinence was achievable. Respondents also illustrated the usefulness of PRIME theory. They typically used an individual selection of available supports that varied over time. To achieve long-term abstinence, respondents expressed the need for additional social network support and interactive, personalized and professional support during and after the campaign.

Conclusions

Stoptober supports smokers in their attempts to quit and generally according to the campaign’s theoretical principles. Added to available evidence, this finding supports the continuation and wider implementation of Stoptober, while connecting the campaign to social networks and regular smoking-cessation services to help improve long-term abstinence rates.

Electronic supplementary material

The online version of this article (10.1186/s12889-019-6833-y) contains supplementary material, which is available to authorized users.

Discussions of Alcohol Use in an Online Social Network for Smoking Cessation: Analysis of Topics, Sentiment, and Social Network Centrality

BACKGROUND

Few Internet smoking cessation programs specifically address the impact of alcohol use during a quit attempt, despite its common role in relapse. This study used topic modeling to describe the most prevalent topics about alcohol in an online smoking cessation community, the prevalence of negative sentiment expressed about alcohol use in the context of a quit attempt (i.e., alcohol should be limited or avoided during a quit attempt) within topics, and the degree to which topics differed by user social connectivity within the network.

METHODS

Data were analyzed from posts from the online community of a larger Internet cessation program, spanning January 1, 2012 to May 31, 2015 and included records of 814,258 online posts. Posts containing alcohol-related content (n = 7,199) were coded via supervised machine learning text classification to determine whether the post expressed negative sentiment about drinking in the context of a quit attempt. Correlated topic modeling (CTM) was used to identify a set of 10 topics of at least 1% prevalence based on the frequency of word occurrences among alcohol-related posts; the distribution of negative sentiment and user social network connectivity was examined across the most salient topics.

RESULTS

Three salient topics (with prevalence ≥10%) emerged from the CTM, with distinct themes of (i) cravings and temptations; (ii) parallel between nicotine addiction and alcoholism; and (iii) celebratory discussions of quit milestones including "virtual" alcohol use and toasts. Most topics skewed toward nonnegative sentiment about alcohol. The prevalence of each topic differed by users' social connectivity in the network.

CONCLUSIONS

Future work should examine whether outcomes in Internet interventions are improved by tailoring social network content to match user characteristics, topics, and network behavior.