INTRODUCTION:E-cigarettes are the most frequently used tobacco product among adolescents and young adults. Over 40% of adolescents who used E-cigarettes tried quitting in 2023, but few programs support them, particularly on social media. The aim of this study was to test the efficacy of E-cigarette cessation support groups on Instagram in an RCT. STUDY DESIGN:A total of 500 participants were randomized to intervention or active control with baseline, 5-week (end of program), and 3- and 6-month follow-up surveys in 2022-2024. SETTING:Healthy volunteers in California were recruited through social media advertisements. PARTICIPANTS:Participants reported the age of 13-21 years, English literacy, using social media at least 4 days per week, using E-cigarettes at least weekly, access to device with photo capability, and considering quitting within 6 months. INTERVENTIONS:Instagram direct message support groups for 5 weeks provided motivational interviewing, social support, skill building, and group quit attempts. Controls were referred to state quitline resources, including telephone, online, texting, or mobile app. MAIN OUTCOME:A 7-day point prevalence abstinence from E-cigarette use. RESULTS:Data were analyzed in 2024-2025. Mean age was 18.9 years, 39.8% were female, and 51.2% were male; 41.1% were White, 17.2% were Hispanic, and 27.4% were multiracial; 35.1% were sexual minority. A total of 70.4% used E-cigarettes daily, and 78.2% used within 30 minutes of waking. Retention rates were 43.6% at 5 weeks, 23.0% at 3 months, and 28.0% at 6 months. Generalized linear mixed models in a time-averaged difference approach examined 7-day point prevalence abstinence accounting for repeated measures and clustering effects. Intention-to-treat (ITT) analysis counting missing as vaping found greater abstinence in the intervention group (18.2% vs 11.8%) (OR=2.15, 95% CI=1.1, 4.2, p=0.025). Complete case analysis also found greater abstinence over 6 months for intervention (53.9%) than for control (40.4%) (OR=2.07, 95% CI=1.21, 3.52, p=0.008). There were no differences in vaping reduction, attitudes, or use of evidence-based methods. Intervention participants reported higher social support with no difference in overall program evaluation. CONCLUSIONS:Social media support groups were acceptable to diverse young people and improved abstinence rates on average over 6 months compared with quitline referral. TRIAL REGISTRATION:This study is registered at Clinicaltrials.gov (Protocol Number NCT04707911).

Nicotine vaping among adolescents, a major public health concern, may be exacerbated by exposure to pro-vaping social media content. This study interviewed adolescents about their perceptions of nicotine vaping-related social media content and its effects. Adolescents (analytic sample N = 30, age 13-18, in California, 73.3% never-vapers) participated in online semi-structured interviews. Initial codes were derived from the interview questions. Two authors discussed emerging themes in the transcripts and revised the coding guide in an iterative process until saturation was reached. Exposure to pro-vaping content was common (27/30), especially transient content (e.g., "stories"; 12/30). Participants identified three main purposes of social media vaping posts: selling products (6/30), showing off (20/30), and documenting daily activity (8/30). Perceived effects of vaping-related content on social media included increased access to vaping products (3/30) and normalization of vaping (24/30). Most (20/30) spoke of content affecting others, not themselves. Reactions to vaping-related posts were multiple and included indifference (22/30), disapproval (21/30), and curiosity (8/30). Exposure to vaping-related social media content was common and included peer-to-peer sales of vaping products. Adolescents may become curious about vaping after frequent exposure to social media content and could purchase products through social media. Pro-vaping content should be restricted on social media platforms to protect adolescents.

Objective Social media platforms are promising to provide smoking cessation support. This study aimed to identify baseline factors associated with cigarette smoking abstinence among young adult smokers enrolled in a real-world social media-based smoking cessation program.Aims and Methods We analyzed data from young adult smokers (aged 18-30 years) participating in a publicly available Facebook-based smoking cessation program serving the San Francisco Bay Area. The analytic sample consisted of 248 participants who completed both the baseline and follow-up surveys at 3 months. Multivariable logistic regression analysis determined baseline factors significantly associated with self-reported 7-day cigarette smoking abstinence at 3 months.Results Participants were race/ethnically diverse, well-educated, and 47.6% reported LGB + sexual identity. Those who reported dual use of cigarettes and e-cigarettes in the past 30 days (vs. cigarette use only), current alcohol users (vs. non-users), and those aged 25-30 years (vs. 18-24 years) were significantly less likely to report 7-day abstinence at 3 months. Non-daily smokers (vs. daily smokers) and those with high desire to quit smoking (vs. low to moderate desire) were more likely to report abstinence. Results also showed reduction in the percentage of e-cigarette and other tobacco product use among participants.Conclusions Social media interventions may be more effective for young adult non-daily smokers and those with high desire to quit smoking. Smoking cessation programs may help reduce use of other tobacco products among treatment-seeking smokers. Smoking cessation interventions for young adults need to explicitly address dual use of cigarettes and e-cigarettes and use of alcohol.Implications Findings of this study highlight the need for future interventions to address dual use of cigarettes and e-cigarettes and use of alcohol to improve cigarette smoking abstinence outcomes. The reduction in the use of other tobacco products among program participants indicates that social media smoking cessation programs may exert a broader positive influence on overall tobacco consumption. The large number of LGB+ smokers participating in the program suggests social media is a promising cessation channel for this hard-to-reach group, warranting further study.

Purpose: Sexual and gender minority (SGM) individuals may receive social support through active use of social media (i.e., posting and interacting). This study examined associations between active social media use, social support, and health indicators in a large sample of SGM adults in the United States. Methods: Data were derived from the 2017 wave of The PRIDE Study, a national cohort study of SGM health. SGM-identified adults reporting social media use (N = 5995) completed measures of active social media use, social support, depressive symptoms, cigarette smoking, hazardous drinking, sleep, and physical activity. Regression models examined main and interactive effects of active social media use and social support on health indicators. Results: The sample reported a moderate level of active social media use (mean [M] = 3.2 [1.0], scale = 1-5) and relatively high social support (M = 16.7 [3.3], scale = 4-20); 31.8% reported moderate-to-severe depressive symptoms. Participants with greater active social media use were more likely to experience depressive symptoms (adjusted odds ratio [AOR] = 1.18, 95% confidence interval [CI] = 1.10-1.26), cigarette smoking (AOR = 1.11, 95% CI = 1.01-1.22), insufficient sleep (AOR = 1.13, 95% CI = 1.06-1.21), and physical inactivity (AOR = 1.09, 95% CI = 1.02-1.15) than those with less active social media use. Active social media use did not significantly interact with social support to predict any health indicators (p values >0.159). Conclusions: Among SGM adults, active social media use was associated with several negative health indicators. Active social media use may increase health risks, or SGM adults with poor health may actively use social media to maintain social connections. Moderate active social media use may be compatible with health.

Background Adolescents face unprecedented mental health challenges, and technology has the opportunity to facilitate access and support digitally connected generations. The combination of digital tools and live human connection may hold particular promise for resonating with and flexibly supporting young people’s mental health. Objective This study aimed to describe the BeMe app-based platform to support adolescents’ mental health and well-being and to examine app engagement, usability, and satisfaction. Methods Adolescents in the United States, aged 13 to 20 years, were recruited via the web and enrolled between September 1 and October 31, 2022. App engagement, feature use, clinical functioning, and satisfaction with BeMe were examined for 30 days. BeMe provides content based on cognitive behavioral therapy, dialectical behavior therapy, motivational interviewing, and positive psychology; interactive activities; live text-based coaching; links to clinical services; and crisis support tools (digital and live). Results The average age of the sample (N=13,421) was 15.04 (SD 1.7) years, and 56.72% (7612/13,421) identified with she/her pronouns. For the subsample that completed the in-app assessments, the mean scores indicated concern for depression (8-item Patient Health Questionnaire mean 15.68/20, SD 5.9; n=239), anxiety (7-item Generalized Anxiety Disorder Questionnaire mean 13.37/17, SD 5.0; n=791), and poor well-being (World Health Organization–Five Well-being Index mean 30.15/100, SD 16.1; n=1923). Overall, the adolescents engaged with BeMe for an average of 2.38 (SD 2.7) days in 7.94 (SD 24.1) sessions and completed 11.26 (SD 19.8) activities. Most adolescents engaged with BeMe’s content (12,270/13,421, 91.42%), mood ratings (13,094/13,421, 97.56%), and interactive skills (10,098/13,421, 75.24%), and almost one-fifth of the adolescents engaged with coaching (2539/13,421, 18.92%), clinical resources (2411/13,421, 17.96%), and crisis support resources (2499/13,421, 18.62%). Overall app engagement (total activities) was highest among female and gender-neutral adolescents compared with male adolescents (all P<.001) and was highest among younger adolescents (aged 13-14 years) compared with all other ages (all P<.001). Satisfaction ratings were generally high for content (eg, 158/176, 89.8% rated as helpful and 1044/1139, 91.66% improved coping self-efficacy), activities (5362/8468, 63.32% helpful and 4408/6072, 72.6% useful in coping with big feelings), and coaching (747/894, 83.6% helpful and 747/894, 83.6% improved coping self-efficacy). Engagement (total activities completed) predicted the likelihood of app satisfaction (P<.001). Conclusions Many adolescents downloaded the BeMe app and completed multiple sessions and activities. Engagement with BeMe was higher among female and younger adolescents. Ratings of BeMe’s content, activities, and coaching were very positive for cognitive precursors aimed at reducing depression and anxiety and improving well-being. The findings will inform future app development to promote more sustained engagement, and future evaluations will assess the effects of BeMe on changes in mental health outcomes.

Abstract Background Adolescent and young adult use of electronic nicotine delivery systems (“vaping”) has increased rapidly since 2018. There is a dearth of evidence-based vaping cessation interventions for this vulnerable population. Social media use is common among young people, and smoking cessation groups on social media have shown efficacy in the past. The objective of this study is to describe the protocol for a randomized controlled trial (RCT) testing the efficacy of an Instagram-based vaping cessation intervention for adolescents and young adults. Methods Adolescents and young adults aged 13–21 residing in California who have vaped at least once per week in the past 30 days will be recruited through social media ads, community partners, and youth serving organizations. Participants will be randomly assigned to intervention or control conditions: the intervention group takes place on Instagram, where participants receive up to 3 posts per weekday for 25 days over 5 weeks; the control group will be directed to kickitca.org, a website offering links to chatline and texting cessation services operated by the California Smokers' Helpline. The primary outcome is biochemically verified 7-day point prevalence abstinence for nicotine vaping; secondary outcomes are vaping reduction by 50% or more, vaping quit attempts, readiness to quit vaping, confidence in ability to quit, desire to quit, commitment to abstinence, and use of evidence-based cessation strategies. Both the primary outcome and secondary outcomes will be assessed immediately, 3 months, and 6 months after the treatment. Discussion This is the first RCT to test a vaping cessation intervention delivered through Instagram. If effective, it will be one of the first evidence-based interventions to address vaping among adolescents and young adults and add to the evidence base for social media interventions for this population. Trial registration ClinicalTrials.gov: NCT04707911, registered on January 13, 2021.

OBJECTIVES:E-cigarette use is increasing among young adults in the U.S. However, longitudinal research studies examining associations between e-cigarette use and combustible cigarette use among young adults are limited. This study assessed the relationship of e-cigarette use to smoking reduction and cessation among young adults. METHODS:This is a secondary analysis of a randomized controlled social media-based smoking cessation trial comprising adults ages 18 to 25 who smoked cigarettes and engaged in heavy episodic drinking (N = 179). Over 12 months, participants reported past month e-cigarette use with nicotine or tetrahydrocannabinol, cigarette quantity in the past week, quit attempts, and cessation strategies including nicotine e-cigarettes. Longitudinal regression models estimated associations between e-cigarette use, smoking reduction, and 7-day abstinence. RESULTS:Past-month nicotine e-cigarette use prevalence ranged from 53.1% at baseline to 50.3% at 12 months. Over 70% of participants who reported past month nicotine e-cigarette use also smoked cigarettes (ie, dual use). Neither past month nicotine nor tetrahydrocannabinol e-cigarette use was associated with smoking reduction or cessation. However, use of nicotine e-cigarettes as a cessation strategy among participants attempting to quit (N = 137) was positively associated with abstinence (adjusted odds ratio = 2.47, 95% CI = 1.20-5.09) and ≥50% reduction in cigarettes per week from baseline (aOR = 2.36,95% CI = 1.08-5.18), relative to other strategies. CONCLUSIONS:Nicotine e-cigarettes were significantly associated with improved tobacco use outcomes when used as a cessation strategy, but not when used apart from trying to quit smoking. Dual use may not be an effective path to achieve smoking cessation.

Background Sexual and gender minority (SGM) individuals experience minority stress, especially when they lack social support. SGM young adults may turn to social media in search of a supportive community; however, social media use can become problematic when it interferes with functioning. Problematic social media use may be associated with experiences of minority stress among SGM young adults. Objective The objective of this study is to examine the associations among social media use, SGM-related internalized stigma, emotional social support, and depressive symptoms in SGM young adults. Methods Participants were SGM young adults who were regular (≥4 days per week) social media users (N=302) and had enrolled in Facebook smoking cessation interventions. As part of a baseline assessment, participants self-reported problematic social media use (characterized by salience, tolerance, and withdrawal-like experiences; adapted from the Facebook Addiction Scale), hours of social media use per week, internalized SGM stigma, perceived emotional social support, and depressive symptoms. Pearson correlations tested bivariate associations among problematic social media use, hours of social media use, internalized SGM stigma, perceived emotional social support, and depressive symptoms. Multiple linear regression examined the associations between the aforementioned variables and problematic social media use and was adjusted for gender identity. Results A total of 302 SGM young adults were included in the analyses (assigned female at birth: 218/302, 72.2%; non-Hispanic White: 188/302, 62.3%; age: mean 21.9 years, SD 2.2 years). The sexual identity composition of the sample was 59.3% (179/302) bisexual and/or pansexual, 17.2% (52/302) gay, 16.9% (51/302) lesbian, and 6.6% (20/302) other. The gender identity composition of the sample was 61.3% (185/302) cisgender; 24.2% (73/302) genderqueer, fluid, nonbinary, or other; and 14.6% (44/302) transgender. Problematic social media use averaged 2.53 (SD 0.94) on a 5-point scale, with a median of 17 hours of social media use per week (approximately 2.5 h per day). Participants with greater problematic social media use had greater internalized SGM stigma (r=0.22; P<.001) and depressive symptoms (r=0.22; P<.001) and lower perceived emotional social support (r=−0.15; P=.007). Greater internalized SGM stigma remained was significantly associated with greater problematic social media use after accounting for the time spent on social media and other correlates (P<.001). In addition, participants with greater depressive symptoms had marginally greater problematic social media use (P=.05). In sum, signs of problematic social media use were more likely to occur among SGM young adults who had internalized SGM stigma and depressive symptoms. Conclusions Taken together, problematic social media use among SGM young adults was associated with negative psychological experiences, including internalized stigma, low social support, and depressive symptoms. SGM young adults experiencing minority stress may be at risk for problematic social media use.

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.

This commentary reviews barriers to smoking cessation during the COVID-19 pandemic and the potential of social media-based smoking cessation programs. Several published randomized controlled trials are summarized and future directions for designing and evaluating social media-based smoking cessation programs are described.

With COVID-19, loneliness has been catapulted into a phenomenon of international stature (Smith & Lim, 2020). Young people are disproportionately affected; loneliness has increased among younger adults, and worldwide, young people are more lonely than all other age groups through the lockdowns (Groarke et al., 2020). The science of having meaningful social connection tells us that loneliness in young people can be addressed both by targeting environmental factors, such as the opportunity to connect socially (e.g., participating in shared interest groups), and addressing the cognitions associated with social connections (Eccles & Qualter, 2020). For digital native youth and young adults, smartphone applications (apps) provide a unique opportunity to deliver skills that can buffer against both environmental and cognitive risk factors. Using apps to address loneliness presents a dilemma because it relies on the use of technology which many people blame for causing the problem it is aiming to address. The effectiveness of apps to reduce loneliness ultimately relies upon the user putting down the app to connect with others in a different way. It requires app developers to make technology that is engaging enough to interest those who may be most vulnerable to loneliness, on a potentially addictive medium already embedded in their lives, while simultaneously nudging them out into the real world. This is no small feat. A number of promising international efforts have used apps to combat loneliness among young people, and their unique features try to address the challenges above.

Introduction: This study examined the effects of experimentally manipulated social media exposure on adolescents' willingness and intention to use e-cigarettes. Aims and Methods: Participants were 135 adolescents of age 13-18 (52.6% female, mean age=15.3) in California. Participants viewed six social media posts online in a 2 (post source: peer or advertisement) x 2 (e-cigarette content exposure: heavy or light) between-subjects design. Analyses were weighted to population benchmarks. We examined adolescents' beliefs, willingness, and intention to use e-cigarettes in association with social media use intensity in daily life and with experimentally manipulated exposure to social media posts that varied by source (peer or advertisement) and content (e-cigarette heavy or light). Results: Greater social media use in daily life was associated with greater willingness and intention to use e-cigarettes and more positive attitudes, greater perceived norms, and lower perceived danger of e-cigarette use (all p-values <.01). In tests of the experimental exposures, heavy (vs. light) e-cigarette content resulted in greater intention (p=.049) to use e-cigarettes and more positive attitudes (p=.019). Viewing advertisements (vs. peer-generated posts) resulted in greater willingness and intention (p-values <.01) to use e-cigarettes, more positive attitudes (p=.003), and greater norm perceptions (p=.009). The interaction effect of post source by post content was not significant for any of the outcomes (all p-values >.529). Conclusions: Greater social media use and heavier exposure to advertisements and e-cigarette content in social media posts are associated with a greater risk for e-cigarette use among adolescents. Regulatory action is needed to prohibit sponsored e-cigarette content on social media platforms used by youth.

The present study explores barriers and facilitators experienced by public health nurses introducing a mobile health technology platform (Goal Mama) to the Nurse-Family Partnership home-visiting program. Goal Mama is a HIPAA-compliant goal-coaching and visit preparation platform that clients and nurses use together to set and track goals. Forty-two nurses across five sites, including urban, suburban, and rural communities, piloted the platform with clients for 6 months. The mixed method, QUAL+quan pilot evaluation focused on deeply understanding the implementation process. Data were analyzed via iterative content analysis and multivariate regression analysis, and triangulated to identify salient findings. Over 6 months of use participants identified critical areas for product and implementation improvement, but still viewed the platform favorably. Key opportunities for improving sustained use revolved around supporting the technological and programmatic integration needed to lower key barriers and further facilitate implementation.

Abstract Background Co-occurrence of tobacco use and heavy episodic drinking (HED; 5+ drinks for men and 4+ drinks for women per occasion) is common among young adults; both warrant attention and intervention. In a two-group randomized pilot trial, we investigated whether a Facebook-based smoking cessation intervention addressing both alcohol and tobacco use would increase smoking abstinence and reduce HED compared to a similar intervention addressing only tobacco. Methods Participants were 179 young adults (age 18–25; 49.7% male; 80.4% non-Hispanic white) who we recruited from Facebook and Instagram who reported smoking 4+ days/week and past-month HED. The Smoking Tobacco and Drinking (STAND) intervention (N=84) and the Tobacco Status Project (TSP), a tobacco-only intervention (N=95), both included daily Facebook posts for 90 days and weekly live counseling sessions in private “secret” groups. We verified self-reported 7-day smoking abstinence via remote salivary cotinine tests at 3, 6, and 12 months (with retention at 83%, 66%, and 84%, respectively). Participants self- reported alcohol use. Results At baseline, the participants averaged 10.4 cigarettes per day (SD=6.9) and 8.9 HED occasions in the past month (SD=8.1), with 27.4% in a preparation stage of change for quitting smoking cigarettes. Participants reported significant improvements in cigarette smoking and alcohol use outcomes over time, with no significant differences by condition. At 12 months, intent-to-treat smoking abstinence rates were 3.5% in STAND vs. 0% in TSP (biochemically verified) and 29.4% in STAND vs. 25.5% in TSP (self-reported). Compared to TSP, participants rated the STAND intervention more favorably for supporting health and providing useful information. Conclusions Adding an alcohol treatment component to a tobacco cessation social media intervention was acceptable and engaging but did not result in significant differences by treatment condition in smoking or alcohol use outcomes. Participants in both conditions reported smoking and drinking less over time, suggesting covariation in behavioral changes.

We describe a randomized trial testing the efficacy of Nod, a mobile app addressing loneliness among college students.

Introduction: Young adults who smoke cigarettes often report heavy episodic drinking (HED) and co-use of other psychoactive substances which may complicate efforts to quit cigarette smoking. The current study examined factors associated with readiness to quit cigarette smoking among young adults who smoke and engage in HED. Methods: One hundred seventy-nine young adults aged 18 to 25 who reported regular cigarette smoking and past month HED enrolled in the 90-day Facebook-based Smoking Tobacco and Drinking (STAND) intervention study. Analyses compared baseline differences in patterns of cigarette smoking and alcohol and cannabis use, thoughts about abstinence, use of nicotine replacement therapy (NRT), sociodemographic characteristics, and other health behaviors between participants who were ready to quit cigarette smoking in the next 30 days and those who were not. Results: Participants were 40.2% female, 49.7% male, 10.1% non-binary, and 80.4% Non-Hispanic White. They reported on average moderate nicotine dependence (FTCD), moderate risk for alcohol use disorder (AUDIT), and occasional or regular cannabis use. Readiness to quit cigarette smoking in the next 30 days (33.5%) was positively associated with age (p = .021), NRT use in the past 30 days (p = .037) and perceived importance to also reduce alcohol use (p = .033). Conclusions: Findings indicate that readiness to quit cigarette smoking among young adults who drink is positively associated with importance to reduce alcohol use, but not with use patterns or levels of dependence. Interventions addressing polysubstance use may be better suited to help young adults reduce or quit cigarette smoking once they signal readiness for behavior change.