Delivering vaping cessation interventions to adolescents and young adults on Instagram: protocol for a randomized controlled trial.

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.

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.

Effects of Social Media on Adolescents' Willingness and Intention to Use E-Cigarettes: An Experimental Investigation.

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) × 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. IMPLICATIONS: Adolescents who use social media intensely may be at higher risk for e-cigarette use. Even brief exposure to e-cigarette content on social media was associated with greater intention to use and more positive attitudes toward e-cigarettes. Regulatory action should be taken to prohibit sponsored e-cigarette content on social media used by young people, including posts by influencers who appeal to young people.

Multiple Health Risk Behaviors in Young Adult Smokers: Stages of Change and Stability over Time.

BACKGROUND: Health risk behaviors (HRBs) are common, yet not well understood in young adult smokers. PURPOSE: We examined HRB profiles over 12 months in young adult smokers participating in a Facebook smoking cessation intervention clinical trial. METHODS: Participants (N = 500; age M = 20.9 years; 54.6% women) were recruited online and randomized to receive either a 3-month Facebook smoking cessation intervention or referral to Smokefree.gov (control). A Health Risk Assessment determined risk for 10 behaviors at baseline and 3, 6, and 12 months. Latent class analysis (LCA) and latent transition analysis (LTA) were used to identify patterns of HRBs and changes over time. RESULTS: At baseline, participants reported an average of 5.4 (standard deviation [SD] = 1.7) risk behaviors, including smoking (100%), high-fat diet (84.8%), poor sleep hygiene (71.6%), and low fruit and vegetable intake (69.4%). A 3-class model fit the data best at baseline and all follow-up time points: low risk (28.8% at baseline) with low likelihood of risk on all behaviors except smoking, substance use risk (14.0% at baseline) characterized by heavy episodic drinking, cannabis use, and other illicit drug use, and metabolic risk (57.2% at baseline), with a high percentage of members at risk for a low fruit and vegetable intake, high-fat diet, inactivity, stress, and poor sleep hygiene. Classes were very stable at 3, 6, and 12 months, with few participants transitioning between classes. CONCLUSIONS: Most young adult smokers engaged in multiple risk behaviors, with meaningful clustering of behaviors, and demonstrated stability over a year's time. In addition to smoking, targets for intervention are co-occurring substance use and metabolic risk behaviors. CLINICAL TRIALS REGISTRATION: NCT02207036.

The Put It Out Project (POP) Facebook Intervention for Young Sexual and Gender Minority Smokers: Outcomes of a Pilot, Randomized, Controlled Trial.

INTRODUCTION: This trial investigated whether a Facebook smoking cessation intervention culturally tailored to young sexual and gender minority (SGM) smokers (versus non-tailored) would increase smoking abstinence. METHODS: Participants were 165 SGM young adult US smokers (age 18-25) recruited from Facebook in April 2018 and randomized to an SGM-tailored (POP; N = 84) or non-tailored (TSP-SGM; N = 81) intervention. Interventions delivered weekly live counseling sessions and 90 daily Facebook posts to participants in Facebook groups. Primary analyses compared POP and TSP-SGM on biochemically verified smoking abstinence (yes/no; primary outcome), self-reported 7-day point prevalence abstinence (yes/no), reduction in cigarettes per week by 50+% from baseline (yes/no), making a quit attempt during treatment (yes/no), and stage of change (precontemplation/contemplation vs. preparation/action). Supplemental analyses compared POP to two historical control groups. RESULTS: POP participants were more likely than TSP-SGM participants to report smoking abstinence at 3 (23.8% vs. 12.3%; OR = 2.50; p = .03) and 6 months (34.5% vs. 12.3%; OR = 4.06; p < .001) and reduction in smoking at 3 months (52.4% vs. 39.5%; OR = 2.11; p = .03). Biochemically verified smoking abstinence did not significantly differ between POP and TSP-SGM at 3 (OR = 2.00; p = .33) or 6 months (OR = 3.12; p = .08), potentially due to challenges with remote biochemical verification. In supplemental analyses, POP participants were more likely to report abstinence at 3 (OR = 6.82, p = .01) and 6 (OR = 2.75, p = .03) months and reduced smoking at 3 months (OR = 2.72, p = .01) than participants who received a referral to Smokefree.gov. CONCLUSIONS: This pilot study provides preliminary support for the effectiveness of a Facebook smoking cessation intervention tailored to SGM young adults. IMPLICATIONS: SGM individuals have disproportionately high smoking prevalence. It is unclear whether smoking cessation interventions culturally tailored to the SGM community are more effective than non-tailored interventions. This pilot trial found preliminary evidence that an SGM-tailored Facebook smoking cessation intervention increased reported abstinence from smoking, compared to a non-tailored intervention. TRIAL REGISTRATION: NCT03259360.

Meta-Analysis of the Association of Alcohol-Related Social Media Use with Alcohol Consumption and Alcohol-Related Problems in Adolescents and Young Adults.

Despite the pervasive use of social media by young adults, there is comparatively little known about whether, and how, engagement in social media influences this group's drinking patterns and risk of alcohol-related problems. We examined the relations between young adults' alcohol-related social media engagement (defined as the posting, liking, commenting, and viewing of alcohol-related social media content) and their drinking behavior and problems. We conducted a systematic review and meta-analysis of studies evaluating the association of alcohol consumption and alcohol-related problems with alcohol-related social media engagement. Summary baseline variables regarding the social media platform used (e.g., Facebook and Twitter), social media measures assessed (e.g., number of alcohol photographs posted), alcohol measures (e.g., Alcohol Use Disorders Identification Test and Timeline Follow back Interview), and the number of time points at which data were collected were extracted from each published study. We used the Q statistic to examine heterogeneity in the correlations between alcohol-related social media engagement and both drinking behavior and alcohol-related problems. Because there was significant heterogeneity, we used a random-effects model to evaluate the difference from zero of the weighted aggregate correlations. We used metaregression with study characteristics as moderators to test for moderators of the observed heterogeneity. Following screening, 19 articles met inclusion criteria for the meta-analysis. The primary findings indicated a statistically significant relationship and moderate effect sizes between alcohol-related social media engagement and both alcohol consumption (r = 0.36, 95% CI: 0.29 to 0.44, p < 0.001) and alcohol-related problems (r = 0.37, 95% CI: 0.21 to 0.51, p < 0.001). There was significant heterogeneity among studies. Two significant predictors of heterogeneity were (i) whether there was joint measurement of alcohol-related social media engagement and drinking behavior or these were measured on different occasions and (ii) whether measurements were taken by self-report or observation of social media engagement. We found moderate-sized effects across the 19 studies: Greater alcohol-related social media engagement was correlated with both greater self-reported drinking and alcohol-related problems. Further research to determine the causal direction of these associations could provide opportunities for social media-based interventions with young drinkers aimed at reducing alcohol consumption and alcohol-related adverse consequences.

Young adults report increased pleasure from smoking cigarettes when drinking alcohol but not when using marijuana.

BACKGROUND: Among young adults, cigarette smoking is strongly associated with alcohol and marijuana use. The present study compared self-reported co-use of cigarettes and alcohol versus cigarettes and marijuana among young adults using cross-sectional survey data. METHODS: Participants were young adult cigarette smokers (age 18 to 25) who also reported past month alcohol or marijuana use enrolled in a randomized trial testing a smoking cessation intervention on Facebook. Participants self-reported extent of cigarette smoking under the influence of alcohol or marijuana and differences in perceived pleasure from cigarette smoking when drinking alcohol compared to using marijuana. RESULTS: Among cigarette smokers who drank alcohol and used marijuana in the past month (n=200), a similar percentage of cigarettes were smoked under the influence of alcohol (42.4%±31.2%) and marijuana (43.1% ±30.0%). Among alcohol + marijuana users, perceived pleasure from smoking cigarettes was significantly greater when drinking alcohol versus when using marijuana (t(199)=7.05, p<0.001). There was, on average, an increase in perceived pleasure from smoking cigarettes when drinking alcohol, though perceived pleasure did not differ by binge drinking frequency. In contrast, there was on average no change in perceived pleasure from smoking cigarettes when using marijuana. Results from the cigarette smokers who used alcohol + marijuana were similar to cigarette smokers who only used alcohol (n=158) or only used marijuana (n=54). CONCLUSION: Findings highlight greater perceived reward from smoking cigarettes when drinking alcohol compared to when using marijuana, informing smoking cessation interventions that target users of multiple substances.

Cessation Strategies Young Adult Smokers Use After Participating in a Facebook Intervention.

BACKGROUND: Young adults underutilize current evidence-based smoking cessation strategies; yet social media are widely used and accepted among this population. A better understanding of whether and how young adults try to quit smoking in the context of a social media smoking cessation intervention could inform future intervention improvements. OBJECTIVES: We examined frequency, strategies used, and predictors of self-initiated 24-hour quit attempts among young adults participating in a Facebook intervention. METHODS: A total of 79 young adult smokers (mean age = 20.8; 20.3% female) were recruited on Facebook for a feasibility trial. Participants joined motivationally tailored private Facebook groups and received daily posts over 12 weeks. Assessments were completed at baseline, 3-, 6-, and 12-month follow-up. RESULTS: In 12 months, 52 participants (65.5%) completed 215 quit attempts (mean = 4.1; median = 4; range 1-14); 75.4% of attempts were undertaken with the Facebook intervention alone, 17.7% used an electronic cigarette (e-cigarette), 7.4% used nicotine replacement therapy (NRT), and 3.7% used additional professional advice. Non-daily smokers, those who smoked fewer cigarettes, and those in an advanced stage of change at baseline were more likely to make a quit attempt. E-cigarette use to aide a quit attempt during the study period was associated with reporting a past year quit attempt at baseline. No baseline characteristics predicted NRT use. CONCLUSIONS: After participating in a Facebook smoking cessation intervention, young adults predominantly tried to quit without additional assistance. E-cigarettes are used more frequently as cessation aid than NRT. The use of evidence-based smoking cessation strategies should be improved in this population.

Prevalence and Correlates of Social Smoking in Young Adults: Comparisons of Behavioral and Self-Identified Definitions.

INTRODUCTION: Social smoking is an increasingly common pattern among emerging adults. Although distinct patterns have emerged between social smokers and non-social smokers, there is discrepancy about how to define the construct, with inconsistencies between self-identified social smoking and behavioral social smoking. We report prevalence and correlates of young adult smokers who self-identify and behave as social smokers (SELF + BEH), self-identified non-behavioral social smokers (SELF-ONLY), and non-social smokers (NON-SOCIAL). METHODS: Young adults age 18-25 years who have smoked at least 1 cigarette in the past 30 days (N = 1,811) were recruited through Facebook for a national anonymous, online survey of tobacco and other substance use. Three social smoking items were used to categorize respondents into 1 of 3 smoking groups. Groups were examined for prevalence and differences on demographics, substance use, motivation to quit smoking and thoughts about tobacco abstinence. RESULTS: SELF-ONLY (46%) was the largest group, followed by SELF + BEH (27%) and NON-SOCIAL (27%). SELF + BEH smoke less frequently, smoke fewer cigarettes per day, are less addicted to cigarettes, have a higher desire to quit, and perceive a lower quitting difficulty compared with SELF-ONLY. SELF + BEH and SELF-ONLY were more likely to be male, be marijuana users, and be addicted to marijuana than NON-SOCIAL. SELF + BEH exhibited a lower frequency of smoking, less cigarettes per day, were less addicted, and had more days co-using alcohol and cigarettes than NON-SOCIAL. CONCLUSION: Identifying social smokers based on self-identification in addition to behavioral components appears to be important for designing smoking cessation interventions for emerging adults.

Gender differences in a randomized controlled trial treating tobacco use among adolescents and young adults with mental health concerns.

INTRODUCTION: Treatment of tobacco use in mental health settings is rare despite high rates of comorbidity. With a focus on early intervention, we evaluated a tobacco treatment intervention among adolescents and young adults recruited from outpatient, school-based, and residential mental health settings and tested for gender differences. METHODS: Intervention participants received computerized motivational feedback at baseline, 3 months, and 6 months and were offered 12 weeks of cessation counseling and nicotine patches. Usual care participants received a self-help guide and brief cessation advice. We examined 7-day point prevalence abstinence with biochemical confirmation at 3, 6, and 12 months; smoking reduction; and 24-hr quit attempts. RESULTS: At baseline, the sample (N = 60, 52% female, mean age = 19.5±2.9 years, 40% non-Hispanic Caucasian) averaged 7±6 cigarettes/day, 62% smoked daily, 38% smoked ≤ 30 min of waking, 12% intended to quit in the next month, 47% had a parent who smoked, and 3 of 5 of participants' closest friends smoked on average. During the 12-month study, 47% of the sample reduced their smoking, 80% quit for 24 hr, and 11%, 13%, and 17% confirmed 7-day point prevalence abstinence at 3-, 6-, and 12-month follow-up, respectively, with no differences by treatment condition (ps > .400). Over time, abstinence was greater among girls (adjusted odds ratio [AOR] = 8.9) than among boys, and abstinence was greater for lighter smokers than heavier smokers (AOR = 4.5) (p < .05). No mental health or other measured variables predicted abstinence. CONCLUSIONS: Adolescent and young adult smokers with mental health concerns are a challenging group to engage and to effectively treat for tobacco addiction, particularly heavier smokers and boys. Innovative approaches are needed.

The Tobacco Status Project (TSP): Study protocol for a randomized controlled trial of a Facebook smoking cessation intervention for young adults.

BACKGROUND: Tobacco use remains the leading cause of premature morbidity and mortality in the United States. Young adults are less successful at quitting, use cessation treatment less often than smokers of other ages, and can be a challenge to retain in treatment. Social media, integrated into the lives of many young adults, represents a promising strategy to deliver evidence-based smoking cessation treatment to a large, diverse audience. The goal of this trial is to test the efficacy of a stage-based smoking cessation intervention on Facebook for young adults age 18 to 25 on smoking abstinence, reduction in cigarettes smoked, and thoughts about smoking abstinence. METHODS/DESIGN: This is a randomized controlled trial. Young adult smokers throughout the United States are recruited online and randomized to either the 3 month Tobacco Status Project intervention on Facebook or a referral to a smoking cessation website. The intervention consists of assignment to a secret Facebook group tailored to readiness to quit smoking (precontemplation, contemplation, preparation), daily Facebook contacts tailored to readiness to quit smoking, weekly live counseling sessions, and for those in preparation, weekly Cognitive Behavioral Therapy counseling sessions on Facebook. Primary outcome measure is biochemically-verified 7-day point prevalence abstinence from smoking at posttreatment (3 months), 6, and 12 months. Secondary outcome measures are reduction of 50 % or more in cigarettes smoked, 24 h quit attempts, and commitment to abstinence at each time point. A secondary aim is to test, within the TSP condition, the effect of a monetary incentive at increasing engagement in the intervention. DISCUSSION: This randomized controlled trial is testing a novel Facebook intervention for treating young adults' tobacco use. If efficacious, the social media intervention could be disseminated widely and expanded to address additional health risks. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02207036 , May 13, 2014.

Smoking Cessation Intervention on Facebook: Which Content Generates the Best Engagement?

BACKGROUND: Social media offer a great opportunity to deliver smoking cessation treatment to young adults, but previous online and social media interventions targeting health behavior change have struggled with low participant engagement. We examined engagement generated by content based on the Transtheoretical Model of Behavior Change (TTM) in a motivationally tailored smoking cessation intervention on Facebook. OBJECTIVE: This study aimed to identify which intervention content based on the TTM (Decisional Balance and 10 processes of change) generated the highest engagement among participants in pre-action stages of change (Precontemplation, Contemplation, and Preparation). METHODS: Participants (N=79, 20% female, mean age 20.8) were assessed for readiness to quit smoking and assigned to one of 7 secret Facebook groups tailored to their stage of change. Daily postings to the groups based on TTM Decisional Balance and the 10 processes of change were made by research staff over 3 months. Engagement was operationalized as the number of participant comments to each post. TTM content-based predictors of number of comments were analyzed and stratified by baseline stage of change, using negative binomial regression analyses with and without zero inflation. RESULTS: A total of 512 TTM-based posts generated 630 individual comments. In Precontemplation and Contemplation groups, Decisional Balance posts generated above average engagement (P=.01 and P<.001). In Contemplation groups, posts based on the TTM processes Dramatic Relief and Self-Liberation resulted in below average engagement (P=.01 and P=.005). In Preparation groups, posts based on Consciousness Raising generated above average engagement (P=.009). Participant engagement decreased over time and differed between groups within Precontemplation and Contemplation stages, but was independent of day of the week and time of day the content was posted to the groups. No participant baseline characteristics significantly predicted engagement. CONCLUSIONS: Participants not ready to quit in the next 30 days (in Precontemplation or Contemplation) engaged most when prompted to think about the pros and cons of behavior change, while those in the Preparation stage engaged most when posts increased awareness about smoking and smoking cessation. Findings support tailoring intervention content to readiness to quit and suggest intervention components that may be most effective in generating high participant engagement on social media.

Feasibility and Quit Rates of the Tobacco Status Project: A Facebook Smoking Cessation Intervention for Young Adults.

BACKGROUND: Young adult smokers are a challenging group to engage in smoking cessation interventions. With wide reach and engagement among users, Facebook offers opportunity to engage young people in socially supportive communities for quitting smoking and sustaining abstinence. OBJECTIVE: We developed and tested initial efficacy, engagement, and acceptability of the Tobacco Status Project, a smoking cessation intervention for young adults delivered within Facebook. METHODS: The intervention was based on the US Public Health Service Clinical Practice Guidelines and the Transtheoretical Model and enrolled participants into study-run 3-month secret Facebook groups matched on readiness to quit smoking. Cigarette smokers (N=79) aged 18-25, who used Facebook on most days, were recruited via Facebook. All participants received the intervention and were randomized to one of three monetary incentive groups tied to engagement (commenting in groups). Assessments were completed at baseline, 3-, 6-, and 12-months follow-up. Analyses examined retention, smoking outcomes over 12 months (7-day point prevalence abstinence, ≥50% reduction in cigarettes smoked, quit attempts and strategies used, readiness to quit), engagement, and satisfaction with the intervention. RESULTS: Retention was 82% (65/79) at 6 months and 72% (57/79) at 12 months. From baseline to 12-months follow-up, there was a significant increase in the proportion prepared to quit (10/79, 13%; 36/79, 46%, P<.001). Over a third (28/79, 35%) reduced their cigarette consumption by 50% or greater, and 66% (52/79) made at least one 24-hour quit attempt during the study. In an intent-to-treat analysis, 13% (10/79) self-reported 7-day abstinence (6/79, 8% verified biochemically) at 12-months follow-up. In their quit attempts, 11% (9/79) used a nicotine replacement therapy approved by the Food and Drug Administration, while 18% (14/79) used an electronic nicotine delivery system to quit (eg, electronic cigarette). A majority (48/79, 61%) commented on at least one Facebook post, with more commenting among those with biochemically verified abstinence at 3 months (P=.036) and those randomized to receive a personal monetary incentive (P=.015). Over a third of participants (28/79, 35%) reported reading most or all of the Facebook posts. Highest acceptability ratings of the intervention were for post ease (57/79, 72%) and thinking about what they read (52/79, 66%); 71% (56/79) recommended the program to others. Only 5 participants attended the optional cognitive-behavioral counseling sessions, though their attendance was high (6/7 sessions overall) and the sessions were rated as easy to understand, useful, and helpful (all 90-100% agreed). CONCLUSIONS: A Facebook quit smoking intervention is attractive and feasible to deliver, and early efficacy data are encouraging. However, the 1.5-fold greater use of electronic cigarettes over nicotine replacement products for quitting is concerning.

Active Social Media Use and Health Indicators Among Sexual and Gender Minority Adults.

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.

Tobacco use and its treatment among young people in mental health settings: a qualitative analysis.

BACKGROUND: Youth with psychiatric disorders are at increased risk of tobacco use. Outpatient mental health settings have received little investigation for delivering tobacco treatment. This study obtained formative data to guide development of a tobacco cessation program for transitional age youth with co-occurring psychiatric disorders with a focus on outpatient mental health settings. METHODS: Applying qualitative methods, we analyzed transcripts from interviews with 14 mental health clients (aged 16-23) and 8 mental health providers. RESULTS: The youth identified internal (nicotine addiction and mood), social, parental, and media influences to their use of tobacco. Providers' viewed youth tobacco use as a normative developmental process, closely tied to management of psychiatric symptoms, supported by parents, and of lower priority relative to youth alcohol and illicit drug use. Youth and providers believed that clinicians can do more to address tobacco use in practice and emphasized nonjudgmental support and nondirective approaches. Top recommended quitting strategies, however, differed notably for the youth (cold turkey, support from friends, physical activity, hobbies) and providers (cessation pharmacotherapy, cessation groups, treatment referrals). CONCLUSIONS: Mental health providers' greater prioritization of other substances and view of youth smoking as developmentally normative and a coping strategy for psychopathology are likely contributing to the general lack of attention to tobacco use currently. Integrating care within mental health settings would serve to reach youth in an arena where clinical rapport is already established, and study findings suggest receptivity for system improvements. Of consideration, however, is the apparent disconnect between provider and youth recommended strategies for supporting cessation.

Acceptability and Utility of a Smartphone App to Support Adolescent Mental Health (BeMe): Program Evaluation Study.

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.

Broad reach and targeted recruitment using Facebook for an online survey of young adult substance use.

BACKGROUND: Studies of tobacco use and other health behaviors have reported great challenges in recruiting young adults. Social media is widely used by young adults in the United States and represents a potentially fast, affordable method of recruiting study participants for survey research. OBJECTIVE: The present study examined Facebook as a mechanism to reach and survey young adults about tobacco and other substance use. METHODS: Participants were cigarette users, age 18-25 years old, living throughout the United States and recruited through Facebook to complete a survey about tobacco and other substance use. Paid advertising using Facebook's Ad program over 13 months from 2010 Feb 28 to 2011 Apr 4 targeted by age (18-25), location (United States or California), language (English), and tobacco- and/or marijuana-related keywords. Facebook approved all ads. RESULTS: The campaign used 20 ads, which generated 28,683,151 impressions, yielding 14,808 clicks (0.7% of targeted Facebook members), at an overall cost of $6,628.24. The average cost per click on an ad was $0.45. The success of individual ads varied widely. There was a rise in both clicks and impressions as the campaign grew. However, the peak for clicks was 3 months before the peak for ad impressions. Of the 69,937,080 accounts for those age 18-25 in the United States, Facebook estimated that 2.8% (n = 1,980,240) were reached through tobacco and marijuana keywords. Our campaign yielded 5237 signed consents (35.4% of clicks), of which 3093 (59%) met criteria, and 1548 (50% of those who met criteria) completed the survey. The final cost per valid completed survey was $4.28. The majority of completed surveys came from whites (69%) and males (72%). The sample averaged 8.9 cigarettes per day (SD 7.5), 3.8 years of smoking (SD 2.9), with a median of 1 lifetime quit attempts; 48% did not intend to quit smoking in the next 6 months. CONCLUSIONS: Despite wide variety in the success of individual ads and potential concerns about sample representativeness, Facebook was a useful, cost-effective recruitment source for young-adult smokers to complete a survey about the use of tobacco and other substances. The current findings support Facebook as a viable recruitment option for assessment of health behavior in young adults.

Smoking cessation, metabolic risk behaviors, and stress management over time in a sample of young adult smokers.

Smoking cessation may support changes in metabolic risk behaviors (e.g., high-fat diet, physical inactivity, poor sleep, low fruit and vegetable consumption [FVC]). We examined the association between smoking cessation and metabolic risk behavior profiles, mediated by readiness to change risk behaviors and moderated by stress management. Participants were young adult smokers in a randomized controlled trial of a Facebook smoking cessation intervention. Measures included stage of change for five metabolic risk behaviors: FVC, diet, physical activity, sleep hygiene, and stress management. Moderated mediation was used to examine relationships between smoking cessation at T1 (predictor), readiness to change metabolic risk behaviors at T2 (mediators), stress management at T3 (moderator), and metabolic risk behavior profile at T3 (outcome) over 9 months. T1 smoking abstinence was associated with greater readiness to increase FVC at T2, which predicted lower likelihood of T3 metabolic risk (ß = -0.22, 95% confidence interval [CI] [-0.53, -0.03]). This indirect effect was moderated by stress management such that greater readiness to increase FVC at T2 was associated with lower T3 metabolic risk for participants with unmanaged stress (ß = -0.90, 95% CI [-1.32, -0.49], p < .001), but not for participants with well-managed stress (ß = -.22, 95% CI [-0.48, 0.04], p = .096). Young adults who quit smoking subsequently had lower metabolic risk behaviors. Among participants with unmanaged stress, those who quit smoking had greater readiness to increase FVC and lower likelihood of subsequent metabolic risk. Smoking cessation interventions could aim to teach broadly applicable behavior change skills and build confidence for decreasing metabolic risk.

Addressing cigarette smoking cessation treatment challenges during the COVID-19 pandemic with social media.

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.