Factors Associated With Abstinence Among Young Adult Smokers Enrolled in a Real-world Social Media Smoking Cessation Program.

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.

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.

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.

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.

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.

Implementing Goal Mama: Barriers and Facilitators to Introducing Mobile Health Technology in a Public Health Nurse Home-Visiting Program.

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.

Problematic Social Media Use in Sexual and Gender Minority Young Adults: Observational Study.

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.

A Facebook intervention to address cigarette smoking and heavy episodic drinking: A pilot randomized controlled trial.

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) 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.

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.

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.

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.

The Relationship of E-Cigarette Use to Tobacco Use Outcomes Among Young Adults Who Smoke and Use Alcohol.

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.

Twitter-Based Social Support Added to Fitbit Self-Monitoring for Decreasing Sedentary Behavior: Protocol for a Randomized Controlled Pilot Trial With Female Patients From a Women's Heart Clinic.

BACKGROUND: Prolonged sitting is an independent risk behavior for the development of chronic disease. With most interventions focusing on physical activity and exercise, there is a separate need for investigation into innovative and accessible interventions to decrease sedentary behavior throughout the day. Twitter is a social media platform with application for health communications and fostering of social support for health behavior change. OBJECTIVE: This pilot study aims to test the feasibility, acceptability, and preliminary efficacy of delivering daily behavior change strategies within private Twitter groups to foster peer-to-peer support and decrease sedentary behavior throughout the day in women. The Twitter group was combined with a Fitbit for self-monitoring activity and compared to a Fitbit-only control group. METHODS: In a 2-group design, participants were randomized to a Twitter + Fitbit treatment group or a Fitbit-only control group. Participants were recruited via the Stanford Research Repository System, screened for eligibility, and then invited to an orientation session. After providing informed consent, they were randomized. All participants received 13 weeks of tailored weekly step goals and a Fitbit. The treatment group participants, placed in a private Twitter support group, received daily automated behavior change "tweets" informed by theory and regular automated encouragement via text to communicate with the group. Fitbit data were collected daily throughout the treatment and follow-up period. Web-based surveys and accelerometer data were collected at baseline, treatment end (13 weeks), and at 8.5 weeks after the treatment. RESULTS: The initial study design funding was obtained from the Women's Heart Clinic and the Stanford Clayman Institute. Funding to run this pilot study was received from the National Institutes of Health's National Heart, Lung, and Blood Institute under Award Number K01HL136702. All procedures were approved by Stanford University's Institutional Review Board, #32127 in 2018, prior to beginning data collection. Recruitment for this study was conducted in May 2019. Of the 858 people screened, 113 met the eligibility criteria, 68 came to an information session, and 45 consented to participate in this pilot study. One participant dropped out of the intervention, and complete follow-up data were obtained from 39 of the 45 participants (87% of the sample). Data were collected over 6 months from June to December 2019. Feasibility, acceptability, and preliminary efficacy results are being analyzed and will be reported in the winter of 2021. CONCLUSIONS: This pilot study is assessing the feasibility, acceptability, and preliminary efficacy of delivering behavior change strategies in a Twitter social support group to decrease sedentary behavior in women. These findings will inform a larger evaluation. With an accessible, tailorable, and flexible platform, Twitter-delivered interventions offer potential for many treatment variations and titrations, thereby testing the effects of different behavior change strategies, peer-group makeups, and health behaviors of interest. TRIAL REGISTRATION: ClinicalTrials.gov NCT02958189, https://clinicaltrials.gov/ct2/show/NCT02958189. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/20926.

Smartphone App to Address Loneliness Among College Students: Pilot Randomized Controlled Trial.

BACKGROUND: Loneliness is a widespread and significant problem on college campuses. Prolonged loneliness in young adulthood is a risk factor for concurrent and future mental health problems and attrition, making college a critical time for support. Cognitive and behavioral interventions show promise for decreasing loneliness and can be widely disseminated through technology. OBJECTIVE: This pilot randomized controlled trial was conducted to examine the initial efficacy, feasibility, and desirability of a smartphone app, Nod, designed to deliver cognitive and behavioral skill-building exercises to reduce loneliness during the transition to college. METHODS: First-year college students (N=221, mean age 18.7 years, 59% female) were recruited online during incoming student orientation, and randomized to either receive immediate access to Nod (experimental group, n=100) or access after 4 weeks (control group, n=121). The app delivered skills via fully automated (1) "social challenges," suggested activities designed to build social connections; (2) reflections, brief cognitive reframing exercises; and (3) student testimonials that encouraged a growth mindset toward social connection building. Main intention-to-treat analyses were used to compare the conditions on self-assessed loneliness, depressive symptoms, and other mental health and college adjustment outcomes at week 4, controlling for baseline values on those variables. Analyses were also performed to test the hypothesis that the treatment benefits would be particularly pronounced for participants with heightened psychological vulnerability at baseline (ie, higher baseline depressive symptoms and loneliness). RESULTS: Retention was 97% at week 4, and participants viewed an average 36.7 pages of app content. There were no significant condition differences in loneliness at week 4 (F1, 211=0.05, P=.82; ηp2 <.001). However, there was a significant condition-by-baseline depression interaction to predict week-4 loneliness (F1,209=9.65, P=.002; ηp2 =.04). Simple slope analyses indicated that baseline depression positively predicted week-4 loneliness among control participants (r=0.30, t209=3.81, P<.001), but not among experimental participants (r=-0.09, t209=-0.84, P=.40), suggesting that Nod buffered participants with high baseline depression scores from experiencing heightened midquarter loneliness. Similarly, there were no significant condition differences in other week-4 outcomes. However, moderation by baseline vulnerability was found for week-4 depressive symptoms, sleep quality, and indices of college adjustment (eg, perceived social support and campus belonging). CONCLUSIONS: Although Nod exposure did not impact outcomes for the full sample, these results provide initial evidence of its benefit for vulnerable students. The results of this trial suggest that cognitive and behavioral skills delivered via a mobile app can buffer psychologically vulnerable college students against heightened loneliness and depressive symptoms, as well as other negative college adjustment outcomes. Future work will aim to improve upon app engagement, and to address loneliness among other key populations. TRIAL REGISTRATION: ClinicalTrials.gov NCT04164654; https://clinicaltrials.gov/ct2/show/NCT04164654.

Factors associated with readiness to quit smoking among young adults enrolled in a Facebook-based tobacco and alcohol intervention study.

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.

Strategies to improve treatment utilization for substance use disorders: A systematic review of intervention studies.

BACKGROUND: Many people who need specialty treatment for substance use disorders (SUDs) do not receive it. Clinical interventions could increase treatment utilization but are not routinely used. This systematic review aimed to describe clinical interventions that may increase SUD specialty treatment utilization (i.e., treatment initiation, attendance, meaningful engagement) and to determine which intervention(s) most consistently increase treatment utilization. METHODS: We conducted a systematic review of clinical intervention studies (published in English between 2000 and 2017) reporting outcomes relevant to specialty SUD treatment utilization. Outcomes were treatment initiation, attendance, and meaningful engagement. Risk of bias was assessed using Cochrane guidelines and randomized controlled trials (RCTs) with bias scores < 3 were included in a synthesis of results. Proportions of positive to negative utilization outcomes were calculated for each low-bias RCT; studies with 50% positive outcomes or more were considered "majority-positive". Studies were categorized by theory-based approach. RESULTS: Twenty-three RCTs had low risk of bias and were synthesized. Among intervention types with two or more studies, cognitive-behavioral (100% majority-positive) and coordinated care (67% majority-positive) interventions were most likely to increase treatment initiation, while 12-step promotion interventions were most likely to increase treatment attendance (50% majority-positive). One study (12-step promotion) measured meaningful engagement, with majority-positive outcomes. CONCLUSIONS: A systematic review and narrative synthesis of clinical interventions promoting specialty SUD treatment utilization provided preliminary evidence that cognitive-behavioral and coordinated care interventions may increase treatment initiation, while 12-step promotion interventions may promote treatment attendance. More quality studies and greater consistency in treatment utilization measurement are needed.

Live counselor contact in a Facebook intervention predicts smoking cessation outcomes.

Digital smoking cessation interventions frequently use automated delivery of content. Integrating a counselor may improve participant engagement and facilitate health behavior change. We investigated engagement with live counseling compared to automated content in a Facebook intervention and the impact of engagement on smoking cessation outcomes. The Tobacco Status Project is a 90-day smoking cessation intervention for young adults utilizing automated posts and weekly sessions with a live counselor in Facebook groups tailored to readiness to quit (precontemplation, contemplation, preparation). Data came from the treatment group of a randomized trial. Post-level analyses investigated participant engagement (number of comments) by post type (e.g., counselor posts or automated posts based on transtheoretical model of behavior change, clinical practice guidelines, motivational interviewing), stratified by readiness to quit. Participant-level analyses examined whether extent of participant engagement with counselor posts predicted abstinence at 3 months. We analyzed data of N = 251 participants and N = 2,941 posts, 11% of which were live counselor initiated, and together generated 8,403 comments. Post-level analyses found that compared to the most engaging automated content (motivational content for precontemplation and contemplation, informational content for preparation), live counseling generated more engagement among participants in preparation, similar engagement in precontemplation, and less engagement in contemplation. Extent of live counseling participation predicted 3-month verified abstinence (adjusted OR = 1.10, 95% CI [1.02, 1.20]). In digital interventions, counselor contact may be beneficial in addition to automated posts at yielding engagement and abstinence; however, participants engage differently with counseling according to readiness to quit. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Cigarette Smoking, Mental Health, and Other Substance Use among Court-Involved Youth.

Background: Justice-involved youth are at risk to become cigarette smokers as they age, leading to a variety of poor health outcomes. However, little is known about cigarette use among justice-involved youth, especially youth supervised in the community where there is ample opportunity to smoke. Objective: This study investigates the prevalence of cigarette smoking and the associations between cigarette smoking, emotional and behavioral functioning, and other substance use among a sample of first-time offending court-involved, non-incarcerated (FTO-CINI) youth. Methods: Youth were recruited from a family court in the Northeast (N = 423). Substance use was self-reported using the Adolescent Risk Behavior Assessment (ARBA). Emotional and behavioral functioning was measured using the Behavior Assessment Schedule for Children-Second Edition (BASC-2), the Affect Dysregulation Scale (ADS), National Stressful Events Survey PTSD Short Scale (NSESSS), and the National Survey of Self-Reported Delinquency (NYS-SRD). Results: About 9.9% of FTO-CINI youth had smoked cigarettes in the past 30 days. Compared with FTO-CINI youth who had not smoked recently, recent smokers endorsed more emotional and behavioral symptoms, such as school problems (p < .001), internalizing problems (p = .012), inattention/hyperactivity (p = .020), affect dysregulation (p = .044), PTSD symptoms (p = .006), and delinquent behavior (p < .001). Recent smokers were also more likely to use alcohol (OR = 5.61, p < .001), marijuana (OR = 11.27, p < .001), and other drugs (OR = 5.00, p < .001). Conclusions: Recent smoking was higher among FTO-CINI youth than youth in the general population. Findings underscore the need to incorporate nicotine into existing substance use prevention interventions for this population, who are at high risk to initiate cigarette use as they age.