Eating disorder symptoms and comorbid mental health risk among teens recruited to a digital intervention research study via two online approaches.

INTRODUCTION: It is crucial to identify and evaluate feasible, proactive ways to reach teens with eating disorders (EDs) who may not otherwise have access to screening or treatment. This study aimed to explore the feasibility of recruiting teens with EDs to a digital intervention study via social media and a publicly available online ED screen, and to compare the characteristics of teens recruited by each approach in an exploratory fashion. METHOD: Teens aged 14-17 years old who screened positive for a clinical/subclinical ED or at risk for an ED and who were not currently in ED treatment completed a baseline survey to assess current ED symptoms, mental health comorbidities, and barriers to treatment. Bivariate analyses were conducted to examine differences between participants recruited via social media and those recruited after completion of a widely available online EDs screen (i.e., National Eating Disorders Association [NEDA] screen). RESULTS: Recruitment of teens with EDs using the two online approaches was found to be feasible, with 934 screens completed and a total of 134 teens enrolled over 6 months: 77% (n = 103) via social media 23% (n = 31) via the NEDA screen. Mean age of participants (N = 134) was 16 years old, with 49% (n = 66) identifying as non-White, and 70% (n = 94) identifying as a gender and/or sexual minority. Teens from NEDA reported higher ED psychopathology scores (medium effect size) and more frequent self-induced vomiting and driven exercise (small effect sizes). Teens from NEDA also endorsed more barriers to treatment, including not feeling ready for treatment and not knowing where to find a counselor or other resources (small effect sizes). DISCUSSION: Online recruitment approaches in this study reached a large number of teens with an interest in a digital intervention to support ED recovery, demonstrating the feasibility of these outreach methods. Both approaches reached teens with similar demographic characteristics; however, teens recruited from NEDA reported higher ED symptom severity and barriers to treatment. Findings suggest that proactive assessment and intervention methods should be developed and tailored to meet the needs of each of these groups. PUBLIC SIGNIFICANCE: This study examined the feasibility of recruiting teens with EDs to a digital intervention research study via social media and NEDA's online screen, and demonstrated differences in ED symptoms among participants by recruitment approach.

Examining Increasing Racial Inequities in Opioid Overdose Deaths: a Spatiotemporal Analysis of Black and White Decedents in St. Louis, Missouri, 2011-2021.

The third wave of the opioid overdose crisis-defined by the proliferation of illicit fentanyl and its analogs-has not only led to record numbers of overdose deaths but also to unprecedented racial inequities in overdose deaths impacting Black Americans. Despite this racialized shift in opioid availability, little research has examined how the spatial epidemiology of opioid overdose death has also shifted. The current study examines the differential geography of OOD by race and time (i.e., pre-fentanyl versus fentanyl era) in St. Louis, Missouri. Data included decedent records from the local medical examiners suspected to involve opioid overdose (N = 4420). Analyses included calculating spatial descriptive analyses and conducting hotspot analyses (i.e., Gettis-Ord Gi*) stratified by race (Black versus White) and time (2011-2015 versus 2016-2021). Results indicated that fentanyl era overdose deaths were more densely clustered than pre-fentanyl era deaths, particularly those among Black decedents. Although hotspots of overdose death were racially distinct pre-fentanyl, they substantially overlapped in the fentanyl era, with both Black and White deaths clustering in predominantly Black neighborhoods. Racial differences were observed in substances involved in cause of death and other overdose characteristics. The third wave of the opioid crisis appears to involve a geographic shift from areas where White individuals live to those where Black individuals live. Findings demonstrate racial differences in the epidemiology of overdose deaths that point to built environment determinants for future examination. Policy interventions targeting high-deprivation communities are needed to reduce the burden of opioid overdose on Black communities.

Factors associated with not ready to stop using substances among adults with an unmet treatment need: findings from the National Survey of Drug Use and Health 2015-2019.

Background: A better understanding of factors associated with not ready to stop using substances may inform provider engagement with clients who have an unmet treatment need.Objectives: This study explores how treatment barriers, the number of SUD symptoms, and types of substances used are associated with not ready to stop using substances among adults with an unmet treatment need.Methods: The data came from the 2015-2019 National Survey on Drug Use and Health. Eligible adults met DSM-IV criteria for substance abuse and dependence and reported an unmet need for treatment. Among our sample (N = 1,017), a majority self-identified as male (weighted 59.3%). We employed multivariable logistic regression to examine individual-level factors associated with not being ready to stop using substances.Results: About 38% of the respondents reported that they were not ready to stop using substances. Reporting access barriers (aOR = 0.44, 95% CI: 0.29, 0.68) and attitudinal barriers (aOR = 0.47, 95% CI: 0.28, 0.80) was associated with a lower odds of not ready to stop using. Each additional increase in SUD symptoms was associated with 23% higher odds of not being ready to stop using (aOR = 1.22, 95% CI: 1.12, 1.34). Having a diagnosis of alcohol and/or marijuana abuse or dependence was associated with higher odds of not being ready to stop using when compared to respondents without these diagnoses (aOR = 2.13, 95% CI: 1.33, 3.40; aOR = 1.82 95% CI: 1.11, 2.99).Conclusion: Not ready to stop using substances may be impacted by the type of SUD, number of SUD symptoms, and certain barriers like access and attitude to care.

How do teens with a history of suicidal behavior and self-harm interact with social media?

BACKGROUND: This study examines how engagement with depression-related social media content varies by teens who report suicidal ideation, suicide attempts, and nonsuicidal self-injury (NSSI) versus those who had not experienced each behavior. METHODS: Teens aged 15-17 years old (N = 93) were recruited from social media platforms from October 2016 to August 2018. Participants were asked three open-ended questions about the advantages and disadvantages of networking about depression-related content on social media. We conducted a qualitative analysis to capture themes in responses by question item. Univariate analyses were conducted to compare differences in the frequency of themes endorsed among the behavioral groups versus their counterparts. RESULTS: Among participants (female, 73%; non-White, 45%; sexual minority, 57%), most (93%, n = 87) endorsed depressive symptoms. Sixty-five percent (n = 60) endorsed suicidal ideation within the past year, who were more likely to indicate unhelpful social interactions (p = .02) as a disadvantage of following depression content than peers who did not endorse suicidal ideation within the past year. Eighty percent (n = 74) endorsed lifetime experience of NSSI, who were more likely to indicate negative impact on relationships (p = .01) from posting depression content than peers who did not experience NSSI. Fifty-eight percent (n = 54) endorsed a lifetime suicide attempt, who were more likely to mention offering solutions (p = .03) to someone posting concerning content than peers who did not endorse a lifetime suicide attempt. CONCLUSIONS: This study provides diverse and unique perspectives on how engagement with depression-related social media varies by mental health behaviors and informs the use of social media for recruitment and outreach for teens.

Using Social Media to Examine Themes Surrounding Fentanyl Misuse and Risk Indicators.

Background: Opioid misuse is a crisis in the United States, and synthetic opioids such as fentanyl pose risks for overdose and mortality. Individuals who misuse substances commonly seek information and support online due to stigma and legal concerns, and this online networking may provide insight for substance misuse prevention and treatment. We aimed to characterize topics in substance-misuse related discourse among members of an online fentanyl community. Method: We investigated posts on a fentanyl-specific forum on the platform Reddit to identify emergent substance misuse-related themes potentially indicative of heightened risk for overdose and other adverse health outcomes. We analyzed 27 posts and 338 comments with a qualitative codebook established using a subset of user posts via inductive and deductive methods. Posts and comments were independently reviewed by two coders with a third coder resolving discrepancies. The top 200 subreddits with the most activity by r/fentanyl members were also inductively analyzed to understand interests of r/fentanyl users. Results: Functional/quality of life impairments due to substance misuse (29%) was the most commonly occurring theme, followed by polysubstance use (27%) and tolerance/dependence/withdrawal (20%). Additional themes included drug identification with photos, substances cut with other drugs, injection drugs, and past overdoses. Media-focused subreddits and other drug focused communities were among the communities most often followed by r/fentanyl users. Conclusion: Themes closely align with DSM-V substance use disorder symptoms for fentanyl and other substances. High involvement in media-focused subreddits and other substance-misuse-related communities suggests digital platforms as acceptable for overdose prevention and recovery support interventions.

Association between Sexual Violence Victimization and Electronic Vaping Product Use among Adolescents: Findings from a Population-based Study.

BACKGROUND: Although studies have investigated the association between sexual violence (SV) victimization and substance use, few studies have examined the association between SV victimization and electronic vaping product (EVP) use among adolescents in the United States. The objective of this study was to examine the cross-sectional association between SV victimization and EVP use among adolescents. METHODS: Data were pooled from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 28,135 adolescents (51.2% female) was analyzed using binary logistic regression. The outcome variable investigated was EVP use, and the main explanatory variable was SV victimization. RESULTS: Of the 28,135 adolescents, the prevalence of past 30-day EVP use and SV victimization was 22.7% and 10.8%, respectively. Controlling for other factors, adolescents who experienced SV had 1.52 times higher odds of being EVP users when compared to their counterparts who did not experience SV (AOR = 1.52, p < .001, 95% CI = 1.27-1.82). Other factors associated with EVP use included cyberbullying victimization, symptoms of depression, and current use of cigarettes, alcohol, and marijuana. CONCLUSIONS: Experiencing SV was associated with EVP use. Future studies that employ longitudinal designs may offer more insight into the mechanisms underlying the association between SV victimization and EVP use. In addition, school-based interventions that focus on sexual violence prevention and reducing substance use among adolescents are warranted.

Leveraging Implementation Science in the Treatment of Tobacco Use Disorder.

The tobacco use disorder field has an armamentarium of approaches to help people quit smoking: medication-based treatment for tobacco use, digital therapeutics for just-intime behavioral interventions, genetic and metabolic biomarkers to guide tobacco treatment, to name a few. Whether the treatment approach is old or new, an underlying truth remains: the benefit is only as great as the extent to which these treatment approaches reach individuals who need them most and prove effective and feasible to implement in real-world settings. Further, certain treatments tend to be used more robustly in practice, namely, those that address a great need yet are low in cost, burden, and risk of clinical harms. This is where implementation science comes in, providing guidance on how best to get effective treatments adopted and used in clinical and community settings. Implementation science holds the keys to the uptake and routine use of evidence-based treatments and should be more fully leveraged in the tobacco use disorder field. At the same time, disruptive technologies in treatment are breaking new ground, pushing the field of implementation science to build a bigger "toolbox" of ways to improve access and quality of treatment in an ever-evolving landscape. In this paper, we underscore this synergy between tobacco treatment and implementation science. We spotlight emerging trends in tobacco use, effective and emerging treatment approaches for tobacco use, and ways that implementation science intersects with the current and evolving landscape of tobacco use and substance use disorder more broadly.

Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use-Associated Lung Injury Outbreak: Comparative Study.

BACKGROUND: Vaping or e-cigarette use has become dramatically more popular in the United States in recent years. e-Cigarette and vaping use-associated lung injury (EVALI) cases caused an increase in hospitalizations and deaths in 2019, and many instances were later linked to unregulated products. Previous literature has leveraged social media data for surveillance of health topics. Individuals are willing to share mental health experiences and other personal stories on social media platforms where they feel a sense of community, reduced stigma, and empowerment. OBJECTIVE: This study aimed to compare vaping-related content on 2 popular social media platforms (ie, Twitter and Reddit) to explore the context surrounding vaping during the 2019 EVALI outbreak and to support the feasibility of using data from both social platforms to develop in-depth and intelligent vaping detection models on social media. METHODS: Data were extracted from both Twitter (316,620 tweets) and Reddit (17,320 posts) from July 2019 to September 2019 at the peak of the EVALI crisis. High-throughput computational analyses (sentiment analysis and topic analysis) were conducted. In addition, in-depth manual content analyses were performed and compared with computational analyses of content on both platforms (577 tweets and 613 posts). RESULTS: Vaping-related posts and unique users on Twitter and Reddit increased from July 2019 to September 2019, with the average post per user increasing from 1.68 to 1.81 on Twitter and 1.19 to 1.21 on Reddit. Computational analyses found the number of positive sentiment posts to be higher on Reddit (P<.001, 95% CI 0.4305-0.4475) and the number of negative posts to be higher on Twitter (P<.001, 95% CI -0.4289 to -0.4111). These results were consistent with the clinical content analyses results indicating that negative sentiment posts were higher on Twitter (273/577, 47.3%) than Reddit (184/613, 30%). Furthermore, topics prevalent on both platforms by keywords and based on manual post reviews included mentions of youth, marketing or regulation, marijuana, and interest in quitting. CONCLUSIONS: Post content and trending topics overlapped on both Twitter and Reddit during the EVALI period in 2019. However, crucial differences in user type and content keywords were also found, including more frequent mentions of health-related keywords on Twitter and more negative health outcomes from vaping mentioned on both Reddit and Twitter. Use of both computational and clinical content analyses is critical to not only identify signals of public health trends among vaping-related social media content but also to provide context for vaping risks and behaviors. By leveraging the strengths of both Twitter and Reddit as publicly available data sources, this research may provide technical and clinical insights to inform automatic detection of social media users who are vaping and may benefit from digital intervention and proactive outreach strategies on these platforms.

Marijuana Use and Increases in Use over Time among Young Adult College Students in the State of Georgia: Analyses of Sociocontexual Predictors.

BACKGROUND: While research has assessed correlates of marijuana use, there has been less focus on predictors of differing levels of changes in use during young adulthood, a critical period for use/escalation. OBJECTIVES: We examined changes in marijuana use and related sociocontextual predictors (e.g., earlier-onset substance use, parental use, college type). METHODS: Using data from Georgia college students (ages 18-25 years) in a 2-year, 6-wave longitudinal study (64.6% female, 63.4% White), 2-part random-effects modeling examined use at any assessment and number of days used. RESULTS: Predictors of use status at any assessment included being male (OR = 1.87, 95%CI = [1.28-2.73]), Black (OR = 1.91, 95%CI = [1.15-3.19]), earlier-onset marijuana (OR = 2.63, 95%CI = [1.70-4.06]), cigarette (OR = 2.04, 95%CI = [1.19-3.48]), and alcohol users (OR = 1.49, 95%CI = 1.00-2.22]), parental tobacco (OR = 2.14, 95%CI = [1.18-3.86]) and/or alcohol use (OR = 1.55, 95%CI = [1.09-2.20]), and attending private (vs. public) institutions (OR = 1.68, 95%CI = [1.10-2.59]). Predictors of lower likelihood of use over time included being male (OR = 0.87, 95%CI = [0.77-0.98]), earlier-onset cigarette use (OR = 0.82, 95%CI = [0.68-0.98]), parental alcohol use (OR = 0.86, 95%CI = [0.77-0.97]), and private institution students (OR = 1.17, 95%CI = [1.02-1.34]). Predictors of more days used at baseline included being male (OR = 1.77, 95%CI = [1.40-2.23]), Black (OR = 1.42, 95%CI = [1.04-1.93]), earlier-onset marijuana (OR = 2.32, 95%CI = [1.78-3.01]) and alcohol users (OR = 1.29, 95%CI = [1.01-1.66]), and parental tobacco use (OR = 1.90, 95%CI = [1.32-2.73]). Predictors of fewer days used over time included being older (OR = 0.98, 95%CI = [0.97-1.00]), parental tobacco use (OR = 0.86, 95%CI = [0.78-0.95]), and attending private institutions (OR = 0.89, 95%CI = [0.83-0.93]). CONCLUSIONS: Intervention efforts can be informed by current findings that correlates of baseline use (e.g., being male, attending private institutions) also predicted less use over time, and one's earlier use and parents' use of various substances impacted young adult use.

Comparing the feasibility of four web-based recruitment strategies to evaluate the treatment preferences of rural and urban adults who misuse non-prescribed opioids.

This cross-sectional study examined the feasibility of using four different web-based strategies to recruit rural and urban adults who use opioids non-medically for a survey on opioid use disorder (OUD) treatment preferences, and compared the treatment preferences of rural versus urban participants. Preferences for medication for opioid use disorder (MOUD) formulation and OUD treatment models were assessed through an online survey. Recruitment advertisements were shown on Facebook, Google AdWords, Reddit, and Amazon Mechanical Turk (MTurk). Participants were categorized by zip code into urban versus rural residence using the Centers for Medicaid and Medicaid Health Resources and Services Administration definitions. OUD treatment preferences were compared using chi-square and t-tests. Among the 851 participants recruited, 815 provided zip codes and were classified as residing in rural (n = 200, 24.5%) or urban (n = 615, 75.4%) regions. A crowdsourcing service (MTurk) recruited the most rural participants, while posts on a social news website (Reddit) recruited the most urban participants (χ23 = 17.0, p < 0.01). While preferred MOUD formulation and OUD treatment model did not differ by rurality, rural participants were more likely to report a willingness to receive OUD treatment integrated with general medical care (χ21 = 18.9, p < 0.0001). This study demonstrated that web-based strategies are feasible for recruiting rural adults who misuse opioids. Results suggest OUD treatment preferences largely did not differ by rural residence, and highlight the importance of enhancing the availability and increasing education about MOUD formulations in rural regions.