The authors evaluated emotional distress among 9th-12th grade students, and examined whether the association between LGBT status and emotional distress was mediated by perceptions of having been treated badly or discriminated against because others thought they were gay or lesbian. Data come from a school-based survey in Boston, MA (n=1,032); 10% were LGBT, 58% were female, and age ranged from 13-19 years. About 45% were Black, 31% were Hispanic, and 14% were White. LGBT youth scored significantly higher on the scale of depressive symptomatology. They were also more likely than heterosexual, non-transgendered youth to report suicidal ideation (30% vs. 6%, p<0.0001) and self-harm (5% vs. 3%, p<0.0001). Mediation analyses showed that perceived discrimination accounted for increased depressive symptomatology among LGBT males and females, and accounted for an elevated risk of self-harm and suicidal ideation among LGBT males. Perceived discrimination is a likely contributor to emotional distress among LGBT youth.

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Objectives. To assess the impact of the COVID-19 pandemic on mental distress in US adults. Methods. Participants were 5065 adults from the Understanding America Study, a probability-based Internet panel representative of the US adult population. The main exposure was survey completion date (March 10–16, 2020). The outcome was mental distress measured via the 4-item version of the Patient Health Questionnaire. Results. Among states with 50 or more COVID-19 cases as of March 10, each additional day was significantly associated with an 11% increase in the odds of moving up a category of distress (odds ratio = 1.11; 95% confidence interval = 1.01, 1.21; P = .02). Perceptions about the likelihood of getting infected, death from the virus, and steps taken to avoid infecting others were associated with increased mental distress in the model that included all states. Individuals with higher consumption of alcohol or cannabis or with history of depressive symptoms were at significantly higher risk for mental distress. Conclusions. These data suggest that as the COVID-19 pandemic continues, mental distress may continue to increase and should be regularly monitored. Specific populations are at high risk for mental distress, particularly those with preexisting depressive symptoms. (Am J Public Health. Published online ahead of print September 17, 2020: e1–e7. https://doi.org/10.2105/AJPH.2020.305857 )

Background The potential for increases in adolescent marijuana use is an important concern given recent changes in marijuana policy. The purpose of this study was to estimate trends in marijuana use from 1999-2013 among a national sample of US high school students. We examine changes over time by race/ethnicity and sex. Methods Data are from the National Youth Risk Behavior Survey (YRBS), which involves biennial, school-based surveys that generate nationally-representative data about 9th-12th grade students in the United States. Students self-reported sex, race/ethnicity, and marijuana use (i.e., lifetime use, current use, any use before age 13). We generated national estimates of the prevalence of marijuana use for the time period, and also tested for linear and quadratic trends (n=115,379). Results The prevalence of lifetime marijuana use decreased modestly from 1999 to 2009 (44% to 37%), and has increased slightly since 2009 (41%). Other marijuana use variables (e.g., past 30-day use) followed a similar pattern over time. The prevalence of past 30-day use from 1999-2013 for all groups and both sexes was 22.5%, and it was lowest among Asians and highest among American Indian/Alaska Natives. Although boys have historically had a higher prevalence of marijuana use, results indicate that male-female differences in marijuana use decreased over time. Conclusion Despite considerable changes in state marijuana policies over the past 15 years, marijuana use among high school students has largely declined. Continued surveillance is needed to assess the impact of policy changes on adolescent marijuana use.

This article examines mental health outcomes of children who have witnessed violence in their social environment and/or have been physically abused. Participants (n = 167) come from a longitudinal study on child maltreatment. Outcomes-including depression, anger, and anxiety--are measured by the Child Behavior Checklist and the Trauma Symptom Checklist for Children. The authors used adjusted multivariate analyses to test the statistical significance of associations. The majority of children were female (57%) and non-White (64%). One third had been physically victimized; 46% had witnessed moderate-high levels of violence. Results confirm that children are negatively affected by victimization and violence they witness in their homes and neighborhoods. Victimization was a significant predictor of child aggression and depression; witnessed violence was found to be a significant predictor of aggression, depression, anger, and anxiety. Implications will be discussed.

Strong evidence links alcohol use to partner violence perpetration among adults, but the relation between youth alcohol use and dating violence perpetration (DVP) is not as well studied. The authors used meta-analytic procedures to evaluate current knowledge on the association between alcohol use and DVP among youth. The authors reviewed 28 studies published in 1985-2010; most (82%) were cross-sectional. Alcohol use was measured in 3 main ways: 1) frequency or quantity of use, 2) frequency of heavy episodic drinking, or 3) problem use. Collectively, results support the conclusion that higher levels of alcohol use are positively associated with youth DVP. With fixed-effects models, the combined odds ratios for DVP for frequency/quantity, heavy episodic drinking, and problem use were 1.23 (95% confidence interval (CI): 1.16, 1.31), 1.47 (95% CI: 1.17, 1.85), and 2.33 (95% CI: 1.94, 2.80), respectively. This association persisted even after accounting for heterogeneity and publication bias. No studies were designed to assess the immediate temporal association between drinking and DVP. Future research should assess whether there are acute or pharmacologic effects of alcohol use on youth DVP. Furthermore, few studies have been hypothesis driven, controlled for potential confounding, or examined potential effect measure modification. Studies designed to investigate the youth alcohol-DVP link specifically, and whether results vary by individuals' gender, developmental stage, or culture, are needed.

Exposure to disaster-related media may be a risk factor for mental distress, but this has not been examined in the context of the COVID-19 pandemic. This study assesses whether exposure to social and traditional media during the rise of the COVID-19 pandemic was associated with mental distress among U.S. adults. Methods: Data came from the Understanding America Study, conducted with a cross-sectional, nationally representative sample of adults who completed surveys online. Participants included 6,329 adults surveyed between March 10 and March 31, 2020. Regression analyses examined the associations of (1) self-reported average time spent on social media in a day (hours) and (2) number of traditional media sources (radio, TV, and newspaper) consulted to learn about COVID-19 with self-reported mental distress (4-item Patient Health Questionnaire). Data were analyzed in April 2020. Results: Participants responding at later survey dates reported more time spent on social media (b=0.02, 95% CI=0.01, 0.03), a greater number of traditional media sources consulted to learn about COVID-19 (b=0.01, 95% CI=0.01, 0.02), and greater mental distress (b=0.07, 95% CI=0.04, 0.09). Increased time spent on social media and consulting a greater number of traditional media sources to learn about COVID-19 were independently associated with increased mental distress, even after adjusting for potential confounders (social media: b=0.14, 95% CI=0.05, 0.23; traditional media: b=0.14, 95% CI=0.08, 0.20). Conclusions: Exposure to a greater number of traditional media sources and more hours on social media was modestly associated with mental distress during the rise of the COVID-19 pandemic in the U.S.

ABSTRACT. Objective: This study examines the growth of neighborhood disorder and subsequent marijuana use among urban adolescents transitioning into young adulthood. Method: Data are derived from a longitudinal sample of 434 predominately African American 12th graders followed-up at 2 years after high school. The data are rich in repeated measures documenting substance use and misuse and neighborhood characteristics. Growth mixture modeling was used to examine how neighborhood disorder trajectories, measured through the presence of abandoned buildings on the blocks where participants reside, infl uence subsequent drug use beginning in late adolescence and into young adulthood. Results: A four-class solution characterizing neighborhood growth was selected as the fi nal model and included rapidly improving, slightly improving, always-good, and deteriorating neighborhoods. Young adults living in neighborhoods that had been deteriorating over time were 30% more likely to use marijuana 2 years after high school than adolescents living in always-good neighborhoods (odds ratio = 1.30, p = .034). There was no relationship between living in a neighborhood that was improving and marijuana use. Conclusions: This study identifi ed a salient and malleable neighborhood characteristic, abandoned housing, which predicted elevated risk for young-adult marijuana use. This research supports environmental strategies that target abandoned buildings as a means to improve health and health behaviors for community residents, particularly young-adult substance use. (J. Stud. Alcohol Drugs, 72,