Background Alcohol use has profound public health impact on women; however, modifiable factors that may influence alcohol use progression/recovery, including health service utilization, are understudied in women. Objective To investigate the association between mental health (MH) and substance use (SU) treatment with alcohol use progression and recovery among women who currently use alcohol or have in the past. Methods This study is a secondary data analysis of prospective data from waves 1 (2001–2002) and 2 (2004–2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; a US-nationally representative sample of adults). The analytic sample was limited to women who reported past or current alcohol use at wave 1 (N = 15,515). Latent transition analysis (LTA) examined whether receiving SU/MH treatment in the year prior to wave 1 was associated with transitioning between three empirically-derived stages of alcohol involvement (no, moderate, and severe problems classes), between Waves 1 and 2 adjusting for possible confounders using propensity score weight. Results Compared to White female drinkers, female drinkers who were from Black, Hispanic, or other races were less likely to receive SU/MH treatment ( p -values ≤. 001). SU/MH treatment in the year prior to wave 1 was associated with transitioning from the moderate problems class to the no problems class between Waves 1 and 2 ( p -value = .04). Conclusion Receipt of SU or MH treatment among women, was associated with a higher likelihood of remission from moderate alcohol use problems to no problems over time. Future research, including investigation into treatment characteristics (e.g., frequency, duration, type) should further explore why women initially experiencing severe alcohol use problems did not experience similar remission.

ImportanceTest accuracy studies often use small datasets to simultaneously select an optimal cutoff score that maximizes test accuracy and generate accuracy estimates.ObjectiveTo evaluate the degree to which using data-driven methods to simultaneously select an optimal Patient Health Questionnaire-9 (PHQ-9) cutoff score and estimate accuracy yields (1) optimal cutoff scores that differ from the population-level optimal cutoff score and (2) biased accuracy estimates.Design, Setting, and ParticipantsThis study used cross-sectional data from an existing individual participant data meta-analysis (IPDMA) database on PHQ-9 screening accuracy to represent a hypothetical population. Studies in the IPDMA database compared participant PHQ-9 scores with a major depression classification. From the IPDMA population, 1000 studies of 100, 200, 500, and 1000 participants each were resampled.Main Outcomes and MeasuresFor the full IPDMA population and each simulated study, an optimal cutoff score was selected by maximizing the Youden index. Accuracy estimates for optimal cutoff scores in simulated studies were compared with accuracy in the full population.ResultsThe IPDMA database included 100 primary studies with 44 503 participants (4541 [10%] cases of major depression). The population-level optimal cutoff score was 8 or higher. Optimal cutoff scores in simulated studies ranged from 2 or higher to 21 or higher in samples of 100 participants and 5 or higher to 11 or higher in samples of 1000 participants. The percentage of simulated studies that identified the true optimal cutoff score of 8 or higher was 17% for samples of 100 participants and 33% for samples of 1000 participants. Compared with estimates for a cutoff score of 8 or higher in the population, sensitivity was overestimated by 6.4 (95% CI, 5.7-7.1) percentage points in samples of 100 participants, 4.9 (95% CI, 4.3-5.5) percentage points in samples of 200 participants, 2.2 (95% CI, 1.8-2.6) percentage points in samples of 500 participants, and 1.8 (95% CI, 1.5-2.1) percentage points in samples of 1000 participants. Specificity was within 1 percentage point across sample sizes.Conclusions and RelevanceThis study of cross-sectional data found that optimal cutoff scores and accuracy estimates differed substantially from population values when data-driven methods were used to simultaneously identify an optimal cutoff score and estimate accuracy. Users of diagnostic accuracy evidence should evaluate studies of accuracy with caution and ensure that cutoff score recommendations are based on adequately powered research or well-conducted meta-analyses.

The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data meta-analysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from -0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02-0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Marco Colizzi, Alexis E. Cullen, Natasha Martland, Marta Di Forti, Robin Murray, Tabea Schoeler, Sagnik Bhattacharyya Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK; Unit of Psychiatry, Department of Medicine, University of Udine, Udine, Italy; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland

Purpose: Adolescent internalizing symptoms are increasing in the United States. Changes in parenting practices, including monitoring and communication, have been hypothesized to contribute to these increases. We aimed to estimate trends in parenting practices and understand whether shifts in such practices explain increases in internalizing symptoms.Methods: Using 1991-2019 Monitoring the Future data (N 1/4 933,645), we examined trends in five parental practices (i.e., knowledge [three combined indicators], monitoring [four combined indicators], communication, weekend curfew, social permission) with ordinal regressions. We tested associations between parental practices and indicators of being in the top decile of depressive affect, low self-esteem, and self-derogation using survey-weighted logistic regressions, adjusted for gender, race/ethnicity, grade, and parental education.Results: The prevalences of parental practices have not changed over time, with the exception of increases in parental knowledge, specifically parents knowing where an adolescent is after school (1999-2019 mean increase: 4.34 to 4.61 out of 5) and knowing an adolescent's location (4.16-4.49) and company at night (4.26-4.51). Higher levels of each practice were associated with lower internalizing symptoms (e.g., adjusted odds ratio for a high depressive affect based on a one unit increase in parental knowledge: 0.89, 95% confidence interval: 0.88, 0.90). Patterns were consistent across internalizing outcomes and decade.Discussion: Parental knowledge, monitoring, and other practices are stable protective factors for adolescent mental health. These factors are not changing in a manner that would plausibly underlie increases in internalizing symptoms. Future interventions should provide resources that support these parental practices which are tied to adolescent internalizing symptoms.(c) 2022 Society for Adolescent Health and Medicine. All rights reserved.

Objective: An expert consensus approach was used to determine the adequacy of children's psychopharmacology and to examine whether adequacy varied by demographic or clinical characteristics.Methods: Data were from the baseline interview of 601 children, ages 6-12 years, who had visited one of nine outpatient mental health clinics and participated in the Longitudinal Assessment of Manic Symptoms study. Children and parents were interviewed with the Kiddie Schedule for Affective Disorders and Schizophrenia and the Service Assessment for Children and Adolescents to assess the child's psychiatric symptoms and lifetime mental health services use, respectively. An expert consensus approach informed by published treatment guidelines was used to determine the adequacy of children's psychotropic medication treatment.Results: Black children (compared with White children; OR=1.84, 95% CI=1.53-2.23) and those with anxiety disorders (vs. no anxiety disorder; OR=1.55, 95% CI=1.08-2.20) were more likely to receive inadequate pharmacotherapy; those whose caregivers had a bachelor's degree or more education (vs. those who had a high school education, general equivalency diploma, or less than high school education; OR=0.74, 95% CI=0.61-0.89) were less likely to receive inadequate pharmacotherapy.Conclusions: The consensus rater approach permitted use of published treatment efficacy data and patient characteristics (e.g., age, diagnoses, history of recent hospitalizations, and psychotherapy) to assess adequacy of pharmacotherapy. These results replicate findings of racial disparities reported in previous research using traditional methods to determine treatment adequacy (e.g., with a minimum number of treatment sessions) and highlight the continued need for research on racial disparities and strategies to improve access to high-quality care.

Rationale Specific cannabis products may differentially increase risk of initiating non-cannabis illicit drug use during adolescence. Objective To determine whether ever- and poly-use of smoked, vaporized, edible, concentrate, or blunt cannabis products are associated with subsequent initiation of non-cannabis illicit drug use. Methods High school students from Los Angeles completed in-classroom surveys. The analytic sample ( N = 2163; 53.9% female; 43.5% Hispanic/Latino; baseline M age = 17.1 years) included students who reported never using illicit drugs at baseline (spring, 11th grade) and provided data at follow-up (fall and spring, 12th grade). Logistic regression models assessed associations between use of smoked, vaporized, edible, concentrate, and blunt cannabis at baseline (yes/no for each product) and any non-cannabis illicit drug use initiation—including cocaine, methamphetamine, psychedelics, ecstasy, heroin, prescription opioids, or benzodiazepines—at follow-up. Results Among those who never used non-cannabis illicit drugs at baseline, ever cannabis use varied by cannabis product (smoked = 25.8%, edible = 17.5%, vaporized = 8.4%, concentrates = 3.9%, and blunts = 18.2%) and patterns of use (single product use = 8.2% and poly-product use = 21.8%). After adjustment for baseline covariates, odds of illicit drug use at follow-up were largest for baseline ever users of concentrates (aOR [95% CI] = 5.74[3.16–10.43]), followed by vaporized (aOR [95% CI] = 3.11 [2.41–4.01]), edibles (aOR [95% CI] = 3.43 [2.32–5.08]), blunts (aOR [95% CI] = 2.66[1.60–4.41]), and smoked (aOR [95% CI] = 2.57 [1.64–4.02]) cannabis. Ever use of a single product (aOR [95% CI] = 2.34 [1.26–4.34]) or 2 + products (aOR [95% CI] = 3.82 [2.73–5.35]) were also associated with greater odds of illicit drug initiation. Conclusions For each of five different cannabis products, cannabis use was associated with greater odds of subsequent illicit drug use initiation, especially for cannabis concentrate and poly-product use.

The primary goal of depression screening is to reduce adverse psychiatric outcomes, which may have downstream implications for reducing avoidable health services use. The objective of this study was to examine the association of depression screening with emergency health services use and medically-treated suicidal behaviors among adolescents in the U.S. This longitudinal cohort study used insurance claims data from 57,732 adolescents who had at least one well-visit between 2014 and 2017. Propensity score matching was used to compare adolescents who were screened for depression to similar adolescents who were not screened for depression during the well-visit. Outcomes were examined over two-year follow-up and included emergency department use and inpatient hospitalizations for depression-related reasons, mental health-related reasons, and any reason as well as medically-treated suicidal behaviors. Log-binomial regression models were used to examine associations between depression screening and each outcome in the matched sample. Heterogeneity of associations by sex was examined with interaction terms. Being screened for depression was not consistently associated with emergency department use (depression-related reasons: RR = 1.00, 95% CI = 0.76-1.30; mental health-related reasons: RR = 1.02, 95% CI = 0.80-1.29; any reason: RR = 0.96, 95% CI = 0.83-1.11), inpatient hospitalizations (depression-related reasons: RR = 1.05, 95% CI = 0.84-1.31; mental health-related reasons: RR = 1.16, 95% CI = 1.00-1.33; any reason: RR = 1.05, 95% CI = 0.99-1.12), or medically-treated suicidal behaviors (RR = 0.83, 95% CI = 0.51-1.36). Associations were similar in magnitude among male and female adolescents. The results of this study suggest that depression screening, as it is currently practiced in the U.S., may not deter avoidable health services use among adolescents.

Objectives: To examine the association of non-pharmaceutical interventions (NPIs) with anxiety and depressive symptoms among adults and determine if these associations varied by gender and age.Methods: We combined survey data from 16,177,184 adults from 43 countries who participated in the daily COVID-19 Trends and Impact Survey via Facebook with time-varying NPI data from the Oxford COVID-19 Government Response Tracker between 24 April 2020 and 20 December 2020. Using logistic regression models, we examined the association of [1] overall NPI stringency and [2] seven individual NPIs (school closures, workplace closures, cancellation of public events, restrictions on the size of gatherings, stay-at-home requirements, restrictions on internal movement, and international travel controls) with anxiety and depressive symptoms.Results: More stringent implementation of NPIs was associated with a higher odds of anxiety and depressive symptoms, albeit with very small effect sizes. Individual NPIs had heterogeneous associations with anxiety and depressive symptoms by gender and age.Conclusion: Governments worldwide should be prepared to address the possible mental health consequences of stringent NPI implementation with both universal and targeted interventions for vulnerable groups.

This study characterized the prevalence, sociodemographic characteristics, and behavioral health of U.S. adult subpopulations with distinct drug use trajectories during the first year of the COVID-19 pandemic. Adult respondents (n = 8306) in a nationally-representative longitudinal study completed 13 monthly web surveys (March 2020-March 2021). Frequency of past-week drug use, cannabis use, and alcohol use (range:0-7), as well as anxiety and depressive symptoms, were assessed at each survey. Growth mixture models were used to parse out distinct subpopulations with homogenous drug use trajectories based on mean drug use days over time. Four drug use trajectories were identified: Stable Abstinence (85.7% [95%CI = 85.0-86.5] of the sample) with <1 mean past-week drug use days; Escalating Infrequent Use (7.1% [95%CI = 6.6-7.7]) with 0.2 March mean past-week drug use days and increases from April to October; Use Cessation (4.3% [95%CI = 3.8-4.7]) with 1.1 March mean past-week drug use days that initially increased, then sharply decreased to near zero; and Stable Frequent Use (2.9% [95%CI = 2.5-3.3]) with between 2.4 and 3.5 past-week drug use days across the study period. Compared to the stable abstinence group, the other subgroups were more likely to be Hispanic or Black, younger in age, unemployed, below the federal poverty line, and less likely to have a college degree or be married. They also reported higher levels of alcohol and cannabis use, as well as higher anxiety and depressive symptoms. These results provide opportunities to optimize the targeted delivery of preventive interventions for substance use during the COVID-19 pandemic and future public health emergencies.

Introduction: Longitudinal research assessing whether mood disorders predict substance use behaviors is limited. We extend our prior work evaluating transition patterns with alcohol use to assess patterns with alcohol and drug use problems. Method: Using National Epidemiologic Survey on Alcohol and Related Conditions prospective data, waves 1 and 2, we completed latent class analyses to empirically define classes of alcohol and drug problems from DSM disorder criteria. Latent transition analyses were used to assess associations of lifetime mood disorders at baseline with transitions across classes of alcohol and drug problems during follow-up. Results: A three-class model of alcohol and drug problems was identified (No problems, Alcohol Problems Only, and Alcohol and Drug Problems) for males and females. Females with mood disorders were over two times more likely to transition from No Problems, and Alcohol Problems Only at baseline to having both Alcohol and Drug Problems at follow-up relative to those without mood disorders (aOR=2.30, 95 % CI=1.31-4.05, p = 0.004, and aOR=2.64, CI=1.24-5.62, p = 0.011, respectively). Furthermore, females with mood disorders were significantly less likely to recover from baseline Alcohol and Drug Problems to Alcohol Problems Only at follow-up (aOR=0.35, CI=0.12-0.98, p = 0.047) relative to those without mood disorders. There were no significant findings for males. Discussion: Our study provides evidence that mood disorders impact transitions through classes of alcohol and drug problems among females. The findings emphasize the need for ongoing evaluation of substance use among those with mood conditions, and recognition and treatment of mood disorders among those recovering from substance use problems.

The COVID-19 pandemic has contributed to poor health due to a decrease in healthcare utilization and those with mental health problems may be impacted.For this analysis, data came from a cross-sectional, nationally representative December 2020 survey. Logistic regression analyses examined associations between (1) mental distress and delayed medical visits, (2) mental distress and missed prescription refills, controlling for sociodemographics, pre-existing chronic conditions, and access to health insurance. We found that, compared to those that exhibited normal levels of mental distress, those with mild (aOR = 2.83, 95% CI = 2.47-3.24), moderate (aOR = 3.43, 95% CI = 2.95-3.99), and severe (aOR = 4.96, 95% CI = 4.21-5.84) mental distress showed greater odds of delaying medical visits. Similarly, compared to those that exhibited normal levels of mental distress, those with mild (aOR =3.93, 95% CI = 3.04-5.09), moderate (aOR =6.52, 95% CI = 5.07-8.43), and severe (aOR =8.69, 95% CI = 6.71-11.32) mental distress showed greater odds of missing prescription refills. Our study shows that individuals who showed signs of mental distress had increased odds of delayed medical visits and missed prescription refills, compared to those that showed normal levels of mental distress.

Background Poor sleep health is an understudied yet potentially modifiable risk factor for reduced life space mobility (LSM), defined as one's habitual movement throughout a community. The objective of this study was to determine whether recalled changes in sleep traits (e.g., sleep quality, refreshing sleep, sleep problems, and difficulty falling asleep) because of the COVID-19 pandemic were associated with LSM in older adults. Methods Data were obtained from a University of Florida-administered study conducted in May and June of 2020 (n = 923). Linear regression models were used to assess the impact of COVID-related change in sleep traits with summary scores from the Life Space Assessment. Analyses were adjusted for demographic, mental, and physical health characteristics, COVID-related avoidant behaviors, and pre-COVID sleep ratings. Results In unadjusted models, reporting that any sleep trait got "a lot worse" or "a little worse" was associated with a decrease in LSM (all p < 0.05). Results were attenuated when accounting for demographic, mental, and physical health characteristics. In fully adjusted models, reporting that problems with sleep got "a lot worse" or that refreshing sleep got "a little worse" was associated with a lower standardized LSM score (beta = -0.38, 95% CI: -0.74, -0.01, and beta = -0.19, 95% CI: -0.37, -0.00, respectively). Conclusions While additional research is needed in diverse people and environments, the results demonstrate an association between sleep traits that worsen in response to a health threat and reduced LSM. This finding suggests that interventions that focus on maintaining sleep health in times of heightened stress could preserve LSM.

During the COVID-19 pandemic, news and social media outlets have played a major role in dissemination of information. This analysis aimed to study the association between trust in social and traditional media and experiences of mental distress among a representative sample of US adults. Data for this study came from National Pandemic Pulse, a cross-sectional, nationally representative survey that sampled participants on the Dynata platform. Participants included 6435 adults surveyed between 15-23 December 2020. Ordinal logistic regression analyses examined the associations of trust in (i) social media, (ii) print media, (iii) broadcast TV and (iv) cable TV, for COVID-19-related information with self-reported mental distress (4-item Patient Health Questionnaire), controlling for sociodemographics and census region. Compared with those who distrusted social media, those who trusted social media had 2.09 times (95% CI = 1.84-2.37) greater adjusted odds of being in a more severe category of mental distress. In contrast, compared with those who distrusted print media, those who trusted print media had 0.80 times (95% CI = 0.69-0.93) lower adjusted odds of being in a more severe category of mental distress. No significant associations were found between mental distress and trust in broadcast or cable TV for accessing news about COVID-19. Trust in different news outlets may be associated with mental distress during public health emergencies like the COVID-19 pandemic. Future studies should explore mechanisms behind these associations, including adherence to best practices for crisis reporting among different media sources and exposure of individuals to misinformation.

BACKGROUND:Evidence suggests that the prevalence of self-rated psychological symptoms among children and adolescents has changed in the past two decades. Our objective was to examine if similar trends are apparent in parent-rated assessments of psychological symptoms. METHODS:Participants were a nationally-representative sample of parents who rated psychological symptoms in their children (ages 4-17) in either the 2004 (n = 9,012) or 2019 (n = 7,092) National Health Interview Survey. Emotional symptoms, conduct problems, inattention/hyperactivity, and perceived burden of psychological symptoms were measured with the Strengths and Difficulties Questionnaire. Log-binomial regression models were used to calculate prevalence ratios (PRs) comparing the prevalence of serious psychological symptoms between 2004 and 2019. Interactions terms were included to determine if trends varied among sociodemographic subgroups defined by age, sex, and race/ethnicity. RESULTS:In the complete sample, the prevalence of serious psychological symptoms did not change over time for emotional symptoms (PR=1.00, 95% CI=0.84-1.18), conduct problems (PR=0.90, 95% CI=0.74-1.09), or inattention/hyperactivity (PR=0.94, 95% CI=0.78-1.12). Trends did not differ significantly between sociodemographic subgroups. The perceived impact (β=-0.44, 95% CI=-0.64, -0.23) and burden of psychological symptoms (odds ratio [OR]=0.66, 95% CI=0.57-0.77) declined slightly over time. LIMITATIONS:Trends are based on cross-sectional samples from only two time-points. CONCLUSIONS:The prevalence of parent-rated emotional symptoms, conduct problems, and inattention/hyperactivity did not change between 2004 and 2019 among U.S. children and adolescents. Parent-rated assessments of psychological symptoms in youth may measure different constructs than self-rated assessments.

Importance The prevalence of internalizing problems among US adolescents has risen in the past decade. The extent to which concerns about school violence or shootings are associated with risk of internalizing problems is unknown. Objective To examine the prospective association of concern, worry, and stress related to school violence or shootings with internalizing problems and to examine sex and racial and ethnic differences in the magnitude of the associations. Design, Setting, and Participants This longitudinal cohort study involved 3 surveys administered 6 months apart (fall of grade 11 [prebaseline]; spring of grade 11 [baseline]; and fall of grade 12 [follow-up]) from 2015 to 2016. Participants included 2263 students from 10 high schools in Los Angeles, California. Analyses were performed from April 29, 2020, to April 8, 2021. Exposures Baseline self-reported level of concern, worry, and stress about shootings or violence at the student's school or other schools, each rated on 5-point scales (ranging from not at all [0] to extremely [4]) with a mean score calculated as a 3-item composite index rescaled intoz-score standard deviation units. Main Outcomes and Measures Surpassing clinically significant or borderline significant thresholds for major depressive disorder, generalized anxiety disorder, or panic disorder based on symptom ratings on the Revised Children's Anxiety and Depression Scale at 6-month follow-up. Results Of the 2263 students included in the analyses (1250 [55.2%] girls; mean [SD] age, 16.5 [0.4] years), appreciable proportions reported being very or extremely concerned (850 0f 2226 [38.2%]), worried (703 of 2209 [31.8%]), or stressed (332 of 2183 [15.2%]) about shootings or violence at their school or other schools. After adjusting for prebaseline covariates, concerns about school violence or shootings were associated with clinically significant generalized anxiety symptoms (odds ratio [OR], 1.31; 95% CI, 1.15-1.50) and panic symptoms (OR, 1.18; 95% CI, 1.05-1.32), but not depressive symptoms (OR, 1.13; 95% CI, 0.99-1.30) at the 6-month follow-up. There was a significant association between concern with school violence or shootings and depressive symptoms for Black youth (OR, 3.15; 95% CI, 1.38-7.19) and non-Hispanic/Latinx White youth (OR, 1.62 [95% CI, 1.25-2.09]) but not for youth of other races and ethnicities (OR for Asian, 1.26 [95% CI, 0.86-1.85]; OR for Hispanic/Latinx, 0.94 [95% CI, 0.76-1.16]; OR for other, 0.93 [95% CI, 0.54-1.61]). Sex did not moderate these associations. Conclusions and Relevance The findings of this study suggest that concern, worry, and stress related to school violence or shootings may be risk factors for internalizing problems among adolescents, with variation in the strength of the association by race/ethnicity.

Introduction Depression screening is universally recommended for adolescents presenting in primary care settings in the U.S. However, little is known about how depression screening affects the likelihood of being diagnosed with a mental disorder or accessing mental health care over time. Methods This longitudinal cohort study used insurance claims data from adolescents who attended a well-visit between 2014 and 2017. Propensity score matching was used to compare adolescents who were screened for depression with similar unscreened adolescents. Diagnoses and treatment uptake were examined over a 6-month follow-up and included depression diagnoses, mood-related diagnoses, antidepressant medications, any mental health medication, and psychotherapy. Heterogeneity of associations by sex was also examined. Analyses were conducted from December 2020 to June 2021. Results The sample included 57,732 adolescents (mean age, 14.26 years; 48.9% female). Compared with adolescents who were not screened for depression, adolescents screened for depression were 30% more likely to be diagnosed with depression (risk ratio=1.30, 95% CI=1.11, 1.52) and 17% more likely to receive a mood-related diagnosis (risk ratio=1.17, 95% CI=1.08, 1.27) but were not more likely to be treated with an antidepressant medication (risk ratio=1.11, 95% CI=0.82, 1.51), any mental health medication (risk ratio=1.15, 95% CI=0.87, 1.53), or psychotherapy (risk ratio=1.13, 95% CI=0.98, 1.31). Associations were generally stronger among female adolescents. Conclusions Adolescents who were screened for depression during a well-visit were more likely to receive a diagnosis of depression or a mood-related disorder in the 6 months after screening. Future research should explore methods for increasing treatment uptake after screening.

BackgroundAlthough adolescents commonly use digital media and consume alcohol , longitudinal evidence of the association between these behaviors is scant. This study examined the association between the frequency of digital media use and the subsequent initiation or progression of alcohol use. We also examined whether these associations were moderated by gender and race/ethnicity.MethodsThe study included 2,473 adolescents from a prospective cohort in the Los Angeles, CA area who were surveyed in fall 2015 (11th grade, baseline for the current study) and every 6 months through the end of high school (Spring 2017, 12th grade). At baseline, youth self‐reported the total number of 14 digital media activities (e.g., checking social media, streaming music/videos, texting) they engaged in at a high frequency (i.e., many times a day) over the past week. Scores ranged from 0 (i.e., no reported high‐frequency digital media use) to 14 (i.e., reported engagement in all 14 digital media activities at a high frequency). Self‐report measures of ever using alcohol, number of days of alcohol use in the past 30 days (0 to 30), binge drinking (yes/no), and covariates (i.e., demographics and measures of behavioral health and other substance use) were assessed at each time point.ResultsAmong respondents who at baseline reported never using alcohol (n = 1,214), high‐frequency engagement in each additional digital media activity was associated with 4% higher odds of initiating alcohol use (aOR = 1.04, 95% CI: 1.01 to 1.07) across follow‐up. Among respondents who at baseline reported ever using alcohol (n = 1,259), baseline high‐frequency engagement in each additional digital media activity was associated at follow‐up with 3% more days of alcohol use in the past 30 days (aIRR = 1.03, 95% CI: 1.00 to 1.06). Digital media use and binge drinking were not statistically significantly associated at follow‐up. There was no evidence of moderation by gender or race/ethnicity.ConclusionsDigital media use frequency was modestly associated with increased risk of initiation and progression of alcohol use in adolescence. Additional research is needed to determine potential mechanisms for these associations.

AbstractAimsTo examine changes in drinking behavior among United States (US) adults between March 10 and July 21, 2020, a critical period during the COVID‐19 pandemic.DesignLongitudinal, internet‐based panel survey.SettingThe Understanding America Study (UAS), a nationally representative panel of US adults age 18 or older.ParticipantsA total of 4298 US adults who reported alcohol use.MeasurementsChanges in number of reported drinking days from March 11, 2020 through July 21, 2020 in the overall sample and stratified by sex, age, race/ethnicity, household structure, poverty status, and census region.FindingsCompared with March 11, the number of drinking days per week was significantly higher on April 1 by an average of 0.36 days (95% CI = 0.30, 0.43), on May 1 by an average of 0.55 days (95% CI = 0.47, 0.63), on June 1 by an average of 0.41 days (95% CI = 0.33, 0.49), and on July 1 by an average of 0.39 days (95% CI = 0.31, 0.48). Males, White participants, and older adults reported sustained increases in drinking days, whereas female participants and individuals living under the federal poverty line had attenuated drinking days in the latter part of the study period.ConclusionsBetween March and mid‐July 2020, adults in the United States reported increases in the number of drinking days, with sustained increases observed among males, White participants, and older adults.