Adequacy of Children's Psychopharmacology Services: Variations by Race and Clinical Characteristics.

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.

Associations of alternative cannabis product use and poly-use with subsequent illicit drug use initiation during adolescence.

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.

Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysis.

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).

Parenting Practices and Adolescent Internalizing Symptoms in the United States, 1991-2019.

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 = 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.

The role of mood disorders in the progression of and recovery from alcohol and drug use problems: A latent transition analysis.

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.

Drug use trajectories among U.S. adults during the first year of the COVID-19 pandemic.

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.

Emergency health services use and medically-treated suicidal behaviors following depression screening among adolescents: A longitudinal cohort study.

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.

Worsening sleep predicts lower life space mobility during the onset of the COVID-19 pandemic.

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 (ß = -0.38, 95% CI: -0.74, -0.01, and ß = -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.

Association of Non-Pharmaceutical Interventions to Reduce the Spread of SARS-CoV-2 With Anxiety and Depressive Symptoms: A Multi-National Study of 43 Countries.

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.

Factors associated with county-level mental health during the COVID-19 pandemic.

The objective of this study is to determine county-level factors associated with anxiety, depression, and isolation during the coronavirus disease 2019 (COVID-19) pandemic. This study used daily data from 23,592,355 respondents of a nationwide Facebook-based survey from April 2020 to July 2021, aggregated to the week-county level to yield 212,581 observations. Mental distress prevalences were modeled using weighted linear mixed-effects models with a county random effect. These models revealed that weekly percentages of mental distress were higher in counties with higher unemployment rates, populations, and education levels; higher percentages of females, young adults, individuals with a medical condition, and individuals very worried about their finances and COVID-19; and lower percentages of individuals who were working outside the home, living with children, without health insurance, and Black. Anxiety peaked in April 2020, depression in October 2020, and isolation in December 2020. Therefore, United States counties experienced the mental health effects of the pandemic differently dependent upon their characteristics, and mental distress prevalence varied across time.

Changes in drinking days among United States adults during the COVID-19 pandemic.

AIMS: To 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. DESIGN: Longitudinal, internet-based panel survey. SETTING: The Understanding America Study (UAS), a nationally representative panel of US adults age 18 or older. PARTICIPANTS: A total of 4298 US adults who reported alcohol use. MEASUREMENTS: Changes 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. FINDINGS: Compared 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. CONCLUSIONS: Between 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.

Trends in parent-rated emotional symptoms, conduct problems, and hyperactivity/inattention among U.S. children and adolescents, 2004-2019.

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 (ß=-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.

Trends in cannabis use among U.S. adults amid the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has had an impact on mental health and alcohol use in the US, however there is little research on its impacts on cannabis use. Considering the role of cannabis as a coping strategy or self-medicating behavior, there is a need to understand how individuals who use cannabis have adapted their use amid the pandemic. Therefore, this study examined changes in self-reported cannabis use among US adults in the context of COVID-19 pandemic by (1) describing trends of use during the first 8 months of the pandemic among adults who used cannabis in this period; and (2) characterizing trends of use within sociodemographic subgroups and by state cannabis policy status. METHODS: The sample consisted of 1,761 US adults who used cannabis at least once during the 8-month study period from the nationally representative Understanding America Study. Linear mixed-effect models were used to model changes in the number of days of past-week cannabis use across 16 waves from March 10, 2020, to November 11, 2020. RESULTS: Compared to early March, the number of days cannabis was used per week was significantly higher at the start of April (ß=0.11, 95% CI=0.03, 0.18) and May (ß=0.21,95% CI=0.05, 0.36). In subsequent months (June - November), the number of days of cannabis use attenuated to levels comparable to March. Trends of cannabis use across the study period generally did not differ across sociodemographic characteristics and state cannabis policy status. CONCLUSION: Though increases in use were marginal among many groups, the evolving pandemic and the growing concern for the mental health of segments of the U.S. population warrant close monitoring of coping behaviors, including substance use.

Associations of household structure and presence of children in the household with mental distress during the early stages of the U.S. COVID-19 pandemic.

PURPOSE: The objectives of the current study were to (1) assess associations between household structure (i.e., living with spouse compared to living alone, with children, or with a spouse and children), presence of children, and mental distress in April 2020 and change in mental distress (between April and August 2020); and (2) determine whether these associations are moderated by income or sex. PARTICIPANTS: A total of 2,214 adults aged 25-55 from the April and August 2020 waves of the Understanding America study were included in the analytic sample. STUDY METHOD: Multivariable, survey-weighted linear regression models were used to examine associations between explanatory variables (i.e., household structure and number of children) and outcome variables (mental distress in April and change in mental distress), measured via the Patient Health Questionnaire (PHQ)-4. RESULTS: In adjusted models, each additional child under the age of 12 was associated with lower mental distress in April 2020 (ß = -.30, p = .002). Having children aged 13 to 18 and household structure were not significantly associated with mental distress. In interaction models, living with children only was associated with decreased mental distress among individuals reporting low income (interaction ß = -1.28, p = .016) but not high income. Similarly, living with children only was associated with decreased mental distress in females (interaction ß = -1.09, p = .025) but not males. CONCLUSION: This study supports prior literature that demonstrates the positive association of child rearing with psychological well-being and suggests that these benefits may be present even under stay-at-home orders in the early stages of the U.S. COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Diagnoses and Treatment After Depression Screening in Primary Care Among Youth.

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.

Adolescents' Concerns About School Violence or Shootings and Association With Depressive, Anxiety, and Panic Symptoms.

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 into z-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.

Tobacco control policies and smoking cessation treatment utilization: A moderated mediation analysis.

BACKGROUND: Tobacco policies, including clean indoor air laws and cigarette taxes, increase smoking cessation in part by stimulating the use of cessation treatments. We explored whether the associations between tobacco policies and treatment use varies across sociodemographic groups. METHODS: We used data from 62,165 U.S. adult participants in the 2003 and 2010/11 Tobacco Use Supplement to the Current Population Survey (TUS-CPS) who reported smoking cigarettes during the past-year. We built on prior structural equation models used to quantify the degree to which smoking cessation treatment use (prescription medications, nicotine replacement therapy, counseling/support groups, quitlines, and internet resources) mediated the association between clean indoor air laws, cigarette excise taxes, and recent smoking cessation. In the current study, we added selected moderators to each model to investigate whether associations between tobacco polices and smoking cessation treatment use varied by sex, race/ethnicity, education, income, and health insurance status. RESULTS: Associations between clean indoor air laws and the use of prescription medication and nicotine replacement therapies varied significantly between racial/ethnic, age, and education groups in 2003. However, none of these moderation effects remained significant in 2010/11. Higher cigarette excise taxes in 2010/2011 were associated with higher odds of using counseling among older adults and higher odds of using prescription medications among younger adults. No other moderator reached statistical significance. Smoking cessation treatments did not mediate the effect of taxes on smoking cessation in 2003 and were not included in these analyses. CONCLUSIONS: Sociodemographic differences in associations between clean indoor air laws and smoking cessation treatment use have decreased from 2003 to 2010/11. In most cases, policies appear to stimulate smoking cessation treatment use similarly across varied sociodemographic groups.

Digital media use and suicidal behavior in U.S. adolescents, 2009-2017.

U.S. adolescent suicidal behavior and digital media use prevalence have contemporaneously increased this decade in population-level ecological analyses. The purpose of this study was to determine whether these two trends are directly associated by using multi-year person-level data to test whether the association of year with suicidal behavior was mediated by digital media use. Data were from the Youth Risk Behavior Surveillance System (2009-2017), a nationally-representative biennial cross-sectional self-report survey of U.S. students (N = 72,942). Mediation analysis was used to estimate the proportion of cross-year changes in suicidal behavior that were mediated by concurrent changes in leisure-time digital media use. Past-year suicidal behavior in 2011 (19.6%), 2013 (20.4%), 2015 (21.7%), and 2017 (20.5%) increased relative to 2009 (17.1%). Hours of daily digital media use in 2011 (mean[SD] = 2.65[1.86]), 2013 (mean[SD] = 3.02[2.08]), 2015 (mean[SD] = 2.97[2.12]), and 2017 (mean[SD] = 3.01[2.18) increased vs. 2009 (mean[SD] = 2.31[1.81]). The association of survey year with suicidal behavior was mediated by digital media use-20.5%(95%CI = 16.2, 24.8), 34.3%(95%CI = 24.5, 44.1), 22.8%(95%CI = 17.3, 28.0), and 41.4%(95%CI = 33.9, 49.5) of cross-year suicidal behavior prevalence increases (vs. 2009) for 2011, 2013, 2015, and 2017, respectively, were mediated by concurrent digital media use increases. Therefore, small proportions of the 2009-2017 increases in U.S. adolescent suicidal behavior are associated with concurrent increasing digital media use trends. Further exploration of these trends is warranted.