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.

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.

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.

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

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.

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.

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 (β = -.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 β = -1.28, p = .016) but not high income. Similarly, living with children only was associated with decreased mental distress in females (interaction β = -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).

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 (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.

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 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 (β=0.11, 95% CI=0.03, 0.18) and May (β=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.

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.

Psychological distress among caregivers raising a child with autism spectrum disorder during the COVID-19 pandemic

The COVID-19 pandemic may disproportionately impact parents of children with autism spectrum disorder (ASD). Loss of services and supports, heightened fears about increased infection rates, and disruption of daily routines likely adversely affect the well-being of children with ASD and their families. The goal of this study was to examine differences in psychological distress-as defined by symptoms of anxiety, depression, loneliness, and hyperarousal-between parents raising a child with ASD and parents in the US as a whole during the early stages of the pandemic (March-April 2020). Parents raising a child with ASD (n = 3556) were recruited through SPARK, a national ASD research registry, whereas a representative sample of parents in the US (n = 5506) were recruited from the Pew Research Center's American Trends Panel. All data were captured via online surveys. Descriptive statistics and multivariable logistic regressions examined psychological distress at the item and summary score level. Parents of children with ASD reported higher levels of overall psychological distress (48% vs. 25%; aOR = 1.60, 95% CI: 1.32, 1.84, p < 0.001). Hyperarousal, or feelings of panic when thinking about COVID-19, was particularly prevalent among parents of children with ASD compared to parents in the US (25% vs. 9%; aOR = 2.38, 95% CI: 1.83, 3.07, p < 0.001). Findings highlight the importance of considering the policies and practices that contribute to poor mental health in parents, particularly those raising a child with ASD, to ensure mental health services remain accessible. LAY SUMMARY: This study examined the mental health of parents raising a child with ASD during the early stages of the COVID-19 pandemic. Results demonstrated substantially higher levels of psychological distress, particularly those related to feelings of panic, among parents raising a child with ASD when compared to parents in the US as a whole. These data suggest the need for ensuring mental health services are accessible to parents, particularly those raising a child with ASD, during and after the pandemic.

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.

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.

Prospective Association of Digital Media Use with Alcohol Use Initiation and Progression Among Adolescents

BACKGROUND

Although 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.

METHODS

The 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.

RESULTS

Among 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.

CONCLUSIONS

Digital 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.

Shortening the Edinburgh postnatal depression scale using optimal test assembly methods: Development of the EPDS-Dep-5

AIMS

This study used a large database to develop a reliable and valid shortened form of the Edinburgh Postnatal Depression Scale (EPDS), a self-report questionnaire used for depression screening in pregnancy and postpartum, based on objective criteria.

METHODS

Item responses from the 10-item EPDS were obtained from 5157 participants (765 major depression cases) from 22 primary screening accuracy studies that compared the EPDS to the Structured Clinical Interview for DSM (SCID). Unidimensionality of the EPDS latent construct was verified using confirmatory factor analysis, and an item response theory model was fit. Optimal test assembly (OTA) methods identified a maximally informative shortened form for each possible scale length between 1 and 9 items. The final shortened form was selected based on pre-specified validity and reliability criteria and non-inferiority of screening accuracy of the EPDS as compared to the SCID.

RESULTS

A 5-item short form of the EPDS (EPDS-Dep-5) was selected. The EPDS-Dep-5 had a Cronbach's alpha of 0.82. Sensitivity and specificity of the EPDS-Dep-5 for a cutoff of 4 or greater were 0.83 (95% CI, 0.73, 0.89) and 0.86 (95% CI, 0.80, 0.90) and were statistically non-inferior to the EPDS. The correlation of total scores with the full EPDS was high (r = 0.91).

CONCLUSION

The EPDS-Dep-5 is a valid short form with minimal loss of information when compared to the full-length EPDS. The EPDS-Dep-5 was developed with OTA methods using objective, pre-specified criteria, but the approach is data-driven and exploratory. Thus, there is a need to replicate results of this study in different populations.

Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic

Background

Cross-sectional studies have found that the coronavirus disease 2019 (COVID-19) pandemic has negatively affected population-level mental health. Longitudinal studies are necessary to examine trajectories of change in mental health over time and identify sociodemographic groups at risk for persistent distress.

Purpose

To examine the trajectories of mental distress between March 10 and August 4, 2020, a key period during the COVID-19 pandemic.

Methods

Participants included 6,901 adults from the nationally representative Understanding America Study, surveyed at baseline between March 10 and 31, 2020, with nine follow-up assessments between April 1 and August 4, 2020. Mixed-effects logistic regression was used to examine the association between date and self-reported mental distress (measured with the four-item Patient Health Questionnaire) among U.S. adults overall and among sociodemographic subgroups defined by sex, age, race/ethnicity, household structure, federal poverty line, and census region.

Results

Compared to March 11, the odds of mental distress among U.S. adults overall were 1.84 (95% confidence interval [CI] = 1.65–2.07) times higher on April 1 and 1.92 (95% CI = 1.62–2.28) times higher on May 1; by August 1, the odds of mental distress had returned to levels comparable to March 11 (odds ratio [OR] = 0.80, 95% CI = 0.66–0.96). Females experienced a sharper increase in mental distress between March and May compared to males (females: OR = 2.29, 95% CI = 1.85–2.82; males: OR = 1.53, 95% CI = 1.15–2.02).

Conclusions

These findings highlight the trajectory of mental health symptoms during an unprecedented pandemic, including the identification of populations at risk for sustained mental distress.

Paediatric supraventricular tachycardia patients potentially more at risk of developing psychological difficulties compared to healthy peers

AIM

Assess executive and socio-emotional/behavioural functioning in paediatric supraventricular tachycardia (SVT) patients.

METHODS

SVT patients aged 7-17 who had not undergone catheter ablation were included. Parents completed the Child Behaviour Checklist (CBCL/6-18) and the Behavior Rating Inventory of Executive Functioning (BRIEF). Participants age 11-17 years completed the Youth Self-Report (YSR/11-18) and the BRIEF Self-Report (BRIEF-SR). One-sample z test was used to compare questionnaire results to the average t-score range (M = 50, SD = 10).

RESULTS

Thirty (18 female) children/adolescents participated (M = 12.6 years old, SD = 3.2 years) with a mean SVT onset age of 7 years (SD = 4.3 years). BRIEF and BRIEF-SR results suggested no difference in executive functioning from average. Mean t-scores of CBCL/6-18 and YSR/11-18 subscales Anxious/Depressed, Withdrawn/Depressed, Somatic Complaints, Thought Problems, Diagnostic and Statistical Manual of Mental Disorders (DSM) Affective Problems, DSM Anxiety Problems and DSM Somatic Problems were significantly elevated compared to average. YSR/11-18 subscales Social Problems, Attention Problems, Internalizing Problems, DSM ADHD Problems and DSM Oppositional Defiant Problems had elevated mean t-scores compared to average. Effect sizes were small to medium (0.2 ≤ d ≤ 0.8).

CONCLUSION

Paediatric patients with SVT potentially have a greater risk of developing behaviour, especially internalizing, problems compared to similarly aged children/adolescents without SVT.

Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis

OBJECTIVES

Estimates of depression prevalence in pregnancy and postpartum are based on the Edinburgh Postnatal Depression Scale (EPDS) more than on any other method. We aimed to determine if any EPDS cutoff can accurately and consistently estimate depression prevalence in individual studies.

METHODS

We analyzed datasets that compared EPDS scores to Structured Clinical Interview for DSM (SCID) major depression status. Random-effects meta-analysis was used to compare prevalence with EPDS cutoffs versus the SCID.

RESULTS

Seven thousand three hundred and fifteen participants (1017 SCID major depression) from 29 primary studies were included. For EPDS cutoffs used to estimate prevalence in recent studies (≥9 to ≥14), pooled prevalence estimates ranged from 27.8% (95% CI: 22.0%-34.5%) for EPDS ≥ 9 to 9.0% (95% CI: 6.8%-11.9%) for EPDS ≥ 14; pooled SCID major depression prevalence was 9.0% (95% CI: 6.5%-12.3%). EPDS ≥14 provided pooled prevalence closest to SCID-based prevalence but differed from SCID prevalence in individual studies by a mean absolute difference of 5.1% (95% prediction interval: -13.7%, 12.3%).

CONCLUSION

EPDS ≥14 approximated SCID-based prevalence overall, but considerable heterogeneity in individual studies is a barrier to using it for prevalence estimation.

Association between psychological resilience and changes in mental distress during the COVID-19 pandemic

BACKGROUND

Psychological responses to potentially traumatic events tend to be heterogeneous, with some individuals displaying resilience. Longitudinal associations between resilience and mental distress during the COVID-19 pandemic, however, are poorly understood. The objective of this study was to examine the association between resilience and trajectories of mental distress during the COVID-19 pandemic.

METHODS

Participants were 6,008 adults from the Understanding America Study, a probability-based Internet-panel representative of the US adult population. Baseline data were collected between March 10 and March 31, 2020, with nine follow-up waves conducted between April 1 and August 4. Mixed-effects logistic regression was used to examine the association between date and mental distress, stratified by resilience level (low, normal, or high).

RESULTS

In contrast to the high resilience group, participants in the low and normal resilience groups experienced increases in mental distress in the early months of the pandemic (low: OR=2.94, 95% CI=1.93-4.46; normal: OR=1.91, 95% CI=1.55-2.35). Men, middle-aged and older adults, Black adults, and adults with a graduate degree were more likely to report high resilience, whereas adults living below the poverty line were less likely to report high resilience.

LIMITATIONS

These associations should not be interpreted as causal, and resilience was measured at only one time-point.

CONCLUSIONS

Trajectories of mental distress varied markedly by resilience level during the early months of the COVID-19 pandemic, with low-resilience adults reporting the largest increases in mental distress during this crisis. Activities that foster resilience should be included in broader strategies to support mental health throughout the pandemic.

Do the Transmissible Liability Index (TLI) and Adolescent Cannabis Use Predict Paranoid and Schizotypal Symptoms at Young Adulthood?

Background: Adolescent cannabis use is an established risk factor for the development of psychosis, but the premorbid vulnerability factors and specificity versus generality of the psychotic symptom domains affected in cannabis-psychosis relationships remain incompletely understood. To improve our understanding of these relationships, we used longitudinal data to examine the individual and interactive effects of preadolescent transmissible liability to substance use disorders (SUD), measured via the transmissible liability index (TLI), and adolescent cannabis use on the development of two distinct psychotic symptom domains, paranoid and schizotypal personality traits in young adulthood. Methods: We performed secondary analysis of data from the Center for Education and Drug Abuse (CEDAR) study, which longitudinally assessed offspring of men with (N = 211) and without (N = 237) lifetime history of SUD at ages 10-12, and across adolescence as they transitioned to young adulthood. TLI scores were calculated at age 10-12, self-reported cannabis use was assessed at age 16, and paranoid and schizotypal symptoms were assessed at age 19. Results: Cannabis use at age 16 and family history of SUD were significantly associated with paranoid and schizotypal symptoms at age 19, but TLI scores were not. The interactive effect of TLI x cannabis use was also not significant. Paranoid and schizotypal symptoms showed different dose-dependent sensitivities to cannabis exposure at age 16. Conclusions: These findings indicate that adolescent cannabis use and family history of SUD differentially contribute to the development of paranoid and schizotypal personality traits through mechanisms that do not include behavioral disinhibition.

Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis

OBJECTIVE

The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scores ≥7 on a 5-item version of the Edinburgh Postpartum Depression Scale (EPDS-5). The EPDS-5 was designed as a screening questionnaire, not to classify disorders or estimate prevalence; the extent to which EPDS-5 results reflect depression prevalence is unknown. We investigated EPDS-5 ≥7 performance relative to major depression prevalence based on a validated diagnostic interview, the Structured Clinical Interview for DSM (SCID).

METHODS

We searched Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and the Web of Science Core Collection through June 2016 for studies with data sets with item response data to calculate EPDS-5 scores and that used the SCID to ascertain depression status. We conducted an individual participant data meta-analysis to estimate pooled percentage of EPDS-5 ≥7, pooled SCID major depression prevalence, and the pooled difference in prevalence.

RESULTS

A total of 3,958 participants from 19 primary studies were included. Pooled prevalence of SCID major depression was 9.2% (95% confidence interval [CI] 6.0% to 13.7%), pooled percentage of participants with EPDS-5 ≥7 was 16.2% (95% CI 10.7% to 23.8%), and pooled difference was 8.0% (95% CI 2.9% to 13.2%). In the 19 included studies, mean and median ratios of EPDS-5 to SCID prevalence were 2.1 and 1.4 times.

CONCLUSIONS

Prevalence estimated based on EPDS-5 ≥7 appears to be substantially higher than the prevalence of major depression. Validated diagnostic interviews should be used to establish prevalence.

Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

OBJECTIVES

Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale - depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence.

METHODS

We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated.

RESULTS

6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was -21.1% to 19.5%.

CONCLUSIONS

HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview.

Associations Between Media Exposure and Mental Distress Among U.S. Adults at the Beginning of the COVID-19 Pandemic

INTRODUCTION

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 (β=0.02, 95% CI=0.01, 0.03), a greater number of traditional media sources consulted to learn about COVID-19 (β=0.01, 95% CI=0.01, 0.02), and greater mental distress (β=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: β=0.14, 95% CI=0.05, 0.23; traditional media: β=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.

Mental Distress in the United States at the Beginning of the COVID-19 Pandemic

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.

Mental distress during the COVID-19 pandemic among US adults without a pre-existing mental health condition: Findings from American trend panel survey

Most individuals in the United States have no history of a mental health condition yet are at risk for psychological distress due to the COVID-19 pandemic. The objective of this study was to assess the frequency and risk and protective factors of psychological distress, during the beginning of the COVID-19 pandemic, in this group. Data comes from the Pew Research Center's American Trends Panel (ATP), a probability-based online survey panel representative of the US adult population. The analytic sample consisted of 9687 individuals with no prior history of a mental health condition who completed the survey between March 19-24, 2020. Explanatory variables included sociodemographic factors and items related to behavior, perceptions, and experiences surrounding the pandemic. The outcome was psychological distress, measured by five items on symptoms of anxiety, depression, loneliness, sleep difficulties, and hyperarousal. A multivariable linear regression model was used to identify risk and protective factors for psychological distress. Fifteen percent of the sample experienced 2 psychological distress symptoms for at least 3 days over the past week; 13% had three or more symptoms. Risk factors for higher distress included searching online or using social media to post about coronavirus, reporting that the outbreak caused major changes to personal life, and perception that the virus was a threat to the US economy, the individual's personal health or finances. This has important implications for mental health service delivery.

Cigarette excise taxes, clean indoor air laws, and use of smoking cessation treatments: A mediation analysis

The role of smoking cessation treatments in the link between clean indoor air laws and cigarette taxes with smoking cessation is not known. This study examined whether the use of smoking cessation treatments mediates the association between clean indoor air laws and cigarette excise taxes, on the one hand, and recent smoking cessation, on the other hand. Using data on 62,165 adult participants in the 2003 and 2010-2011 Current Population Survey-Tobacco Use Supplement who reported smoking cigarettes in the past year, we employed structural equation models to quantify the degree to which smoking cessation treatments (prescription medications, nicotine replacement therapy, counseling/support groups, quitlines, and internet-based resources) mediate the association between clean indoor air laws, cigarette excise taxes and recent smoking cessation. Recent smoking cessation was associated with clean indoor air laws in 2003 and with both clean indoor air laws and excise taxes in 2010-2011. Smoking cessation treatments explained between 29% to 39% of the effect of clean indoor air laws and taxes on recent smoking cessation. While clean indoor air laws remained significantly associated with the recent smoking cessation over the first decade of the 2000s, excise taxes gained a more prominent role in later years of that decade. The influence of these policies was partly mediated through the use of smoking cessation treatments, underscoring the importance of policies that make these treatments more widely available.

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis

BACKGROUND

Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9.

METHODS

We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy.

RESULTS

16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).

CONCLUSIONS

PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

Individual participant data meta-analyses (IPDMA): data contribution was associated with trial corresponding author country, publication year, and journal impact factor

OBJECTIVES

The objectives were to determine the proportion of eligible randomized controlled trials (RCTs) that contributed data to individual participant data meta-analyses (IPDMAs) and explore associated factors.

STUDY DESIGN AND SETTING

IPDMAs with ≥10 eligible RCTs were identified by searching MEDLINE, EMBASE, CINAHL, and Cochrane May 1, 2015 to February 13, 2017. Mixed-effect logistic regression was used to identify factors associated with data contribution.

RESULTS

Of 774 eligible RCTs from 35 included IPDMAs, 517 (67%, 95% confidence interval [CI]: 63%-70%) contributed data. Compared to RCTs from journals with low-impact factors (0-2.4), RCTs from journals with higher impact factors were more likely to contribute data: impact factor 5.0-9.9, odds ratio [OR] 2.6, 95% CI: 1.37-4.86; impact factor: 10.0-19.9, OR: 5.7, 95% CI: 3.0-10.8; impact factor >20.0, OR: 4.6, 95% CI: 1.9-11.4. RCTs from the United Kingdom were more likely to contribute data than those from the United States (reference; OR: 2.4, 95% CI, 1.3-4.6). There was an increase in OR per publication year (OR: 1.05, 95% CI: 1.02-1.09).

CONCLUSION

The country where RCTs are conducted, impact factor of the journal where RCTs are published, and RCT publication year were associated with data contribution in IPDMAs with ≥10 eligible RCTs.

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

OBJECTIVES

Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence.

STUDY DESIGN AND SETTING

Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status.

RESULTS

A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%).

CONCLUSION

PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

OBJECTIVE

Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D).

METHODS

Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores.

RESULTS

There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)).

CONCLUSION

Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.

Evaluating the role of Section 1115 waivers on Medicaid coverage and utilization of opioid agonist therapy among substance use treatment admissions

OBJECTIVE

To examine the impact of Section 1115 waivers on Medicaid coverage and opioid agonist therapy (OAT) utilization among substance use treatment admissions.

DATA SOURCE

Treatment Episode Data Set-Admissions (TEDS-A) (2001-2012).

STUDY DESIGN

We examined effects of 1115 waiver implementation on proportions of substance use treatment admissions with Medicaid and receiving OAT, using random intercept linear regression.

PRINCIPAL FINDINGS

1115 waiver implementation was associated with an average of a 6 percentage point increase in proportion of all admissions with Medicaid, and 4 percentage point increase among opioid outpatient admissions. Implementation was not associated with change in proportion of opioid outpatient admissions receiving OAT.

CONCLUSIONS

1115 waivers influence Medicaid coverage among substance use treatment admissions. The findings improve our understanding of how state policies impact substance use treatment utilization.

Group sample sizes in nonregulated health care intervention trials described as randomized controlled trials were overly similar

OBJECTIVES

We evaluated whether sample sizes in different arms of two-arm parallel group randomized controlled trials of nonregulated interventions were systematically closer in size than would plausibly occur by chance if simple randomization had been applied.

STUDY DESIGN AND SETTING

We searched PubMed for trials of nonregulated health care interventions that did not report using restricted randomization from journals in behavioral sciences and psychology, nursing, nutrition and dietetics, rehabilitation, and surgery. We emailed trial authors to clarify randomization procedures.

RESULTS

We identified 148 nonregulated intervention trials that indicated they used simple randomization. Difference in trial arm sizes was smaller than would be predicted by chance if simple randomization had occurred in all trials (P < 0.001). Rather than approximately half of the trials being within a 50% prediction interval for the difference, 96% had differences within this interval. Results were similar and statistically significant (P < 0.001) for trials that were published in journals with impact factors ≥ 4 and when stratified by type of nonregulated intervention.

CONCLUSION

There is a need for education and better understanding of clinical trial methods to ensure that randomization procedures are implemented as intended and reported fully and accurately.

Associations Between Time Spent Using Social Media and Internalizing and Externalizing Problems Among US Youth

IMPORTANCE

Social media use may be a risk factor for mental health problems in adolescents. However, few longitudinal studies have investigated this association, and none have quantified the proportion of mental health problems among adolescents attributable to social media use.

OBJECTIVE

To assess whether time spent using social media per day is prospectively associated with internalizing and externalizing problems among adolescents.

DESIGN, SETTING, AND PARTICIPANTS

This longitudinal cohort study of 6595 participants from waves 1 (September 12, 2013, to December 14, 2014), 2 (October 23, 2014, to October 30, 2015), and 3 (October 18, 2015, to October 23, 2016) of the Population Assessment of Tobacco and Health study, a nationally representative cohort study of US adolescents, assessed US adolescents via household interviews using audio computer-assisted self-interviewing. Data analysis was performed from January 14, 2019, to May 22, 2019.

EXPOSURES

Self-reported time spent on social media during a typical day (none, ≤30 minutes, >30 minutes to ≤3 hours, >3 hours to ≤6 hours, and >6 hours) during wave 2.

MAIN OUTCOMES AND MEASURE

Self-reported past-year internalizing problems alone, externalizing problems alone, and comorbid internalizing and externalizing problems during wave 3 using the Global Appraisal of Individual Needs-Short Screener.

RESULTS

A total of 6595 adolescents (aged 12-15 years during wave 1; 3400 [51.3%] male) were studied. In unadjusted analyses, spending more than 30 minutes of time on social media, compared with no use, was associated with increased risk of internalizing problems alone (≤30 minutes: relative risk ratio [RRR], 1.30; 95% CI, 0.94-1.78; >30 minutes to ≤3 hours: RRR, 1.89; 95% CI, 1.36-2.64; >3 to ≤6 hours: RRR, 2.47; 95% CI, 1.74-3.49; >6 hours: RRR, 2.83; 95% CI, 1.88-4.26) and comorbid internalizing and externalizing problems (≤30 minutes: RRR, 1.39; 95% CI, 1.06-1.82; >30 minutes to ≤3 hours: RRR, 2.34; 95% CI, 1.83-3.00; >3 to ≤6 hours: RRR, 3.15; 95% CI, 2.43-4.09; >6 hours: RRR, 4.29; 95% CI, 3.22-5.73); associations with externalizing problems were inconsistent. In adjusted analyses, use of social media for more than 3 hours per day compared with no use remained significantly associated with internalizing problems alone (>3 to ≤6 hours: RRR, 1.60; 95% CI, 1.11-2.31; >6 hours: RRR, 1.78; 95% CI, 1.15-2.77) and comorbid internalizing and externalizing problems (>3 to ≤6 hours: RRR, 2.01; 95% CI, 1.51-2.66; >6 hours: RRR, 2.44; 95% CI, 1.73-3.43) but not externalizing problems alone.

CONCLUSIONS AND RELEVANCE

Adolescents who spend more than 3 hours per day using social media may be at heightened risk for mental health problems, particularly internalizing problems. Future research should determine whether setting limits on daily social media use, increasing media literacy, and redesigning social media platforms are effective means of reducing the burden of mental health problems in this population.

Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis

OBJECTIVES

A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire-9. We aimed to determine whether similar results would be seen in a different population, using studies that administered the Edinburgh Postnatal Depression Scale (EPDS) in pregnancy or postpartum.

METHODS

Data accrued for an EPDS diagnostic accuracy IPDMA were analysed. Binomial generalised linear mixed models were fit to compare depression classification odds for the Mini International Neuropsychiatric Interview (MINI), Composite International Diagnostic Interview (CIDI), and Structured Clinical Interview for DSM (SCID), controlling for EPDS scores and participant characteristics.

RESULTS

Among fully structured interviews, the MINI (15 studies, 2,532 participants, 342 major depression cases) classified depression more often than the CIDI (3 studies, 2,948 participants, 194 major depression cases; adjusted odds ratio [aOR] = 3.72, 95% confidence interval [CI] [1.21, 11.43]). Compared with the semistructured SCID (28 studies, 7,403 participants, 1,027 major depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI [0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92, 0.99]) increased less as EPDS scores increased.

CONCLUSION

Different interviews may not classify major depression equivalently.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis

BACKGROUND

Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results.

OBJECTIVE

To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10.

METHODS

Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview.

RESULTS

Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88).

CONCLUSIONS

The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.

Clean indoor air laws, cigarette excise taxes, and smoking: Results from the current population survey-tobacco use supplement, 2003-2011

There was an increase in the number and coverage of state and local clean indoor air laws in the US during the past fifteen years. These laws coincided with increases in federal, state, and local cigarette excise taxes. In light of these changes, the objective of this study was to examine the association between clean indoor air laws, cigarette excise taxes and smoking patterns between 2003 and 2011. Using data on 62,165 adult participants in the 2003 and 2010/2011 Current Population Survey-Tobacco Use Supplement who reported smoking cigarettes in the past year, we examined the association of state and county workplace, bar, and restaurant clean indoor air laws and cigarette excise taxes with quitting and current every-day smoking. Between 2003 and 2011, quitting increased and daily smoking among those who continued to smoke decreased significantly. Participants living in states and counties with higher excise taxes and more comprehensive clean indoor air laws had a higher likelihood of quitting and lower likelihood of everyday smoking. Based on the assumption of no uncontrolled confounding, changes in taxes and laws accounted for 64.8% of the increase in smoking cessation and all of the reduction in everyday smoking. Implementation of state and county-level clean indoor air laws and cigarette taxes appears to have achieved the intended goal of encouraging smokers to either quit or reduce their frequency of smoking.

E-cigarette use and sleep-related complaints among youth

INTRODUCTION

E-cigarette use is highly prevalent among adolescents. However, little research has examined the relationship between e-cigarette use and sleep-related complaints in this population. The objective of this study was to assess whether exclusive e-cigarette, exclusive combusted cigarette, and dual-product use are associated with sleep-related complaints among adolescents.

METHODS

Participants were 9,588 U.S. adolescents from the Population Assessment of Tobacco and Health Study, a nationally representative cohort, followed from 2013 through 2015. Using logistic regression, we examined the cross-sectional association between past-year e-cigarette, combusted cigarette, or dual-product use and past-year sleep-related complaints (bad dreams, sleeping restlessly, or falling asleep during the day), both measured at Wave 2. We controlled for Wave 1 demographic characteristics, emotional and behavioral health, and prior history of e-cigarette use, combusted cigarette use, and sleep-related complaints.

RESULTS

In unadjusted analyses, e-cigarette, combusted cigarette, and dual-product use were significantly associated with greater odds of sleep-related complaints, compared to use of neither product (e-cigarettes: OR = 1.61, 95% CI 1.34-1.94; combusted cigarettes: OR = 1.62, 95% CI 1.26-2.09; dual-product use: OR = 2.00, 95% CI 1.63-2.46). Associations between e-cigarette and dual-product use and sleep-related complaints remained significant in fully adjusted analyses (e-cigarettes: aOR = 1.29, 95% CI 1.05-1.59; dual-product use: aOR = 1.57, 95% CI 1.24-1.99), whereas associations with combusted cigarette use were significant in all models except the fully adjusted model (aOR = 1.30, 95% CI 0.98-1.71).

CONCLUSIONS

E-cigarette and dual-product use are significantly associated with greater odds of reporting sleep-related complaints among adolescents. Future research should evaluate whether this association may be causal.

Mental Health Problems and Initiation of E-cigarette and Combustible Cigarette Use

BACKGROUND AND OBJECTIVES

During adolescence, mental health problems may increase the risk of initiating combustible cigarette use. However, it is unknown if this association extends to electronic cigarettes (e-cigarettes). We examined whether internalizing and externalizing problems were associated with initiation of e-cigarette, combustible cigarette, and dual-product use among adolescents.

METHODS

Participants were drawn from the Population Assessment of Tobacco and Health Study, a nationally representative longitudinal study of US adolescents followed from 2013 to 2015. The study sample included 7702 adolescents aged 12 to 17 years who at baseline reported no lifetime use of tobacco products. We examined the respective associations between baseline internalizing and externalizing problems and initiating use of e-cigarettes, combustible cigarettes, or both at 1-year follow-up.

RESULTS

Compared with adolescents with low externalizing problems, adolescents with high externalizing problems were significantly more likely to initiate use of e-cigarettes (adjusted relative risk ratio [aRRR] = 2.78; 95% confidence interval [CI]: 1.76-4.40), combustible cigarettes (aRRR = 5.59; 95% CI: 2.63-11.90), and both products (aRRR = 2.23; 95% CI: 1.15-4.31). Adolescents with high internalizing problems were at increased risk of initiating use of e-cigarettes (aRRR = 1.61; 95% CI: 1.12-2.33) but not combustible cigarettes or both products.

CONCLUSIONS

Mental health problems are associated with increased risk for initiating e-cigarette, combustible cigarette, and dual-product use in adolescence. This association is more consistent for externalizing problems than internalizing problems. Addressing mental health problems could be a promising target for preventing initiation of nicotine- and/or tobacco-product use by adolescents.

Evaluation of Journal Registration Policies and Prospective Registration of Randomized Clinical Trials of Nonregulated Health Care Interventions

IMPORTANCE

Many interventions that are important to the health care of patients are not subject to regulation by the US Food and Drug Administration (FDA) or comparable regulatory bodies in other nations.

OBJECTIVE

To determine whether specialty journals that publish trials of primarily nonregulated health care interventions require prospective registration and whether the prospective registration policies are associated with the publication of prospectively registered trials, trials with adequately registered outcomes, and trials with primary outcomes consistent with the registered primary outcomes.

DESIGN AND METHODS

PubMed was searched daily, from March 18, 2016, to September 17, 2016, for nonregulated intervention randomized clinical trials. The search included all journals in the Clarivate Analytics Science Citation Index Expanded categories of behavioral sciences, nursing, nutrition and dietetics, psychology, rehabilitation, and surgery. Trials of interventions not subject to FDA regulation were included. One investigator extracted journal registration policy and trial registration status. Two investigators independently extracted trial registration and publication characteristics.

MAIN OUTCOMES AND MEASURES

For journals, the main outcome was the trial registration policy. For trials, the main outcomes were prospective registration, adequacy of outcome registration, and concordance of registered with published primary outcomes.

RESULTS

In total, 953 nonregulated intervention trials published in 254 journals were identified. Prospective registration was required for publication by 29 (11.4%) of 254 journals, and an additional 12 journals (4.7%) had conditional date-based requirements. Only 189 (19.8%) of the 953 trials were registered prospectively, including 33 of 98 published in journals with prospective registration policies as compared with 156 of 855 in journals without policies (33.7% vs 18.2%; P = .004). Among the 17 journals that required prospective registration and had at least 2 included trials, none had a prospective registration of more than 50%. In journals with policies, only 3 of 98 trials included primary outcomes consistent with prospectively, adequately registered outcomes, as compared with 34 of 852 trials in journals without policies (3.1% vs 4.0%; P = .62).

CONCLUSIONS AND RELEVANCE

Few journals in behavioral sciences or psychology, nursing, nutrition and dietetics, rehabilitation, and surgery require prospective trial registration, and those with existing registration policies rarely enforce them; this finding suggests that strategies for encouraging prospective registration of clinical trials not subject to FDA regulation should be developed and tested.

Does the density of the health workforce predict adolescent health? A cross-sectional, multilevel study of 38 countries

BACKGROUND

Scant evidence exists on the relation between the availability of health professionals and adolescent health, and whether the size of the health workforce equally benefits adolescents across socioeconomic strata.

METHODS

We conducted a cross-sectional analysis of adolescent health in 38 countries. Data from 218 790 adolescents were drawn from the 2013/2014 Health Behavior in School-aged Children survey. We used multilevel regression analyses to examine the association between the density of the health workforce and psychosomatic and mental health symptoms with differences in country wealth and income inequality controlled.

RESULTS

A higher density of psychologists was associated with better self-reported mental health in adolescents (P = 0.047); however, this finding was not robust to sensitivity analyses. The densities of physicians and psychiatrists were not significantly associated with better adolescent psychosomatic or mental health. Cross-level interactions between the health workforce and socioeconomic status did not relate to health, indicating that larger health workforces did not reduce socioeconomic differences in adolescent health.

CONCLUSIONS

This study found that adolescents in countries with a higher density of health providers do not report better psychosomatic or mental health. Other social or structural factors may play larger roles in adolescent health.