Do traumatic events and substance use co-occur during adolescence? Testing three causal etiologic hypotheses.

BACKGROUND: Why do potentially traumatic events (PTEs) and substance use (SU) so commonly co-occur during adolescence? Causal hypotheses developed from the study of posttraumatic stress disorder (PTSD) and substance use disorder (SUD) among adults have not yet been subject to rigorous theoretical analysis or empirical tests among adolescents with the precursors to these disorders: PTEs and SU. Establishing causality demands accounting for various factors (e.g. genetics, parent education, race/ethnicity) that distinguish youth endorsing PTEs and SU from those who do not, a step often overlooked in previous research. METHODS: We leveraged nationwide data from a sociodemographically diverse sample of youth (N = 11,468) in the Adolescent Brain and Cognitive Development Study. PTEs and substance use prevalence were assessed annually. To account for the many pre-existing differences between youth with and without PTE/SU (i.e. confounding bias) and provide rigorous tests of causal hypotheses, we linked within-person changes in PTEs and SU (alcohol, cannabis, nicotine) across repeated measurements and adjusted for time-varying factors (e.g. age, internalizing symptoms, externalizing symptoms, and friends' use of substances). RESULTS: Before adjusting for confounding using within-person modeling, PTEs and SU exhibited significant concurrent associations (ßs = .46-1.26, ps < .05) and PTEs prospectively predicted greater SU (ßs = .55-1.43, ps < .05) but not vice versa. After adjustment for confounding, the PTEs exhibited significant concurrent associations for alcohol (ßs = .14-.23, ps < .05) and nicotine (ßs = .16, ps < .05) but not cannabis (ßs = -.01, ps > .05) and PTEs prospectively predicted greater SU (ßs = .28-.55, ps > .05) but not vice versa. CONCLUSIONS: When tested rigorously in a nationwide sample of adolescents, we find support for a model in which PTEs are followed by SU but not for a model in which SU is followed by PTEs. Explanations for why PTSD and SUD co-occur in adults may need further theoretical analysis and adaptation before extension to adolescents.

A Comparison of Remote Versus in-Person Assessments of Substance Use and Related Constructs Among Adolescents.

Objective: Underreporting of adolescent substance use is a known issue, with format of assessment (in-person vs. remote) a potentially important factor. We investigate whether being assessed remotely (via phone or videoconference) versus in-person affects youth report of substance use patterns, attitudes, and access, hypothesizing remote visits would garner higher levels of substance use reporting and more positive substance use attitudes. Methods: We used the Adolescent Brain and Cognitive DevelopmentSM [ABCD] Study data between 2021-2022 during the COVID-19 pandemic. Participants chose whether to complete assessments in-person (n=615; 49% female; meanage=13.9; 57% White) or remotely (n=1,467; 49% female, meanage=13.7; 49% White). Regressions predicted substance use patterns, attitudes, and access, by visit format, controlling for relevant sociodemographic factors. Effect sizes and standardized mean differences are presented. Results: 17% of adolescent participants reported any level of substance use. Youth interviewed remotely reported more negative expectancies of alcohol and cannabis. In addition, those queried remotely were less likely to endorse use), sipping alcohol, eating cannabis), and reported less curiosity or intent to try alcohol, though these differences did not survive an adjustment for multiple testing. Effect sizes ranged from small to medium. Conclusions: Preliminary evidence suggests youth completing remote visits were more likely to disclose negative expectancies toward alcohol and cannabis. Effect sizes were modest, though 37 of 39 variables examined trended toward restricted reporting during remote sessions. Thus, format of substance use assessment should be controlled for, but balanced by other study needs (e.g., increasing accessibility of research to all sociodemographic groups).

Family Well-Being During the COVID-19 Pandemic: The Risks of Financial Insecurity and Coping.

During the COVID-19 pandemic, families have experienced unprecedented financial and social disruptions. We studied the impact of preexisting psychosocial factors and pandemic-related financial and social disruptions in relation to family well-being among N = 4091 adolescents and parents during early summer 2020, participating in the Adolescent Brain Cognitive DevelopmentSM Study. Poorer family well-being was linked to prepandemic psychosocial and financial adversity and was associated with pandemic-related material hardship and social disruptions to routines. Parental alcohol use increased risk for worsening of family relationships, while a greater endorsement of coping strategies was mainly associated with overall better family well-being. Financial and mental health support may be critical for family well-being during and after a widespread crisis, such as the COVID-19 pandemic.

Concordance between substance use self-report and hair analysis in community-based adolescents.

Background: Accurate drug use identification through subjective self-report and toxicological biosample (hair) analysis are necessary to determine substance use sequelae in youth. Yet consistency between self-reported substance use and robust, toxicological analysis in a large sample of youth is understudied.Objectives: We aim to assess concordance between self-reported substance use and hair toxicological analysis in community-based adolescents.Methods: Hair results by LC-MS/MS and GC-MS/MS and self-reported past-year substance use from an Adolescent Brain Cognitive Development (ABCD) Study subsample (N = 1,390; ages 9-13; 48% female) were compared. The participants were selected for hair selection through two methods: high scores on a substance risk algorithm selected 93%; 7% were low-risk, randomly selected participants. Kappa coefficients the examined concordance between self-report and hair results.Results: 10% of youth self-reported any past-year substance use (e.g. alcohol, cannabis, nicotine, and opiates), while a mostly non-overlapping 10% had hair results indicating recent substance use (cannabis, alcohol, non-prescription amphetamines, cocaine, nicotine, opiates, and fentanyl). In randomly selected low-risk cases, 7% were confirmed positive in hair. Combining methods, 19% of the sample self-reported substance use and/or had a positive hair sample. Kappa coefficient of concordance between self-report and hair results was low (kappa = 0.07; p = .007).Conclusions: Hair toxicology identified substance use in high-risk and low-risk ABCD cohort subsamples. Given low concordance between hair results and self-report, reliance on either method alone would incorrectly categorize 9% as non-users. Multiple methods for characterizing substance use history in youth improves accuracy. Larger representative samples are needed to assess the prevalence of substance use in youth.

Do Language-Related Cognitive Capacities Help Predict Adjustment in Children with Attention-Deficit/Hyperactivity Disorder?

The goal of this paper was to examine the role that language-related cognitive capacities (LRCC) might play in explaining adjustment of 7 to 12 year-old children (Mage = 9.24; SDage = 0.91) with and without ADHD. The sample was comprised of 178 children with ADHD and 86 typically-developing children (77.3% male; 81.4% White; 9.5% Black; 1.9% Hispanic; 0.8% Asian; 5.7% multiracial; 0.8% did not report race/ethnicity). Using simultaneous regression, we examined whether LRCC accounted for unique variance in achievement, attention problems, oppositional problems, conduct problems, and internalizing, over and above what standard covariates and ADHD diagnostic status could explain. Finally, we examined LRCC as a mediator of the relation between ADHD diagnostic status and these adjustment measures. Results indicated that LRCC significantly predicted 6 of 7 and partially mediated 5 of 7 measures, suggesting that language-related constructs warrant greater attention in diagnosis and treatment of ADHD.

Predictors of Changes in Height, Weight, and Body Mass Index After Initiation of Central Nervous System Stimulants in Children with Attention Deficit Hyperactivity Disorder.

OBJECTIVE: To identify predictors of changes in height, weight, and body mass index (BMI) in children with attention deficit hyperactivity disorder (ADHD) starting central nervous system (CNS) stimulants. STUDY DESIGN: There were 230 medication-naïve children aged 5-12 years with ADHD who participated in a randomized trial evaluating the impact of CNS stimulants on growth over 30 months. This observational analysis focused on the 141 participants using study medication for 65 or more days in the first 6-months after starting medication. Biometric variables, ADHD, and oppositional defiant disorder symptom scores at medication initiation, and medication use over the study were examined as predictors of changes in standardized (z) height, weight, and BMI. RESULTS: Mean changes in z-BMI, z-weight. and z-height were negative throughout the study. The most consistent predictors of change in z-BMI, z-weight, and z-height were percent days medicated and total medication exposure. Children with lower z-height and z-weight at medication initiation experienced greater z-BMI and z-weight decreases over the first 6 months on medication. Greater appetite suppression during dose optimization predicted greater decreases in z-weight over the entire study and a greater decrease in z-height over the first 6 months on medication. z-weight change correlated with z-height change. Behavioral symptoms did not predict changes in z-BMI, z-weight, or z-height. CONCLUSIONS: How much and how often CNS stimulants are used predicts changes in z-BMI, z-weight, and z-height in children. Even smaller and lighter children may be at risk for decreases in z-weight and z-BMI. Parent ratings of appetite during dose titration may serve as feasible indicators of future weight and height change in children using CNS stimulants. TRIAL REGISTRATION: Clinicialtrials.gov: NCT01109849.

Paths to postsecondary education enrollment among adolescents with and without childhood attention-deficit/hyperactivity disorder (ADHD): A longitudinal analysis of symptom and academic trajectories.

We examined developmental trajectories of attention-deficit/hyperactivity disorder (ADHD) symptoms, standardized achievement, and school performance for adolescents with and without ADHD who did and did not enroll in postsecondary education (PSE; N = 749; 79% boys; 63% White, 17% non-Hispanic Black, 10% Hispanic, and 10% other ethnicities). In a multisite study (recruitment based in New York, North Carolina, Pennsylvania, California, and Quebec), participants were originally enrolled between 1994 and 1998 at ages 7 to 9.9 and followed up through 2012 (Mage = 25 at final follow-up). Adolescents who eventually enrolled in PSE had less severe symptoms, but differences were modest and trajectories were similar over time. For all adolescents, standardized achievement trajectories declined up to two thirds of a standard deviation from ages 9 to 17. By the end of high school, the average GPA of adolescents with ADHD was three quarters of a point higher for those who eventually enrolled in PSE compared to those who did not. Overall, school performance mattered more than academic achievement for understanding eventual enrollment of adolescents with ADHD.

High Versus Low Intensity Summer Adolescent ADHD Treatment Effects on Internalizing, Social, and Self-Esteem Problems.

The current study aims to evaluate the effectiveness of a high-intensity (HI) versus a low-intensity (LI) skills-based summer intervention delivered to adolescents with ADHD by school staff in improving depressive symptoms, anxiety symptoms, social problems, and self-esteem. Participants were 325 ethnically diverse rising sixth and ninth graders with ADHD randomized to an HI versus an LI intervention (n = 218) or recruited into an untreated comparison group (n = 107). Group x time and group x grade x time one-year outcome trajectories were compared using linear mixed models. Across the transitional year (sixth or ninth grade), adolescents in the HI group were found to experience significantly greater decreases in depressive symptoms (p = .022, d = .25) compared to the LI group. There was no significant impact of the HI intervention (vs. LI) on anxiety symptoms (p = .070, d = .29), social problems (p = .054, d = .34), or self-esteem (p = .837, d = 0.21); however, secondary analyses of the non-randomized untreated comparison group indicated a significant effect of HI versus the untreated comparison group on social problems (p = .009, d = 43). These significant treatment effects suggest that comprehensive academic and organizational skills interventions for adolescents with ADHD may have a secondary impact of relieving adolescent depression for teens with this comorbidity. Given mixed evidence for the efficacy of the HI intervention on social skills, future work should further evaluate this effect.

Four-Year Follow-Up of High versus Low Intensity Summer Treatment for Adolescents with ADHD.

OBJECTIVE: Despite an emergence of psychosocial treatments for adolescent ADHD, their long-term effects are unknown. METHOD: We examine four-year outcomes of a randomized controlled trial (N = 218) comparing high-intensity (HI; 412 h, $4,373 per participant) versus low-intensity (LI; 24 h, $97 per participant) skills-based summer intervention delivered to adolescents with ADHD at two secondary school transitions (6th/9th grade). Quantitative and qualitative analyses evaluated group×time and group×grade×time effects on 4-year outcomes. RESULTS: Relative to LI, a single dose of HI had modest but lasting effects on teen organization skills (d =.40) and ADHD symptoms (9th grade only: d =.27 to.31) at 4-year follow-up. There was no long-term incremental effect of HI (vs. LI) for parent-teen conflict, GPA, or parent use of contingency management. Treatment appeared most effective when delivered to older adolescents (i.e., 9th versus 6th grade), suggesting the long-term impact of ADHD treatment may increase with age. Qualitative data corroborated that the primary long-term benefit of HI (vs. LI) treatment was to organization skills; many of the remaining perceived benefits were to parent and teen psychological variables (i.e., increased self-esteem, self-awareness, parental optimism). HI offered no incremental benefit to long-term educational or clinical service utilization or costs. CONCLUSIONS: Modest therapeutic benefits of adolescent ADHD treatment are maintained long term. However, HI treatment did not impact outcomes that could defray the intervention's high costs ($4,373) compared to LI treatment ($97).

Persistent attention-deficit/hyperactivity disorder predicts socially oriented, but not physical/physiologically oriented, alcohol problems in early adulthood.

BACKGROUND: Although individuals with histories of childhood attention-deficit/hyperactivity disorder (ADHD) report more alcohol-related problems in adulthood than those without ADHD, it is unknown whether there are group differences in certain types of alcohol problems. We tested whether the nature of alcohol problems differed for individuals with and without childhood ADHD, as well as adulthood-persistent ADHD, to facilitate a personalized medicine approach for alcohol problems in this high-risk group. METHODS: Data were drawn from a prospective, observational study. Children diagnosed with ADHD and demographically similar individuals without childhood ADHD were followed prospectively through young adulthood (N = 453; 87.6% male). ADHD symptom persistence was assessed using self-reports and parent reports. Alcohol problems and heavy drinking were assessed repeatedly from 18-30 years old to construct lifetime measures. RESULTS: Full-sample confirmatory factor analyses identified 5 alcohol problem "types:" interpersonal problems/risky behaviors, occupational/academic impairment, impaired control/treatment seeking, tolerance/withdrawal, and drinking to blackout. Latent class analyses of items within each type yielded the best fit for 3-class solutions for all sets of items except blackout drinking, for which 2 classes emerged. Children with ADHD were more likely than those without ADHD to belong to high-risk latent classes for interpersonal problems/risky behaviors, occupational/academic problems, and impaired control (the high-risk class that indexed treatment-seeking behavior). These effects were driven by individuals whose ADHD symptoms persisted into adulthood. Few group differences emerged for tolerance/withdrawal and blackout drinking, except that individuals with only childhood ADHD (no persistence) were more likely to belong to the low-risk groups than those with adulthood-persistent ADHD and without ADHD. CONCLUSIONS: Individuals with ADHD histories whose symptoms persist into adulthood may be more likely to experience socially oriented alcohol problems and impaired control/treatment seeking than individuals without an ADHD history and those with childhood ADHD only. Tailored alcohol prevention and treatment programs may benefit this high-risk population.

Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation.

Self-regulation is studied across various disciplines, including personality, social, cognitive, health, developmental, and clinical psychology; psychiatry; neuroscience; medicine; pharmacology; and economics. Widespread interest in self-regulation has led to confusion regarding both the constructs within the nomological network of self-regulation and the measures used to assess these constructs. To facilitate the integration of cross-disciplinary measures of self-regulation, we estimated product-moment and distance correlations among 60 cross-disciplinary measures of self-regulation (23 self-report surveys, 37 cognitive tasks) and measures of health and substance use based on 522 participants. The correlations showed substantial variability, though the surveys demonstrated greater convergent validity than did the cognitive tasks. Variables derived from the surveys only weakly correlated with variables derived from the cognitive tasks (M = .049, range = .000 to .271 for the absolute value of the product-moment correlation; M = .085, range = .028 to .241 for the distance correlation), thus challenging the notion that these surveys and cognitive tasks measure the same construct. We conclude by outlining several potential uses for this publicly available database of correlations.

A measure of functioning in adults With ADHD: Psychometric properties of the general life functioning scale-parent version.

OBJECTIVE: The General Life Functioning Scale (GLF) was developed to provide a complementary alternative to existing measures of impairment. We examined the psychometric properties of the GLF-Parent version (GLF-P), given the known value of informant ratings. METHODS: The GLF-P was administered to parents of adults with attention-deficit/hyperactivity disorder (ADHD) diagnosed in childhood and a nonADHD comparison group in the Pittsburgh ADHD Longitudinal Study. GLF-P ratings described 334 participants (ADHD = 186; comparison = 148) rated at age 25 (Mage = 24.80 years, SDage = 0.46, range = 24-26) and 401 participants (ADHD = 237; comparison = 164) rated at age 30 (Mage = 29.30, SDage = 0.64, range = 28-33). Exploratory (EFA) and confirmatory (CFA) factor analyses were used. RESULTS: EFAs suggested and CFAs confirmed a five-factor solution. We found measurement invariance across diagnostic and age groups, satisfactory internal consistency, construct validity, and known-group validity. CONCLUSION: Psychometric results suggest the GLF-P as a helpful adjunctive measure of functioning. Further research is needed to determine the utility of the GLF across diverse settings.

Beers with Peers: Childhood ADHD and Risk for Correlated Change in Perceived Peer and Personal Alcohol Use Across Young Adulthood.

BACKGROUND: ADHD poses risk for problematic alcohol use through adulthood. Perceived peer alcohol use, one of the strongest correlates of individuals' own alcohol use, is especially salient for adolescents with ADHD. The extent to which this risk extends into young adulthood is unknown, as well as how change in these constructs is associated throughout young adulthood. METHODS: In the Pittsburgh ADHD Longitudinal Study, 358 individuals with childhood-diagnosed ADHD and 239 without were prospectively followed from ages 18 to 29. Piecewise, bivariate longitudinal growth modeling was used to examine the change in both peer alcohol use and individuals' heavy drinking (binge-drinking frequency), their between-person associations, and differences by ADHD group. The addition of structured residuals probed within-person year-to-year change in peer and personal alcohol use and their prospective associations. RESULTS: Perceived peer alcohol use and individuals' heavy drinking frequencies changed together over time concurrently-from ages 18 to 21 (piece 1) and 21 to 29 (piece 2). Prospectively, individuals who increased the most in heavy drinking from ages 18 to 21 reported more friends using alcohol at age 29, regardless of ADHD history. Within-person increases in personal alcohol use likewise predicted increased perceived peer use the subsequent year within each age group (piece), regardless of ADHD history. However, while decreasing perceived peer use from ages 21 to 29 was related to more frequent heavy drinking at age 29 for those without ADHD, increasing perceived peer use from ages 18 to 21 predicted more frequent heavy drinking at age 29 for those with ADHD. CONCLUSIONS: Young adult heavy drinking changes in tandem with perceived peer alcohol use across individuals and predicts selection of alcohol-using peers from year to year within individuals, further into adulthood than previously documented. Findings suggest the centrality of relationships with alcohol-consuming friends in relation to one's heavy drinking, especially for young adults with ADHD histories, through the twenties.

Randomized Trial of First-Line Behavioral Intervention to Reduce Need for Medication in Children with ADHD.

A study conducted in an analogue summer treatment setting showed that when concurrently receiving behavioral intervention, many children with Attention-Deficit Hyperactivity Disorder (ADHD) did not need medication or maximized responsiveness at very low doses. The present study followed participants in that summer study into the subsequent school year to investigate whether the same pattern would extend to the natural school and home settings. There were 127 unmedicated children with ADHD between the ages of 5 and 13 who were randomly assigned to receive or not receive behavioral consultation (BC) at the start of the school year. Children were evaluated by teachers and parents each week to determine if central nervous system stimulant treatment was needed. Children who received BC were approximately half as likely those who did not (NoBC) to initiate medication use each week at school or home and used lower doses when medicated at school. This produced a 40% reduction in total methylphenidate exposure over the course of the school year. BC and NoBC groups did not significantly differ on end-of-year teacher or parent ratings of behavior, which were positive. Moreover, BC and NoBC groups did not significantly differ in cost of treatment; although children in the BC condition accrued additional costs via the BC, these costs were offset by the associated delay and reduction in medication use. Results add to a growing literature suggesting that the use of low-intensity behavioral intervention as a first-line treatment reduces or eliminates the need for medication in children with ADHD.

Functional Outcomes of Young Adults with Childhood ADHD: A Latent Profile Analysis.

Adults with childhood attention-deficit hyperactivity disorder (ADHD) experience impairment in core functional domains (e.g., educational attainment, occupational status, social relationships, substance abuse, and criminal behavior), but it is currently unclear which impairments co-occur and whether subgroups experience differentiable patterns, none, or all aforementioned functional domains. Latent profile analysis (LPA) was used to characterize patterns of impairment. Data from the Pittsburgh ADHD Longitudinal Study were used. The 317 participants were 25 years old and had childhood ADHD. LPA characterized the variability across substance use (alcohol consumption, cigarette smoking, marijuana use), criminal behavior, peer impairment, educational attainment, maternal relationship, financial dependence, and sexual activity among young adults with childhood ADHD. Childhood predictors of profiles were examined, and ADHD profiles were compared to a matched comparison group without ADHD also followed longitudinally (n = 217). Five profiles were found: prototypic impairment group (54%), high binge-drinking group (17%), high marijuana use group (10%), high criminal activity group (3%), and high cross-domain impairment group (17%). All profiles were impaired compared to non-ADHD young adults. Childhood variables rarely significantly predicted profiles. Young adults with childhood ADHD have differentiable impairment patterns that vary based on substance use, criminal behavior, and number of clinically impaired domains. Nearly all young adult ADHD profiles were impaired in peer, educational, and financial domains, and there was not a nonimpaired ADHD profile. Use of specific substances was elevated among subgroups of, but not all, young adults with ADHD histories. Finally, the high cross-domain impairment profile was impaired in all domains.

Effects of Behavioral Treatment Modified to Fit Children with Conduct Problems and Callous-Unemotional (CU) Traits.

Research suggests that children with conduct problems (CP) and callous-unemotional (CU) traits show a diminished response to behavior therapy, perhaps due to a reward-oriented, punishment insensitive learning style. Children with CP and CU may benefit from personalizing behavioral treatment for them by emphasizing rewards and de-emphasizing punishments. This hypothesis was tested in a sample of 46 children (78.3% boys), ages 7.0 to 12.6 years (M = 9.3, SD = 1.4). All participants met criteria for ODD and ADHD and 63% also met criteria for CD. Participants were oversampled for high CU, but CU scores ranged from average to high. Children received four weeks of modified behavior therapy that emphasized rewards and de-emphasized punishments and four weeks of treatment as usual, which was standard behavior therapy that balanced rewards and punishments. Treatments were implemented in a summer treatment program and compared using a within-subjects design, with order of treatment counterbalanced. Disruptive behavior was equal or slightly higher in modified behavior therapy than in standard behavior therapy on point system measures, but lower on parent weekly ratings. End of treatment ratings showed both treatments produced significant improvements compared to pre-treatment ratings but did not differ from each other. Personalizing behavior therapy for children with CP and CU produced inconsistent findings relative to standard behavior therapy. Behavior therapy is likely to be a necessary part of treatment for children with CP and CU, but treatment personalization efforts may provide some benefit by addressing other deficits shown by these children.

Can Machine Learning Improve Screening for Targeted Delinquency Prevention Programs?

The cost-effectiveness of targeted delinquency prevention programs for children depends on the accuracy of the screening process. Screening accuracy is often poor, resulting in wasted resources and missed opportunities to avert negative outcomes. This study examined whether screening approaches based on logistic regression or machine learning algorithms could improve accuracy relative to traditional sum-score approaches when identifying boys in the 5th grade (N = 1012) who would be repeatedly arrested for violent and serious crimes from ages 13 to 30. Screening algorithms were developed that incorporated facets of teacher-reported externalizing problems and other known risk factors (e.g., peer rejection). The predictive performance of these algorithms was evaluated and compared in holdout (i.e., test) data using the area under the receiver operating curve (AUROC) and Brier score. Both the logistic and machine learning methods yielded AUROC superior to traditional sum-score screening approaches when a broad set of risk factors for future delinquency was considered. However, this improvement was modest and was not present when using item-level information from a composite scale assessing externalizing problems. Contrary to expectations, machine learning algorithms performed no better than simple logistic models. There was a large apparent advantage of machine learning that disappeared after appropriate cross-validation, underscoring the importance of careful evaluation of these methods. Results suggest that screening using logistic regression could improve the cost-effectiveness of targeted delinquency prevention programs in some cases, but screening using machine learning would confer no marginal benefit under currently realistic conditions.

Supporting Strategic Investment in Social Programs: a Cost Analysis of the Family Check-Up.

High-quality evidence about the costs of effective interventions for children can provide a foundation for fiscally responsible policy capable of achieving impact. This study estimated the costs to society of the Family Check-up, an evidence-based brief home-visiting intervention for high-risk families implemented in the Early Steps multisite efficacy trial. Intervention arm families in three sites were offered 4 consecutive years of intervention, when target children were ages 2 through 5. Data for estimating total, average, and marginal costs and family burden (means and standard deviations, 2015 USD, discounted at 3% per year) came from a detailed database that prospectively documented resource use at the family level and a supplemental interview with trial leaders. Secondary analyses evaluated differences in costs among higher and lower risk families using repeated measures analysis of variance. Results indicated annual average costs of $1066 per family (SD = $400), with time spent by families valued at an additional $84 (SD = $99) on average. Costs declined significantly from ages 2 through 5. Once training and oversight patterns were established, additional families could be served at half the cost, $501 (SD = $404). On the margin, higher risk families cost more, $583 (SD = $444) compared to $463 (SD = $380) for lower risk families, but prior analyses showed they also benefited more. Sensitivity analyses indicated potential for wage-related cost savings in real-world implementation compared to the university-based trial. This study illustrates the dynamics of Family Check-up resource use over time and across families differing in risk.

Role of ADHD in the Co-Occurrence Between Heavy Alcohol Use and Depression Trajectories in Adulthood.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is associated with greater heavy alcohol use and depressive symptoms in adulthood. Yet, few studies have investigated whether childhood ADHD predicts an increased association between heavy drinking and depression in adulthood when this co-occurrence becomes more common. We examined associations among heavy alcohol use and depression longitudinally from ages 21 to 29 and whether these associations differed for those with or without childhood ADHD, as well as for those with or without persistent ADHD in adulthood. METHODS: Data were from the Pittsburgh ADHD Longitudinal Study, a prospective cohort of children diagnosed with ADHD and demographically similar individuals without ADHD histories. ADHD symptoms in adulthood were self- and parent reported; depressive symptoms and frequency of drinking 5 or more drinks in a single drinking occasion were self-reported and measured at 5 time-points from ages 21 to 29. Depression and alcohol use were modeled in a multiple-group, parallel process longitudinal growth model. RESULTS: The slopes of heavy alcohol use and depression were significantly and positively associated from ages 25 to 29 but not at the younger ages. Although the strength of these associations did not differ by group (with or without ADHD, childhood or adulthood), the slopes of depression and heavy drinking at the older ages were highly variable and individuals with ADHD showed significantly faster growth in depression from ages 25 to 29. CONCLUSIONS: Due to the strengthening association between heavy drinking and depression for adults in their late 20s, and increasing depression for adults with ADHD histories, individuals with ADHD may be at greater risk for co-occurring depression and binge drinking. Negative reinforcement-related alcohol use may strengthen as these individuals age toward the fourth decade of life. More rigorous testing of this possibility is warranted.

An Experimental Investigation of Antisocial Lie-Telling Among Children With Disruptive Behavior Disorders and Typically Developing Children.

Children's lie-telling is surprisingly understudied among children with significant behavioral problems. In the present study, experimental paradigms were used to examine antisocial lie-telling among ethnically diverse 5- to 10-year-old children with disruptive behavior disorders (DBD; n = 71) and a typically developing (TD) comparison sample (n = 50) recruited from a southeastern state from 2013 to 2014. Children completed two games that measured the prevalence and skill of their lies: (a) for personal gain and (b) to conceal wrongdoing. Children with DBD were more likely to lie for personal gain than TD children. With age, children were more likely to lie to conceal wrongdoing, but the reverse was true regarding lies for personal gain. Results advance knowledge concerning individual differences in children's lie-telling.