Journal of Clinical Child and Adolescent Psychology最新文献

Objective: The current study investigated sex differences in longitudinal associations among youth depression, conduct problems, and peer rejection from ages 11 to 16. We hypothesized that girls would follow the irritable depression model, which posits that depression leads to conduct problems, and that peer rejection would mediate this relationship. We hypothesized that boys would follow the cumulative failure model, which suggests that conduct problems predict future depression, mediated by peer rejection.

Method: We used integrative data analysis to combine three datasets, creating an aggregate sample of 2,322 adolescents, 58.4% of an ethnic minority group, and 51.3% boys. Using random-intercept cross-lagged panel modeling with data from ages 11-16, we conducted a nested model comparison.

Results: Results indicated that a model which allowed paths to differ by sex demonstrated better model fit than a constrained model. While depression, conduct problems, and peer rejection were relatively stable over time and had correlated random intercepts, there were few crossover paths between these domains for either sex. When the strengths of individual crossover pathways were compared based on sex, only the path from conduct problems at age 13 to depression at age 14 was significantly different, with this path being stronger for girls.

Conclusions: These results suggest that stable, between-person effects largely drive relationships between depression, conduct problems, and peer rejection during adolescence, whereas there are few transactional, within-person pathways between these domains. This pattern of findings demonstrates the utility of random intercept cross-lagged panel modeling for disentangling between- and within-person effects.

Objective: Although the significance of the general factor of psychopathology (p) is being increasingly recognized, it remains unclear how to best operationalize and measure p. To test variations in the operationalizations of p and make practical recommendations for its assessment, we compared p-factor scores derived from four models.

Methods: We compared p scores derived from principal axis (Model 1), hierarchical factor (Model 2), and bifactor (Model 3) analyses, plus a Total Problem score (sum of unit-weighted ratings of all problem items; Model 4) for parent- and self-rated youth psychopathology from 24 societies. Separately for each sample, we fitted the models to parent-ratings on the Child Behavior Checklist for Ages 6-18 (CBCL/6-18) and self-ratings on the Youth Self-Report (YSR) for 25,643 11-18-year-olds. Separately for each sample, we computed correlations between p-scores obtained for each pair of models, cross-informant correlations between p-scores for each model, and Q-correlations between mean item x p-score correlations for each pair of models.

Results: Results were similar for all models, as indicated by correlations of .973-.994 between p-scores for Models 1-4, plus similar cross-informant correlations between CBCL/6-18 and YSR Model 1-4 p-scores. Item x p correlations had similar rank orders between Models 1-4, as indicated by Q correlations of .957-.993.

Conclusions: The similar results obtained for Models 1-4 argue for using the simplest model - the unit-weighted Total Problem score - to measure p for clinical and research assessment of youth psychopathology. Practical methods for measuring p may advance the field toward transdiagnostic patterns of problems.

Objective: While Black adolescent girls use drugs at much lower rates than White and Hispanic girls, Black adolescent girls often have worse health outcomes due to drug use. This study seeks to highlight the voices of Black adolescent girls in order to understand their unique risk factors for substance use and misuse.

Methods: Utilizing the intersectionality and ecological systems theoretical frameworks, the research team conducted twelve focus groups among a sample of Black adolescent girls (N = 62) between the ages of 13-18 (M = 15.6 years SD = 1.50).

Results: Thematic analysis was conducted to analyze the participant narratives. Four main themes arose: 1) stereotypes of Black adolescent girls; 2) the role of the physical and social environment (feeling unsafe in neighborhoods where they reside); 3) using drugs as a coping mechanism; 4) input on prevention programming for girls with a sub-theme involving family as a protective factor.

Discussion: Study findings deepen our qualitative understanding of risk and protective factors for substance use among Black adolescent girls. These findings provide insight on girls' lived experiences for researchers and intervention development to create and implement substance abuse prevention programs that are race- and gender-specific for Black adolescent girls.

Despite advances in clinical science, the burden of mental health problems among youth is not improving. To tackle this burden, clinical science with youth needs methods that include youth and family perspectives on context and public health. In this paper, we illustrate how community-engaged research (CEnR) methods center these perspectives. Although CEnR methods are well-established in other disciplines (e.g. social work, community psychology), they are underutilized in clinical science with youth. This is due in part to misperceptions of CEnR as resource-intensive, overly contextualized, incompatible with experimentally controlled modes of inquiry, or irrelevant to understanding youth mental health. By contrast, CEnR methods can provide real-world impact, contextualized clinical solutions, and sustainable outcomes. A key advantage of CEnR strategies is their flexibility-they fall across a continuum that centers community engagement as a core principle, and thus can be infused in a variety of research efforts, even those that center experimental control (e.g. randomized controlled trials). This paper provides a brief overview of this continuum of strategies and its application to youth-focused clinical science. We then discuss future directions of CEnR in clinical science with youth, as well as structural changes needed to advance this work. The goals of this paper are to help demystify CEnR and encourage clinical scientists to consider adopting methods that better consider context and intentionally engage the communities that our work seeks to serve.

This is a commentary on Danielson and colleagues' report entitled "ADHD Prevalence Among U.S. Children and Adolescents in 2022: Diagnosis, Severity, Co-Occurring Disorders, and Treatment," which provides updated prevalence rates related to ADHD diagnosis and treatment utilization using data from the 2022 National Survey of Children's Health (NSCH). This timely article is among the first to report on ADHD prevalence rates since the COVID-19 pandemic, and highlights important patterns related to ADHD diagnosis and treatment utilization. In this commentary, we contextualize these findings with consideration to the COVID-19 pandemic and within the existing literature on health disparities among youth with ADHD and their families. We end with recommendations for future work involving researchers, clinicians, and policymakers with the intention of reducing disparities in ADHD diagnosis and treatment in the U.S.

Objective: We sought to explore if specific domains of emotion dysregulation (emotion regulation [EREG], emotional reactivity/lability [EREL], emotion recognition/understanding [ERU], and callous-unemotional [CU] behaviors) were uniquely associated with diagnostic classifications.

Method: This study utilized a multimodal (parent/teacher [P/T] reports and behavioral observations) approach to examine emotion dysregulation in a sample of young children (68.7% boys; mean age = 5.47, SD = 0.77, 81.4% Latinx) with attention-deficit/hyperactivity disorder (ADHD Only; n = 46), ADHD + disruptive behavior disorders (ADHD+DBD; n = 129), and typically developing (TD) children (n = 148).

Results: All three diagnostic groups were significantly different from one another on P/T reports of EREG, EREL and CU. For the ADHD+DBD group, P/T reported worse EREG and EREL, and higher mean scores of CU, compared to both ADHD Only and TD groups. The ADHD+DBD group also performed significantly worse than the TD group (but not the ADHD Only group) on observed measures of EREG, EREL and ERU. P/T reported EREG, EREL and CU for the ADHD Only group were significantly worse than the TD group. Using multinomial logistic regression, P/T reported EREG, EREL, and CU were significantly associated with diagnostic status above and beyond observed measures of emotion dysregulation. The model successfully classified children with ADHD+DBD (91.3%) and TD (95.9%); however, children in the ADHD Only group were correctly identified only 45.7% of time.

Conclusion: Our findings suggest that measures of emotion dysregulation may be particularly helpful in correctly identifying children with ADHD+DBD, but not necessarily children with ADHD Only.

Objective: To test whether adolescents' perceived ADHD symptoms may improve while monitoring them throughout the day.

Method: In a sample of 90 adolescents (M_age = 14.7; 66% boys, 34% girls; 76.7% White, 13.3% Black or African American, 8.9% more than one race, 1.1% "other") treated for ADHD by their pediatricians, this study examined: (1) whether self-rated ADHD symptoms decreased across 17 days of 4 times daily ecological momentary assessment (EMA) of symptoms and (2) whether completing versus missing an EMA survey was associated with lower self-rated ADHD symptoms in the subsequent hours.

Results: Multilevel regression analyses showed that, on average, adolescents' perceived ADHD symptoms (inattention, hyperactivity, impulsivity, and total across domains) decreased across 17 days of EMA. Within person, symptoms were lower following completed versus missed EMA surveys. Significant moderating effects showed that the effect of completing the prior EMA survey weakened across the day and over the course of the 17 days.

Conclusions: This study is the first to document acute improvements in self-rated ADHD symptoms using EMA in adolescents' naturalistic environments. Symptom monitoring throughout the day may help adolescents improve their day-to-day ADHD, at least acutely, and holds promise as one component of mobile-health ADHD interventions.

Objective: Social functioning can be defined according to three main components: social perception, social performance, and social knowledge. Although they are important in daily life relationships and in children's adaptation, these components have never been tested together in children and adolescents with Attention Deficit/Hyperactivity Disorder (ADHD) or with Autism Spectrum Disorder (ASD) using lab-based tasks. The present study used a cross-disorder approach to compare the performance of children with ADHD and ASD and non-diagnosed (ND) peers utilizing a task that involves these three fundamental social functioning components.

Methods: Two hundred and twenty-five Italian children (86% boys) aged between 8 and 16 (66 with a clinical diagnosis of ADHD; 51 with a clinical diagnosis of ASD, level 1; 108 ND children) were enrolled. The three groups were matched for age, gender, and IQ. Social functioning was assessed using a lab-based task, including videos of problematic interactions among peers, created ad hoc for the study, and a semi-structured interview based on the Social Information Processing model.

Results: Data were analyzed using one-way ANOVAs and multinomial mixed effects models. Our findings suggested that both groups with ADHD and ASD presented social functioning difficulties in comparison to ND children. However, a different pattern of performance emerged. Children with ADHD showed higher difficulties in social performance than those with ASD, whereas autistic children revealed more difficulties in social perception and in some aspects of social knowledge.

Conclusions: Our findings have important clinical implications for assessment, intervention, and differential diagnosis, and should encourage clinicians to investigate different aspects of social functioning and identify specific strengths and weaknesses in each social profile.

Objective: To provide updated national prevalence estimates of diagnosed attention-deficit/hyperactivity disorder (ADHD), ADHD severity, co-occurring disorders, and receipt of ADHD medication and behavioral treatment among U.S. children and adolescents by demographic and clinical subgroups using data from the 2022 National Survey of Children's Health (NSCH).

Method: This study used 2022 NSCH data to estimate the prevalence of ever diagnosed and current ADHD among U.S. children aged 3-17 years. Among children with current ADHD, ADHD severity, presence of current co-occurring disorders, and receipt of medication and behavioral treatment were estimated. Weighted estimates were calculated overall and for demographic and clinical subgroups (n = 45,169).

Results: Approximately 1 in 9 U.S. children have ever received an ADHD diagnosis (11.4%, 7.1 million children) and 10.5% (6.5 million) had current ADHD. Among children with current ADHD, 58.1% had moderate or severe ADHD, 77.9% had at least one co-occurring disorder, approximately half of children with current ADHD (53.6%) received ADHD medication, and 44.4% had received behavioral treatment for ADHD in the past year; nearly one third (30.1%) did not receive any ADHD-specific treatment.

Conclusions: Pediatric ADHD remains an ongoing and expanding public health concern, as approximately 1 million more children had ever received an ADHD diagnosis in 2022 than in 2016. Estimates from the 2022 NSCH provide information on pediatric ADHD during the last full year of the COVID-19 pandemic and can be used by policymakers, government agencies, health care systems, public health practitioners, and other partners to plan for needs of children with ADHD.

Objective: We evaluated the extent to which receiving the multi-component treatment of the Challenging Horizons Program (CHP) would lead to significant improvements in social functioning, as well as in inattention, internalizing symptoms, parent stress, and emotion dysregulation for high-school-aged adolescents with attention-deficit hyperactivity disorder (ADHD).

Method: Participants were 186 high-school-aged adolescents (74% White) with a diagnosis of ADHD who were randomly assigned to either CHP (n = 92; 80% boys; M age = 15.0; SD = 0.8) or Community Care (CC; n = 94; 78% boys; M age = 15.1; SD = 0.9) within each of 12 participating schools. Parent and adolescent reports of social functioning were the primary outcome measures. Secondary outcomes included ratings of symptoms of ADHD and related disorders, parent stress, and emotion regulation.

Results: Intent-to-treat analyses using hierarchical linear modeling revealed significant group-by-time interactions of medium magnitude (d range = .40 to .52) on parent-rated social skills. Significant group-by-time benefits were also identified for adolescent self-rated social skills as well as the secondary outcomes of parent-rated inattention symptoms, emotion regulation, and parenting stress.

Discussion: CHP appears to benefit social skills along with related characteristics for adolescents with ADHD. Understanding these unique findings for this population informs additional research related to treatment mechanisms and effectiveness trials.