Journal of Clinical Child and Adolescent Psychology最新文献

Objective: The coronavirus pandemic drastically increased social isolation. Autistic youth already experience elevated social isolation and loneliness, making them highly vulnerable to the impact of the pandemic. We examined trajectories of social disruption and loneliness in autistic and non-autistic youth during a six-month period of the pandemic (June 2020 until November 2020).

Method: Participants were 76 youth, ages 8 through 17, (M_age = 12.82, N_autistic = 51) with an IQ ≥ 70. Youth completed a biweekly measure of loneliness (Revised UCLA Loneliness Scale) and their parent completed a measure of pandemic-related family social disruption (Epidemic Pandemic Impacts Inventory).

Results: There were no time trends in loneliness across all youth, however, social disruption displayed linear, quadratic, and cubic trends. Non-autistic youth reported relatively greater declines in social disruption compared to autistic youth. Additionally, autistic youth reported relatively greater declines in loneliness relative to non-autistic youth. Greater social disruption was associated with higher loneliness, however, autistic youth demonstrated a relatively stronger relationship between social disruption and loneliness compared to non-autistic youth.

Conclusions: The current study was one of the first to investigate social disruption and loneliness in autistic youth during the COVID-19 pandemic. Results indicated that autistic youth experienced relative decreases in loneliness during this time, perhaps due to reductions in social demands. Nonetheless, when autistic youth did experience social disruption, they reported relatively higher levels of loneliness. This work contributes to our understanding of risk factors for loneliness and highlights the need to understand the benefits, as well as the challenges, to remote schooling and social interactions.

Objective: The identification of a common set of symptoms for assessing cognitive disengagement syndrome (CDS, formerly sluggish cognitive tempo) for early childhood (ages 5-8), middle childhood (ages 9-12), and adolescence (ages 13-16) is needed to advance research on the developmental psychopathology of CDS (i.e. a common symptom set with comparable internal and external validity for each age group).

Method: Parents of a nationally representative sample of 5,525 Spanish children and adolescents (ages 5 to 16, 56.1% boys) completed measures of CDS, attention-deficit/hyperactivity disorder-inattention (ADHD-IN), and other measures.

Results: First, the 15 CDS symptoms showed convergent and discriminant validity relative to the ADHD-IN symptoms within each age group. Second, CDS showed stronger first-order and unique associations than ADHD-IN with anxiety, depression, somatization, daytime sleep-related impairment, and nighttime sleep disturbance, whereas ADHD-IN showed stronger first-order and unique associations than CDS with ADHD-hyperactivity/impulsivity, oppositional defiant disorder, and academic impairment. Third, CDS showed stronger first-order and unique associations than ADHD-IN with a history of having an anxiety, depression, or bipolar disorder diagnosis, whereas ADHD-IN showed stronger first-order and unique associations with having an ADHD diagnosis.

Conclusions: The identification of a common set of CDS symptoms spanning early childhood to adolescence allows for the advancement of research on CDS, with a particular need now for longitudinal studies and examination of CDS with other functional outcomes and across other cultural contexts.

Objective: Rural teens are less likely to access care for depression than urban teens. Evidence-based digital single-session interventions (SSIs), offered via social media advertisements, may be well suited to narrowing this gap in treatment access and increasing access to support for adolescents living in rural areas. We evaluated the viability of using social media-based advertisements to equitably recruit adolescents living in rural areas with elevated depression symptoms to digital SSIs; we sought to characterize and assess whether SSI completion rates and acceptability differed for adolescents living in rural versus more urban areas, across three intervention conditions (two active, evidence-based SSIs; one placebo control); and we tested whether digital SSIs differentially reduced depressive symptoms.

Method: We used pre-intervention and three-month follow up data from 13- to 16-year-old adolescents (N = 2,322; 88% female; 55% non-Hispanic White) within a web-based randomized control trial of three free, digital SSIs (ClinicalTrials.gov identifier: NCT04634903) collected eight months into the COVID-19 pandemic in the United States.

Results: Digital SSIs reached adolescents at population-congruent rates; however, social media ads resulted in relative underrepresentation of youths from rural areas who hold minoritized racial/ethnic identities. Adolescents living in rural areas also completed digital SSIs at similar rates to their urban peers, found SSIs equivalently as acceptable, and reported comparable depression symptom reductions as youth living in urban areas.

Conclusion: Digital SSIs and their dissemination through social media may offer a promising means of narrowing the gap between access to evidence-based mental health support between adolescents living in rural and urban areas; however, targeted efforts are warranted to reach racially minoritized youths in rural U.S. counties.

Objective: Ample evidence demonstrates that structural stigma - defined as societal-level conditions, cultural norms, and institutional policies and practices that constrain opportunities, resources, and well-being of stigmatized populations - is associated with psychopathology in adults from marginalized groups. Yet there is limited research on whether structural stigma is similarly associated with internalizing and externalizing symptoms among youth.

Method: Structural stigma related to sex, sexual orientation, race, and Latinx ethnicity was measured using indicators of state-level policy and aggregated attitudes. Using data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 10,414; M age = 12 years, SD = 0.66; 48% female, 6.8% lesbian, gay, and bisexual (LGB), 13.4% Black, 20% Latinx), we examined associations of structural stigma with internalizing and externalizing symptoms among female, LGB, Black, and Latinx youth.

Results: LGB youth living in higher (vs. lower) structural stigma states had elevated levels of internalizing and externalizing symptoms. In lower structural stigma states, there were no differences in externalizing symptoms between LGB and heterosexual youth. Similarly, Latinx youth and females living in higher (vs. lower) structural stigma states had elevated levels of externalizing symptoms. In lower structural stigma states, there were no differences in externalizing symptoms between Latinx youth and non-Latinx White youth. Structural stigma related to race was unrelated to internalizing or externalizing symptoms for Black youth.

Conclusions: This study provides novel evidence that macro-level social environments, in the form of structural stigma, contribute to adverse mental health outcomes for marginalized youth and partly explain disparities in externalizing symptoms.

Objective: Effectiveness trials aim to increase the generalizability and public health impact of interventions. However, challenges associated with this design present threats to external and internal validity. This paper illustrates these challenges using data from a two-site randomized effectiveness trial, the Community Study of Outcome Monitoring for Emotional Disorders in Teens (COMET) and presents recommendations for future research.

Method: COMET was a randomized effectiveness trial conducted in 19 community mental health clinics in two states comparing three interventions: treatment as usual (TAU), TAU with measurement-based care (TAU+), and the Unified Protocol forTransdiagnostic Treatment of Emotional Disorders in Adolescents with MBC (UPA). Participants included 176 clinicians (mean age = 35.5; 85.8% cisgender female; 53.0% racially and/or ethnically minorized) and 196 adolescents (mean age = 14.7; 65.3% cisgender female; 69.4% racially and/or ethnically minorized). Analyses outlined participant flow from recruitment to study completion, described participant characteristics, and examined site differences.

Results: Analysis of participant flow suggested that recruitment and retention of clinicians and adolescents was challenging, raising questions about whether participants were representative of participating clinics. Both the clinician and adolescent samples were racially and ethnically diverse and adolescents were low income and clinically complex. Significant site differences were observed in clinician and adolescent characteristics.

Conclusions: While this study was successful in recruiting a diverse and historically under-represented sample, difficulties in recruitment and retention raise questions about external validity and site differences present challenges to internal validity of study findings. Suggestions for future effectiveness studies, drawing from implementation science approaches, are discussed.

Objective: To identify barriers to behavior therapy for adolescent ADHD (Supporting Teens' Autonomy Daily; STAND) and understand the relationship between barriers and treatment engagement.

Method: A mixed-method design with qualitative coding of 822 audio-recorded therapy sessions attended by 121 adolescents with ADHD (ages 11-16; 72.7% male, 77.7% Latinx, 7.4% African-American, 11.6% White, non-Latinx) and parents. Grounded theory methodology identified barriers articulated by parents and adolescents in session. Barriers were sorted by subtype (cognitive/attitudinal, behavioral, logistical) and subject (parent, teen, dyad). Frequency and variety of barriers were calculated by treatment phase (engagement, skills, planning). Generalized linear models and generalized estimating equations examined between-phase differences in frequency of each barrier and relationships between barriers frequency, subtype, subject, and phase on engagement (attendance and homework completion).

Results: Coding revealed twenty-five engagement barriers (ten cognitive/attitudinal, eleven behavioral, four logistical). Common barriers were: low adolescent desire (72.5%), parent failure to monitor skill application (69.4%), adolescent forgetfulness (60.3%), and adolescent belief that no change is needed (56.2%). Barriers were most commonly cognitive/attitudinal, teen-related, and occurring in STAND's planning phase. Poorer engagement was associated with cognitive/attitudinal, engagement phase, and dyadic barriers. Higher engagement in treatment was predicted by more frequent behavioral, logistical, parent, and skills/planning phase barriers.

Conclusions: Baseline assessment of barriers may promote individualized engagement strategies for adolescent ADHD treatment. Cognitive/attitudinal barriers should be targeted at treatment outset using evidence-based engagement strategies (e.g., Motivational Interviewing). Behavioral and logistical barriers should be addressed when planning and reviewing application of skills.

Objective: Pragmatic procedures for sustaining high-fidelity delivery of evidence-based interventions are needed to support implementation in usual care. This study tested an online therapist training system, featuring observational coder training and self-report fidelity feedback, to promote self-report acumen and routine use of family therapy (FT) techniques for adolescent behavior problems.

Method: Therapists (N = 84) from nine substance use and mental health treatment sites reported on 185 adolescent clients. Therapists submitted baseline data on FT technique use with clients, completed a workshop introducing the 32-week training system, and were randomly assigned by site to Core Training versus Core Training + Consultation. Core Training included a therapist coder training course (didactic instruction and mock session coding exercises in 13 FT techniques) and fidelity feedback procedures depicting therapist-report data on FT use. Consultation convened therapists and supervisors for one-hour monthly sessions with an external FT expert. During the 32 weeks of training, therapists submitted self-report data on FT use along with companion session audiotapes subsequently coded by observational raters.

Results: Therapist self-report reliability and accuracy both increased substantially during training. Observers reported no increase over time in FT use; therapists self-reported a decrease in FT use, likely an artifact of their improved self-report accuracy. Consultation did not enhance therapist self-report acumen or increase FT use.

Conclusions: Online training methods that improve therapist-report reliability and accuracy for FT use may confer important advantages for treatment planning and fidelity monitoring. More intensive and/or different training interventions appear needed to increase routine FT delivery.

Objective: Cognitive-behavioral therapy (CBT) is an effective treatment for anxiety in youth with autism spectrum disorder (ASD). However, research has yet to examine what cognitive characteristics may influence treatment response. The current study investigated decision-making ability and social cognition as potential (a) predictors of differential treatment response to two versions of CBT and (b) moderators of the effect of treatment condition.

Method: The study included 148 children (mean age = 9.8 years) with interfering anxiety and a diagnosis of ASD who were enrolled in a randomized clinical trial comparing two versions of CBT for anxiety (standard and adapted for ASD). Participants completed pretreatment measures of decision-making ability (adapted Iowa Gambling Task) and social cognition (Strange Stories) and analyses tested whether task performance predicted treatment response across and between (moderation) treatment conditions.

Results: Our findings indicate that decision-making ability moderated treatment outcomes in youth with ASD and anxiety, with a better decision-making performance being associated with higher post-treatment anxiety scores for those who received standard, not adapted, CBT.

Conclusions: Children with ASD and anxiety who are more sensitive to reward contingencies and reinforcement may benefit more from adapted CBT approaches that work more explicitly with reward.

Mental health disparities in transgender and gender diverse (TGD) youth are well-documented. These disparities are often studied in the context of minority stress theory, and most of this research focuses on experiences of trauma and discrimination TGD youth experience after coming out. However, TGD youth may be targets of violence and victimization due to perceived gender nonconformity before coming out. In this Future Directions, we integrate research on attachment, developmental trauma, and effects of racism and homophobia on mental health to propose a social-affective developmental framework for TGD youth. We provide a clinical vignette to highlight limitations in current approaches to mental health assessment in TGD youth and to illustrate how using a social-affective developmental framework can improve clinical assessment and treatment approaches and deepen our understanding of mental health disparities in TGD people.