Journal of Clinical Child and Adolescent Psychology最新文献

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: 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: This mixed-methods study examined teachers' perceptions of student anxiety in urban elementary schools serving predominantly low-income and ethnically/racially minoritized youth.

Method: Most participating teachers were female (87.7%) and from minoritized backgrounds themselves (89.2%), teaching in schools serving predominantly Black/African American (40%) or Hispanic (60%) students, and in which > 70% of students are eligible for free meals. Teachers were asked in surveys (N = 82) and interviews (n = 12) about the nature of student anxiety, and cultural/contextual considerations that influence anxiety.

Results: Overall, teachers reported prevalence and signs of student anxiety that were consistent with the literature, but they reported higher levels of impairment than in previous community samples. Regressions revealed that greater levels of student exposure to community violence and higher proportions of Black students were associated with higher teacher-perceived prevalence and concern about student anxiety, respectively. Moreover, greater emotional exhaustion in teachers was associated with higher reports of anxiety-related impairment in students. Thematic coding of interviews emphasized how teachers perceived 1) most student anxieties to be proportional responses to realistic threats and stress in students' lives (e.g. resource insecurity), 2) systems-level problems (e.g. pressure to perform on standardized tests) contribute to student anxiety, and 3) school-based anxiety sources often interact with traumas and stressors students experience outside of school (e.g. immigration experiences).

Conclusions: Relative to the predominant literature that has focused on biological, cognitive, and other intraindividual factors as sources of anxiety, the present work underscores the importance of considering how broader economic and systems-level influences exacerbate anxiety in marginalized youth.

Objective: Regularly administering outcome measures, measurement-based care (MBC), informs clinical decision-making and improves youth mental health. Understanding predictors of high-fidelity MBC delivery helps ensure all youth can benefit from this evidence-based practice. Research on client and clinician predictors of MBC fidelity has mixed findings.

Method: Participants included 53 clinicians and 115 adolescents from a randomized controlled effectiveness trial with MBC only and MBC + Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders in Adolescents (UPA) conditions. Clients and clinicians reported demographic information. Clinicians completed broad- and narrow-band attitude measures. MBC fidelity was operationalized using the implementation index, combining rates of administering and viewing questionnaires, using objective MBC data.

Results and discussion: The average MBC fidelity was 56.75% (SD = 30.36) and was significantly higher in the MBC only condition (M = 67.46%, SD = 27.63%) than in MBC + UPA condition (M = 46.58%, SD = 29.52%; p = .012). Clients identifying as White received significantly higher MBC fidelity than youth not identifying as White. Youth ethnicity, family income, age, severity, and number of sessions did not significantly predict MBC fidelity. Clinicians with less experience at their agency, less confidence, and who found manualized treatments less appealing, had significantly higher MBC fidelity than other clinicians. These results can inform future efforts to increase fidelity and equity in MBC delivery.

Objective: The aim of this study was to investigate age group, gender, and baseline depressive symptom severity as possible effect moderators in (1) cognitive versus behavioral based CBT-modules and (2) sequences of modules that started either with cognitive or behavioral modules in indicated depression prevention in adolescents.

Method: We conducted a pragmatic cluster-randomized trial under four parallel conditions. Each condition consisted of four CBT-modules of three sessions (cognitive restructuring, problem solving, behavioral activation, relaxation), but the sequencing of modules differed. The CBT-modules and sequences were clustered into more cognitive versus more behavioral based approaches. The sample involved 282 Dutch adolescents with elevated depressive symptoms (Mage = 13.8; 55.7% girls, 92.9% Dutch). Assessments were conducted at baseline, after three sessions, at post-intervention and 6-month follow-up with self-reported depressive symptoms as the primary outcome.

Results: We found no evidence for substantial moderation effects. Age group, gender, and depressive symptom severity level at baseline did not moderate the effects of cognitive versus behavioral modules after three sessions. No evidence was also found that these characteristics moderated the effectiveness of sequences of modules that started either with cognitive or behavioral modules at post-intervention and 6-month follow-up.

Conclusion: Cognitive and behavioral based modules and sequences in the prevention of depression in adolescents might apply to a relatively wide range of adolescents in terms of age group, gender, and severity levels of depressive symptoms.Abbreviation: CDI-2:F: Children's Depression Inventory-2 Full-length version; CDI-2:S: Children's Depression Inventory-2 Short version; STARr: Solve, Think, Act, Relax, and repeat.

Objective: To examine the associations between sociodemographic characteristics, perceived barriers to treatment, clinical impairment, and youth treatment engagement.

Method: Participants included 196 families (youth: ages 12 to 18; 64.3% cis-gender female; 23.5% Black, 60.7% White, and 12.2% Mixed/Other race; 41.3% Hispanic or Latinx ethnicity) recruited as part of a comparative effectiveness trial for adolescent anxiety and depression. Self-report measures of sociodemographic characteristics and caregiver perceived barriers were completed at intake. Youth clinical impairment was assessed at baseline via clinical interview. Measures of engagement were collected throughout treatment, including initiation status, session attendance, and termination status. Relationships were examined using analyses of variances and hierarchal linear and logistic modeling.

Results: Perceived barriers did not differ by sociodemographic characteristics. Greater perceived stressors and obstacles predicted fewer sessions attended and a lower likelihood of successful termination. Youth of caregivers with an advanced degree and those with caregivers who were employed part time attended more sessions and were more likely to initiate and terminate treatment successfully compared to youth with caregivers of a lower education level or student or unemployed status. At higher levels of youth clinical impairment, greater perceived treatment demands and issues predicted reduced likelihood of treatment initiation.

Conclusions: Perceived barriers, sociodemographic characteristics, and clinical impairment were all associated with levels of engagement in the treatment process. Baseline and continued assessment of perceived and experienced barriers to treatment may promote individualized strategies for families identified as at-risk for reduced engagement.