Search

Background: Children and adolescents demonstrate diverse patterns of symptom change and disorder remission following cognitive behavioural therapy (CBT) for anxiety disorders. To better understand children who respond sub‐optimally to CBT, this study investigated youths (N = 1,483) who continued to meet criteria for one or more clinical anxiety diagnosis immediately following treatment or at any point during the 12 months following treatment. Methods: Data were collected from 10 clinical sites with assessments at pre‐and post‐treatment and at least once more at 3, 6 or 12‐month follow‐up. Participants were assigned to one of three groups based on diagnostic status for youths who: (a) retained an anxiety diagnosis from post to end point (minimal responders); (b) remitted anxiety diagnoses at post but relapsed by end point (relapsed responders); and (c) retained a diagnosis at post but remitted to be diagnosis free at end point (delayed responders). Growth curve models assessed patterns of change over time for the three groups and examined predictors associated with these patterns including demographic, clinical and parental factors, as well as treatment factors. Results: Higher primary disorder severity, being older, having a greater number of anxiety disorders, having social anxiety disorder, as well as higher maternal psychopathology differentiated the minimal responders from the delayed and relapsed responders at the baseline. Results from the growth curve models showed that severity of the primary disorder and treatment modality differentiated patterns of linear change only. Higher severity was associated with significantly less improvement over time for the minimal and relapsed response groups, as was receiving group CBT, when compared to the delayed response group. Conclusions: Sub‐optimal response patterns can be partially differentiated using variables assessed at pre‐treatment. Increased understanding of different patterns of change following treatment may provide direction for clinical decision‐making and for tailoring treatments to specific groups of clinically anxious youth. Future research may benefit from assessing progress during treatment to detect emerging response patterns earlier. [ABSTRACT FROM AUTHOR]

The aim of this study was to examine the factor structure and psychometric properties of an observer-rated youth alliance measure, the Therapy Process Observational Coding System for Child Psychotherapy-Alliance scale (TPOCS-A). The sample was 52 youth diagnosed with anxiety disorders ("M" age = 12.43, "SD" = 2.23, range = 15; 56% boys; 98% Caucasian) drawn from a randomized controlled trial. Participants received a manualized individual cognitive behavioral treatment, the FRIENDS for life program, in public community clinics in Norway. Diagnostic status, treatment motivation, and perceived treatment credibility were assessed at pretreatment. Using the TPOCS-A, independent observers rated child-therapist alliance from the third therapy session. Child- and therapist-reported alliance measures were collected from the same session. An exploratory factor analysis supported a one-factor solution, which is consistent with previous studies of self- and observer-rated youth alliance scales. Psychometric analyses supported the interrater reliability, internal consistency, and convergent/divergent validity of the TPOCS-A. Accumulating psychometric evidence indicate that the TPOCS-A has the potential to fill a measurement gap in the youth psychotherapy field. In youth psychotherapy, alliance may be unidimensional, so establishing a strong bond and engaging the child in therapeutic activities may both be instrumental to establishing good alliance early in treatment. However, it is important to be cautious when interpreting the factor analytic findings, because the sample size may have been too small to identify additional factors. Future research can build upon these findings by examining the factor structure of youth alliance measures with larger, more diverse samples. (Contains 5 tables.)

Objective: To test Goodman's theoretical 5-factor model of the Strengths and Difficulties Questionnaire (SDQ) in an analysis of the Norwegian parent (P) and teacher (T) versions of the questionnaire. Method: The T-SDQ was analyzed for 8,999 (95.4% of all) children in primary school grades 2-4 in Bergen, Norway, whereas the P-SDQ was examined for 6,430 children (68.2%). Main analyses were exploratory and confirmatory factor analyses. Results: The analyses supported a modestly modified version of Goodman's 5-factor model for both the P-SDQ and the T-SDQ. The correlations between latent factors were high, particularly when the conduct problem factor was involved, reflecting a high level of overlap between the problem areas. Cross-informant correlation between parents and teachers was moderate to high for the problem subscales and considerably higher than the corresponding correlation between subscales that has been found in earlier studies. Conclusions: None of the alternative models derived from the exploratory factor analysis fitted the data better than a slightly modified version of Goodman's 5-factor model, which showed acceptable goodness of fit. (Contains 8 tables and 1 figure.)

Background: The use of similar standardised measures of psychopathology for population surveys permits cross-cultural comparisons. However, interpretation of findings can be challenging because rating thresholds may differ across cultures. By combining questionnaire and interview data, we explore whether lower questionnaire scores in Norway as compared to Britain reflect genuine differences in child mental health, or simply different reporting thresholds. Methods: Information from the Strengths and Difficulties Questionnaire (SDQ) and the Development and Well-Being Assessment (DAWBA) interview were compared across recent population surveys in Norway and Britain. The Norwegian study (2002-03) had questionnaire data for 6,658 and interview data for 1,024 8-10-year-old children. The British dataset included questionnaire and interview data for 4,898 children of the same age range from two independent surveys (1999 and 2004). Results: Norwegian children had lower SDQ scores on all problem scales (emotional, behavioural, hyperactive and peer relationship) according to parents as well as teachers. DAWBA information showed that the Norwegian prevalence of externalising disorders (behavioural and hyperactivity) was about half that found in Britain, whereas rates of emotional disorders were similar. Norwegian and British children with non-emotional disorders had similar questionnaire scores and rates of problem-recognition by parents and teachers. By contrast, questionnaire scores and problem-recognition were all lower in Norwegian children with emotional disorders. Conclusions: Lower Norwegian questionnaire scores for externalising problems appear to reflect real and substantial differences between the two countries. By contrast, lower questionnaire scores for emotional problems seem to reflect under-reporting/under-recognition by Norwegian adults, and not a genuinely lower prevalence of emotional disorders. This illustrates that cross-cultural differences in psychopathology based only on questionnaire data may be misleading. Nevertheless, careful use of questionnaire and interview data can focus mental health research on cross-cultural variations likely to reflect genuine health differences.

The impact of nonresponse on estimates of mental health problems was examined in a prospective teacher screen in a community survey of 9,155 7-9 year olds. For 6,611 of the children, parents consented to participation in the actual study (Responders), while for 2,544 children parental consent was not obtained (Nonresponders). The teacher screen involved assessment of a broad set of symptoms of mental health problems and functional impairment. Calculations of non-response coefficients, a function of effect sizes and non-response proportion, revealed only ignorable nonresponse bias for both mean scores and correlations. However, the results from binary logistic regressions revealed that children ascribed signs of mental health problems by their teachers were less likely to participate. This was most frequent among children with only moderate symptoms. However, it also involved children with high symptom scores related to inattention, hyperactivity, emotions and peer relationship problems. These findings suggest that measures based on effect size can underestimate the magnitude of non-response bias and that a logistic regression approach may be more appropriate for studies geared at estimating prevalence of mental health problems in children.

Objective: The Bergen Child Study is a longitudinal study of child mental health from the city of Bergen, Norway. We present methods and results from the first wave of the study, focusing on prevalence of disorders, associations with risk factors, and the use of services. Method: The target population included all 9,430 children attending grades 2 to 4 in Bergen schools during the academic year 2002/2003. The main screening instrument was the Strengths and Difficulties Questionnaire, whereas diagnoses were based on the Development and Well-Being Assessment. Information about child and family risk factors and service use was also obtained in this second stage. Results: In the first phase, the teacher Strengths and Difficulties Questionnaire was obtained for 9,155 (97%) of the target children and the matching parent Strengths and Difficulties Questionnaire for 6,297 (67%); 1,011 children (11%) were assessed with the Development and Well-Being Assessment in the second phase. The weighted prevalence for any DSM-IV psychiatric disorder was 7.0% (95% confidence interval 5.6%-8.5%). Disorders were associated with age, gender, learning difficulties, family type, and poverty. Although 75% of children with attention-deficit/hyperactivity disorder had been in contact with specialist mental health services, this was true for only 13% of those with pure emotional disorders. Conclusions: The overall prevalence of psychiatric disorders in children is relatively low in this Norwegian sample, when assessed with the Development and Well-Being Assessment. Children with emotional disorders have limited access to specialist services. (Contains 5 tables and 2 figures.)

A cue-target visual attention task was administered to 25 children (ages 10-12) with dyslexia. Results showed a general pattern of slower responses in the children with dyslexia compared to controls. Subjects also had longer reaction times in the short and long cue-target interval conditions (covert and overt shift of attention). (Contains references.) (Author/CR)