Background: Previous cross-sectional data showed that children and adolescents with attention-deficit hyperactivity disorder (ADHD) are at increased risk of comorbid conduct, mood, and anxiety disorders as well as impairments in cognitive, social, family, and school functioning. However, longitudinal data were needed to confirm these initial impressions. Methods: Using DSM-III-R structured diagnostic interviews and raters blinded as to diagnosis, we reexamined psychiatric diagnoses at 1- and 4-year follow-ups in children with ADHD and controls. In addition, subjects were evaluated for cognitive, achievement, social, school, and family functioning. Results: Analyses of follow-up findings revealed significant differences between children with ADHD and controls in rates of behavioral, mood, and anxiety disorders, with these disorders increasing markedly from baseline to follow-up assessments. In addition, children with ADHD had significantly more impaired cognitive, family, school, and psychosocial functioning than did controls. Baseline diagnosis of conduct disorder predicted conduct disorder and substance use disorders at follow-up, major depression at baseline predicted major depression and bipolar disorder at follow-up, and anxiety disorders at baseline predicted anxiety disorders at follow-up. Conclusions: These results confirm and extend previous retrospective results indicating that children with ADHD are at high risk of developing a wide range of impairments affecting multiple domains of psychopathology such as cognition, interpersonal, school, and family functioning. These findings provide further support for the value of considering psychiatric comorbidity in both clinical assessment and research protocols involving children with ADHD.

Background: This study investigated whether familyenvironment risk factors are associated with attentiondeficit hyperactivity disorder (ADHD). Compelling work by Rutter and coworkers revealed that it was the aggregate of adversity factors (severe marital discord, low social class, large family size, paternal criminality, maternal mental disorder, and foster care placement) rather than the presence of any single factor that led to impaired development. Based on the work of Rutter, we hypothesized a positive association between indicators of adversity and the diagnosis of ADHD and ADHD-associated impairments. Methods: We studied 140 ADHD and 120 normal control probands. Subjects were non-Hispanic white boys between the ages of 6 and 17 years. Rutter's indicators of adversity were used to predict ADHD-related psychopathology as well as impaired cognitive and psychosocial functioning. Results: The odds ratio for the diagnosis of ADHD increased as the number of Rutter's adversity indicators increased. Higher scores on Rutter's adversity index predicted ADHD-related psychopathology (depression, anxiety, and conduct disorder), learning disabilities, cognitive impairment, and psychosocial dysfunction. Conclusions: A positive association appears to exist between adversity indicators and the risk for ADHD as well as for its associated psychiatric, cognitive, and psychosocial impairments. These findings support the work of Rutter and stress the importance of adverse family-environment variables as risk factors for children with ADHD.

The Functional Disability Inventory (FDI) is a well-established and commonly used measure of physical functioning and disability in youth with chronic pain. Further validation of the measure has been called for, in particular, examination of the clinical utility and factor structure of the measure. To address this need, we utilized a large multicenter dataset of pediatric patients with chronic pain who had completed the FDI and other measures assessing pain and emotional functioning. Clinical reference points to allow for interpretation of raw scores were developed to enhance clinical utility of the measure, and exploratory factor analysis was performed to examine its factor structure. Participants included 1300 youth ages 8 to 18 years (mean=14.2 years; 76% female) with chronic pain. Examination of the distribution of FDI scores and validation with measures of depressive symptoms and pain intensity yielded 3 distinct categories of disability: No/Minimal Disability, Moderate Disability, and Severe Disability. Factor analysis of FDI scores revealed a 2-factor solution representing vigorous Physical Activities and non-physically strenuous Daily Activities. The 3-level classification system and factor structure were further explored via comparison across the 4 most commonly encountered pain conditions in clinical settings (head, back, abdominal, and widespread pain). Our findings provide important new information regarding the clinical utility and validity of the FDI. This will greatly enhance the interpretability of scores for research and clinical use in a wide range of pediatric pain conditions. In particular, these findings will facilitate use of the FDI as an outcome measure in future clinical trials.