P.7.b. Child and adolescent disorders and treatment − Disorders (clinical) S711

early changes in leptin were the only predictor of changes in BMIZ-scores in pediatric patients (F = 14.34, p< 0.001; r2 = 0.45).

Conclusions: Early changes in leptin seem to be a goodpredictor of weight gain after six months of treatment with SGAsboth in adult and pediatric patients, and could help to early identifypatients at higher risk of developing clinically significant weightgain in the long term. In adults, patients with lower BMI atbaseline should also be subject to closer monitoring.

References

[1] Correll CU, Manu P, Olshanskiy V, Napolitano B, Kane JM, Mal-hotra AK. Cardiometabolic risk of second-generation antipsychoticmedications during first-time use in children and adolescents. JAMA.2009 Oct 28; 302(16): 1765−73.

[2] Leucht S, Cipriani A, Spineli L, Mavridis D, Orey D, Richter F, et al.Comparative efficacy and tolerability of 15 antipsychotic drugs inschizophrenia: a multiple-treatments meta-analysis. Lancet. 2013 Sep14; 382(9896): 951−62.

P.7.b.010 Symptom dimensions in the offspring of

parents with bipolar disorder

M.G. Moron-Nozaleda1 °, C.M. Dıaz-Caneja1, E. Rodrıguez-Toscano1, J. Castro-Fornieles2, E. De la Serna2, V. Sanchez2,S. Romero2, C. Moreno1, D. Moreno1 1Hospital GeneralUniversitario Gregorio Maranon, Child and AdolescentPsychiatry, Madrid, Spain; 2Hospital Clınic de Barcelona,Child and Adolescent Psychiatry, Barcelona, Spain

Purpose of the study: There is evidence that offspring of parentswith bipolar disorder (BP) are at increased risk of developinga mental illness themselves [1]. High-risk studies are essentialto identify early markers of BP disorder and to establish earlyintervention strategies [2]. Nevertheless, few studies have ex-plored dimensional psychopathology as prodromal manifestationsof mood or other disorders in the BP offspring. Studies innon-psychiatrically ill offspring of parents with BP disorder arewarranted to evaluate dimensional profiles that can predict thosewho are at higher risk of developing mental illness [3].In this study we aim: (1) To investigate rates of psychopathology

in the offspring of parents with bipolar disorder; (2) To exploresymptom dimensions in bipolar offspring without current psychi-atric diagnosis; (3) To study gender and age dimensional profiles.

Methods: 90 offspring, aged between 6 and 17 years old, of55 parents with bipolar disorder (BP-offspring) and 107 offspringof 65 healthy control parents (HC-offspring) were evaluated. Off-spring diagnoses were determined using the Spanish version of theSchedule for Affective Disorders and Schizophrenia for School-Age Children − Present and Lifetime version (K-SADS-PL).Children’s psychopathology was assessed using the HamiltonDepression Rating Scale (HDRS), the Young Mania Rating Scale(YMRS), the Scale of Prodromal Symptoms (SOPS) and theStrengths and Difficulties Questionnaire (SDQ). The Children’sGlobal Assessment Scale (C-GAS) was used to assess psychoso-cial functioning. Chi-square statistics with Yates’ correction andFisher’s exact text were used to compare percentages of discretevariables. Sex- and age-adjusted Z-scores were calculated for allclinical scales and differential rates of psychopathology in BP- andHC-offspring were calculated by using t-test or Mann–Whitney Utests as appropriate. In a second set of analyses, we excludedthose children who already had a psychiatric diagnosis. Betweenthese healthy BP- and HC-offspring, we compared differential psy-chopathology profiles, including differential analyses by genderand age group (children vs adolescents), using appropriate tests.

Summary of results: BP-offspring presented higher prevalenceof any Axis I disorder (p = 0.003), any mood disorder (p = 0.03),and ADHD (p = 0.009) than HC-offspring, and a significantlylower psychosocial adjustment (p = 0.007). After excluding chil-dren who currently presented with a disorder, BP-offspring hadsignificantly higher scores in the HDRS (p = 0.035) and the emo-tional scale of the SDQ (p = 0.010), and lower in the prosocialprofile (p = 0.026) than HC-offspring. In the sample of the BP-offspring without psychiatric illness, analyses by gender showedthat girls had significantly higher scores in the HDRS (p = 0.011)while boys scored higher in the total SOPS scale (p = 0.028), inparticular in the positive and disorganized subscales (p< 0.001).Exploring differences by age group, children under 12 had lowerscores in the prosocial scale of the SDQ (p = 0.007) and higherin the disorganized subscale of the SOPS (p = 0.003) as comparedwith adolescents.

Conclusions: Even if absence of any Axis I disorder, offspringof parents with bipolar disorder show a different dimensionalprofile in clinical scales than the offspring of control parents.Gender and age groups seem to influence clinical presentation.

References

[1] Rasic, D., et al., Risk of mental illness in offspring of parents withschizophrenia, bipolar disorder, and major depressive disorder: a meta-analysis of family high-risk studies. Schizophr Bull, 2014. 40(1): p.28−38.

[2] Singh, M.K., et al., Psychopathology in children of bipolar parents.J Affect Disord, 2007. 102(1−3): p. 131−6.

[3] Diler, R.S., et al., Dimensional psychopathology in offspring of parentswith bipolar disorder. Bipolar Disord, 2011. 13(7−8): p. 670−8.

P.7.b.011 Validation of the Weiss Functional

Impairment Rating Scale − Parent Report

Form in attention deficit/hyperactivity

disorder

K. Gajria1 °, E. Livote2, V. Sikirica1, K. Reilly2, M. Kosinski2,M.H. Erder1 1Shire, Global Health Economics OutcomesResearch and Epidemiology, Wayne, USA; 2QualityMetricIncorporated, Medical Department, Lincoln, USA

Purpose: The Weiss Functional Impairment Rating Scale − ParentReport Form (WFIRS-P) is a parent-reported questionnaire devel-oped to assess functional impairment associated with attentiondeficit/hyperactivity disorder (ADHD). Despite widespread use ofWFIRS-P, publication of its psychometric properties has been lim-ited. This study assessed the reliability, validity and responsivenessof WFIRS-P in children and adolescents with ADHD aged 6−17years.

Methods: Study data came from seven randomized, controlledclinical studies designed to evaluate the safety and efficacy ofADHD treatment. Baseline and follow-up visits of each trialwere pooled. The conceptual framework of the item-to-scalerelationships was evaluated using confirmatory factor analyses(CFA) appropriate for categorical level data. Reliability of eachdomain was assessed using internal consistency (Cronbach’s al-pha) and test-retest (intra-class correlation) methods. Criterionmeasures used to assess validity included the ADHD RatingScale (ADHD-RS) and the Clinician Global Impressions-Severity(CGI-S) rating. Correlations were computed between WFIRS-Pdomains and the ADHD-RS and CGI-S. In addition, a known-groups validation test was conducted by statistically comparingmean WFIRS-P domain scores across severity categories of theCGI-S using analysis of variance (ANOVA). The responsiveness