Use of Multiple Informants to Identify Children at High Risk for ADHD in Turkish School-Age Children.

OBJECTIVE: To examine the distribution of parent- and teacher-rated ADHD symptoms in a Turkish community sample to identify children at high risk for ADHD and to explore the psychosocial correlates of these high-risk children. METHOD: An 18-item SNAP-IV (Swanson, Nolan, and Pelham) and a three-item impairment scale were completed by parents and teachers on 3,110 children between 7 and 14 years of age from three public schools in Istanbul. RESULTS: Using various case definitions for ADHD, we observed a range of prevalence estimates based on parent (2.7%-9.6%) and teacher (2%-10.1%) reports. Teacher-identified ADHD was associated with low family income and low parental education; parent-identified ADHD was associated with perceived need for mental health treatment. CONCLUSION: Statistically driven threshold on a symptom scale may overestimate the rate of high-risk children. Relying on one informant is likely to miss some children at high risk. As in clinical practice, therefore, data from multiple informants and evidence of impairment are essential for identifying ADHD.

A nationwide study of social-emotional problems in young children in Turkey.

We aimed to assess the prevalence of social-emotional problems of Turkish children in early childhood and to understand their association with various bio-psycho-social risk factors, in order to establish guidelines in planning training programs for parents and professionals. Data from a representative sample of 1507 boys (54.3%) and 1268 girls (45.7%) aged 10-48 months were collected. The primary caregivers (mothers=91.4%) completed the Brief Infant-Toddler Social and Emotional Assessment (BITSEA), the Brief Symptom Inventory (BSI) and a form designed to gather information about various bio-psycho-social risk factors. Based on the caregiver terms, a total of 1626 children (60.1%) were reported to experience social-emotional problems. However, based on the BITSEA-problem clinical (1.5 SD) cut-off scores, 9.3% (9.1% of boys; 9.5% of girls) of all children were found to experience social-emotional problems. The variables, that showed a significant association with BITSEA-problem scores in pairwise comparisons, were entered in logistic regression analysis to determine the variables that predict the group with scores of above clinical cut-point. Higher total score of BSI of the primary caregiver, being separated from the mother for more than a month, and lower income of the family were found to be significant predictors of social-emotional problems. Caregiver reports highlight that maternal variables of mothers' psychological well-being, education and access to sources of support are closely related to the social-emotional wellbeing of their off-spring. The findings obtained from this study may be used for detection of prioritized domains in terms of management of preventive mental health services.