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Developing a brief cross-culturally validated screening tool for externalizing disorders in children.
Barbara W C Zwirs1, Huibert Burger2, Tom W J Schulpen2
1Dr. Zwirs is with the Faculty of Law, Erasmus University of Rotterdam; Dr. Schulpen is with the Department of Pediatrics, University Medical Center Utrecht; Dr. Burger is with the Departments of Epidemiology and Psychiatry, University Medical Center Groningen; and Dr. Buitelaar is with the Department of Psychiatry and the Academic Center for Child and Adolescent Psychiatry, Radboud University Nijmegen Medical Center..
A new screening tool effectively predicts externalizing disorders in children using teacher-reported data. This brief instrument shows good accuracy for both native Dutch and immigrant children, requiring further validation.
Area of Science:
- Child and Adolescent Psychiatry
- Developmental Psychology
- Behavioral Science
Background:
- Existing screening tools for externalizing disorders are primarily developed for Western populations.
- There is a need for culturally sensitive screening instruments applicable to diverse child populations.
Purpose of the Study:
- To develop and validate a brief teacher-based screening instrument for predicting externalizing disorders in both native Dutch and non-Dutch immigrant children.
- To assess the predictive accuracy of the instrument across different ethnic groups.
Main Methods:
- Teachers completed the Strengths and Difficulties Questionnaire for 2,185 children (ages 6-10).
- A subsample underwent detailed interviews for diagnostic assessment.
- Logistic regression analysis was used to derive a prediction score from specific questionnaire items.
Main Results:
- Four items (restless, obeys, lies, concentrates) effectively predicted externalizing disorders.
- The screening tool demonstrated good discriminatory power (AUC = 0.84).
- No significant differences in prediction accuracy were found between native Dutch and non-Dutch immigrant children.
Conclusions:
- A concise, teacher-assessed scoring rule can predict externalizing disorders in diverse child populations.
- The developed tool shows promise for early identification of externalizing disorders.
- External validation is required before clinical implementation.
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