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01.12.2014 | Research | Ausgabe 1/2014 Open Access

Child and Adolescent Psychiatry and Mental Health 1/2014

Predicting aggression in children with ADHD

Child and Adolescent Psychiatry and Mental Health > Ausgabe 1/2014
Elif Ercan, Eyüp Sabri Ercan, Hakan Atılgan, Bürge Kabukçu Başay, Taciser Uysal, Sevim Berrin İnci, Ülkü Akyol Ardıç
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1753-2000-8-15) contains supplementary material, which is available to authorized users.

Competing interest

The study was not supported by any financial funding. No financial or material support was taken for the study. Dr. Ercan is on advisory boards for Eli Lilly Turkey and Janssen Turkey. The other authors have no biomedical financial interests or potential conflicts of interest.

Authors’ contributions

All authors but BKB contributed equally to the design and conduct of the study, interpretation of the results, and writing of the manuscript. BKB was responsible for collection of the data. All authors read and approved the final manuscript.



The present study uses structural equation modeling of latent traits to examine the extent to which family factors, cognitive factors and perceptions of rejection in mother-child relations differentially correlate with aggression at home and at school.


Data were collected from 476 school-age (7–15 years old) children with a diagnosis of ADHD who had previously shown different types of aggressive behavior, as well as from their parents and teachers. Structural equation modeling was used to examine the differential relationships between maternal rejection, family, cognitive factors and aggression in home and school settings.


Family factors influenced aggression reported at home (.68) and at school (.44); maternal rejection seems to be related to aggression at home (.21). Cognitive factors influenced aggression reported at school (.-05) and at home (-.12).


Both genetic and environmental factors contribute to the development of aggressive behavior in ADHD. Identifying key risk factors will advance the development of appropriate clinical interventions and prevention strategies and will provide information to guide the targeting of resources to those children at highest risk.
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