The Network Structure of Childhood Psychopathology in International Adoptees

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http://hdl.handle.net/10138/302447

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Elovainio , M , Hakulinen , C , Pulkki-Råback , L , Raaska , H & Lapinleimu , H 2018 , ' The Network Structure of Childhood Psychopathology in International Adoptees ' , Journal of Child and Family Studies , vol. 27 , no. 7 , pp. 2161-2170 . https://doi.org/10.1007/s10826-018-1046-z

Title: The Network Structure of Childhood Psychopathology in International Adoptees
Author: Elovainio, Marko; Hakulinen, Christian; Pulkki-Råback, Laura; Raaska, Hanna; Lapinleimu, Helena
Contributor: University of Helsinki, Medicum
University of Helsinki, Medicum
University of Helsinki, Medicum
University of Helsinki, Lastenpsykiatria
Date: 2018-07
Language: eng
Number of pages: 10
Belongs to series: Journal of Child and Family Studies
ISSN: 1062-1024
URI: http://hdl.handle.net/10138/302447
Abstract: International adoptees are at an increased risk of emotional and behavioral problems, especially those who are adopted at an older age. We took a new approach in our study of the network structure and predictability of emotional and behavioral problems in internationally adopted children in Finland. Our sample was from the on-going adoption study and comprised 778 internationally adopted children (387 boys and 391 girls, mean age 10.5 (SD 3.4) years). Networks were estimated using Gaussian graphical models and lasso regularization for all the children, and separately for those who were adopted at different ages. The results showed that anxiety/depressive symptoms, social problems, and aggressiveness were the most central symptom domains. Somatic symptoms were the least central and had the weakest effect on the other domains. Similarly, aggressiveness, social problems, and attention problems were high in terms of predictability (73-65%), whereas internalizing problems were relatively low (28-56%). There were clear but local age-group differences in network structure, symptom centrality, and predictability. According to our findings, network models provide important additional information about the centrality and predictability of specific symptom domains, and thus may facilitate targeted interventions among international adoptees.
Subject: Network
Adoption
CBCL
Behavioral problems
REACTIVE ATTACHMENT DISORDER
PSYCHIATRIC SAMPLE
WEIGHTED NETWORKS
BEHAVIOR PROBLEMS
MENTAL-HEALTH
SYMPTOMS
CHILDREN
METAANALYSIS
DEPRESSION
ADOLESCENTS
3124 Neurology and psychiatry
515 Psychology
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