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The Network Structure of Childhood Psychopathology in International Adoptees.

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Title: The Network Structure of Childhood Psychopathology in International Adoptees.
Authors: Elovainio, Marko, Hakulinen, Christian, Pulkki-Råback, Laura, Raaska, Hanna, Lapinleimu, Helena
Source: Journal of Child & Family Studies. Jul2018, Vol. 27 Issue 7, p2161-2170. 10p. 2 Diagrams, 2 Charts, 1 Graph.
Subjects: Psychology of adopted children, International adoption, Child psychopathology, Behavior disorders in children, Anxiety in children, Disease risk factors, Affective disorders, Adoptive parents, Aggression (Psychology), Child Behavior Checklist, Mental depression, Questionnaires, Surveys, Children, Mental illness risk factors
Geographic Terms: Finland
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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Child & Family Studies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The Network Structure of Childhood Psychopathology in International Adoptees.
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  Data: <searchLink fieldCode="AR" term="%22Elovainio%2C+Marko%22">Elovainio, Marko</searchLink><br /><searchLink fieldCode="AR" term="%22Hakulinen%2C+Christian%22">Hakulinen, Christian</searchLink><br /><searchLink fieldCode="AR" term="%22Pulkki-Råback%2C+Laura%22">Pulkki-Råback, Laura</searchLink><br /><searchLink fieldCode="AR" term="%22Raaska%2C+Hanna%22">Raaska, Hanna</searchLink><br /><searchLink fieldCode="AR" term="%22Lapinleimu%2C+Helena%22">Lapinleimu, Helena</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Child+%26+Family+Studies%22">Journal of Child & Family Studies</searchLink>. Jul2018, Vol. 27 Issue 7, p2161-2170. 10p. 2 Diagrams, 2 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Psychology+of+adopted+children%22">Psychology of adopted children</searchLink><br /><searchLink fieldCode="DE" term="%22International+adoption%22">International adoption</searchLink><br /><searchLink fieldCode="DE" term="%22Child+psychopathology%22">Child psychopathology</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+disorders+in+children%22">Behavior disorders in children</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety+in+children%22">Anxiety in children</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+disorders%22">Affective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Adoptive+parents%22">Adoptive parents</searchLink><br /><searchLink fieldCode="DE" term="%22Aggression+%28Psychology%29%22">Aggression (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Child+Behavior+Checklist%22">Child Behavior Checklist</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+illness+risk+factors%22">Mental illness risk factors</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Child & Family Studies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10826-018-1046-z
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 2161
    Subjects:
      – SubjectFull: Psychology of adopted children
        Type: general
      – SubjectFull: International adoption
        Type: general
      – SubjectFull: Child psychopathology
        Type: general
      – SubjectFull: Behavior disorders in children
        Type: general
      – SubjectFull: Anxiety in children
        Type: general
      – SubjectFull: Disease risk factors
        Type: general
      – SubjectFull: Affective disorders
        Type: general
      – SubjectFull: Adoptive parents
        Type: general
      – SubjectFull: Aggression (Psychology)
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      – SubjectFull: Child Behavior Checklist
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      – SubjectFull: Mental depression
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      – SubjectFull: Questionnaires
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      – SubjectFull: Surveys
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      – SubjectFull: Children
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      – SubjectFull: Mental illness risk factors
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      – SubjectFull: Finland
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      – TitleFull: The Network Structure of Childhood Psychopathology in International Adoptees.
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            NameFull: Elovainio, Marko
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            NameFull: Hakulinen, Christian
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            NameFull: Pulkki-Råback, Laura
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            NameFull: Raaska, Hanna
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            NameFull: Lapinleimu, Helena
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            – D: 01
              M: 07
              Text: Jul2018
              Type: published
              Y: 2018
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