Document Detail

Can psychopathology at age 7 be predicted from clinical observation at one year? Evidence from the ALSPAC cohort.
MedLine Citation:
PMID:  22853888     Owner:  NLM     Status:  MEDLINE    
One of the challenges of developmental psychopathology is to determine whether identifiable pathways to developmental disorders exist in the first months or years of life. Early identification of such disorders poses a similar challenge for clinical services. Using data from a large contemporary birth cohort, we examined whether psychopathology at age seven can be predicted from clinician observation at one year. Two groups of clinical raters observed videos of caregiver-infant interaction. Neither group of raters could reliably identify any precursors of later development of psychopathology in the one-year-old infants in this setting.
C S Allely; O Doolin; C Gillberg; I C Gillberg; C Puckering; M Smillie; A McConnachie; J Heron; J Golding; P Wilson
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-07-31
Journal Detail:
Title:  Research in developmental disabilities     Volume:  33     ISSN:  1873-3379     ISO Abbreviation:  Res Dev Disabil     Publication Date:    2012 Nov-Dec
Date Detail:
Created Date:  2012-09-03     Completed Date:  2013-03-29     Revised Date:  2014-02-24    
Medline Journal Info:
Nlm Unique ID:  8709782     Medline TA:  Res Dev Disabil     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2292-300     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier Ltd. All rights reserved.
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MeSH Terms
Anxiety Disorders / diagnosis*,  psychology
Attention Deficit Disorder with Hyperactivity / diagnosis*,  psychology
Child Development Disorders, Pervasive / diagnosis*,  psychology
Child, Preschool
Cohort Studies
Conduct Disorder / diagnosis*,  psychology
Depressive Disorder / diagnosis*,  psychology
Longitudinal Studies
Maternal Behavior
Mother-Child Relations
Object Attachment
Personality Assessment / statistics & numerical data*
Predictive Value of Tests
Psychometrics / statistics & numerical data
Risk Assessment
Social Environment
Grant Support
092731//Wellcome Trust; G9815508//Medical Research Council; //Medical Research Council; //Wellcome Trust

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