Document Detail

Early mother-infant interaction and infant cognitive status as predictors of school performance and cognitive behavior in six-year-olds.
MedLine Citation:
PMID:  6488954     Owner:  NLM     Status:  MEDLINE    
This study examines the predictive validity of early mother-infant interaction for development in early childhood. Observations of the interaction between 40 mothers and their 3-month-old infants were used in multiple regression analyses to predict math and reading achievement, conversation, and WISC Vocabulary and Block Design performance at 6 years of age. Frequency and proportion of interaction measures were derived that represent types of maternal stimulation and responsivity. Frequency measures are counts of the occurrence of a given behavior, while proportion measures are the proportion of the mother's total behavior that occurred as a specific behavior. Percentage responsivity measures are the best predictors of child performance. However, type of responsivity is differentially related to cognitive performance. Proximal and vocal responsivity are related to reading and conservation, while distal responsivity to infant distress is related to math achievement. Results suggest that maternal behavior can be characterized along several different and conceptually relevant dimensions as these dimensions differentially account for aspects of early development.
D L Coates; M Lewis
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Child development     Volume:  55     ISSN:  0009-3920     ISO Abbreviation:  Child Dev     Publication Date:  1984 Aug 
Date Detail:
Created Date:  1984-12-18     Completed Date:  1984-12-18     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  0372725     Medline TA:  Child Dev     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1219-30     Citation Subset:  IM    
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MeSH Terms
Child Development
Maternal Behavior
Mother-Child Relations*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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