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A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants.

A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants. Research Abstract Details 

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  • A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants. Abstract Text:

    g robertsG Roberts,d bellingerD Bellinger,m c mccormickM C McCormick,

    OBJECTIVES: Premature and low birth weight children have a high prevalence of academic difficulties. This study examines a model comprised of cumulative risk factors that allows early identification of these difficulties. METHODS: This is a secondary analysis of data from a large cohort of premature (<37 weeks gestation) and LBW (<2500 g) children. The study subjects were 8 years of age and 494 had data available for reading achievement and 469 for mathematics. Potential predictor variables were categorized into 4 domains: sociodemographic, neonatal, maternal mental health and early childhood (ages 3 and 5). Regression analysis was used to create a model to predict reading and mathematics scores. RESULTS: Variables from all domains were significant in the model, predicting low achievement scores in reading (R (2) of 0.49, model p-value < .0001) and mathematics (R (2) of 0.44, model p-value < .0001). Significant risk factors for lower reading scores, were: lower maternal education and income, and Black or Hispanic race (sociodemographic); lower birth weight and male gender (neonatal); lower maternal responsivity (maternal mental health); lower intelligence, visual-motor skill and higher behavioral disturbance scores (early childhood). Lower mathematics scores were predicted by lower maternal education, income and age and Black or Hispanic race (sociodemographic); lower birth weight and higher head circumference (neonatal); lower maternal responsivity (maternal mental health); lower intelligence, visual-motor skill and higher behavioral disturbance scores (early childhood). CONCLUSIONS: Sequential early childhood risk factors in premature and LBW children lead to a cumulative risk for academic difficulties and can be used for early identification.

    A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants. Publishing Authors By Initials

    g robertsG Roberts,d bellingerD Bellinger,mc mccormickMC McCormick,

    For similar socioeconomic factors research abstracts see: socioeconomic factors research

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    A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants. Journal Published:

    PUBLICATION TYPE: Research Support, U.S. Gov't,

    Journal: Maternal and child health journal

    VOLUME: 11

    Page Numbers: 161-72

    Journal Abbreviation:

    ISSN: 1092-7875

    DAY: 25

    MONTH: 10

    YEAR: 2006

    A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants. Information

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    LANGUAGE: eng

    NlmUniqueID: 9715672

    A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants. Keywords Mesh Terms:

    KEYWORDS: Socioeconomic Factors

    MESH TERMS: psychology

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    Grant and Affiliation Information for A cumulative risk factor model for early identification of academic difficulties in premature and low birth weight infants.

    AFFILIATION: Murdoch Children's Research Institute, Royal Children's Hospital, Flemington Road, Parkville, VIC 3052, Melbourne, Australia. gehan.roberts@rch.org.au

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States PHS

    GRANT: 2T77MC00011-10

    ACRONYM:

    MEDLINETA: Matern Child Health J

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