Literature DB >> 17346999

Newborns at risk for special education placement: a population-based study.

Minna K Mannerkoski1, Laura E Aberg, Taina H Autti, Marianne Hoikkala, Seppo Sarna, Hannu J Heiskala.   

Abstract

OBJECTIVES: To establish the contributions of birth weight (BW), gender, socioeconomic status (SES), and parental age on risks for special education (SE) placements in school-age children.
METHODS: A population-based sample of 900 school-age children attending the following full-time SE groups: at level 1, children had isolated neurodevelopmental, physical, or other impairments; at level 2, borderline to mild intellectual disability (ID); and at level 3, moderate to severe ID. Three hundred and one children enrolled in mainstream education formed the control group (level 0). For all children with siblings, we defined familiar forms of learning disorders as having a sibling in one of the SE groupings. We performed our analysis for the entire cohort as well as comparing risk factors within the familial and non-familial types of SE groupings.
RESULTS: In multinomial logistic regression analysis, age of father 40 years, low BW (<2500g or <-2 SD), male sex, and parent's lower SES, all increased the probability of SE placement. In the familial forms of levels 2 and 3, the parental SES was lower and, in addition, in the level 2, the family size was bigger. Furthermore, in the non-familial form of level 2, both the low and the high (4000g) BW were more common.
CONCLUSIONS: Among the known risk factors for learning disabilities (LD), our study highlighted the importance of a higher paternal age and a lower SES especially in the familial forms of LD.

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Year:  2007        PMID: 17346999     DOI: 10.1016/j.ejpn.2007.01.005

Source DB:  PubMed          Journal:  Eur J Paediatr Neurol        ISSN: 1090-3798            Impact factor:   3.140


  5 in total

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Journal:  J Spec Educ       Date:  2010-02-01

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Review 5.  Disabling chronic conditions in childhood and socioeconomic disadvantage: a systematic review and meta-analyses of observational studies.

Authors:  Nicholas J Spencer; Clare M Blackburn; Janet M Read
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  5 in total

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