Gestational age at birth, chronic conditions and school outcomes: a population-based data linkage study of children born in England.
Gestational age at birth, chronic conditions and school outcomes: a population-based data linkage study of children born in England.
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DOI:
10.1093/ije/dyac105
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发表时间:
2023-02-08
影响因子:
7.7
通讯作者:
中科院分区:
文献类型:
--
作者:
We aimed to generate evidence about child development measured through school attainment and provision of special educational needs (SEN) across the spectrum of gestational age, including for children born early term and >41 weeks of gestation, with and without chronic health conditions. We used a national linked dataset of hospital and education records of children born in England between 1 September 2004 and 31 August 2005. We evaluated school attainment at Key Stage 1 (KS1; age 7) and Key Stage 2 (KS2; age 11) and any SEN by age 11. We stratified analyses by chronic health conditions up to age 2, and size-for-gestation, and calculated population attributable fractions (PAF). Of 306 717 children, 5.8% were born <37 weeks gestation and 7.0% had a chronic condition. The percentage of children not achieving the expected level at KS1 increased from 7.6% at 41 weeks, to 50.0% at 24 weeks of gestation. A similar pattern was seen at KS2. SEN ranged from 29.0% at 41 weeks to 82.6% at 24 weeks. Children born early term (37–38 weeks of gestation) had poorer outcomes than those born at 40 weeks; 3.2% of children with SEN were attributable to having a chronic condition compared with 2.0% attributable to preterm birth. Children born with early identified chronic conditions contribute more to the burden of poor school outcomes than preterm birth. Evaluation is needed of how early health characteristics can be used to improve preparation for education, before and at entry to school.
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DOI:
10.1136/archdischild-2012-303536
发表时间:
2014-01
期刊:
Archives of disease in childhood. Fetal and neonatal edition
影响因子:
--
作者:
Cole TJ;Statnikov Y;Santhakumaran S;Pan H;Modi N;Neonatal Data Analysis Unit and the Preterm Growth Investigator Group
通讯作者:
Neonatal Data Analysis Unit and the Preterm Growth Investigator Group
影响因子:
5.1
作者:
Chyi, Lisa J.;Lee, Henry C.;Sutcliffe, Trenna L.
通讯作者:
Sutcliffe, Trenna L.
影响因子:
120.7
作者:
Hack, M;Taylor, HG;Klein, N
通讯作者:
Klein, N
影响因子:
5.2
作者:
Jay, Matthew A.;Gilbert, Ruth
通讯作者:
Gilbert, Ruth
影响因子:
8
作者:
Bentley, Jason P.;Roberts, Christine L.;Nassar, Natasha
通讯作者:
Nassar, Natasha