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Record W4416390474 · doi:10.1101/2025.11.13.25340148

Health and socioeconomic characteristics underlying educational attainment of children born preterm in England: a population cohort study using linked data

2025· preprint· W4416390474 on OpenAlexaboutno aff
Sadia Haider, Athanasios Tsanas, G. David Batty, Rebecca M. Reynolds, Melvyn Roffe, Heather C. Whalley, Riccardo E. Marioni, Hilary Richardson, Cheryl Battersby, James P. Boardman

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Language
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersNIHR Imperial Biomedical Research CentreMedical Research CouncilNational Institute for Health and Care ResearchUK Research and Innovation
KeywordsEducational attainmentSocioeconomic statusOddsRecord linkageLogistic regressionSeason of birthOdds ratioCohort studyPopulationCohort

Abstract

fetched live from OpenAlex

Abstract Background Preterm birth (PTB) is a leading cause of atypical brain development and cognitive impairment, however, there are sparse data on its impact on statutory educational assessments. We aimed to describe school readiness at 5 years and educational attainment at 6–7 years of children born preterm in England and identify the early life factors that associate with attainment. Methods We created a novel record linkage between the National Neonatal Research Database and the National Pupil Database for all babies born <32 weeks’ gestation in England (2008–2012) who survived to neonatal discharge. We used logistic regression to investigate associations between clinical and demographic variables and performance in six statutory school-age assessments. Findings Data from 15,857 children were analysed (53.3% boys). Fifty-seven percent did not meet the school readiness level at age 5, 51% did not meet expected attainment at ages six to seven in writing, maths (48%), reading (42%), and science (36%). Children born at 23–24 weeks had two to three times higher odds of not meeting expected levels compared to those born at 31 weeks (age 5: adjusted odds ratio 2.86, 95% CI 2.19-3.73). Children born in the most deprived areas at birth had 1 7 to 2-fold the risk of under-attainment compared to those in the least deprived. In adjusted models, male sex and season of birth conferred increased risk, alongside several potentially mutable risks: smoking during pregnancy, exposure to ante-or postnatal corticosteroids, severe acquired neonatal brain injuries, co-morbidities of PTB, nutrition during neonatal care, and childhood deprivation. Interpretation PTB poses a substantial risk for educational under-attainment at ages 5 through 7 years, particularly when combined with socioeconomic deprivation. Addressing neighbourhood-and family-level social inequalities should be given similar priority as reducing medical complications of PTB for improving the educational attainment of children born preterm. Funding UKRI Medical Research Council RESEARCH IN CONTEXT Evidence before this study We searched PubMed from October 1 st , 2015, to October 1 st , 2025, with no language restrictions for publications using the terms ((“preterm” OR “premature” OR “gestational age”) AND “socioeconomic” AND (“school” OR “education”)) in the title/abstract. Our search identified 20 relevant peer-reviewed studies, including one narrative systematic review that examined how socioeconomic inequalities and preterm birth interact to modify health and education outcomes. Three studies were conducted in the UK and used linked data to investigate educational outcomes for preterm-born children. The remainder were conducted in Scandinavian countries, Canada, Australia, and the Netherlands. Collectively, these studies have consistently shown that children born preterm have lower educational attainment compared with those born at term: a well-established dose-response relationship exists between gestational age and educational outcomes, with lower gestational age associated with progressively poorer attainment across all stages of education. However, most existing linkage studies did not capture the clinical heterogeneity of the preterm-born population underlying this gradient, as these data are rarely available in population-level datasets linked to education records. Whilst some studies included measures of socioeconomic status as a covariate, their independent effects have seldom been investigated, particularly relative to neonatal risk factors. Added value of this study The present study addresses these gaps through a novel linkage of population-level neonatal clinical data with national statutory educational assessments. We describe the high prevalence of low attainment among very preterm children (<32 weeks’ gestation) at ages 5 through 7 years in England. The linkage enables a granular characterisation of how maternal and neonatal conditions, exposures and treatments, and neighbourhood-and family-level measures of social disadvantage explain educational performance of children born <32 weeks’ gestation. The findings show a dose effect of low GA on low attainment and that the adverse effects of socioeconomic deprivation at birth persist through early school age. The effect of family-level deprivation at the start of school age is comparable in magnitude to that of severe neonatal brain injury, however, impacts a greater proportion of the population. As such, this study provides a more holistic understanding of the pathways underlying educational risk in this population. Implications of all the available evidence Improving the educational attainment of very preterm children is likely to require a reduction in social inequalities in pregnancy and early childhood, alongside care practices and research to minimise comorbidities of preterm birth. Furthermore, the identification of modifiable exposures, including maternal non-smoking, antenatal or postnatal corticosteroid exposure, breastfeeding, and deferred school entry or targeted additional support for very preterm children born in the summer months, offers practical targets for parents, clinicians, teachers and school leaders and educators, that could facilitate long-term educational attainment for children born preterm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.354
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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