Evidence map›Paper›PMID 38778320›Full record

ArticleBMC public health2024

Risk of not being in employment, education or training (NEET) in late adolescence is signalled by school readiness measures at 4-5 years.

Matthew Warburton, Megan L Wood, Kuldeep Sohal, John Wright, Mark Mon-Williams, Amy L Atkinson

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Matthew WarburtonSchool of Psychology, University of Leeds, Leeds, LS2 9JT, UK. pscmwa@leeds.ac.uk.
Megan L WoodSchool of Psychology, University of Leeds, Leeds, LS2 9JT, UK.
Kuldeep SohalBradford Institute for Health Research, Bradford, BD9 6RJ, UK.
John WrightBradford Institute for Health Research, Bradford, BD9 6RJ, UK.
Mark Mon-WilliamsSchool of Psychology, University of Leeds, Leeds, LS2 9JT, UK.
Amy L AtkinsonDepartment of Psychology, Lancaster University, Lancaster, LA1 4YF, UK.

Funding

Medical Research Council MR/S037527/1Medical Research Council MR/W014416/1National Institute for Health and Care Research NIHR133648UK Prevention Research Partnership MR/S037527/1
6 · The paper itself

Abstract

backgroundNot being in employment, education, or training (NEET) is associated with poor health (physical and mental) and social exclusion. We investigated whether England's statutory school readiness measure conducted at 4-5 years provides a risk signal for NEET in late adolescence.

methodsWe identified 8,118 individuals with school readiness measures at 4-5 years and NEET records at 16-17 years using Connected Bradford, a bank of linked routinely collected datasets. Children were categorised as 'school ready' if they reached a 'Good Level of Development' on the Early Years Foundation Stage Profile. We used probit regression and structural equation modelling to investigate the relationship between school readiness and NEET status and whether it primarily relates to academic attainment.

resultsSchool readiness was significantly associated with NEET status. A larger proportion of young people who were not school ready were later NEET (11%) compared to those who were school ready (4%). Most of this effect was attributable to shared relationships with academic attainment, but there was also a direct effect. Measures of deprivation and Special Educational Needs were also strong predictors of NEET status.

conclusionsNEET risk factors occur early in life. School readiness measures could be used as early indicators of risk, with interventions targeted to prevent the long-term physical and mental health problems associated with NEET, especially in disadvantaged areas. Primary schools are therefore well placed to be public health partners in early intervention strategies.

Indexed as

SchoolsAcademic SuccessAdolescentChild, PreschoolEducational StatusEmploymentEnglandFemaleHumansMaleRisk FactorsUnemploymentAcademic attainmentEYFSPNEETNot in employment, education, or trainingSchool readiness

Identifiers

PMID38778320
PMCPMC11110409

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.