Evidence map›Paper›PMID 33398003›Full record

ArticleNPJ science of learning2021

Common health conditions in childhood and adolescence, school absence, and educational attainment: Mendelian randomization study.

Amanda Hughes, Kaitlin H Wade, Matt Dickson, Frances Rice, Alisha Davies, Neil M Davies, Laura D Howe

Open access · goldAbstract read
In one paragraph

Article in NPJ science of learning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  11. Genetics of migraine: where are we now?The journal of headache and pain · 2023
    Review
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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

7 authors at 6 institutions in 2 countries.

Amanda HughesMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK. amanda.hughes@bristol.ac.uk.ORCID http://orcid.org/0000-0001-5896-7650
Kaitlin H WadeMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK.
Matt DicksonInstitute for Policy Research, University of Bath, Bath, UK.
Frances RiceCardiff University, Cardiff, UK.
Alisha DaviesPublic Health Wales, Wales, UK.ORCID http://orcid.org/0000-0003-3226-4134
Neil M DaviesMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK.
Laura D HoweMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK.
University of Bristol · GBBristol City Council · GBCardiff University · GBNorwegian University of Science and Technology · NOPublic Health Wales · GBUniversity of Bath · GB

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/9Medical Research Council MR/M020894/1Wellcome Trust
6 · The paper itself

Abstract

Good health is positively related to children's educational outcomes, but relationships may not be causal. Demonstrating a causal influence would strongly support childhood and adolescent health as important for education policy. We applied genetic causal inference methods to assess the causal relationship of common health conditions at age 10 (primary/elementary school) and 13 (mid-secondary/mid-high school) with educational attainment at 16 and school absence at 14-16. Participants were 6113 children from the Avon Longitudinal Study of Parents and Children (ALSPAC). Exposures were symptoms of attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), depression, asthma, migraines and BMI. Genetic liability for these conditions and BMI was indexed by polygenic scores. In non-genetic, multivariate-adjusted models, all health conditions except asthma and migraines were associated with poorer attainment and greater school absence. School absence substantially mediated effects of BMI (39.9% for BMI at 13) and migraines (72.0% at 10), on attainment with more modest mediation for emotional and neurodevelopmental conditions. In genetic models, a unit increase in standardized BMI at 10 predicted a 0.19 S.D. decrease (95% CI: 0.11, 0.28) in attainment at 16, equivalent to around a 1/3 grade lower in all subjects, and 8.7% more school absence (95% CI:1.8%,16.1%). Associations were similar at 13. Genetic liability for ADHD predicted lower attainment but not more absence. Triangulation across multiple approaches supports a causal, negative influence on educational outcomes of BMI and ADHD, but not of ASD, depression, asthma or migraine. Higher BMI in childhood and adolescence may causally impair educational outcomes.

Identifiers

PMID33398003
PMCPMC7782810
OpenAlexW3093925721

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.