Evidence map›Paper›PMID 41727419›Full record

ArticleEnvironmental health insights2025

Collaborating With Schools for Public Health Research in England: Lessons Learned for Successful Partnerships.

Ivelina Tsocheva, Jasmine Chavda, James Scales, Rosamund Dove, Harpal Kalsi, Helen E Wood, Grainne Colligan, Louise Cross, Luke Sartori, Jessica Moon and 14 more

Abstract read
In one paragraph

Article in Environmental health insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

Ivelina TsochevaInstitute for Health Research, University of Bedfordshire, Luton, UK.ORCID https://orcid.org/0009-0006-6998-5575
Jasmine ChavdaInstitute for Health Research, University of Bedfordshire, Luton, UK.
James ScalesAsthma UK Centre for Applied Research, Edinburgh, UK.
Rosamund DoveAsthma UK Centre for Applied Research, Edinburgh, UK.
Harpal KalsiAsthma UK Centre for Applied Research, Edinburgh, UK.
Helen E WoodAsthma UK Centre for Applied Research, Edinburgh, UK.
Grainne ColliganAsthma UK Centre for Applied Research, Edinburgh, UK.
Louise CrossAsthma UK Centre for Applied Research, Edinburgh, UK.
Luke SartoriAsthma UK Centre for Applied Research, Edinburgh, UK.
Jessica MoonWolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, UK.
Aisling MurrayAsthma UK Centre for Applied Research, Edinburgh, UK.
Sarah Van Den BergAsthma UK Centre for Applied Research, Edinburgh, UK.
Alice HirstWolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, UK.
Jessica MitchellWolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, UK.ORCID https://orcid.org/0009-0009-6380-910X
Jason LeWolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, UK.
Frances BalkwillCentre of the Cell, Queen Mary University of London, UK.
Kristian PetrovicCentre of the Cell, Queen Mary University of London, UK.
Esther LieCentre of the Cell, Queen Mary University of London, UK.
Mia KeatingCentre of the Cell, Queen Mary University of London, UK.
Britzer Vincent Paul RajInstitute for Health Research, University of Bedfordshire, Luton, UK.
Pavani KotalaInstitute for Health Research, University of Bedfordshire, Luton, UK.
Gurch RandhawaInstitute for Health Research, University of Bedfordshire, Luton, UK.
Ian S MudwayAsthma UK Centre for Applied Research, Edinburgh, UK.
Chris GriffithsAsthma UK Centre for Applied Research, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carrying out health research with schools can be both challenging and highly rewarding. Here we describe lessons learned from a research partnership lasting over 5 years, initially with 84 primary schools in London and Luton, and extended to 35 secondary schools, during our children health cohort study. This period included school closures and societal disruption during the COVID-19 pandemic, creating additional challenges to ongoing school participation. Our study involved annual health assessment visits to schools to test over 3000 participants and parental self-report questionnaires, to assess the potential benefits of air quality improvements arising from London Ultra Low Emission Zone (introduced in April 2019) on children's lung development and health. Measures included height, weight, pre- and post- bronchodilator spirometry, physical activity monitoring, cognitive assessment, epigenetic markers of disease risk, SARS-CoV-2 IgE and IgM antibody testing, and heavy metals testing. The average annual participant attrition for our study was 11.6%. The acceptable threshold outlined in the initial protocol was 20%. All schools continued to participate in the study for 5 years. Central to the study success have been: shared agreement on the importance of the research topic; early preparatory work with stakeholders, a parallel engaging and innovative air pollution learning and outreach programme, incentivising school/teacher co-operation and parental questionnaire completion to boost response rates and mitigate non-response bias; and continuity of contact with the accessible and flexible research team. These successes form a template for other health research studies planning long-term engagement with schools.

Indexed as

air quality improvementattritionhealth assessmentlongitudinal studyrecruitmentretentionschool engagement

Identifiers

PMID41727419
PMCPMC12921200

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.