Evidence map›Paper›PMID 41639635›Full record

ArticleBMC pediatrics2026

Support and concerns: Dutch health care professionals' views on the use of a childhood obesity prediction toolbox.

Anna Manshanden, Barbara Groot-Sluijsmans, Nohaila M'Rani Alaoui, Jacob C Seidell, S Coosje Dijkstra

Abstract read
In one paragraph

Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

5 authors.

Anna ManshandenDepartment of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. a.manshanden@vu.nl.
Barbara Groot-SluijsmansDepartment of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Nohaila M'Rani AlaouiDepartment of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jacob C SeidellDepartment of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
S Coosje DijkstraAmsterdam Public Health, Amsterdam, The Netherlands.

Funding

Horizon 2020 research and innovation program, European Union 727565ZonMw 529051026
6 · The paper itself

Abstract

backgroundChildhood obesity is a major and increasing public health concern. Early prediction of the risk of childhood obesity may lead to targeted preventative interventions. To develop a prediction-toolbox that is suitable for clinical implementation, it is imperative to align it with the perceptions of health care professionals (HCPs), but this aspect remains relatively underexplored. This study aimed to explore the perceptions of Dutch HCPs regarding the concept of a childhood obesity prediction toolbox.

methodsA qualitative study design comprising semi-structured interviews (n=15) with Dutch HCPs was used. HCPs included youth health care practitioners, youth health care nurses and policy advisors employed at the municipal health service of Amsterdam. Perceptions were explored regarding the concept of a three-element childhood obesity prediction toolbox of the EndObesity project, which consists of a prediction tool, prevention strategies to support families of high-risk infants, and communication tips for HCPs. The data were analysed through reflexive thematic analysis.

resultsHCPs were positive about early identification of the risk of future childhood obesity and the support of high-risk infants. They acknowledged the potential benefits of personalized care facilitated by such risk prediction, but concerns were raised regarding its validity and its added value compared with the clinical judgement of HCPs. HCPs also expressed some negative connotations regarding risk communication e.g. making parents feel insecure or judged, especially in vulnerable situations. Finally, HCPs acknowledged the complexity of childhood obesity prevention and emphasized the need for a complementary broader approach at both the municipal and national policy levels.

conclusionsDutch HCPs generally supported the potential use of a childhood obesity prediction toolbox, but they also expressed concerns regarding the validity, the added value of the toolbox and about risk communication. These concerns must be addressed in further development of the toolbox.

Indexed as

Attitude of Health PersonnelPediatric ObesityChildFemaleHumansInterviews as TopicMaleNetherlandsQualitative ResearchRisk AssessmentChildCommunicationInfantObesityParentsPreventionQualitativeRisk

Identifiers

PMID41639635
PMCPMC12958768

What Socratic holds

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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 Socratic graph.