Evidence map›Paper›PMID 40588819›Full record

ArticleActa paediatrica (Oslo, Norway : 1992)2025

Computerised Algorithms Showed Promise in Identifying Swedish Children With Atypical Growth Patterns.

Lars Gelander, Aimon Niklasson, Anton Holmgren, Aldina Pivodic, Antti Saari, Ulla Sankilampi, Leo Dunkel, Kerstin Albertsson-Wikland

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta paediatrica (Oslo, Norway : 1992), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lars GelanderGöteborg Pediatric Growth Research Centre, Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sweden.ORCID 0000-0003-1728-4014
Aimon NiklassonGöteborg Pediatric Growth Research Centre, Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sweden.
Anton HolmgrenGöteborg Pediatric Growth Research Centre, Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sweden.ORCID 0000-0003-0940-8726
Aldina PivodicAPNC, Gothenburg, Sweden.
Antti SaariDepartment of Paediatrics, Kuopio University Hospital and University of Eastern Finland, Finland.
Ulla SankilampiDepartment of Paediatrics, Kuopio University Hospital and University of Eastern Finland, Finland.
Leo DunkelCentre for Endocrinology, William Harvey Research Institute, Barts & the London Medical School, UK.
Kerstin Albertsson-WiklandDepartment of Physiology/Endocrinology, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-3167-0667

Funding

Governmental grants under the ALF agreement ALFGBG-71904Governmental grants under the ALF agreement ALFGBG-81951Governmental grants under the ALF agreement ALFGBG-965451
6 · The paper itself

Abstract

aimWe used computerised algorithms comparing the performance of the growth assessment criteria recommended in Sweden with those used in Finland and established by the International Obesity Task Force (IOTF).

methodsHistorical data from 3214 Swedish children (51.6% girls) at 4, 6, and 8 years of age were compared with five Finnish screening parameters: the height standard deviation score (height-SDS), body mass index standard deviation score (BMI-SDS), differences in those over time and deviations from target height. In addition, BMI cut-offs in the Swedish, Finnish, and IOTF growth references were compared.

resultsThe Finnish screening algorithms identified up to 1.8% of Swedish children with low height-SDS or a negative change in height-SDS, and up to 1.5% with high height-SDS or a positive change in height-SDS. They also identified 26.4% more children with BMI corresponding to underweight, overweight or obesity than the IOTF measure. The Swedish cut-off identified a larger proportion than the Finnish algorithms: 17.4% of boys and 13.6% of girls were short at 4 years of age, while 15.5% of boys and 18.6% of girls were tall. Most children with atypical values were identified by this age.

conclusionComputerised Finnish algorithms could identify Swedish children with atypical growth patterns.

Indexed as

AlgorithmsGrowth DisordersBody HeightBody Mass IndexChildChild, PreschoolFemaleFinlandHumansMaleSwedenBMIgrowth algorithmsheightmid parental heightprepubertal

Identifiers

PMID40588819
PMCPMC12520263

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