Evidence map›Paper›PMID 39636324›Full record

ArticleEuropean journal of pediatrics2024

Age- and sex-specific reference percentile curves for accelerometry-measured physical activity in healthy European children and adolescents.

Mark-Jan Ploegstra, Annika Swenne, Christoph Buck, Luis A Moreno, Lauren Lissner, Fabio Lauria, Stefaan de Henauw, Dénes Molnár, Michael Tornaritis, Kenn Konstabel and 16 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Observational
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

26 authors.

Mark-Jan PloegstraDepartment of Pediatrics, Medisch Centrum Leeuwarden, Leeuwarden, The Netherlands. m.ploegstra@umcg.nl.
Annika SwenneLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Christoph BuckLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Luis A MorenoGrowth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), University of Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Saragossa, Spain.
Lauren LissnerSchool of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Fabio LauriaInstitute of Food Sciences, National Research Council, Avellino, Italy.
Stefaan de HenauwDepartment of Public Health and Primary Care, University of Ghent, Ghent, Belgium.
Dénes MolnárDepartment of Pediatrics, Medical School, and , National Laboratory On Human Reproduction, University of Pécs, RRF-2.3.1-21, 2022-00012, Pécs, Hungary.
Michael TornaritisResearch and Education Institute of Child Health, Strovolos, Cyprus.
Kenn KonstabelNational Institute for Health Development, Tallinn, Estonia.
Mark RaysonMark Rayson Consulting Ltd, Bristol, UK.
Yannis PitsiladisDepartment of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
Yannis ManiosDepartment of Nutrition and Dietetics, Harokopio University, Athens, Greece.
Laurent BéghinUniv. Lille, Inserm, CHU Lille, U1286-INFINITE-Institute for Translational Research in Inflammation, and CIC, 1403-Clinical Investigation Center, 59000, Lille, France.
Kurt WidhalmAcademic Institute for Clinical Nutrition, Medical University of Vienna, Vienna, Austria.
Angela PolitoCouncil for Agricultural Research and Economics-Research Centre for Food and Nutrition, Rome, Italy.
Kathrin SinningenResearch Department of Child Nutrition, University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Anthony KafatosUniversity of Crete, Heraklion, Greece.
Sonia Gomez-MartinezImmunonutrition Research Group, Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN)-CSIC, Madrid, Spain.
Marcela González-GrossCentro de Investigación Biomédica en Red de Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
José Antonio CasajúsGrowth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), University of Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Saragossa, Spain.
Artur MazurInstitute of Medical Sciences, Medical College, Rzeszów University, Rzeszow, Poland.
Francisco B OrtegaDepartment of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, CIBEROBN Physiopathology of Obesity and Nutrition, Granada, Spain.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Rolf M F BergerBeatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Timm IntemannLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.

Funding

Seventh Framework Programme 266044Sixth Framework Programme 007034Sixth Framework Programme 016181
6 · The paper itself

Abstract

Physical activity measured by accelerometry (PA-accelerometry) is used as an indicator of physical capacity in chronic diseases. Currently, only fragmented age ranges of reference percentile curves are available for European children and adolescents. This study aimed to provide age- and sex-specific percentiles for physical activity measured by hip-worn accelerometry derived throughout the full age range of European children and adolescents. Individual-level population-based PA data measured by accelerometry from HELENA and IDEFICS/I.Family studies were pooled and harmonized. Together these studies involved children and adolescents aged 2-18 years from 12 European countries. Primary outcomes included averaged counts per minute (CPM), sedentary time (SED), light PA (LPA) and moderate-to-vigorous PA (MVPA). Generalized Additive Models for Location, Scale and Shape were used to derive age- and sex-specific reference percentile curves for these outcomes. The combined cohort consisted of 11,645 children and adolescents aged 2 to 18 years who contributed 14,610 valid accelerometry recordings, with a median accelerometer wear time of 6 days. This dataset allowed for the construction of age- and sex-specific reference percentile curves for CPM, SED, LPA, and MVPA. The curves demonstrated varying trends and variability across age groups.

conclusionsThis study provides age- and sex-specific percentile curves for PA-accelerometry in European children and adolescents, addressing a current gap in the availability of full-age range reference data. These curves based on healthy children and adolescents can be used by clinicians, researchers, and policymakers to interpret PA-accelerometry measurements, track physical activity trends, and evaluate treatment responses and health interventions. WHAT IS KNOWN: • Daily physical activity (PA) is considered an important measure in various paediatric conditions. Existing reference data for PA in European children based on hip-worn accelerometers are limited to specific age ranges, and comprehensive data covering the full age range are lacking. WHAT IS NEW: • The study provides age- and sex-specific reference curves for PA derived by hip-worn accelerometers in European children and adolescents. These curves aid clinicians, researchers, and policymakers in interpreting PA measurements and tracking trends over time in European children.

Indexed as

AccelerometryExerciseAdolescentAge FactorsChildChild, PreschoolEuropeFemaleHumansMaleReference ValuesSex FactorsAccelerometerAdolescentsChildrenPercentile curvesPhysical activity

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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.