Evidence map›Paper›PMID 42837607›Full record

ArticleJAMA pediatrics2026

Device-Measured Physical Activity, Sedentary Time, and Cardiometabolic Risk Markers in Youth: A Harmonized Individual Participant Data Meta-Analysis.

Anders Husøy, Knut Eirik Dalene, Bjørge H Hansen, Lauren B Sherar, Esther van Sluijs, Sigmund A Anderssen, Jostein Steene-Johannessen, Anna Bugge, Camilla T Damsgaard, Niels Wedderkopp and 29 more

Abstract read
In one paragraph

Article in JAMA pediatrics, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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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

39 authors.

Anders HusøyOslo Research Centre for Physical Activity and Population Health (ORC-PAPH), Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Knut Eirik DaleneDepartment of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
Bjørge H HansenDepartment of Sports Science and Physical Education, University of Agder, Kristiansand, Norway.
Lauren B SherarSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom.
Esther van SluijsIMS Epidemiology, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Sigmund A AnderssenOslo Research Centre for Physical Activity and Population Health (ORC-PAPH), Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Jostein Steene-JohannessenOslo Research Centre for Physical Activity and Population Health (ORC-PAPH), Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Anna BuggeDepartment of Midwifery, Physiotherapy, Occupational Therapy and Psychomotor Therapy, University College Copenhagen, Copenhagen, Denmark.
Camilla T DamsgaardDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark.
Niels WedderkoppDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.
Geir K ResalandFaculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.
Eva CorpeleijnDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Lu YangDepartment of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Antje HebestreitLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Christoph BuckLeibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Fabio LauriaNational Research Council, Institute of Food Sciences, Avellino, Italy.
Toomas VeidebaumNational Institute for Health Development, Tervise Arengu Instituut, Tallinn, Estonia.
Charalambos HadjigeorgiouResearch and Education Institute of Child Health, Nicosia, Cyprus.
Stefaan De HenauwDepartment of Public Health/Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Lauren LissnerSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Dénes MolnárMedical School, University of Pécs, Pécs, Hungary.
Luis A MorenoNUTRI-GENUD, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain.
Mélanie HendersonDepartment of Pediatrics, Université de Montréal, Montreal, Quebec, Canada.
Marie-Eve MathieuResearch Center of the Sainte-Justine University Hospital, Montréal, Québec, Canada.
Soren Harnois-LeblancDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Jo SalmonInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.
Simone J J M VerswijverenInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.
Jose Castro-PiñeroGALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Puerto Real, Spain.
Oscar L VeigaESTILIFE Research Group, Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid, Ciudad Universitaria de Cantoblanco, Madrid, Spain.
Kate NorthstoneDepartment of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Niels C MøllerResearch Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark.
Peter Lund KristensenResearch Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark.
Luís B SardinhaExercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Susi KriemlerEpidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland.
Pedro C HallalDepartment of Health and Kinesiology, University of Illinois Urbana-Champaign, Champaign.
Inácio Crochemore-SilvaPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Ulf EkelundOslo Research Centre for Physical Activity and Population Health (ORC-PAPH), Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Jakob TarpOslo Research Centre for Physical Activity and Population Health (ORC-PAPH), Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
International Children’s Accelerometry Database (ICAD) Collaborators

Funding

Wellcome Trust
6 · The paper itself

Abstract

Importance: The evidence for benefits of higher physical activity and lower sedentary time on the cardiometabolic risk profile in youth is based on cross-sectional and small prospective studies. Objective: To determine the prospective associations between device-measured physical activity and sedentary time with later cardiometabolic risk profiles in youth. Data Sources: The International Children's Accelerometry Database and cohorts identified from a systematic literature search (final search performed December 2024). Study Selection: Studies measured physical activity and sedentary time with an accelerometer at baseline and had prospective data on at least 1 cardiometabolic risk marker. Data Extraction and Synthesis: Individual participant data were transferred to a secure network, harmonized, and analyzed as a single dataset using mixed linear regression models with different statistical adjustment based on directed acyclic graphs. Effect sizes are β coefficients per SD exposure increment. Main Outcomes and Measures: Body mass index (BMI); insulin, glucose, low-density lipoprotein (LDL) cholesterol, and triglyceride levels; and systolic blood pressure, analyzed individually and as composite scores. Results: Of 5432 records screened, 12 relevant studies were identified, of which 8 provided individual participant data. Fourteen cohorts (12 874 participants; mean [range] age, 10.4 [5.0-17.9] years; 6577 female [52%]) with a mean (SD) follow-up of 3.1 (2.0) years were included. Moderate to vigorous physical activity (per SD, 26 minutes/day) was inversely associated with insulin (-0.24 µIU/mL; 95% CI, -0.38 to -0.10 µIU/mL), LDL cholesterol level (-1.54 mg/dL; 95% CI, -1.93 to -0.77 mg/dL), triglyceride level (-1.77 mg/dL, 95% CI, -2.65 to -0.88 mg/dL), and the composite risk scores (-0.04; 95% CI, -0.06 to -0.02). However, moderate to vigorous physical activity was not associated with BMI (0.00; 95% CI, -0.005 to 0.005) and associated with a higher systolic blood pressure (0.25 mm Hg; 95% CI, 0.04-0.46 mm Hg). Associations for vigorous intensity activity were similar, except that there was no association with systolic blood pressure. Higher sedentary time was not associated with a worse cardiometabolic profile but was associated with lower blood glucose concentration (-0.36 mg/dL; 95% CI, -0.72 to 0 mg/dL) and lower systolic blood pressure (-0.90 mm Hg; 95% CI, -1.22 to -0.58 mm Hg). The magnitude and direction of associations were modified by modeling approach, sex, BMI, age, and follow-up time. Conclusions and Relevance: Results of this harmonized individual participant data meta-analysis suggest that physical activity of moderate and vigorous intensity was beneficially associated with some cardiometabolic risk markers during childhood and adolescence. However, associations were weak, sensitive to the modeling approach, and heterogeneous across subgroups. Sedentary time is unlikely an important determinant of cardiometabolic risk in youth.

Identifiers

PMID42837607
PMCPMC13643603

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