Evidence map›Paper›PMID 31672163›Full record

SynthesisThe international journal of behavioral nutrition and physical activity2019

Substituting prolonged sedentary time and cardiovascular risk in children and youth: a meta-analysis within the International Children's Accelerometry database (ICAD).

Katrien Wijndaele, Thomas White, Lars Bo Andersen, Anna Bugge, Elin Kolle, Kate Northstone, Niels Wedderkopp, Mathias Ried-Larsen, Susi Kriemler, Angie S Page and 8 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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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

18 authors at 8 institutions in 5 countries.

Katrien WijndaeleMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK. katrien.wijndaele@mrc-epid.cam.ac.uk.ORCID http://orcid.org/0000-0003-2199-7981
Thomas WhiteMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK.
Lars Bo AndersenFaculty of Teacher Education and Sport, Campus Sogndal, Western Norway University of Applied Sciences, Bergen, Norway.
Anna BuggeCentre for Research in Childhood Health, Exercise Epidemiology Unit, Department of Sport Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Elin KolleDepartment of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Kate NorthstoneBristol Medical School, University of Bristol, Bristol, UK.
Niels WedderkoppFaculty of Teacher Education and Sport, Campus Sogndal, Western Norway University of Applied Sciences, Bergen, Norway.
Mathias Ried-LarsenFaculty of Teacher Education and Sport, Campus Sogndal, Western Norway University of Applied Sciences, Bergen, Norway.
Susi KriemlerInstitute of Social and Preventive Medicine, University of Zurich, Zürich, Switzerland.
Angie S PageCentre for Exercise, Nutrition and health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
Jardena J PuderLausanne University Hospital, Lausanne, Switzerland.
John J ReillySchool of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland.
Luis B SardinhaExercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Esther M F van SluijsMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK.
Stephen J SharpMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK.
Søren BrageMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK.
Ulf EkelundDepartment of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
International Children’s Accelerometry Database (ICAD) Collaborators
University of Cambridge · GBUniversity of Southern Denmark · DKUniversity of Bristol · GBUniversity of Lisbon · PTWestern Norway University of Applied Sciences · NONorwegian School of Sport Sciences · NOUniversity of Strathclyde · GBUniversity of Zurich · CH

Funding

British Heart Foundation FS/12/58/29709Cancer Research UKChief Scientist OfficeDepartment of HealthMedical Research Council G0701877Medical Research Council G9815508Medical Research Council MC_PC_19009Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/7Medical Research Council MR/K023187/1
6 · The paper itself

Abstract

backgroundEvidence on the association between sitting for extended periods (i.e. prolonged sedentary time (PST)) and cardio-metabolic health is inconsistent in children. We aimed to estimate the differences in cardio-metabolic health associated with substituting PST with non-prolonged sedentary time (non-PST), light (LIPA) or moderate-to-vigorous physical activity (MVPA) in children.

methodsCross-sectional data from 14 studies (7 countries) in the International Children's Accelerometry Database (ICAD, 1998-2009) was included. Accelerometry in 19,502 participants aged 3-18 years, together with covariate and outcome data, was pooled and harmonized. Iso-temporal substitution in linear regression models provided beta coefficients (95%CI) for substitution of 1 h/day PST (sedentary time accumulated in bouts > 15 min) with non-PST, LIPA or MVPA, for each study, which were meta-analysed.

resultsModelling substitution of 1 h/day of PST with non-PST suggested reductions in standardized BMI, but estimates were > 7-fold greater for substitution with MVPA (- 0.44 (- 0.62; - 0.26) SD units). Only reallocation by MVPA was beneficial for waist circumference (- 3.07 (- 4.47; - 1.68) cm), systolic blood pressure (- 1.53 (- 2.42; - 0.65) mmHg) and clustered cardio-metabolic risk (- 0.18 (- 0.3; - 0.1) SD units). For HDL-cholesterol and diastolic blood pressure, substitution with LIPA was beneficial; however, substitution with MVPA showed 5-fold stronger effect estimates (HDL-cholesterol: 0.05 (0.01; 0.10) mmol/l); diastolic blood pressure: - 0.81 (- 1.38; - 0.24) mmHg).

conclusionsReplacement of PST with MVPA may be the preferred scenario for behaviour change, given beneficial associations with a wide range of cardio-metabolic risk factors (including adiposity, HDL-cholesterol, blood pressure and clustered cardio-metabolic risk). Effect estimates are clinically relevant (e.g. an estimated reduction in waist circumference of ≈1.5 cm for 30 min/day replacement). Replacement with LIPA could be beneficial for some of these risk factors, however with substantially lower effect estimates.

Indexed as

Sedentary BehaviorAccelerometryAdolescentBlood PressureCardiovascular DiseasesChildChild, PreschoolCholesterol, HDLCross-Sectional StudiesExerciseHumansRisk FactorsWaist CircumferenceCholesterol, HDLALSPACCardio-metabolicICADIso-temporalPhysical activityProlonged sitting

Identifiers

PMID31672163
PMCPMC6822444
OpenAlexW2987021215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.