Evidence map›Paper›PMID 29626333›Full record

ArticleSports medicine (Auckland, N.Z.)2018

Cross-Sectional Associations of Reallocating Time Between Sedentary and Active Behaviours on Cardiometabolic Risk Factors in Young People: An International Children's Accelerometry Database (ICAD) Analysis.

Bjørge Herman Hansen, Sigmund Alfred Anderssen, Lars Bo Andersen, Maria Hildebrand, Elin Kolle, Jostein Steene-Johannessen, Susi Kriemler, Angie S Page, Jardena J Puder, John J Reilly and 5 more

Abstract read
In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
–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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Gender differences in the distribution of children's physical activity: evidence from nine countries.The international journal of behavioral nutrition and physical activity · 2023
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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

15 authors.

Bjørge Herman HansenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, 0806, Oslo, Norway. bjorge.herman.hansen@nih.no.
Sigmund Alfred AnderssenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, 0806, Oslo, Norway.
Lars Bo AndersenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, 0806, Oslo, Norway.
Maria HildebrandDepartment of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, 0806, Oslo, Norway.
Elin KolleDepartment of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, 0806, Oslo, Norway.
Jostein Steene-JohannessenDepartment of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, 0806, Oslo, Norway.
Susi KriemlerEpidemiology, Biostatistics and Prevention Institute, University of Zürich, Zurich, Switzerland.
Angie S PageCentre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.
Jardena J PuderService of Endocrinology, Diabetes and Metabolism, and Division of Pediatric Endocrinology, Diabetes and Obesity, Lausanne University Hospital, Lausanne, Switzerland.
John J ReillyPhysical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
Luis B SardinhaCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Esther M F van SluijsCentre for Diet and Activity Research (CEDAR) and MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Niels WedderkoppDepartment of Regional Health Research, University of Southern Denmark, Odense, Denmark.
Ulf EkelundDepartment of Sports Medicine, Norwegian School of Sport Sciences, Ullevål Stadion, 0806, Oslo, Norway.
International Children’s Accelerometry Database (ICAD) Collaborators

Funding

Medical Research Council G0701877Medical Research Council G9815508Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/7Medical Research Council MR/K023187/1
6 · The paper itself

Abstract

introductionSedentary time and time spent in various intensity-specific physical activity are co-dependent, and increasing time spent in one behaviour requires decreased time in another.

objectiveThe aim of the present study was to examine the theoretical associations with reallocating time between categories of intensities and cardiometabolic risk factors in a large and heterogeneous sample of children and adolescents.

methodsWe analysed pooled data from 13 studies comprising 18,200 children and adolescents aged 4-18 years from the International Children's Accelerometry Database (ICAD). Waist-mounted accelerometers measured sedentary time, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Cardiometabolic risk factors included waist circumference (WC), systolic blood pressure (SBP), fasting high- and low-density lipoprotein cholesterol (HDL-C and LDL-C), triglycerides, insulin, and glucose. Associations of reallocating time between the various intensity categories with cardiometabolic risk factors were explored using isotemporal substitution modelling.

resultsReplacing 10 min of sedentary time with 10 min of MVPA showed favourable associations with WC, SBP, LDL-C, insulin, triglycerides, and glucose; the greatest magnitude was observed for insulin (reduction of 2-4%), WC (reduction of 0.5-1%), and triglycerides (1-2%). In addition, replacing 10 min of sedentary time with an equal amount of LPA showed beneficial associations with WC, although only in adolescents.

conclusionsReplacing sedentary time and/or LPA with MVPA in children and adolescents is favourably associated with most markers of cardiometabolic risk. Efforts aimed at replacing sedentary time with active behaviours, particularly those of at least moderate intensity, appear to be an effective strategy to reduce cardiometabolic risk in young people.

Indexed as

ExerciseSedentary BehaviorAccelerometryAdolescentBiomarkersBlood PressureCardiovascular DiseasesChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleRisk FactorsTime FactorsWaist CircumferenceBiomarkers

Identifiers

PMID29626333
PMCPMC6132434

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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.