Cited by 77Physical Activity and HealthObesity, Physical Activity, DietSports and Physical Education Studies

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

Open access
the International Children’s Accelerometry Database (ICAD) Collaborators, Hansen, Bjørge Herman, Anderssen, Sigmund Alfred, Andersen, Lars Bo, Hildebrand, Maria, Kolle, Elin, Steene-Johannessen, Jostein, Kriemler, Susi +7 more·2018·Sports Medicine

Abstract

INTRODUCTION: Sedentary 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. OBJECTIVE: The 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. METHODS: We 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. RESULTS: Replacing 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. CONCLUSIONS: Replacing 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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s40279-018-0909-1

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • By replacing sedentary time and/or light-intensity physical activity with moderate to vigorous-intensity physical activity, children and adolescents may lower cardiometabolic risk factors, including waist circumference, systolic blood pressure, fasting high and low-density lipoprotein cholesterol, triglycerides, insulin and glucose.

    “There is evidence to suggest that by replacing sedentary time and/or light-intensity physical activity with moderate to vigorous-intensity physical activity, children and adolescents may lower cardiometabolic risk factors, including waist circumference, systolic blood pressure, fasting high and low-density lipoprotein cholesterol, triglycerides, insulin and glucose.61”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Collaborators, T. I. C. A. D. (., Hansen, B. H., Anderssen, S. A., Andersen, L. B., Hildebrand, M., Kolle, E., Steene-Johannessen, J., Kriemler, S., Page, A. S., Puder, J. J., Reilly, J. J., Sardinha, L. B., van Sluijs, E. M. F., Wedderkopp, N., & Ekelund, U.
Affiliations
  • Norwegian School of Sport Sciences (NO)
  • Western Norway University of Applied Sciences (NO)
  • University of Zurich (CH)
  • Centre Hospitalier Universitaire Vaudois (CH)
  • University of Strathclyde (GB)
  • University of Lisbon (PT)
  • University of Southern Denmark (DK)
Corresponding author
Hansen, Bjørge Herman
Venue
Sports Medicine
Published
2018-04-06
Volume
48
Issue
10
Pages
2401-2412
ISSN
  • 0112-1642 (ISSN-L)
  • 1179-2035
OpenAlex
W2796116312
Cited by
77
References
36
Citations by year
2026: 3 · 2025: 3 · 2024: 4 · 2023: 14 · 2022: 10 · 2021: 12 · 2020: 14 · 2019: 10 · 2018: 7
FWCI
7.39
Type
journal article
Language
en
Open access
Locations
  • Sports Medicine (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Bristol Research (University of Bristol) (publishedVersion, cc-by)
  • University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, cc-by)
  • SERVAL (Université de Lausanne) (publishedVersion, cc-by)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by)
  • IRIS (submittedVersion, cc-by)
  • Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
  • BIBSYS Brage (BIBSYS (Norway)) (submittedVersion)
  • BIBSYS Brage (BIBSYS (Norway)) (submittedVersion, cc-by)
  • Own your potential (DEAKIN) (submittedVersion)
  • Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by)
  • Figshare (submittedVersion)
  • Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
  • Explore Bristol Research (submittedVersion, cc-by)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by)
  • Apollo (cc-by)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • Wellcome Trust (102215, 087636/Z/08/Z)
  • Cancer Research UK
  • British Heart Foundation
  • Diabetes UK
  • Stroke Association
  • Loughborough University
  • University of Bristol
  • Norges Forskningsråd (#249932/F20, #249932)
  • Norges Idrettshøgskole
  • Medical Research Council (MC_UU_12015/7, 102215, MC_UU_12015, MR/K023187/1, MC_UU_12015/3, MC_PC_15018)
  • Economic and Social Research Council (ES/G007462/1)
  • World Cancer Research Fund
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Social Sciences › Life-span and Life-course Studies › Sports and Physical Education Studies
Keywords
sedentary behavior, moderate-to-vigorous physical activity, light physical activity, time reallocation, cardiometabolic risk factors, children and adolescents, waist circumference, systolic blood pressure, lipoproteins, insulin, triglycerides, glucose
MeSH terms
Adolescent, Blood Pressure, Cardiovascular Diseases, Child, Child, Preschool, Cross-Sectional Studies, Female, Humans, Male, Risk Factors, Time Factors, Biomarkers, Exercise, Waist Circumference, Sedentary Behavior, Accelerometry

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review