Evidence map›Paper›PMID 27413656›Full record

ArticlePreventive medicine reports2016

Age-related patterns of vigorous-intensity physical activity in youth: The International Children's Accelerometry Database.

Kirsten Corder, Stephen J Sharp, Andrew J Atkin, Lars B Andersen, Greet Cardon, Angie Page, Rachel Davey, Anders Grøntved, Pedro C Hallal, Kathleen F Janz and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 4 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

62 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Longitudinal changes in moderate-to-vigorous-intensity physical activity in children and adolescents: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020
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  13. Developmental trends in young children's device-measured physical activity and sedentary behaviour.The international journal of behavioral nutrition and physical activity · 2024
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  18. 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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2 more citing papers are in PubMed but not listed here.

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

17 authors.

Kirsten CorderMRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
Stephen J SharpMRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
Andrew J AtkinMRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
Lars B AndersenDepartment of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark; Norwegian School of Sport Science, Oslo, Norway.
Greet CardonDepartment of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Angie PageCentre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.
Rachel DaveyCentre for Research and Action in Public Health, University of Canberra, Canberra, Australia.
Anders GrøntvedDepartment of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Pedro C HallalFederal University of Pelotas, Pelotas, Brazil.
Kathleen F JanzDepartment of Health and Human Physiology, University of Iowa, Iowa City, US.
Katarzyna KordasSchool of Social and Community Medicine, University of Bristol, UK.
Susi KriemlerEpidemiology, Biostatistics and Public Health Institute, University of Zürich, Switzerland.
Jardena J PuderService of Endocrinology, Diabetes and Metabolism, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Division of Pediatric Endocrinology, Diabetology and Obesity, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
Luis B SardinhaExercise and Health Laboratory, Faculty of Human Movement, Technical University of Lisbon, Lisbon, Portugal.
Ulf EkelundMRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom; Norwegian School of Sport Science, Oslo, Norway.
Esther M F van SluijsMRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
International Children's Accelerometry Database (ICAD) Collaborators

Funding

Medical Research Council G0701877Medical Research Council MC_UP_1001/2Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/7Medical Research Council MR/K023187/1Wellcome Trust
6 · The paper itself

Abstract

Physical activity declines during youth but most evidence reports on combined moderate and vigorous-intensity physical activity. We investigated how vigorous-intensity activity varies with age. Cross-sectional data from 24,025 participants (5.0-18.0 y; from 20 studies in 10 countries obtained 2008-2010) providing ≥ 1 day accelerometer data (International Children's Accelerometry Database (ICAD)). Linear regression was used to investigate age-related patterns in vigorous-intensity activity; models included age (exposure), adjustments for monitor wear-time and study. Moderate-intensity activity was examined for comparison. Interactions were used to investigate whether the age/vigorous-activity association differed by sex, weight status, ethnicity, maternal education and region. A 6.9% (95% CI 6.2, 7.5) relative reduction in mean vigorous-intensity activity with every year of age was observed; for moderate activity the relative reduction was 6.0% (5.6%, 6.4%). The age-related decrease in vigorous-intensity activity remained after adjustment for moderate activity. A larger age-related decrease in vigorous activity was observed for girls (- 10.7%) versus boys (- 2.9%), non-white (- 12.9% to - 9.4%) versus white individuals (- 6.1%), lowest maternal education (high school (- 2.0%)) versus college/university (ns) and for overweight/obese (- 6.1%) versus healthy-weight participants (- 8.1%). In addition to larger annual decreases in vigorous-intensity activity, overweight/obese individuals, girls and North Americans had comparatively lower average vigorous-intensity activity at 5.0-5.9 y. Age-related declines in vigorous-intensity activity during youth appear relatively greater than those of moderate activity. However, due to a higher baseline, absolute moderate-intensity activity decreases more than vigorous. Overweight/obese individuals, girls, and North Americans appear especially in need of vigorous-intensity activity promotion due to low levels at 5.0-5.9 y and larger negative annual differences.

Indexed as

AdolescentChildEpidemiologyICADMotor activity

Identifiers

PMID27413656
PMCPMC4929125

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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.