Evidence map›Paper›PMID 28277404›Full record

ArticleMedicine and science in sports and exercise2017

Associations of Vigorous-Intensity Physical Activity with Biomarkers in Youth.

Justin B Moore, Michael W Beets, Keith Brazendale, Steven N Blair, Russell R Pate, Lars B Andersen, Sigmund A Anderssen, Anders Grøntved, Pedro C Hallal, Katarzyna Kordas and 3 more

Abstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Body Weight Misperception and Its Association with Unhealthy Eating Behaviors among Adolescents in China.International journal of environmental research and public health · 2018
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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

13 authors.

Justin B Moore1Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC; 2Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC; 3Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC; 4Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, DENMARK; 5Department of Sport Medicine, Norwegian School of Sport Science, Oslo, NORWAY; 6Federal University of Pelotas, Pelotas, BRAZIL; 7School of Social and Community Medicine, University of Bristol, Bristol, UNITED KINGDOM; 8Epidemiology, Biostatistics and Public Health Institute, University of Zürich, Zürich, SWITZERLAND; 9Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UNITED KINGDOM; and 10Exercise and Health Laboratory, CIPER, Faculty of Human Kinetics, University of Lisbon, Cruz-Quebrada, PORTUGAL.
Michael W Beets
Keith Brazendale
Steven N Blair
Russell R Pate
Lars B Andersen
Sigmund A Anderssen
Anders Grøntved
Pedro C Hallal
Katarzyna Kordas
Susi Kriemler
John J Reilly
Luis B Sardinha

Funding

British Heart FoundationCancer Research UKChief Scientist OfficeDepartment of HealthMedical Research Council G0701877Medical Research Council MC_U106179473Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/7
6 · The paper itself

Abstract

introductionPhysical activity (PA) conveys known cardiometabolic benefits to youth, but the contribution of vigorous-intensity PA (VPA) to these benefits is unknown. Therefore, we sought to determine (a) the associations between VPA and cardiometabolic biomarkers independent of moderate-intensity PA (MPA) and time sedentary and (b) the accelerometer cut point that best represents the threshold for health-promoting VPA in youth.

methodsData from the International Children's Accelerometry Database (ICAD) were analyzed in 2015. The relationship between cardiometabolic biomarkers and four categories of VPA estimated via three sets of cut points were examined using isotemporal substitution quantile regression modeling at the 10th, 25th, 50th, 75th, and 90th percentile of the distribution of each biomarker, separately. Age, sex, accelerometer wear time, sedentary time, and MPA were controlled for while allowing substitution for light-intensity PA. Data from 11,588 youth (4-18 yr) from 11 ICAD studies (collected 1998-2009) were analyzed.

resultsOnly 32 of 360 significant associations were observed. Significant, negative relationships were observed for VPA with waist circumference and insulin. Replacing light-intensity PA with VPA (corresponding to at the 25th to 90th percentiles of VPA) was associated with 0.67 (-1.33 to -0.01; P = 0.048) to 7.30 cm (-11.01 to -3.58; P < 0.001) lower waist circumference using Evenson and ICAD cut points (i.e., higher counts per minute). VPA levels were associated with 12.60 (-21.28 to -3.92; P = 0.004) to 27.03 pmol·L (-45.03 to -9.03; P = 0.003) lower insulin levels at the 75th to 90th percentiles using Evenson and ICAD cut points when substituted for light PA.

conclusionsSubstituting light PA with VPA was inversely associated with waist circumference and insulin. However, VPA was inconsistently related to the remaining biomarkers after controlling for time sedentary and MPA.

Indexed as

AccelerometryAdolescentBiomarkersBlood PressureChildChild, PreschoolCholesterolExerciseFemaleHumansInsulinMalePhysical ExertionSedentary BehaviorTriglyceridesWaist CircumferenceBiomarkersCholesterolInsulinTriglycerides

Identifiers

PMID28277404
PMCPMC5472198

What OpenQuestion holds

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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.