Evidence map›Paper›PMID 23887061›Full record

ArticleInternational journal of obesity (2005)2014

Vigorous physical activity and longitudinal associations with cardiometabolic risk factors in youth.

V Carson, R L Rinaldi, B Torrance, K Maximova, G D C Ball, S R Majumdar, R C Plotnikoff, P Veugelers, N G Boulé, P Wozny and 5 more

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 11 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

76 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  9. 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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16 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

15 authors.

V CarsonFaculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada.
R L RinaldiFaculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada.
B TorranceEver Active Schools, Edmonton, Alberta, Canada.
K MaximovaSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.
G D C BallDepartment of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
S R Majumdar1] School of Public Health, University of Alberta, Edmonton, Alberta, Canada [2] Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
R C PlotnikoffPriority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Newcastle, New South Wales, Australia.
P VeugelersSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.
N G BouléFaculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada.
P WoznyBlack Gold Regional Schools, Leduc, Alberta, Canada.
L McCargarFaculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, Alberta, Canada.
S DownsMenzies Centre for Health Policy, University of Sydney, Sydney, New South Wales, Australia.
C DaymontManitoba Institute of Child Health, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada.
R LewanczukDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada.
J McGavockManitoba Institute of Child Health, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

objectiveTo examine the longitudinal associations between different physical activity (PA) intensities and cardiometabolic risk factors among a sample of Canadian youth.

methodsThe findings are based on a 2-year prospective cohort study in a convenience sample of 315 youth aged 9-15 years at baseline from rural and urban schools in Alberta, Canada. Different intensities (light, moderate and vigorous) of PA were objectively assessed with Actical accelerometers. The main outcome measures were body mass index (BMI) z-score, waist circumference, cardiorespiratory fitness and systolic blood pressure at 2-year-follow-up and conditional BMI z-score velocity. A series of linear regression models were conducted to investigate the associations after adjusting for potential confounders.

resultsAt follow-up, cardiorespiratory fitness increased (quartile 1 vs quartile 4=43.3 vs 50.2; P(trend)<0.01) and waist circumference decreased (quartile 1 vs quartile 4=79.0 vs 72.6; P(trend)=0.04; boys only) in a dose-response manner across quartiles of baseline vigorous-intensity PA. A similar trend was observed for systolic blood pressure (quartile 1 vs quartile 4=121.8 vs 115.3; P(trend)=0.07; boys only). Compared with quartile 1 of vigorous-intensity PA, BMI z-score at follow-up and conditional BMI z-score velocity were significantly lower in the quartile 2 and 3 (P<0.05). Waist circumference at follow-up also decreased (quartile 1 vs quartile 4=75.3 vs 73.8; P(trend)=0.04) across quartiles of baseline moderate-intensity PA.

conclusionsTime spent in vigorous-intensity PA was associated with several positive health outcomes 2 years later. These findings suggest that high-intensity activities in youth help to reduce the risk for several chronic diseases.

Indexed as

ExercisePhysical FitnessAccelerometryAdolescentAlbertaBlood PressureBody CompositionBody Mass IndexCanadaCardiovascular DiseasesChildFemaleFollow-Up StudiesHumansLogistic ModelsMale

Identifiers

PMID23887061

What OpenQuestion holds

Textmetadata
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.