Evidence map›Paper›PMID 22183088›Full record

ArticleEuropean journal of applied physiology2012

Muscular fitness and clustered cardiovascular disease risk in Australian youth.

Costan G Magnussen, Michael D Schmidt, Terence Dwyer, Alison Venn

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 16% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Impaired Cardiorespiratory Fitness and Muscle Strength in Children with Normal-Weight Obesity.International journal of environmental research and public health · 2020
    Article
  12. Article
  13. The association between physical fitness and health in a nationally representative sample of Canadian children and youth aged 6 to 17 years.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors at 3 institutions in 3 countries.

Costan G MagnussenMenzies Research Institute Tasmania, University of Tasmania, MS1, 17 Liverpool Street, Hobart, 7000, Australia. cmagnuss@utas.edu.au
Michael D Schmidt
Terence Dwyer
Alison Venn
University of Tasmania · AUMurdoch Children's Research Institute · AUUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low cardiorespiratory fitness (CRF) is a risk factor for cardiovascular disease (CVD) but the association of muscular fitness phenotypes (strength, endurance and power) on CVD risk in youth has not been examined. We examined the cross-sectional association between muscular fitness phenotypes with individual and clustered CVD risk factors and determined if any potential associations are independent of CRF. Participants were 1,642 youth aged 9, 12, and 15 years from the Australian Schools Health and Fitness Survey that had muscular strength (dynamometer), power (standing long-jump), and endurance (push-ups) as well as CRF (1.6 km run-time) measured. Outcomes included established risk factors (body mass index, waist circumference, blood lipids and blood pressure) and a clustered CVD risk-score. Muscular strength, endurance, and power were inversely associated with clustered CVD risk (all P < 0.05). After adjustment for body mass index, the association remained for muscular endurance and power (all P ≤ 0.001), but not strength. Muscular power was inversely related to prevalence of clustered CVD risk (≥80th percentile) within low (P trend < 0.001), moderate (Ptrend < 0.001), and high (Ptrend = 0.001) CRF categories. Among youth, low muscular fitness levels as well as low CRF should be avoided for primary CVD prevention.

Indexed as

Muscle ContractionPhysical FitnessAdolescentAge FactorsAustraliaBlood PressureBody Mass IndexCardiovascular DiseasesChildCluster AnalysisExercise TestFemaleHealth SurveysHumansLinear ModelsLipidsLipids

Identifiers

PMID22183088
OpenAlexW1985631166

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.