Evidence map›Paper›PMID 24685949›Full record

ArticlePediatrics2014

Strength capacity and cardiometabolic risk clustering in adolescents.

Mark D Peterson, William A Saltarelli, Paul S Visich, Paul M Gordon

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
7.4field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Body Fat Is Superior to Body Mass Index in Predicting Cardiometabolic Risk Factors in Adolescents.International journal of environmental research and public health · 2023
    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 4 institutions in 1 country.

Mark D PetersonDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan;
William A Saltarelli
Paul S Visich
Paul M Gordon
Baylor University · USCentral Michigan University · USUniversity of Michigan–Ann Arbor · USUniversity of New England · US

Funding

Secondary Muscle Pathology & Metabolic Dysregulation in Adult with Cerebral PalsyK01HD074706 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETERSON, MARK D · 2013 to 2017
$605k
NICHD NIH HHS K01 HD074706
6 · The paper itself

Abstract

objectivesThe purpose of this study was to determine the gender-specific independent association between muscular strength and cardiometabolic risk clustering in a large cohort (n = 1421) of children.

methodsPrincipal component analysis was used to determine the pattern of risk clustering and to derive a continuous aggregate score (MetScore) from various cardiometabolic risk components: percent body fat (%BF), fasting glucose, blood pressure, plasma triglycerides levels, and HDL-cholesterol. Gender-stratified risk and MetScore were assessed by using general linear models and logistic regression for differences between strength tertiles, as well as independent associations with age, BMI, estimated cardiorespiratory fitness (CRF), physical activity, and muscular strength (normalized for body mass).

resultsIn both boys (n = 670) and girls (n = 751), there were significant differences in cardiometabolic profiles across strength tertiles, such that stronger adolescents had lower overall risk. Age, BMI, cardiorespiratory fitness, physical activity participation, and strength were all individually correlated with multiple risk components, as well as the overall MetScore. However, in the adjusted model, only BMI (β = 0.30), physical inactivity (β = 0.30), and normalized strength capacity (β = -1.5) emerged as significant (P < .05) predictors of MetScore. %BF was the strongest loading coefficient within the principal component analysis-derived MetScore outcome.

conclusionsNormalized strength is independently associated with lower cardiometabolic risk in boys and girls. Moreover, %BF was associated with all cardiometabolic risk factors and carried the strongest loading coefficient. These findings bolster the importance of early strength acquisition and healthy body composition in childhood.

Indexed as

Adipose TissueMuscle StrengthAdolescentCardiovascular DiseasesCluster AnalysisFemaleHumansMaleMetabolic DiseasesRisk AssessmentSex Factorscardiometabolicchildrenmuscle strengthprincipal component analysis

Identifiers

PMID24685949
PMCPMC4530295
OpenAlexW2143926681

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.