Evidence map›Paper›PMID 29021277›Full record

Observational studyJournal of the American Heart Association2017

Cardiometabolic Risk Variables in Preadolescent Children: A Factor Analysis.

Lee Stoner, Mark Weatherall, Paula Skidmore, Nicholas Castro, Sally Lark, James Faulkner, Michelle A Williams

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Childhood obesity: The threatening apprentice of the adiposity empire.Reviews in endocrine & metabolic disorders · 2025
    Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Social Jetlag and Cardiometabolic Risk in Preadolescent Children.Frontiers in cardiovascular medicine · 2021
    Article
  17. Article
  18. Observational
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

7 authors.

Lee StonerDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, NC dr.l.stoner@gmail.com.
Mark WeatherallDepartment of Medicine, University of Otago, Wellington, New Zealand.
Paula SkidmoreDepartment of Human Nutrition, University of Otago, Dunedin, New Zealand.
Nicholas CastroSchool of Sport and Exercise, Massey University, Wellington, New Zealand.
Sally LarkSchool of Sport and Exercise, Massey University, Wellington, New Zealand.
James FaulknerDepartment of Sport & Exercise, University of Winchester, United Kingdom.
Michelle A WilliamsDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerosis begins during preadolescence and is occurring at an accelerated rate. This acceleration has been linked to poor lifestyle behaviors and subsequent cardiometabolic complications. Although the clustering of cardiometabolic risk factors has been recognized for over 2 decades, previous studies in children have predominantly examined the relationships between atherosclerosis and individual cardiometabolic risk factors or have grouped together preadolescent and adolescent children. Further, no known studies have included glycated hemoglobin or central hemodynamic measures such as central systolic blood pressure and augmentation index. METHODS AND

resultsPrincipal component analysis was performed on a cross-sectional sample of 392 children (aged 9.5 years, 50% girls) from 3 representative sample sites across New Zealand. Four factors explained 60% of the variance in the measured variables. In order of variance explained, the factors were: blood pressure (central systolic blood pressure and peripheral systolic and diastolic blood pressure), adiposity (waist circumference, body mass index, and glycated hemoglobin), lipids (total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol), and vascular (augmentation index, heart rate, and fasting blood glucose).

conclusionsIn accordance with previous findings in adults and adolescents, one common factor is unlikely to define cardiometabolic health in preadolescent children. Each of the factors, except vascular, which was predominantly explained by augmentation index, are in agreement with previous findings in adolescents. An additional novel finding was that glycated hemoglobin and fasting blood glucose loaded onto different factors, supporting previous work suggesting that fasting blood glucose indicates short-term glycemic control, whereas glycated hemoglobin reflects chronic glycemic control. CLINICAL

trial registrationURL: www.anzctr.org.au/. ID: ACTRN12614000433606.

Indexed as

AdiposityAge FactorsAtherosclerosisBiomarkersBlood GlucoseBlood PressureBody Mass IndexChildCross-Sectional StudiesDyslipidemiasFactor Analysis, StatisticalFemaleGlycated HemoglobinHealth StatusHeart RateHumansBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanLipidscardiovascularglycated hemoglobinobesityprincipal components analysispulse wave analysis

Identifiers

PMID29021277
PMCPMC5721889

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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.