Evidence map›Paper›PMID 21070100›Full record

ArticleInternational journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity2011

Predicting cardiovascular risk in young adulthood from the metabolic syndrome, its component risk factors, and a cluster score in childhood.

Aaron S Kelly, Julia Steinberger, David R Jacobs, Ching-Ping Hong, Antoinette Moran, Alan R Sinaiko

Abstract readComparative Study
In one paragraph

Article in International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

51 citing papers in PubMed, 106 citations in OpenAlex.

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  5. Comprehensive cardiometabolic rehabilitation program for childhood obesity.Journal of health, population, and nutrition · 2026
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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

6 authors at 4 institutions in 2 countries.

Aaron S KellyDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA. kelly105@umn.edu
Julia Steinberger
David R Jacobs
Ching-Ping Hong
Antoinette Moran
Alan R Sinaiko
University of Minnesota Medical Center · USPediatric Nephrology of Alabama · USUniversity of Minnesota · USUniversity of Oslo · NO

Funding

YOUTH DRUG ABUSE, ADHD, AND RELATED DISRUPTIVE DISORDERSM01RR000400 · NCRR · UNIVERSITY OF MINNESOTA TWIN CITIES · PI BACHANOVA, VERONIKA S · 1985 to 2009
$33.7M
INSULIN AND BLOOD PRESSURE CHANGE DURING ADOLESCENCER01HL052851 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SINAIKO, ALAN R. · 1995 to 2007
$5.0M
NCRR NIH HHS M01 RR000400NCRR NIH HHS M01-RR-00400NHLBI NIH HHS HL-52851NHLBI NIH HHS R01 HL052851
6 · The paper itself

Abstract

objectiveThe value of metabolic syndrome (MetS) in childhood and adolescence and its stability into young adulthood have been questioned. This study compared the MetS in late childhood (mean age 13) versus a cluster score of the MetS components as predictors of young adult (mean age 22) cardiovascular risk.

methodsAnthropometrics, blood pressure, lipid profile, and insulin resistance (insulin clamp) were obtained in 265 individuals at mean ages 13 and 22. The MetS was defined dichotomously by current pediatric and adult criteria. The MetS cluster score used the average of deviates of the MetS components standardized to their means and standard deviations at mean age 13.

resultsThe MetS was rarely present at mean age 13 and did not predict MetS at mean age 22 but identified individuals who continued to have adverse levels of risk factors at mean age 22. In contrast to the standard MetS definition, the MetS cluster score tracked strongly and at mean age 22 was significantly higher in the individuals with MetS at mean age 13 (0.78 ± 0.71) than those without MetS at mean age 13 (0.09 ± 0.70, p <0.0001).

conclusionsAlthough the MetS at mean age 13, using the conventional definition, is not a reliable method for predicting the MetS at mean age 22, it does predict adverse levels of cardiovascular risk factors. A cluster score, using the MetS components as continuous variables, is more reliable in predicting young adult risk from late childhood.

Indexed as

AgingAdolescentAge FactorsAnthropometryBiomarkersBlood PressureBody Mass IndexCardiovascular DiseasesChildCluster AnalysisFemaleGlucose Clamp TechniqueHumansInsulinInsulin ResistanceLinear ModelsBiomarkersInsulinLipids

Identifiers

PMID21070100
PMCPMC3684392
OpenAlexW2134218881

What OpenQuestion holds

Textmetadata
LicenceTDM
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.