Evidence map›Paper›PMID 27496270›Full record

ArticleThe Journal of pediatrics2016

Utility of Body Mass Index in Identifying Excess Adiposity in Youth Across the Obesity Spectrum.

Justin R Ryder, Alexander M Kaizer, Kyle D Rudser, Stephen R Daniels, Aaron S Kelly

Abstract read
In one paragraph

Article in The Journal of pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

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  11. Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents.International journal of environmental research and public health · 2021
    Article
  12. Article
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  15. Ideal Cardiovascular Health and Adiposity: Implications in Youth.Journal of the American Heart Association · 2018
    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

5 authors at 3 institutions in 1 country.

Justin R RyderDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN.
Alexander M KaizerDivision of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN.
Kyle D RudserDivision of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN.
Stephen R DanielsDepartment of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, CO.
Aaron S KellyDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN; Department of Medicine, University of Minnesota Medical School, Minneapolis, MN.
University of Minnesota · USUniversity of Minnesota Medical Center · USChildren's Hospital Colorado · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
Longitudinal assessment of novel biomarkers for predicting cardiovascular disease in youthF32HL127851 · NHLBI · UNIVERSITY OF MINNESOTA · PI RYDER, JUSTIN R. · 2015 to 2016
$61k
NCATS NIH HHS UL1 TR002494NHLBI NIH HHS F32 HL127851
6 · The paper itself

Abstract

objectivesTo determine the proportion of youth within a given body mass index (BMI) obesity category with excess adiposity using dual energy x-ray absorptiometry (DXA). Furthermore, to examine whether mean differences in cardiometabolic risk factors based upon various excess adiposity cutpoints were present. STUDY

designDXA data from the National Health and Nutrition Examination Survey 1999-2006 (n = 10 465; 8-20 years of age) were used for this analysis. Obesity categories were defined using Centers for Disease Control and prevention definitions for age and sex. Excess adiposity was defined using cohort-specific cutpoints at 75th, 85th, and 90th percentiles of DXA body fat (%) by age and sex using quantile regression models. Additionally, we examined differences in cardiometabolic risk factors among youth (BMI percentile >85th) above and below various excess adiposity cutpoints.

resultsNearly all youth with class 3 obesity (100% male, 100% female; 97% male, 99% female; and 95% male, 96% female; using the 75th, 85th, and 90th DXA percentiles, respectively) and a high proportion of those with class 2 obesity (98% male, 99% female; 92% male, 91% female; and 76% male, 76% female) had excess adiposity. Significant discordance was observed between BMI categorization and DXA-derived excess adiposity among youth with class 1 obesity or overweight. Elevated cardiometabolic risk factors were present in youth with excess adiposity, regardless of the cutpoint used.

conclusionsBMI correctly identifies excess adiposity in most youth with class 2 and 3 obesity but a relatively high degree of discordance was observed in youth with obesity and overweight. Cardiometabolic risk factors are increased in the presence of excess adiposity, regardless of the cutpoint used.

Indexed as

AdiposityBody Mass IndexAbsorptiometry, PhotonAdolescentCardiovascular DiseasesChildFemaleHumansMaleMetabolic DiseasesPediatric ObesityRisk FactorsYoung Adultadipositychildrendual energy x-ray absorptiometryNHANESobesity

Identifiers

PMID27496270
PMCPMC5905327
OpenAlexW2486259783

What OpenQuestion holds

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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.