Evidence map›Paper›PMID 31439056›Full record

ArticleThe British journal of nutrition2020

Distance and percentage distance from median BMI as alternatives to BMI

David S Freedman, Jessica G Woo, Cynthia L Ogden, Ji H Xu, Tim J Cole

Open access · greenAbstract read
In one paragraph

Article in The British journal of nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.7field-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

33 citing papers in PubMed, 49 citations in OpenAlex.

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  15. Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity.International journal of environmental research and public health · 2024
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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

5 authors at 5 institutions in 2 countries.

David S FreedmanDivision of Nutrition, Physical Activity and Obesity, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Jessica G WooDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229-3039, USA.
Cynthia L OgdenNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD 20782, USA.
Ji H XuDivision of Cardiology, LSU Health New Orleans Medical Center, New Orleans, LA 70112, USA.
Tim J ColePopulation, Policy and Practice Programme, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.
Centers for Disease Control and Prevention · USLouisiana State University Health Sciences Center New Orleans · USNational Center for Health Statistics · USUniversity College London · GBUniversity of Cincinnati Medical Center · US

Funding

Childhood CV Risk and Adult CVD Outcomes: an International Long-term Follow-upR01HL121230 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI BURNS, TRUDY L, CHEN, WEI · 2015 to 2019
$13.3M
EVOLUTION OF CARDIOVASCULAR RISK WITH NORMAL AGINGR01AG016592 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, WEI · 2000 to 2015
$11.7M
Intramural CDC HHS CC999999Medical Research Council MR/R010692/1NHLBI NIH HHS R01 HL121230NIA NIH HHS R01 AG016592
6 · The paper itself

Abstract

BMI z (BMIz) score based on the Centers for Disease Control and Prevention growth charts is widely used, but it is inaccurate above the 97th percentile. We explored the performance of alternative metrics based on the absolute distance or % distance of a child's BMI from the median BMI for sex and age. We used longitudinal data from 5628 children who were first examined <12 years to compare the tracking of three BMI metrics: distance from median, % distance from median and % distance from median on a log scale. We also explored the effects of adjusting these metrics for age differences in the distribution of BMI. The intraclass correlation coefficient (ICC) was used to compare tracking of the metrics. Metrics based on % distance (whether on the original or log scale) yielded higher ICCs compared with distance from median. The ICCs of the age-adjusted metrics were higher than that of the unadjusted metrics, particularly among children who were (1) overweight or had obesity, (2) younger and (3) followed for >3 years. The ICCs of the age-adjusted metrics were also higher compared with that of BMIz among children who were overweight or obese. Unlike BMIz, these alternative metrics do not have an upper limit and can be used for assessing BMI in all children, even those with very high BMIs. The age-adjusted % from median (on a log or linear scale) works well for all ages, while unadjusted % from median is better limited to older children or short follow-up periods.

Indexed as

Body Mass IndexAdolescentAnthropometryChildChild, PreschoolCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleReference ValuesUnited StatesYoung AdultBMIChildrenMetricsObesity

Identifiers

PMID31439056
PMCPMC7035962
OpenAlexW2969212872

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.