Evidence map›Paper›PMID 22990032›Full record

ArticleThe American journal of clinical nutrition2012

Effects of trimming weight-for-height data on growth-chart percentiles.

Katherine M Flegal, Margaret D Carroll, Cynthia L Ogden

Abstract readComparative Study
In one paragraph

Article in The American journal of clinical nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. BMI-for-age percentile curves for older adults.Obesity (Silver Spring, Md.) · 2025
    Article
  2. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Katherine M FlegalNational Center for Health Statistics, CDC, Hyattsville, MD, USA. kmf2@cdc.gov
Margaret D Carroll
Cynthia L Ogden

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundBefore estimating smoothed percentiles of weight-for-height and BMI-for-age to construct the WHO growth charts, WHO excluded observations that were considered to represent unhealthy weights for height.

objectiveThe objective was to estimate the effects of similar data trimming on empirical percentiles from the CDC growth-chart data set relative to the smoothed WHO percentiles for ages 24-59 mo.

designWe used the nationally representative US weight and height data from 1971 to 1994, which was the source data for the 2000 CDC growth charts. Trimming cutoffs were calculated on the basis of weight-for-height for 9722 children aged 24-71 mo. Empirical percentiles for 7315 children aged 24-59 mo were compared with the corresponding smoothed WHO percentiles.

resultsBefore trimming, the mean empirical percentiles for weight-for-height in the CDC data set were higher than the corresponding smoothed WHO percentiles. After trimming, the mean empirical 95th and 97th percentiles of weight-for-height were lower than the WHO percentiles, and the proportion of children in the CDC data set above the WHO 95th percentile decreased from 7% to 5%. The findings were similar for BMI-for-age. However, for weight-for-age, which had not been trimmed by the WHO, the empirical percentiles before trimming agreed closely with the upper percentiles from the WHO charts.

conclusionWHO data-trimming procedures may account for some of the differences between the WHO growth charts and the 2000 CDC growth charts.

Indexed as

Body HeightBody WeightData Interpretation, StatisticalGrowth ChartsAnthropometryBody Mass IndexCenters for Disease Control and Prevention, U.S.Child, PreschoolFemaleHumansMaleUnited StatesWorld Health Organization

Identifiers

PMID22990032
PMCPMC4734980

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