Evidence map›Paper›PMID 34542044›Full record

ArticleJournal of pediatric rehabilitation medicine2021

Accuracy of body mass index in categorizing weight status in children with intellectual and developmental disabilities.

Michele Polfuss, Bethany Forseth, Dale A Schoeller, Chiang-Ching Huang, Andrea Moosreiner, Paula E Papanek, Kathleen J Sawin, Kimberley Zvara, Linda Bandini

Open access · greenAbstract read
In one paragraph

Article in Journal of pediatric rehabilitation medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 6 institutions in 1 country.

Michele PolfussCollege of Nursing, University of Wisconsin - Milwaukee, Milwaukee, WI, USA.
Bethany ForsethCollege of Nursing, University of Wisconsin - Milwaukee, Milwaukee, WI, USA.
Dale A SchoellerBiotech Center and Nutritional Sciences, University of Wisconsin - Madison, Madison, WI, USA.
Chiang-Ching HuangJoseph J. Zilber School of Public Health, University of Wisconsin - Milwaukee, Milwaukee, WI, USA.
Andrea MoosreinerClinical and Translational Science Institute of Southeastern, Medical College of Wisconsin, Wisconsin, Milwaukee, WI, USA.
Paula E PapanekDepartment of Physical Therapy, Marquette University, Milwaukee, WI, USA.
Kathleen J SawinCollege of Nursing, University of Wisconsin - Milwaukee, Milwaukee, WI, USA.
Kimberley ZvaraPhysical Medicine and Rehabilitation, Medical College of Wisconsin, Milwaukee, WI, USA.
Linda BandiniPediatrics, Eunice Kennedy Shriver Center, University of Massachusetts Medical School, Boston, MA, USA.
University of Wisconsin–Milwaukee · USBoston University · USChildren's Hospital of Wisconsin · USMarquette University · USMedical College of Wisconsin · USUniversity of Wisconsin–Madison · US

Funding

Clincal and Translational Science AwardUL1TR000055 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI SHAKER, REZA NONE · 2012 to 2015
$11.3M
Self-Management Science Center at UWMP20NR015339 · NINR · UNIVERSITY OF WISCONSIN MILWAUKEE · PI SCHIFFMAN, RACHEL F. · 2014 to 2018
$1.4M
NCATS NIH HHS UL1 TR000055NCBDD CDC HHS U01 DD001240NINR NIH HHS P20 NR015339
6 · The paper itself

Abstract

purposeTo identify the accuracy of Body Mass Index (BMI) to categorize body weight in a sample of children with spina bifida and Down syndrome as compared to typically developing peers.

methodsA secondary analysis of 32 children with spina bifida, Down syndrome or no chronic illness. A calculated BMI was plotted on the Centers for Disease Control and Prevention age- and sex-specific BMI growth charts to determine each child's weight status. Percentage of body fat, obtained by labeled water, was plotted on two different body fat percentile reference curves, one derived from a whole body measure (DXA) of body fat and one by skin-fold measure. Differences in weight categories between calculated BMI and body fat percentile curves were reported.

resultsThe calculated BMI for children with a disability had significant misclassifications as a screening tool for body fat when compared to children without a disability. Misclassifications were increased with the body fat percentile reference curve derived from skin-fold measures and for children who primarily used a wheelchair.

conclusionThe current recommendation to use BMI to categorize weight status is not useful for many children with disabilities. Further research to identify an alternative pragmatic strategy is necessary.

Indexed as

Developmental DisabilitiesDown SyndromeAdipose TissueBody Mass IndexBody WeightChildFemaleHumansMaleObesitybody mass indexDevelopmental disabilitiesdown syndromeobesityspina bifida

Identifiers

PMID34542044
PMCPMC9105647
OpenAlexW3200970934

What OpenQuestion holds

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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.