Evidence mapPaperPMID 23799991Full record

Trial reportBMC pediatrics2013

Correlations among adiposity measures in school-aged children.

Caroline E Boeke, Emily Oken, Ken P Kleinman, Sheryl L Rifas-Shiman, Elsie M Taveras, Matthew W Gillman

Abstract readClinical Trial
In one paragraph

Trial report in BMC pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
field-weighted citation impact
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

86 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Do high school experiences shape midlife body weight?Social science & medicine (1982) · 2025
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  9. Cohort Profile Update: Project Viva mothers.International journal of epidemiology · 2023
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26 more citing papers are in PubMed but not listed here.

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.

Caroline E BoekeDepartment of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA. caroline.boeke@mail.harvard.edu
Emily Oken
Ken P Kleinman
Sheryl L Rifas-Shiman
Elsie M Taveras
Matthew W Gillman

Funding

NUTRITION IN PREGNANCY, BIRTH WEIGHT, &CHILDHOOD ASTHMAR01HL064925 · HARVARD PILGRIM HEALTH CARE, INC. · 2000 to 2004
$4.4M
PROGRAM FOR TRAINING IN CANCER EPIDEMIOLOGYT32CA009001 · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · 1985 to 2025
$4.4M
Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · HARVARD PILGRIM HEALTH CARE, INC. · 1998 to 2025
$3.6M
NCI NIH HHS T32 CA 09001NHLBI NIH HHS R01 HL 064925NICHD NIH HHS K24 HD 069408NICHD NIH HHS K24 HD069408NICHD NIH HHS R01 HD 034568
6 · The paper itself

Abstract

backgroundGiven that it is not feasible to use dual x-ray absorptiometry (DXA) or other reference methods to measure adiposity in all pediatric clinical and research settings, it is important to identify reasonable alternatives. Therefore, we sought to determine the extent to which other adiposity measures were correlated with DXA fat mass in school-aged children.

methodsIn 1110 children aged 6.5-10.9 years in the pre-birth cohort Project Viva, we calculated Spearman correlation coefficients between DXA (n=875) and other adiposity measures including body mass index (BMI), skinfold thickness, circumferences, and bioimpedance. We also computed correlations between lean body mass measures.

results50.0% of the children were female and 36.5% were non-white. Mean (SD) BMI was 17.2 (3.1) and total fat mass by DXA was 7.5 (3.9) kg. DXA total fat mass was highly correlated with BMI (r(s)=0.83), bioimpedance total fat (r(s)=0.87), and sum of skinfolds (r(s)=0.90), and DXA trunk fat was highly correlated with waist circumference (r(s)=0.79). Correlations of BMI with other adiposity indices were high, e.g., with waist circumference (r(s)=0.86) and sum of subscapular plus triceps skinfolds (r(s)=0.79). DXA fat-free mass and bioimpedance fat-free mass were highly correlated (r(s)=0.94).

conclusionsIn school-aged children, BMI, sum of skinfolds, and other adiposity measures were strongly correlated with DXA fat mass. Although these measurement methods have limitations, BMI and skinfolds are adequate surrogate measures of relative adiposity in children when DXA is not practical.

Indexed as

Absorptiometry, PhotonAdiposityBody Mass IndexSkinfold ThicknessWaist CircumferenceChildCohort StudiesElectric ImpedanceFemaleHumansLinear ModelsMaleObesityObserver VariationProspective StudiesROC Curve

Identifiers

PMID23799991
PMCPMC3693882

What Socratic holds

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Registered trials

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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 Socratic graph.