Evidence map›Paper›PMID 30277029›Full record

ArticleObesity (Silver Spring, Md.)2018

Anthropometry Versus Imaging for Prediction of Inflammation Among Hispanic Girls.

Jennifer W Bea, Janet Funk, Megan Hetherington-Rauth, Betsy C Wertheim, Lucia Mosquiera, Ravina Thuraisingam, Vinson Lee, Robert Blew, Timothy Lohman, Denise J Roe and 1 more

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

11 authors.

Jennifer W BeaDepartment of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.
Janet FunkDepartment of Medicine, University of Arizona, Tucson, Arizona, USA.
Megan Hetherington-RauthDepartment of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.
Betsy C WertheimUniversity of Arizona Cancer Center, Tucson, Arizona, USA.
Lucia MosquieraDepartment of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.
Ravina ThuraisingamDepartment of Medicine, University of Arizona, Tucson, Arizona, USA.
Vinson LeeDepartment of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.ORCID 0000-0002-6981-3021
Robert BlewDepartment of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.
Timothy LohmanDepartment of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.
Denise J RoeUniversity of Arizona Cancer Center, Tucson, Arizona, USA.
Scott GoingDepartment of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
Exercise and Bone Development in Young GirlsR01HD050775 · NICHD · UNIVERSITY OF ARIZONA · PI GOING, SCOTT B · 2007 to 2011
$3.1M
Obesity and bone development in young girlsR01HD074565 · NICHD · UNIVERSITY OF ARIZONA · PI GOING, SCOTT B · 2013 to 2017
$2.6M
NCI NIH HHS P30 CA023074NICHD NIH HHS R01 HD050775NICHD NIH HHS R01 HD074565
6 · The paper itself

Abstract

objectiveThis study aimed to compare total and regional estimates of body composition, by direct and indirect techniques, for the optimal prediction of C-reactive protein (CRP) among young (aged 9-12 years) Hispanic girls (N = 232).

methodsStandard anthropometric techniques were used to measure height, weight, and waist circumference. Dual-energy X-ray absorptiometry (DXA) and peripheral quantitative computed tomography (pQCT) assessed body composition. Fasting serum CRP was measured by the AU5812 Clinical Chemistry Analyzer (Beckman Coulter, Brea, California). Associations between each total and regional body composition parameter and CRP were tested using linear regression (log-transformed, continuous CRP) and ordinal logistic regression (CRP < 1.0, ≥ 1.0-2.9, and ≥ 3.0 mg/L), controlling for maturation, dietary energy, physical activity, and medications.

resultsAll measures of total and regional body fat were positively associated with CRP (P < 0.0001) except for intermuscular fat by pQCT. There were no clinically relevant differences in their association with CRP between anthropometric (BMI; waist circumference) and DXA-derived (total fat and regional fat: trunk, gynoid, android fat, leg) measures of fat.

conclusionsMeasurement of body habitus in Hispanic girls, by multiple commonly available means, predicts CRP equally well.

Indexed as

AnthropometryChildC-Reactive ProteinFemaleHispanic or LatinoHumansInflammationLogistic ModelsC-Reactive Protein

Identifiers

PMID30277029
PMCPMC6171347

What OpenQuestion 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 OpenQuestion graph.