Evidence mapPaperPMID 37055482Full record

ArticleEuropean journal of clinical nutrition2023

Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants.

Ameyalli M Rodríguez-Cano, Omar Piña-Ramírez, Carolina Rodríguez-Hernández, Jennifer Mier-Cabrera, Gicela Villalobos-Alcazar, Guadalupe Estrada-Gutierrez, Arturo Cardona-Pérez, Alejandra Coronado-Zarco, Otilia Perichart-Perera

Abstract read
In one paragraph

Article in European journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Ameyalli M Rodríguez-CanoNutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.ORCID http://orcid.org/0000-0003-4477-0317
Omar Piña-RamírezBioinformatics and Statistical Analysis Department, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
Carolina Rodríguez-HernándezNutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
Jennifer Mier-CabreraNutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
Gicela Villalobos-AlcazarNeonatal Ward, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
Guadalupe Estrada-GutierrezResearch Division, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
Arturo Cardona-PérezGeneral Director, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
Alejandra Coronado-ZarcoNeonatology Division, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
Otilia Perichart-PereraNutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México. otiliaperichart@inper.gob.mx.ORCID http://orcid.org/0000-0003-1492-5293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesFat-mass (FM) assessment since birth using valid methodologies is crucial since excessive adiposity represents a risk factor for adverse metabolic outcomes.

aimTo develop infant FM prediction equations using anthropometry and validate them against air-displacement plethysmography (ADP). SUBJECTS/

methodsClinical, anthropometric (weight, length, body-mass index -BMI-, circumferences, and skinfolds), and FM (ADP) data were collected from healthy-term infants at 1 (n = 133), 3 (n = 105), and 6 (n = 101) months enrolled in the OBESO perinatal cohort (Mexico City). FM prediction models were developed in 3 steps: 1) Variable Selection (LASSO regression), 2) Model behavior evaluation (12-fold cross-validation, using Theil-Sen regressions), and 3) Final model evaluation (Bland-Altman plots, Deming regression).

resultsRelevant variables in the FM prediction models included BMI, circumferences (waist, thigh, and calf), and skinfolds (waist, triceps, subscapular, thigh, and calf). The R

conclusionAnthropometry-based prediction equations are inexpensive and represent a more accessible method to estimate body composition. The proposed equations are useful for evaluating FM in Mexican infants.

Indexed as

Body CompositionPlethysmographyAnthropometryBody Mass IndexFemaleHumansInfantMexicoPregnancyReproducibility of Results

Identifiers

PMID37055482
PMCPMC10335931

What Socratic 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 Socratic graph.