Evidence map›Paper›PMID 24901453›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2014

Abdominal subcutaneous and visceral fat thickness in newborns: correlation with anthropometric and metabolic profile.

A P A Ferreira, J R da Silva Junior, J N Figueiroa, J G B Alves

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Article in Journal of perinatology : official journal of the California Perinatal Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

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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

4 authors.

A P A FerreiraInstituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Brazil.
J R da Silva JuniorInstituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Brazil.
J N FigueiroaInstituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Brazil.
J G B AlvesInstituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo correlate abdominal subcutaneous and visceral fat thickness with anthropometric data and metabolic profile in newborns. STUDY

designA cross-sectional study with 99 newborns was performed at Instituto de Medicina Integral Professor Fernando Figueira, Brazil. Abdominal subcutaneous and visceral thickness were measured by ultrasound. Glucose, insulin, homeostatic model assessment-insulin resistance (HOMA-IR), total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, very-low-density lipoprotein cholesterol and triglycerides were determined. Pearson correlation coefficients were calculated.

resultAbdominal subcutaneous fat thickness was positively correlated with birth weight (r=0.31; P<0.001), height (r=0.27; P<0.001) and abdominal circumference (r=0.26; P<0.001), but not with metabolic profile. Abdominal visceral fat thickness was correlated with abdominal circumference (r=0.23; P=0.01), insulin (r=0.21; P=0.04) and HOMA (r=0.24; P=0.02). The results remained the same among males and females.

conclusionAbdominal fat distribution in newborns has a different correlation with anthropometric and metabolic profile. Abdominal subcutaneous fat thickness is positively correlated with anthropometric data whereas abdominal visceral fat thickness is correlated with insulin and HOMA-IR.

Indexed as

Body CompositionCholesterolCross-Sectional StudiesFemaleHumansInfant, NewbornInsulin ResistanceIntra-Abdominal FatMaleSubcutaneous Fat, AbdominalUltrasonographyWaist CircumferenceCholesterol

Identifiers

PMID24901453

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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.