Evidence map›Paper›PMID 32993577›Full record

ArticleBMC pregnancy and childbirth2020

Anthropometrical measurements and maternal visceral fat during first half of pregnancy: a cross-sectional survey.

Daniela Cortés Kretzer, Salete Matos, Lisia Von Diemen, José Antônio de Azevedo Magalhães, Alice Carvalhal Schöffel, Marcelo Zubaran Goldani, Alexandre da Silva Rocha, Juliana Rombaldi Bernardi

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  3. Artificial Nutrition Support During Acute Illness in Pregnancy: A Scoping Review.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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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

8 authors at 3 institutions in 2 countries.

Daniela Cortés KretzerFaculty of Medicine, Postgraduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos, 2400, Santa Cecilia, Rio Grande do Sul, 90035-003, Porto Alegre, Brazil. danielakretzer@hotmail.com.
Salete MatosFaculty of Medicine, Postgraduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos, 2400, Santa Cecilia, Rio Grande do Sul, 90035-003, Porto Alegre, Brazil.
Lisia Von DiemenPostgraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), 90035-003, Porto Alegre, Brazil.
José Antônio de Azevedo MagalhãesMaternal-Fetal Division (Head), Hospital de Clínicas de Porto Alegre, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Alice Carvalhal SchöffelDepartment of Social and Behavioural Health Sciences, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Marcelo Zubaran GoldaniDepartment of Pediatrics, Hospital de Clínicas de Porto Alegre, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Alexandre da Silva RochaPostgraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), 90035-003, Porto Alegre, Brazil.
Juliana Rombaldi BernardiDepartment of Nutrition, Graduate program in Child and Adolescent Health and Graduate Program in Food, Nutrition and Health, Hospital de Clínicas de Porto Alegre, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Universidade Federal do Rio Grande do Sul · BRHospital de Clínicas de Porto Alegre · BRUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetermining anthropometric measures that indicate different fat deposits can be useful to predict metabolic risk and set specific treatment goals, reducing negative consequences for maternal and fetal health. In cases where pre-gestational weight measure and subsequent body mass index (BMI) values cannot be determined, other anthropometric measurements may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. This study aims to identify which anthropometric measurements correlate better with the maternal fat deposits measured by ultrasound.

methodsA cross-sectional study was conducted with pregnant women from the city of Porto Alegre (city), capital of Rio Grande do Sul (state), southern Brazil, from October 2016 until January 2018. Anthropometrical variables (weight, height, mid-upper arm circumference [MUAC], circumferences of calf and neck and triceps skinfolds [TSF] and subscapular skinfolds [SBSF]), and ultrasound variables (visceral adipose tissue [VAT] and total adipose tissue [TAT]) were collected. To verify the correlation of anthropometric and ultrasound measurements, a non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees.

resultsThe age median of the 149 pregnant women was 25 years [21-31], pre-pregnancy BMI was 26.22 kg/m² [22.16-31.21] and gestational age was 16.2 weeks [13.05-18.10]. The best measurements correlated with VAT and TAT were MUAC and SBSF, both of which showed a higher correlation than pre-pregnancy BMI.

conclusionsIt is possible to provide a practical and reliable estimate of VAT and TAT from the anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in an outpatient clinic environment, especially in low- and middle-income countries.

Indexed as

Body Weights and MeasuresAdultCorrelation of DataCross-Sectional StudiesFemaleHumansIntra-Abdominal FatOrgan SizePregnancyPregnancy Trimester, FirstPregnancy Trimester, SecondUltrasonography, PrenatalYoung AdultAnthropometryBody mass indexMid-upper arm circumferencePregnant women

Identifiers

PMID32993577
PMCPMC7526141
OpenAlexW3089428236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.