Evidence map›Paper›PMID 35195821›Full record

ArticleMaternal and child health journal2022

Dietary Patterns During Pregnancy and Their Association with Gestational Weight Gain and Anthropometric Measurements at Birth.

Larissa Bueno Ferreira, Cecília Viana Lobo, Ariene Silva do Carmo, Rafaela Cristina Vieira E Souza, Luana Caroline Dos Santos

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In one paragraph

Article in Maternal and child health journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

5 authors.

Larissa Bueno FerreiraChild and Adolescent Health, Federal University of Minas Gerais, Escola de Enfermagem/UFMG. Av. Alfredo Balena, 190, sala 324, Santa Efigênia, Belo Horizonte, MG, 30130-100, Brazil. labuenoferreira@gmail.com.ORCID http://orcid.org/0000-0002-2123-4311
Cecília Viana LoboFederal University of Minas Gerais, Escola de Enfermagem/UFMG. Av. Alfredo Balena, 190, sala 324, Santa Efigênia, Belo Horizonte, MG, 30130-100, Brazil.
Ariene Silva do CarmoChild and Adolescent Health, Federal University of Minas Gerais, Escola de Enfermagem/UFMG. Av. Alfredo Balena, 190, sala 324, Santa Efigênia, Belo Horizonte, MG, 30130-100, Brazil.
Rafaela Cristina Vieira E SouzaChild and Adolescent Health, Federal University of Minas Gerais, Escola de Enfermagem/UFMG. Av. Alfredo Balena, 190, sala 324, Santa Efigênia, Belo Horizonte, MG, 30130-100, Brazil.
Luana Caroline Dos SantosDepartment of the Nursing School, Federal University of Minas Gerais, Escola de Enfermagem/UFMG. Av. Alfredo Balena, 190, sala 324, Santa Efigênia, Belo Horizonte, MG, 30130-10030130-100, Brazil.

Funding

Coordination for the Improvement of Higher Education Personnel- CAPES 001Fundação de Amparo à Pesquisa do Estado de Minas Gerais 001National Council for Scientific and Technological Development (CNPq) 301555/2019-2Universal Notice 2016 406644/2016-0
6 · The paper itself

Abstract

backgroundDietary patterns can influence maternal and child health outcomes. The study aims to characterize dietary patterns during pregnancy as well as to identify their associations with gestational weight gain (GWG) and anthropometric measurements at birth.

methodsA minimum sample size of 95 nursing mothers was estimated for this work. Socioeconomic, anthropometric, physical activity, obstetric and food consumption (food frequency questionnaire) data was collected from mothers and their newborns in immediate postpartum (n = 260) at the maternity hospital. Maternal pregestational weight and GWG were self-reported and the neonatal data was obtained from their records. The patterns were derived posteriori by Principal Component Analysis (PCA). Multinomial Logistic Regression and Poisson Regression with Robust Variance were applied.

findingsFour dietary patterns were derived: "pattern 1", characterized by the consumption of meat and eggs, processed meat, vegetables and olive oil; "pattern 2", consisting of sweets, snacks and cookies; "pattern 3", which includes cereals and breads, coffee and tea, and processed fats; and "pattern 4", characterized by soft drinks, tubers and instant noodles. Together, the dietary patterns account for 49.16% of the total variance for food intake. Higher adherence to "pattern 3" was associated with inadequate birth weight (low and excessive birth weight); while greater adherence to "pattern 2" was associated with lower chances of inadequate GWG.

conclusionThe dietary patterns presented mixed composition and predominance of ultra-processed foods. They were associated with the investigated outcomes, denoting the importance of strategies to promote healthy eating habits during pregnancy in order to avoid possible complications.

Indexed as

Gestational Weight GainBirth WeightChildDietFemaleHumansInfant, NewbornParturitionPregnancyWeight GainBirth weightDietary patternsGestationGestational weight gainNewborn

Identifiers

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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.