Evidence map›Paper›PMID 36297111›Full record

ArticleNutrients2022

Dietary Pattern Influences Gestational Weight Gain: Results from the ProcriAr Cohort Study-São Paulo, Brazil.

Silvia Regina Dias Medici Saldiva, Adélia da Costa Pereira De Arruda Neta, Juliana Araujo Teixeira, Stela Verzinhasse Peres, Dirce Maria Lobo Marchioni, Mariana Azevedo Carvalho, Sandra Elisabete Vieira, Rossana Pulcineli Vieira Francisco

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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

9 citing papers in PubMed.

  1. Maternal Obesity Doubles the Risk of Preeclampsia and Eclampsia: Post-COVID Changes in a Brazilian Cohort of 2.3 Million Hospitalizations.Pathophysiology : the official journal of the International Society for Pathophysiology · 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.

Silvia Regina Dias Medici SaldivaDepartamento de Obstetrícia e Ginecologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil.ORCID 0000-0002-0641-834X
Adélia da Costa Pereira De Arruda NetaDepartment of Nutrition, Faculty of Public Health, University of São Paulo, São Paulo 01246-904, Brazil.ORCID 0000-0001-8271-3079
Juliana Araujo TeixeiraBrazilian Center for Early Child Development, Insper Learning Institution, São Paulo 04546-042, Brazil.ORCID 0000-0001-8155-1362
Stela Verzinhasse PeresDepartamento de Obstetrícia e Ginecologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil.ORCID 0000-0001-8120-2920
Dirce Maria Lobo MarchioniDepartment of Nutrition, Faculty of Public Health, University of São Paulo, São Paulo 01246-904, Brazil.
Mariana Azevedo CarvalhoDepartamento de Obstetrícia e Ginecologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil.ORCID 0000-0001-7193-4917
Sandra Elisabete VieiraDepartment of Pediatrics, Faculty of Medicine, University of São Paulo, São Paulo 05403-000, Brazil.
Rossana Pulcineli Vieira FranciscoDepartamento de Obstetrícia e Ginecologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-000, Brazil.ORCID 0000-0002-9981-8069

Funding

National Council for Scientific and Technological Development edital 15São Paulo Research Foundation 2008/57717-6 and 2009/17315-9
6 · The paper itself

Abstract

The maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) influence maternal and infant outcomes. This study identified patterns of habitual dietary intake in 385 pregnant women in São Paulo and explored their associations with excessive weight gain (EGWG). Weight at the first visit (<14 weeks) was used as a proxy for pre-pregnancy weight. Food consumption was assessed using the 24HR method, administered twice at each gestational trimester, and dietary patterns were identified by principal component analysis. Three dietary patterns were identified: “Vegetables and Fruits,” “Western,” and “Brazilian Traditional.” Descriptive data analysis was performed using absolute and relative frequencies for each independent variable and multilevel mixed-effects logistic regression was used to analyze excessive gestational gain weight (EGWG) and dietary patterns (DP). The Brazilian Traditional dietary pattern showed a protective effect on EGWG (p = 0.04) and age > 35 years (p = 0.03), while subjects overweight at baseline had a higher probability of EGWG (p = 0.02), suggesting that the identification of dietary and weight inadequacies should be observed from the beginning of pregnancy, accompanied by nutritional intervention and weight monitoring throughout the gestational period to reduce risks to the mother and child’s health.

Indexed as

Gestational Weight GainAdultBody Mass IndexBrazilCohort StudiesDietFemaleHumansPregnancyWeight Gainbody mass indexgestational weight gainmaternal dietary patternspregnant cohort study

Identifiers

PMID36297111
PMCPMC9607592

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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.