Dietary Patterns during Pregnancy and Gestational Weight Gain: A Systematic Review
Open accessAbstract
The present systematic review (PROSPERO: CRD42020148630) hypothesizes the association of excessive weight gain during pregnancy with dietary patterns composed of ultraprocessed foods. Thus, the objective was to investigate the association between dietary patterns after analysis and weight gain during pregnancy. The search for articles was performed in nine databases. Two reviewers selected the articles in the databases and extracted from them the data used in the review. Two scales were used to evaluate the quality of the selected studies: New Castle-Ottawa Quality Assessment for cohort-based studies and Appraisal tool for Cross-Sectional Studies (AXIS) for cross-sectional-based studies. In total, 11 studies were identified with sample size variation (n = 173–5,733). Women presenting more adherence to healthy and traditional patterns (fruits, vegetables, salads, nuts, and dairy) recorded less excessive gestational weight gain (GWG). Higher intake of mixed patterns and western patterns rich in ultraprocessed foods were associated with a higher prevalence of excessive GWG (24.48–55.20%). Gestational dietary patterns a posteriori-derived that have presented ultraprocessed components rich in fat and sugars presented association with high GWG; healthy and traditional dietary patterns were related to better mother-child health conditions, such as adequate GWG.
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The association between maternal nutritional status and gestational weight gain was observed in this study.
“The association between maternal nutritional status and gestational weight gain observed in this study is supported by Ferreira et al. (33), who found that unhealthy dietary patterns are linked with excessive gestational weight gain.”
From Maternal nutritional status and the risk of metabolic syndrome in pregnancy: implications for public health nutrition (2026) · cites this paper as Ferreira et al. [33]
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Cites
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Dietary Patterns during Pregnancy Are Associated with Risk of Gestational Diabetes Mellitus
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Cited by
Sorted by citations
Wu, Y., Gao, Z., Gou, Y., Yan, L., & Duan, Y. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1862412
- Authors
- Ferreira, L. B., Lobo, C. V., Miranda, A. E. D. S., Carvalho, B. D. C., & Santos, L. C. D.
- Affiliations
- Universidade Federal de Minas Gerais (BR)
- Corresponding author
- Ferreira, Larissa Bueno
- ORCID
- Venue
- Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics
- Published
- 2022-04-28
- Volume
- 44
- Issue
- 05
- Pages
- 540-547
- ISSN
- 0100-7203 (ISSN-L)
- 1806-9339
- PMC
- PMC9948295
- OpenAlex
- W4226020551
- Cited by
- 25
- References
- 2
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 8 · 2023: 4 · 2022: 1
- FWCI
- 0.96
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Revista Brasileira Ginecologia e Obstetrícia (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (Code 001, 301555/2019-2, 406644/2016-0)
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais (301555/2019-2)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Keywords
- gestational weight gain, excessive weight gain, dietary habits, ultra-processed foods, Western dietary pattern, healthy eating patterns, maternal nutrition, maternal and child health
- MeSH terms
- Gestational Weight Gain, Cross-Sectional Studies, Diet, Female, Humans, Pregnancy, Cohort Studies, Weight Gain, Body Mass Index
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