Evidence map›Paper›PMID 41940393›Full record

ArticlePeerJ2026

Maternal dietary vitamin A and polyunsaturated fatty acids intake and risk of preterm birth: a nested case-control study.

Lei Cao, Zifu Wang, Yuqing Li, Chenyan Yang, Hongchuan Fu, Qinqin Tian, Liping Yang, Baohong Mao

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Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lei Cao *Department of Medical Education, Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou, Gansu, China.
Zifu Wang *School of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Yuqing LiSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Chenyan YangSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Hongchuan FuSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Qinqin TianSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Liping YangDepartment of Medical Quality Control, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, Gansu, China.
Baohong MaoDepartment of Medical Education, Gansu Provincial Maternity and Child-care Hospital (Gansu Provincial Central Hospital), Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of maternal dietary intake of vitamin A and polyunsaturated fatty acids (PUFAs) on preterm birth (PTB) risk remains uncertain. This study aims to investigate the effects of preconception and pregnancy dietary intake of these nutrients on PTB risk and to examine potential interactions between vitamin A and PUFAs. Methods: The study subjects were pregnant women who registered at the Perinatal Medicine Center of Gansu Provincial Maternity and Child-care Hospital between March 2018 and March 2019 and whose birth outcomes could be followed up. Following ethics approval and consent, one-on-one pregnancy diet surveys established a total dietary intake database for statistical analysis. PTB was used as the outcome variable, and intake levels of different substances during pregnancy were used as independent variables. Logistic regression models were employed to calculate odds ratios (OR) and their 95% confidence intervals (CI) to analyze the impact of various substance intake levels on PTB. Results: A total of 8,897 pregnant women were enrolled in this study, comprising 880 cases and 8,017 controls. Multivariate logistic regression analysis indicated that when dietary intake of vitamin A and PUFAs levels w as too low in the third trimester, the risk of PTB would be significantly increased. The specific results were (OR = 1.440, 95% CI [1.221-1.697]) and (OR = 1.319, 95% CI [1.113-1.563]), respectively. Similar conclusions were drawn in the gestational weeks subgroup. In addition, a U-shaped association was found in the third trimester of pregnancy between the intake level of dietary PUFAs and the risk of PTB, meaning that both excessive and insufficient intake increase the risk of PTB. Interaction analysis revealed that dietary vitamin A and PUFAs intake had a multiplicative interaction effect on the risk of PTB during preconception and pregnancy. Conclusion: An increased risk of PTB is associated with low intake of vitamin A and PUFAs both pre-conception and during pregnancy. Furthermore, a nonlinear relationship between intake levels and PTB risk was observed (

Indexed as

DietFatty Acids, UnsaturatedPremature BirthVitamin AAdultCase-Control StudiesFemaleHumansLogistic ModelsMaternal Nutritional Physiological PhenomenaPregnancyRisk FactorsFatty Acids, UnsaturatedVitamin AA nested case control studyDietary intakePTBPUFAsVitamin A

Identifiers

PMID41940393
PMCPMC13050217

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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.