ArticleFrontiers in nutrition2024
Association of maternal dietary cholesterol intake during the second and third trimesters of pregnancy and blood glucose and pregnancy outcome in women with gestational diabetes mellitus: a prospective cohort study.
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Gestational Diabetes Mellitus: The Dual Risk of Small and Large for Gestational Age: A Narrative Review.Medical sciences (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cholesterol is essential for pregnant women to maintain maternal health and fetal support development. This study aimed to assess the cholesterol intake of women with gestational diabetes mellitus (GDM) during the second and third trimesters of pregnancy and to explore its effects on blood glucose and pregnancy outcomes. Methods: This prospective cohort study collected dietary data using a food frequency questionnaire (FFQ) administered during the 24-30 gestational weeks (first survey) and the 34-42 gestational weeks (second survey). Blood glucose parameters and pregnancy outcomes were obtained from electronic medical records. Participants were divided into two groups according to the median cholesterol intake: low and high cholesterol intake groups. Results: GDM women generally consumed high levels of cholesterol during pregnancy, with intake increasing in the third trimester compared to the second trimester. Compared to women with high cholesterol intake, GDM women with low cholesterol intake had a higher risk of abnormal hemoglobin A1C (HbA1C) during the second trimester [OR 26.014 (95% CI 2.616-258.727)] and the third trimester [OR 2.773 (95% CI 1.028-7.482)], as well as abnormal fasting blood glucose during the third trimester [OR 2.907 (95% CI 1.011-8.360)]. Furthermore, in the second trimester, GDM women with high cholesterol intake had higher risks of macrosomia [OR 23.195 (95% CI 2.650-203.024)] and large for gestational age (LGA) [OR 3.253 (95% CI 1.062-9.965)] but lower risks of small for gestational age (SGA) [OR 0.271 (95% CI 0.074-0.986)] compared to those with low cholesterol intake. However, in the third trimester, GDM women with high cholesterol intake had lower risks of macrosomia [OR 0.023 (95% CI 0.001-0.436)] and LGA [OR 0.199 (95% CI 0.042-0.949)]. Conclusion: Cholesterol intake among GDM women during pregnancy was associated with blood glucose control and significantly influenced the risks of macrosomia, LGA, and SGA. However, LGA and SGA were also influenced by pre-pregnancy BMI, indicating cholesterol intake was one of multiple contributing factors. Limiting cholesterol intake may help GDM women better manage blood glucose levels and mitigate adverse pregnancy outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.