Evidence map›Paper›PMID 35529458›Full record

ArticleFrontiers in nutrition2022

An Investigation of the Relationship Between Dietary Patterns in Early Pregnancy and Maternal/Infant Health Outcomes in a Chinese Cohort.

Jamie V de Seymour, Kathryn L Beck, Cathryn A Conlon, Mary Beatrix Jones, John Colombo, Yin-Yin Xia, Ting-Li Han, Hong-Bo Qi, Hua Zhang, Philip N Baker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% of its field
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, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
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

10 authors at 7 institutions in 4 countries.

Jamie V de SeymourCollege of Health, Massey University, Auckland, New Zealand.
Kathryn L BeckCollege of Health, Massey University, Auckland, New Zealand.
Cathryn A ConlonCollege of Health, Massey University, Auckland, New Zealand.
Mary Beatrix JonesDepartment of Statistics, University of Auckland, Auckland, New Zealand.
John ColomboDepartment of Psychology and Schiefelbusch Institute for Life Span Studies, University of Kansas, Lawrence, KS, United States.
Yin-Yin XiaSchool of Public Health and Management, Chongqing Medical University, Chongqing, China.
Ting-Li HanDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hong-Bo QiDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hua ZhangDepartment of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Philip N BakerCollege of Life Sciences, University of Leicester, Leicester, United Kingdom.
Massey University · NZFirst Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CNChongqing Public Health Medical Center · CNUniversity of Auckland · NZUniversity of Kansas · USUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies assessing links between maternal diet and pregnancy outcomes have focused predominantly on individual nutrients or foods. However, nutrients are typically consumed in combinations of foods or beverages (i.e., dietary patterns). Taking into account the diet as a whole appreciates that nutrient absorption and metabolism are influenced by other nutrients and the food matrix. Objective: The aim of this study was to investigate the relationship between dietary pattern consumption in early pregnancy and pregnancy/infant outcomes, including gestational diabetes mellitus, gestational weight gain, preeclampsia, placental weight, gestational age at delivery, small-for-gestational-age, large-for-gestational-age, macrosomia, measures of infant body composition, and scores on two main indices of the Bayley Scales of Infant Development [Mental Development Index (MDI) and the Psychomotor Development Index (PDI)] at 12 months. Design: Our study included 1,437 participants from a mother-infant cohort in Chongqing, China. Maternal diet was assessed using a 96-item food frequency questionnaire at 11-14 weeks gestation. Dietary patterns were constructed using principal component analysis. Multivariate regressions were performed to assess associations between maternal dietary pattern scores and pregnancy and infant outcomes, adjusting for confounders. Results: Two dietary patterns were derived: a pattern high in pasta, sweetened beverages, and oils and condiments (PSO-based dietary pattern) and a pattern high in fish, poultry, and vegetables (FPV-based dietary pattern). Higher scores on the PSO-based dietary pattern were associated with lower infant standardized scores on the PDI of the Bayley Scales of Infant Development, β (95% confidence interval) = -1.276 (-2.392, -0.160); lower placental weight, β (95% CI) = -6.413 (-12.352g, -0.473); and higher infant's tricep skinfold thickness at 6 weeks of age. β (95% CI) = 0.279 (0.033, 0.526). Higher scores on the FPV-based dietary pattern were associated with higher gestational weight gain between visit 1 (11-14 week's gestation) and 3 (32-34 week's gestation). β (95% CI) = 25.612 (13.255, 37.969). No significant associations were observed between dietary pattern scores and the remaining pregnancy/infant outcomes investigated or MDI scores on the Bayley Scales of Infant Development. This was the first study to investigate the association between dietary patterns in early pregnancy and infant neurocognition in a Chinese cohort.

Indexed as

Bayley Scales of Infant Developmentdietary patternsgestational weight gaininfant outcomesinfant skinfoldsmaternal dietneurocognitionplacenta

Identifiers

PMID35529458
PMCPMC9075413
OpenAlexW4224281561

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.