Evidence map›Paper›PMID 36235751›Full record

ArticleNutrients2022

Preconception Dietary Inflammatory Index and Risk of Gestational Diabetes Mellitus Based on Maternal Body Mass Index: Findings from a Japanese Birth Cohort Study.

Hyo Kyozuka, Tsuyoshi Murata, Hirotaka Isogami, Karin Imaizumi, Toma Fukuda, Akiko Yamaguchi, Shun Yasuda, Akiko Sato, Yuka Ogata, Mitsuaki Hosoya and 5 more

Open access · goldAbstract 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 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Hyo KyozukaDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.ORCID 0000-0001-7782-3396
Tsuyoshi MurataDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Hirotaka IsogamiDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Karin ImaizumiDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Toma FukudaDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Akiko YamaguchiDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Shun YasudaDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Akiko SatoFukushima Regional Center for the Japan Environmental and Children's Study, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Yuka OgataFukushima Regional Center for the Japan Environmental and Children's Study, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Mitsuaki HosoyaFukushima Regional Center for the Japan Environmental and Children's Study, 1 Hikarigaoka, Fukushima 960-1295, Japan.ORCID 0000-0003-1626-3625
Seiji YasumuraFukushima Regional Center for the Japan Environmental and Children's Study, 1 Hikarigaoka, Fukushima 960-1295, Japan.ORCID 0000-0002-4715-2840
Koichi HashimotoFukushima Regional Center for the Japan Environmental and Children's Study, 1 Hikarigaoka, Fukushima 960-1295, Japan.ORCID 0000-0001-7186-7603
Hidekazu NishigoriFukushima Regional Center for the Japan Environmental and Children's Study, 1 Hikarigaoka, Fukushima 960-1295, Japan.
Keiya FujimoriDepartment of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan.
The Japan Environment And Children's Study Jecs Group
Fukushima Medical University · JPFukushima Prefectural Culture Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to examine the impact of a preconception pro-inflammatory diet on gestational diabetes mellitus (GDM) using singleton pregnancy data from the Japan Environment and Children’s Study involving live births from 2011 to 2014. Individual meal patterns before pregnancy were used to calculate the dietary inflammatory index (DII). Participants were categorized according to DII quartiles 1−4 (Q1 and Q4 had the most pro-inflammatory and anti-inflammatory diets, respectively). The participants were stratified into five groups by pre-pregnancy body mass index (BMI): G1 to G5 (<18.5 kg/m2, 18.5 to <20.0 kg/m2, 20.0 to <23.0 kg/m2, 23.0 to <25.0 kg/m2, and ≥25.0 kg/m2, respectively). A multiple logistic regression model was used to estimate the effect of the anti-inflammatory diet on GDM, early diagnosed (Ed)-GDM, and late diagnosed (Ld)-GDM in each BMI group. Trend analysis showed that the risk of GDM, Ed-GDM, and Ld-GDM increased with increased pre-pregnancy BMI values. In the G4 group, the risk of Ed-GDM increased in Q2 and Q4. This study suggests that, although higher maternal BMI increases the risk of GDM, the effect of a preconception pro-inflammatory diet on the occurrence of GDM depends on pre-pregnancy BMI. This result may facilitate personalized preconception counseling based on maternal BMI.

Indexed as

Diabetes, GestationalBirth CohortBody Mass IndexCohort StudiesDietFemaleHumansJapanPregnancyRisk Factorsbirth cohort studydietary inflammatory indexgestational diabetes mellitusoxidative stresspreconceptionpregnancy

Identifiers

PMID36235751
PMCPMC9573395
OpenAlexW4303962274

What Socratic holds

Textmetadata
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 Socratic graph.