Evidence map›Paper›PMID 34445014›Full record

ArticleNutrients2021

Application of the Nutrient-Rich Food Index 9.3 and the Dietary Inflammatory Index for Assessing Maternal Dietary Quality in Japan: A Single-Center Birth Cohort Study.

Chihiro Imai, Hidemi Takimoto, Ayako Fudono, Iori Tarui, Tomoko Aoyama, Satoshi Yago, Motoko Okamitsu, Satoshi Sasaki, Shuki Mizutani, Naoyuki Miyasaka and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 15 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

11 authors at 3 institutions in 1 country.

Chihiro ImaiDepartment of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Hidemi TakimotoDepartment of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.ORCID 0000-0002-2751-8710
Ayako FudonoComprehensive Reproductive Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Iori TaruiDepartment of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.
Tomoko AoyamaDepartment of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.ORCID 0000-0002-3006-7543
Satoshi YagoChild and Family Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Motoko OkamitsuChild and Family Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Satoshi SasakiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo 113-0033, Japan.
Shuki MizutaniInstitute of Advanced Biomedical Engineering and Science, The Public Health Research Foundation, Tokyo 169-0051, Japan.
Naoyuki MiyasakaComprehensive Reproductive Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Noriko SatoDepartment of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.ORCID 0000-0002-0384-5362
Tokyo Medical and Dental University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPThe University of Tokyo · JP

Funding

Japan Society for the Promotion of Science JP17H02198Japan Society for the Promotion of Science JP20K09594Japan Society for the Promotion of Science JP20K19635Nanken-Kyoten_TMDU 2019-2020Public Health Research Foundation 2020
6 · The paper itself

Abstract

The maternal diet can potentially influence the life-course health of the child. A poor-quality maternal diet creates nutrient deficiencies and affects immune-metabolic regulation during pregnancy. The nutrient-based overall dietary quality can be assessed using the Nutrient-Rich Food Index 9.3 (NRF9.3), which measures adherence to the national reference daily values of nutrient intake. Pro- and anti-inflammatory nutrient intake can be assessed using the energy-adjusted dietary inflammatory index (E-DII), a comprehensive index of diet-derived inflammatory capacity. Using these indices, we assessed the overall dietary quality and inflammatory potential of pregnant women during mid-gestation in an urban area of Japan (

Indexed as

Diet, HealthyMaternal Nutritional Physiological PhenomenaNutritional StatusNutrition AssessmentNutritive ValueRecommended Dietary AllowancesAdultDiet RecordsEnergy IntakeFemaleFruitHumansInflammationProspective StudiesProtective FactorsRisk AssessmentDIIDOHaDmaternal dietary qualityNRF9.3pregnancy

Identifiers

PMID34445014
PMCPMC8400739
OpenAlexW3195360251

What OpenQuestion 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 OpenQuestion graph.