Evidence map›Paper›PMID 38892562›Full record

ArticleNutrients2024

Relationship between Frequency of Meals Comprising Staple Grain, Main, and Side Dishes and Nutritional Adequacy in Japanese Adults: A Cross-Sectional Study.

Aiko Narumi-Hyakutake, Kimika Yamada, Yatsuki Yanagihara

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Aiko Narumi-HyakutakeDepartment of Nutrition, Faculty of Nutrition, Kobe Gakuin University, 518 Igawadani Arise, Nishi-ku, Kobe 651-2180, Japan.
Kimika YamadaGraduate School of Life Sciences, Showa Women's University, 1-7-57 Taishido, Setagaya-ku, Tokyo 154-8533, Japan.
Yatsuki YanagiharaCollege of Gastronomy Management, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu 525-8577, Japan.

Funding

Japan Society for the Promotion of Science JP16K1629
6 · The paper itself

Abstract

Meals comprising a staple grain, a main, and side dishes (SMS meals) promote good dietary intake, yet limited studies have examined their multifactorial relationship with dietary intake. We investigated how demographic characteristics, lifestyle, and dietary habits affect the relationship between SMS meal frequency and nutrient intake adequacy. This cross-sectional study analyzed survey data from 331 Japanese adults (208 men and 123 women) aged 30-69 years in February 2019. SMS meal frequency was evaluated according to respondents' answers to how many days a week they consumed ≥2 daily SMS meals. Dietary intake was evaluated using the brief self-administered diet history questionnaire. Differences in nutrient intake adequacy among groups according to SMS meal frequency were determined using multiple logistic regression. Less frequent SMS meals correlated with a lower intake of protein, water-soluble vitamins, and certain minerals, with more individuals falling below the estimated average requirement for nutrient intake. However, no relationship was found between SMS meal frequency and nutrient intake concerning tentative dietary goals for preventing lifestyle-related diseases. Our findings indicate that adopting SMS meals could achieve adequate intake of some nutrients and enhance overall diet quality among Japanese adults.

Indexed as

Feeding BehaviorMealsAdultAgedCross-Sectional StudiesDietEast Asian PeopleEdible GrainEnergy IntakeFemaleHumansJapanLife StyleMaleMiddle AgedNutritional Statusdietary intakenutrient intakenutritional adequacyoverall diet qualitySMS meals

Identifiers

PMID38892562
PMCPMC11174530

What OpenQuestion holds

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Registered trials

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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.