Evidence map›Paper›PMID 39275247›Full record

Observational studyNutrients2024

Sex and Age Differences in the Effects of Food Frequency on Metabolic Parameters in Japanese Adults.

Katsumi Iizuka, Kotone Yanagi, Kanako Deguchi, Chihiro Ushiroda, Risako Yamamoto-Wada, Kazuko Kobae, Yoshiko Yamada, Hiroyuki Naruse

Abstract readObservational Study
In one paragraph

Observational study in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Validation of a new self-administered dietary salt intake questionnaire in patients with chronic kidney disease.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
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  4. Article
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  10. Observational
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  12. Review
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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

8 authors.

Katsumi IizukaDepartment of Clinical Nutrition, Fujita Health University, Toyoake 470-1192, Japan.ORCID 0000-0002-9837-6238
Kotone YanagiHealth Management Center, Fujita Health University, Toyoake 470-1192, Japan.
Kanako DeguchiDepartment of Clinical Nutrition, Fujita Health University, Toyoake 470-1192, Japan.
Chihiro UshirodaDepartment of Clinical Nutrition, Fujita Health University, Toyoake 470-1192, Japan.ORCID 0000-0002-6547-9732
Risako Yamamoto-WadaDepartment of Clinical Nutrition, Fujita Health University, Toyoake 470-1192, Japan.
Kazuko KobaeHealth Management Center, Fujita Health University, Toyoake 470-1192, Japan.
Yoshiko YamadaHealth Management Center, Fujita Health University, Toyoake 470-1192, Japan.
Hiroyuki NaruseHealth Management Center, Fujita Health University, Toyoake 470-1192, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to differences in dietary preferences between men and women, the associations between dietary intake frequency and metabolic parameters may differ between the sexes. A retrospective observational study of the checkup findings of 3147 Japanese individuals (968 men, 2179 women) aged 20-59 years was conducted to examine differences in dietary habits and associations between food frequency and blood parameters (eGFR, HbA1c, uric acid, and lipids) by sex and age. Males were more likely to consume meat, fish, soft drinks, and alcohol, whereas women were more likely to consume soybeans, dairy products, vegetables, fruits, and snacks. Multivariate linear regression models adjusted for age and BMI revealed that meat intake frequency was positively associated with HbA1c (β = 0.007,

Indexed as

DietFeeding BehaviorUric AcidAdultAge FactorsAlcohol DrinkingEast Asian PeopleFemaleGlycated HemoglobinHumansJapanMaleMiddle AgedRetrospective StudiesSex FactorsYoung AdultGlycated Hemoglobinhemoglobin A1c protein, humanUric AcidBMIdietary preferenceeGFRfood frequencyHbA1cHDL-Cnon-HDL-Ctriglycerideuric acid

Identifiers

PMID39275247
PMCPMC11397154

What OpenQuestion holds

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LicenceCC BY
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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.