Evidence map›Paper›PMID 30837027›Full record

ArticlePublic health nutrition2019

Dietary patterns and abnormal glucose tolerance among Japanese: findings from the National Health and Nutrition Survey, 2012.

Emiko Okada, Kunihiko Takahashi, Koshi Nakamura, Shigekazu Ukawa, Saeka Takabayashi, Mieko Nakamura, Satoshi Sasaki, Akiko Tamakoshi, Hidemi Takimoto

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Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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11citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Emiko OkadaDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8636, Japan.
Kunihiko TakahashiDepartment of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Koshi NakamuraDepartment of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan.
Shigekazu UkawaDepartment of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan.
Saeka TakabayashiDepartment of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan.
Mieko NakamuraDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Satoshi SasakiDepartment of Social and Preventive Epidemiology, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akiko TamakoshiDepartment of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan.
Hidemi TakimotoDepartment of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8636, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrevious studies have associated dietary patterns with diabetes risk in Western countries, but such studies among the Japanese population are scarce. The present study aimed to investigate dietary patterns associated with abnormal glucose tolerance determined by elevated glycated Hb (HbA1c) levels.

designThe 2012 National Health and Nutrition Survey (NHNS) database was used for the cross-sectional study. Dietary patterns were analysed by factor analysis of twenty-five food items from the dietary intake survey and household-based semi-weighed dietary records. OR and 95 % CI for elevated HbA1c levels (≥6·5 %) according to dietary patterns were estimated using logistic regression models.

settingJapan.

participantsThe study population comprised 9550 Japanese aged ≥40 years registered in the nationwide NHNS.

resultsThree dietary patterns were identified: (i) high-bread and low-rice; (ii) high-meat and low-fish; and (iii) vegetable. The high-bread and low-rice pattern, characterised by high frequent consumption of bread, milk and dairy products, and fruits, and low rice intake, was associated with marginally decreased prevalence of elevated HbA1c levels (Ptrend=0·047). The vegetable pattern, characterised by vegetables, mushrooms, soyabeans and soybean products, was significantly inversely associated with elevated HbA1c levels (4th v. 1st quartile: multivariable OR=0·68; 95 % CI 0·49, 0·95; Ptrend=0·007).

conclusionsOur findings suggest that the vegetable pattern is associated with decreased prevalence of elevated HbA1c levels among Japanese.

Indexed as

AgedCross-Sectional StudiesDietFemaleGlucose IntoleranceGlycated HemoglobinHumansJapanMaleMiddle AgedNutrition SurveysGlycated Hemoglobinhemoglobin A1c protein, humanDietary patternsFactor analysisHbA1cJapaneseNational Health and Nutrition Survey

Identifiers

PMID30837027
PMCPMC10260638

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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.