Evidence map›Paper›PMID 35155537›Full record

ArticleFrontiers in nutrition2022

Association Between Dietary Patterns and Different Metabolic Phenotypes in Japanese Adults: WASEDA'S Health Study.

Kumpei Tanisawa, Tomoko Ito, Ryoko Kawakami, Chiyoko Usui, Takuji Kawamura, Katsuhiko Suzuki, Shizuo Sakamoto, Kaori Ishii, Isao Muraoka, Koichiro Oka and 1 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  9. Obesity and the risk of cardiometabolic diseases.Nature reviews. Cardiology · 2023
    Review
  10. Association ofNutrients · 2022
    Article
  11. Article
  12. 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

11 authors.

Kumpei TanisawaFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Tomoko ItoWaseda Institute for Sport Sciences, Tokorozawa, Japan.
Ryoko KawakamiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Chiyoko UsuiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Takuji KawamuraWaseda Institute for Sport Sciences, Tokorozawa, Japan.
Katsuhiko SuzukiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Shizuo SakamotoFaculty of Sport Science, Surugadai University, Saitama, Japan.
Kaori IshiiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Isao MuraokaFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Koichiro OkaFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Mitsuru HiguchiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although many studies have reported that a posteriori dietary pattern is associated with metabolic health, there is little evidence of an association between dietary patterns and different metabolic phenotypes. The present study aimed to examine the association between major dietary patterns and different metabolic phenotypes (metabolically healthy non-obese [MHNO], metabolically unhealthy non-obese [MUNO], metabolically healthy obese [MHO], and metabolically unhealthy obese [MUO]) in middle-aged and elderly Japanese adults. This cross-sectional study enrolled 2,170 Japanese adults aged ≥40 years. The four different metabolic phenotypes were determined based on the presence of obesity, abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. The major dietary patterns were determined using principal component analysis based on energy-adjusted food intake. Two dietary patterns were identified: the healthy dietary pattern, which was characterized by a high intake of vegetables, fruits, potatoes, soy products, mushrooms, seaweeds, and fish; and the alcohol dietary pattern, which was characterized by a high intake of alcoholic beverages, liver, chicken, and fish. The healthy dietary pattern was associated with the MHNO and MHO phenotypes (MUNO and MUO as reference groups, respectively), and the multivariate-adjusted odds ratios (ORs) (95% confidence intervals [CIs]) in the highest quartile of healthy dietary pattern score with the lowest quartile as the reference category were 2.10 (1.40-3.15) and 1.86 (1.06-3.25), respectively. Conversely, the alcohol dietary pattern was inversely associated with the MHNO and MHO phenotypes, while the multivariate-adjusted ORs (95% CIs) in the highest quartile of the alcohol dietary pattern score with the lowest quartile as the reference category were 0.63 (0.42-0.94) and 0.45 (0.26-0.76), respectively. There were no significant interactions between sex and healthy/alcohol dietary patterns in the prevalence of the MHNO and MHO phenotypes. In conclusion, the present study's findings suggest that major dietary patterns are associated with different metabolic phenotypes in middle-aged and elderly Japanese adults. These findings provide useful evidence for maintaining metabolic health through diet regardless of obesity status.

Indexed as

alcohol dietary patterndiethealthy dietary patternJapanese adultsmetabolically healthy obesemetabolically unhealthy non-obese

Identifiers

PMID35155537
PMCPMC8829333

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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.