Evidence mapPaperPMID 39420779Full record

ArticlePublic health nutrition2024

Food group intakes and high-sensitivity C-reactive protein among community-dwelling Japanese adults: a cross-sectional study.

Takashi Matsunaga, Kenji Wakai, Nahomi Imaeda, Chiho Goto, Yudai Tamada, Yasufumi Kato, Yoko Kubo, Rieko Okada, Mako Nagayoshi, Takashi Tamura and 7 more

Abstract read
In one paragraph

Article in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Takashi MatsunagaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.ORCID https://orcid.org/0000-0003-0960-0427
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Nahomi ImaedaDepartment of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Aichi, Japan.ORCID https://orcid.org/0000-0003-3106-3488
Chiho GotoDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Yudai TamadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Yasufumi KatoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Yoko KuboDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Rieko OkadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Mako NagayoshiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Takashi TamuraDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Asahi HishidaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi466-8550, Japan.
Hiroaki IkezakiDepartment of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.
Jun OtonariDepartment of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Naoyuki TakashimaDepartment of Public Health, Faculty of Medicine, Kindai University, Osaka-Sayama, Osaka, Japan.
Naoko MiyagawaDepartment of Public Health, Shiga University of Medical Science, Otsu, Shiga, Japan.
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan.
Japan Multi-Institutional Collaborative Cohort (J-MICC) Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHealthy dietary patterns have been linked to lower levels of chronic inflammation. The present study aimed to investigate the associations between food group intakes and high-sensitivity C-reactive protein (hsCRP) among community-dwelling adults.

designCross-sectional.

settingThree areas in Japan (Shiga, Fukuoka, or Kyushu and Okinawa).

participantsThe present analysis included 13 648 participants (5126 males and 8522 females; age range, 35-69 years) who had been enrolled in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. Food group intakes were estimated using a FFQ. Multiple linear regression was used to examine associations between the quartiles of each energy-adjusted food group intake and log-transformed hsCRP.

resultsThe following concentration ratios of hsCRP after comparing the highest and lowest quartiles of food group intake were significant: in males, 1·12 (95 % CI 1·02, 1·22) for processed meat, 1·13 (95 % CI 1·03, 1·24) for fish and 0·83 (95 % CI 0·76, 0·90) for nuts; in females, 0·89 (95 % CI 0·81, 0·97) for bread, 1·11 (95 % CI 1·03, 1·19) for processed meat, 0·86 (95 % CI 0·80, 0·92) for vegetables, 1·19 (95 % CI 1·11, 1·29) for fruit, 0·90 (95 % CI 0·84, 0·97) for nuts and 0·88 (95 % CI 0·82, 0·95) for green tea.

conclusionsProcessed meat and nut intakes were associated with higher and lower hsCRP levels, respectively, in both sexes. However, for several food groups, including fish and fruit, previous findings from dietary pattern analyses were not supported by the present analyses at the food group level.

Indexed as

C-Reactive ProteinDietAdultAgedBiomarkersCohort StudiesCross-Sectional StudiesEast Asian PeopleFemaleFruitHumansInflammationJapanMaleMiddle AgedVegetablesBiomarkersC-Reactive ProteinChronic inflammationCommunity-dwelling adultsCross-sectional studyFood groupHigh-sensitivity C-reactive protein

Identifiers

PMID39420779
PMCPMC11604322

What Socratic 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 Socratic graph.