Evidence map›Paper›PMID 30745493›Full record

Observational studyJournal of epidemiology2020

Dietary Inflammatory Index Positively Associated With High-Sensitivity C-Reactive Protein Level in Japanese From NIPPON DATA2010.

Yunqing Yang, Atsushi Hozawa, Mana Kogure, Akira Narita, Takumi Hirata, Tomohiro Nakamura, Naho Tsuchiya, Naoki Nakaya, Toshiharu Ninomiya, Nagako Okuda and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

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

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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

16 authors.

Yunqing YangDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.ORCID http://orcid.org/0000-0002-6077-7757
Atsushi HozawaDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.ORCID http://orcid.org/0000-0002-8031-8523
Mana KogureDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.
Akira NaritaDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.
Takumi HirataDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.
Tomohiro NakamuraDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.
Naho TsuchiyaDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.
Naoki NakayaDivision of Personalized Prevention and Epidemiology, Tohoku University Graduate School of Medicine.
Toshiharu NinomiyaCenter for Cohort Studies, Graduate School of Medical Sciences, Kyushu University.ORCID http://orcid.org/0000-0003-1345-9032
Nagako OkudaDepartment of Health and Nutrition, University of Human Arts and Sciences.ORCID http://orcid.org/0000-0002-6893-0509
Aya KadotaDepartment of Public Health, Shiga University of Medical Science.ORCID http://orcid.org/0000-0001-7378-0544
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University School of Medicine.ORCID http://orcid.org/0000-0002-3283-8196
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID http://orcid.org/0000-0003-0488-0351
Hirotsugu UeshimaDepartment of Public Health, Shiga University of Medical Science.ORCID http://orcid.org/0000-0002-7742-4253
Akira OkayamaResearch Institute of Strategy for Prevention.ORCID http://orcid.org/0000-0002-5086-6385
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science.ORCID http://orcid.org/0000-0002-2646-9582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been reported that chronic inflammation may play an important role in the pathogenesis of several serious diseases and could be modulated by diet. Recently, the Dietary Inflammatory Index (DII

methodsData of the National Integrated Project for Prospective Observation of Non-communicable Disease and its Trends in the Aged 2010 (NIPPON DATA2010), which contained 2,898 participants aged 20 years or older from the National Health and Nutrition Survey of Japan (NHNS2010), were analyzed. Nutrient intakes derived from 1-day semi-weighing dietary records were used to calculate DII scores. Energy was adjusted using the residual method. Levels of hs-CRP were evaluated using nephelometric immunoassay. Multiple linear regression analyses were performed.

resultsAfter adjusting for age, sex, smoking status, BMI, and physical activity, a significant association was observed between DII scores and log(CRP+1) (standard regression coefficient = 0.05, P < 0.01). Although it was not statistically significant, the positive association was consistently observed in almost all age-sex subgroups and the non-smoker subgroup.

conclusionsThe current study confirmed that DII score was positively associated with hs-CRP in Japanese.

Indexed as

AdultAgedC-Reactive ProteinDietFemaleHumansInflammationJapanMaleMiddle AgedNutrition SurveysProspective StudiesReproducibility of ResultsYoung AdultC-Reactive ProteinCRPdietary inflammatory indexinflammationJapaneseJapanese diet

Identifiers

PMID30745493
PMCPMC6949183

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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.