Evidence map›Paper›PMID 35807747›Full record

ArticleNutrients2022

Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population.

Huan Yu, Qiaorui Wen, Jun Lv, Dianjianyi Sun, Yuan Ma, Sailimai Man, Jianchun Yin, Mingkun Tong, Bo Wang, Canqing Yu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. The Association of HDL2b with Metabolic Syndrome Among Normal HDL-C Populations in Southern China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  4. Article
  5. 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 at 1 institution in 1 country.

Huan YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0001-8878-4652
Qiaorui WenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Yuan MaPeking University Health Science Center Meinian Public Health Institute, Beijing 100191, China.ORCID 0000-0001-8004-2793
Sailimai ManDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Jianchun YinMJ Health Care Group, Shanghai 200041, China.
Mingkun TongPeking University Health Science Center Meinian Public Health Institute, Beijing 100191, China.
Bo WangPeking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China.ORCID 0000-0003-1464-8724
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0002-0019-0014
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Peking University · CN

Funding

National Natural Science Foundation of China 91846303
6 · The paper itself

Abstract

It is unclear how the dietary patterns reflecting C-reactive protein (CRP) affect metabolic syndrome (MetS) in the Chinese population. To examine the effect of the dietary pattern reflecting CRP with MetS, a cross-sectional study was based on the health checkup data from the Beijing MJ Health Screening Centers between 2008 and 2018. The CRP-related dietary pattern was derived from 17 food groups using reduced-rank regression. Participants were divided into five groups according to the quintiles of dietary pattern score. Multivariate logistic regression was then applied to estimate the odds ratios (OR) and 95% confidence intervals (CIs) for the quintiles of diet pattern score related to MetS and its four components. Of the 90,130 participants included in this study, 11,209 had MetS. A CRP-related dietary pattern was derived, characterized by a higher consumption of staple food, fresh meat, processed products, and sugar-sweetened beverages but a lower intake of honey and jam, fruits, and dairy products. Compared with participants in the lowest quintile (Q1), participants in the higher quintiles were associated with increased risks of MetS in a dose−response manner after adjustment for potential confounders (p for linear trend < 0.001), the ORs for Q2 to Q5 were 1.10 (95% CI: 1.02−1.19), 1.14 (95% CI: 1.05−1.22), 1.23 (95% CI: 1.15−1.33), and 1.49 (95% CI: 1.38−1.61), respectively. Moreover, the effects were stronger among individuals aged 50 years or older. A CRP-related dietary pattern was associated with the risk of MetS. It provides new insights that dietary intervention to achieve a lower inflammatory level could potentially prevent MetS.

Indexed as

Metabolic SyndromeChinaC-Reactive ProteinCross-Sectional StudiesDietHumansRisk FactorsC-Reactive ProteinC-reactive proteincross-sectional studydietary patternsmetabolic syndrome

Identifiers

PMID35807747
PMCPMC9268474
OpenAlexW4283267688

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.