Evidence map›Paper›PMID 39599620›Full record

ArticleNutrients2024

Association of Dietary Patterns,

Zheng Su, Chunzi Zeng, Jie Huang, Shiyun Luo, Jiaying Guo, Jinhan Fu, Weiwei Zhang, Zhoubin Zhang, Bo Zhang, Yan Li

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. 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

10 authors.

Zheng SuSchool of Public Health, Southern Medical University, Guangzhou 510515, China.
Chunzi ZengDepartment of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jie HuangDepartment of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.ORCID 0000-0003-4851-4660
Shiyun LuoDepartment of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jiaying GuoSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Jinhan FuSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0009-0003-4004-1990
Weiwei ZhangDepartment of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Zhoubin ZhangDepartment of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Bo ZhangSchool of Public Health, Southern Medical University, Guangzhou 510515, China.
Yan LiDepartment of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.

Funding

Guangzhou Municipal Science and Technology Bureau 2023A03J0451 and 2023A03J0940
6 · The paper itself

Abstract

backgroundChildhood obesity is a major public health challenge in the 21st century, and diet is one of the key modifiable factors in its prevention. This study examined the link between dietary patterns of children and general and central obesity, including the role of

methodsThis study enrolled 2413 children aged 9-17. Anthropometric measurements, CRP levels, and dietary data were collected. Factor analysis identified dietary patterns, and logistic regression examined the association between CRP levels and childhood obesity. Multiple linear regression determined the correlation between dietary patterns and CRP. Mediation analysis assessed the role of CRP in the link between dietary patterns and childhood obesity.

resultsThree dietary patterns were identified. The rice and meat pattern was significantly correlated to the risk of childhood obesity (OR = 1.166, 95%CI: 1.000, 1.359 for general obesity; OR = 1.215, 95%CI: 1.071, 1.377 for central obesity). CRP was positively correlated with childhood obesity risk (OR = 2.301, 95%CI: 1.776, 2.982 for general obesity; OR = 2.165, 95%CI: 1.738, 2.697 for central obesity). The fruit and vegetable pattern was inversely related to CRP (β= -0.059, 95%CI: -0.081, -0.036), while the snack pattern was positively correlated (β= 0.043, 95%CI: 0.020, 0.065). CRP had a suppressive effect on the association between the fruit and vegetable pattern and snack pattern with childhood obesity.

conclusionsThis study revealed the rice and meat pattern as a risk factor for childhood obesity, and cross-sectional evidence linked the fruit and vegetable pattern and snack pattern to childhood obesity risk, mediated by CRP.

Indexed as

C-Reactive ProteinDietPediatric ObesityAdolescentChildChinaCross-Sectional StudiesFeeding BehaviorFemaleFruitHumansMaleMediation AnalysisRisk FactorsVegetablesC-Reactive ProteinchildrenChinaC-reactive proteindietary patternmediation analysisobesity

Identifiers

PMID39599620
PMCPMC11597664

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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.