Evidence map›Paper›PMID 39568722›Full record

ArticleFrontiers in nutrition2024

Association between major dietary patterns and obesity phenotypes in southwest China: baseline survey results from Hechuan.

Wang Shaomei, Jing Dezhi, Li Mengfen, Duan Huaan, Ding Xianbin, Peng Juan, Li Xia, Zhu Yanfeng

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. 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

8 authors.

Wang ShaomeiHechuan District Center Disease Control and Prevention, Chongqing, China.
Jing DezhiHechuan District Center Disease Control and Prevention, Chongqing, China.
Li MengfenHechuan District Center Disease Control and Prevention, Chongqing, China.
Duan HuaanHechuan District Center Disease Control and Prevention, Chongqing, China.
Ding XianbinChongqing Municipal Center for Disease Control and Prevention, Chongqing, China.
Peng JuanHechuan District Center Disease Control and Prevention, Chongqing, China.
Li XiaHechuan District Center Disease Control and Prevention, Chongqing, China.
Zhu YanfengDepartment of Nutrition and Health Management, Chengdu Medical College, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to identify the main dietary patterns in Hechuan and clarify how they are associated with obesity phenotypes. Methods: A cross-sectional study was conducted based on a baseline survey of a general population cohort study in southwest China. A semi-quantitative food frequency questionnaire (FFQ) was used to investigate the dietary habits of the participants in the past year. Principal component analysis was conducted to identify the main dietary patterns, and multinomial logistic regression analysis was conducted to describe the association between the major dietary patterns and obesity phenotypes. Results: Three major dietary patterns were identified. The participants who followed the wheaten food dietary pattern had a higher likelihood of having metabolically normal obesity (MHO) (odds ratio (OR) 1.05, 95% confidence interval (CI) 1.02-1.08), metabolically abnormal normal weight (MUNW) (OR 1.08, 95%CI 1.00-1.16), and metabolically abnormal obesity (MUO) (OR 1.07, 95%CI 1.04-1.11). Specifically, those with the highest wheaten food dietary pattern were 1.60 times more likely to have MHO (OR 1.60, 95%CI 1.25-2.05), 2.62 times more likely to have MUNW (OR 2.62, 95%CI 1.28-5.37), and 2.01 times more likely to have MUO (OR 2.01, 95%CI 1.51-2.69) than those with the lowest wheaten food dietary pattern. Conclusion: The wheaten food dietary pattern may increase the risk of obesity and metabolic abnormalities. Therefore, timely interventions should be carried out for this group of people.

Indexed as

Chinadietary patternfactor analysismetabolic syndromeobesity phenotype

Identifiers

PMID39568722
PMCPMC11577167

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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.