Evidence map›Paper›PMID 38172729›Full record

ArticleBMC public health2024

Association between cooking patterns and the prevalence of hyperlipidemia in Eastern China.

Bin Cui, Wen Kai Yuan, Linda Dong-Ling Wang, Fu Rong Wang, Jing Peng, Jian Ying Ma, Xiang Chen, Mei Yin Xu, Jun Ke, Yi Tian

Abstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Bin CuiBusiness School of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China. bcui@yzu.edu.cn.
Wen Kai YuanBusiness School of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Linda Dong-Ling WangInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Fu Rong WangSchool of Tourism, Cuisine of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Jing PengSchool of Public Health of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Jian Ying MaSchool of Tourism, Cuisine of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Xiang ChenJiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, 225001, China.
Mei Yin XuBusiness School of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Jun KeBusiness School of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.
Yi TianBusiness School of Yangzhou University, Yangzhou, Jiangsu Province, 225001, China.

Funding

Chinese Nutrition Society- Nutrition Science Popularization and Communication Research Fund CNS- SCP2020-122Open Project Program of Jiangsu Key Laboratory of Zoonosis R2004
6 · The paper itself

Abstract

backgroundHyperlipidemia is a major risk factor for many diseases. Previous studies have shown that diet is closely associated with hyperlipidemia. However, the relationship between cooking methods and hyperlipidemia remains unclear. The objective of this study was to identify the major cooking patterns existing in the Eastern Chinese population and evaluate their association with the prevalence of hyperlipidemia.

methodsWe interviewed 4,710 residents in Eastern China regarding the consumption frequency of each cooking method when they prepare food at home or when eating out and regarding the prevalence of hyperlipidemia. Factor analysis, Chi-square tests, analysis of variance, and binary logistic regression analysis were used to identify the cooking patterns and analyze the characteristics of participants' categories of cooking patterns and the relationship between different cooking patterns and prevalence of hyperlipidemia.

resultsThree major cooking patterns were identified: Traditional Chinese, Bland (little or no oil is used to process the food), and High-temperature cooking patterns. After controlling for potential confounders, participants in the highest quartile of the Bland cooking pattern had lower odds of hyperlipidemia than those in the lowest quartile. Nevertheless, no significant associations were observed between the Traditional Chinese and High-temperature cooking patterns and the prevalence of hyperlipidemia.

conclusionsThis study confirms the association between cooking patterns and the prevalence of hyperlipidemia and indicates that the Bland cooking pattern is associated with a reduced prevalence of hyperlipidemia.

Indexed as

HyperlipidemiasChinaCookingDietHumansPrevalenceRisk FactorsVegetablesCooking patternsEastern ChinaHyperlipidemia

Identifiers

PMID38172729
PMCPMC10763481

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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.