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

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 Screen...

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Autores principales: Yu, Huan, Wen, Qiaorui, Lv, Jun, Sun, Dianjianyi, Ma, Yuan, Man, Sailimai, Yin, Jianchun, Tong, Mingkun, Wang, Bo, Yu, Canqing, Li, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268474/
https://www.ncbi.nlm.nih.gov/pubmed/35807747
http://dx.doi.org/10.3390/nu14132566
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author Yu, Huan
Wen, Qiaorui
Lv, Jun
Sun, Dianjianyi
Ma, Yuan
Man, Sailimai
Yin, Jianchun
Tong, Mingkun
Wang, Bo
Yu, Canqing
Li, Liming
author_facet Yu, Huan
Wen, Qiaorui
Lv, Jun
Sun, Dianjianyi
Ma, Yuan
Man, Sailimai
Yin, Jianchun
Tong, Mingkun
Wang, Bo
Yu, Canqing
Li, Liming
author_sort Yu, Huan
collection PubMed
description 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.
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spelling pubmed-92684742022-07-09 Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population Yu, Huan Wen, Qiaorui Lv, Jun Sun, Dianjianyi Ma, Yuan Man, Sailimai Yin, Jianchun Tong, Mingkun Wang, Bo Yu, Canqing Li, Liming Nutrients Article 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. MDPI 2022-06-21 /pmc/articles/PMC9268474/ /pubmed/35807747 http://dx.doi.org/10.3390/nu14132566 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Huan
Wen, Qiaorui
Lv, Jun
Sun, Dianjianyi
Ma, Yuan
Man, Sailimai
Yin, Jianchun
Tong, Mingkun
Wang, Bo
Yu, Canqing
Li, Liming
Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population
title Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population
title_full Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population
title_fullStr Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population
title_full_unstemmed Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population
title_short Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population
title_sort association between dietary patterns reflecting c-reactive protein and metabolic syndrome in the chinese population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268474/
https://www.ncbi.nlm.nih.gov/pubmed/35807747
http://dx.doi.org/10.3390/nu14132566
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