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The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling

The aim of this study was to examine the association between dietary patterns and high blood glucose in Jiangsu province of China by using structural equation modelling (SEqM). Methods: Participants in this cross-sectional study were recruited through the 2015 Chinese Adult Chronic Disease and Nutri...

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Autores principales: Wang, Yuanyuan, Xie, Wei, Tian, Ting, Zhang, Jingxian, Zhu, Qianrang, Pan, Da, Xu, Dengfeng, Lu, Yifei, Sun, Guiju, Dai, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570980/
https://www.ncbi.nlm.nih.gov/pubmed/36235763
http://dx.doi.org/10.3390/nu14194111
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author Wang, Yuanyuan
Xie, Wei
Tian, Ting
Zhang, Jingxian
Zhu, Qianrang
Pan, Da
Xu, Dengfeng
Lu, Yifei
Sun, Guiju
Dai, Yue
author_facet Wang, Yuanyuan
Xie, Wei
Tian, Ting
Zhang, Jingxian
Zhu, Qianrang
Pan, Da
Xu, Dengfeng
Lu, Yifei
Sun, Guiju
Dai, Yue
author_sort Wang, Yuanyuan
collection PubMed
description The aim of this study was to examine the association between dietary patterns and high blood glucose in Jiangsu province of China by using structural equation modelling (SEqM). Methods: Participants in this cross-sectional study were recruited through the 2015 Chinese Adult Chronic Disease and Nutrition Surveillance Program in Jiangsu province using a multistage stratified cluster random sampling method. Dietary patterns were defined by exploratory factor analysis (EFA). Confirmatory factor analysis (CFA) was used to test the fitness of EFA. SEqM was used to investigate the association between dietary patterns and high blood glucose. Results: After exclusion, 3137 participants with complete information were analysed for this study. The prevalence of high blood glucose was 9.3% and 8.1% in males and females, respectively. Two dietary patterns: the modern dietary pattern (i.e., high in red meats and its products, vegetables, seafood, condiments, fungi and algae, main grains and poultry; low in other grains, tubers and preserves), and the fruit–milk dietary pattern (i.e., high in milk and its products, fruits, eggs, nuts and seeds and pastry snacks, but low in vegetable oils) were established. Modern dietary pattern was found to be positively associated with high blood glucose in adults in Jiangsu province (multivariate logistic regression: OR = 1.561, 95% CI: 1.025~2.379; SEqM: β = 0.127, p < 0.05). Conclusion: The modern dietary pattern—high intake of red meats—was significantly associated with high blood glucose among adults in Jiangsu province of China, while the fruit–milk dietary pattern was not significantly associated with high blood glucose.
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spelling pubmed-95709802022-10-17 The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling Wang, Yuanyuan Xie, Wei Tian, Ting Zhang, Jingxian Zhu, Qianrang Pan, Da Xu, Dengfeng Lu, Yifei Sun, Guiju Dai, Yue Nutrients Article The aim of this study was to examine the association between dietary patterns and high blood glucose in Jiangsu province of China by using structural equation modelling (SEqM). Methods: Participants in this cross-sectional study were recruited through the 2015 Chinese Adult Chronic Disease and Nutrition Surveillance Program in Jiangsu province using a multistage stratified cluster random sampling method. Dietary patterns were defined by exploratory factor analysis (EFA). Confirmatory factor analysis (CFA) was used to test the fitness of EFA. SEqM was used to investigate the association between dietary patterns and high blood glucose. Results: After exclusion, 3137 participants with complete information were analysed for this study. The prevalence of high blood glucose was 9.3% and 8.1% in males and females, respectively. Two dietary patterns: the modern dietary pattern (i.e., high in red meats and its products, vegetables, seafood, condiments, fungi and algae, main grains and poultry; low in other grains, tubers and preserves), and the fruit–milk dietary pattern (i.e., high in milk and its products, fruits, eggs, nuts and seeds and pastry snacks, but low in vegetable oils) were established. Modern dietary pattern was found to be positively associated with high blood glucose in adults in Jiangsu province (multivariate logistic regression: OR = 1.561, 95% CI: 1.025~2.379; SEqM: β = 0.127, p < 0.05). Conclusion: The modern dietary pattern—high intake of red meats—was significantly associated with high blood glucose among adults in Jiangsu province of China, while the fruit–milk dietary pattern was not significantly associated with high blood glucose. MDPI 2022-10-03 /pmc/articles/PMC9570980/ /pubmed/36235763 http://dx.doi.org/10.3390/nu14194111 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
Wang, Yuanyuan
Xie, Wei
Tian, Ting
Zhang, Jingxian
Zhu, Qianrang
Pan, Da
Xu, Dengfeng
Lu, Yifei
Sun, Guiju
Dai, Yue
The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling
title The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling
title_full The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling
title_fullStr The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling
title_full_unstemmed The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling
title_short The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling
title_sort relationship between dietary patterns and high blood glucose among adults based on structural equation modelling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570980/
https://www.ncbi.nlm.nih.gov/pubmed/36235763
http://dx.doi.org/10.3390/nu14194111
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