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Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018

It is essential to understand the impact of different dietary pattern trajectories on health over time. Therefore, we aimed to explore the long-term trajectories of dietary patterns among Chinese adults and examine the prospective association between different trajectory groups and the risk of overw...

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Autores principales: Zhang, Jiguo, Wang, Huijun, Wang, Zhihong, Huang, Feifei, Zhang, Xiaofan, Du, Wenwen, Su, Chang, Ouyang, Yifei, Li, Li, Bai, Jing, Zhang, Bing, Du, Shufa, Ding, Gangqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401187/
https://www.ncbi.nlm.nih.gov/pubmed/34444995
http://dx.doi.org/10.3390/nu13082835
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author Zhang, Jiguo
Wang, Huijun
Wang, Zhihong
Huang, Feifei
Zhang, Xiaofan
Du, Wenwen
Su, Chang
Ouyang, Yifei
Li, Li
Bai, Jing
Zhang, Bing
Du, Shufa
Ding, Gangqiang
author_facet Zhang, Jiguo
Wang, Huijun
Wang, Zhihong
Huang, Feifei
Zhang, Xiaofan
Du, Wenwen
Su, Chang
Ouyang, Yifei
Li, Li
Bai, Jing
Zhang, Bing
Du, Shufa
Ding, Gangqiang
author_sort Zhang, Jiguo
collection PubMed
description It is essential to understand the impact of different dietary pattern trajectories on health over time. Therefore, we aimed to explore the long-term trajectories of dietary patterns among Chinese adults and examine the prospective association between different trajectory groups and the risk of overweight/obesity. The sample was 9299 adults aged 18 years or older from the China Health and Nutrition Survey (CHNS) between 1991 and 2018. We used factor analysis to identify dietary patterns and group-based trajectory modeling to identify dietary pattern trajectories. Three trajectories of a southern pattern and a modern pattern and four trajectories of a meat pattern were identified. Participants who followed the highest initial score and a slight decrease trajectory (OR = 1.63; 95% CI: 1.04, 2.54) of the meat dietary pattern were positively associated with risk of overweight/obesity when compared with the lowest initial score trajectory. The southern dietary pattern and the modern dietary pattern trajectories of participants in Group 2 (OR = 0.64; 95% CI: 0.51, 0.81; OR = 0.76; 95% CI: 0.63, 0.91) and Group 3 (OR = 0.71; 95% CI: 0.54, 0.91; OR = 0.64; 95% CI: 0.44, 0.90) were associated with lower risk of overweight/obesity when compared with Group 1. We observed that dietary pattern trajectories have different associations with overweight/obesity among Chinese adults.
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spelling pubmed-84011872021-08-29 Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018 Zhang, Jiguo Wang, Huijun Wang, Zhihong Huang, Feifei Zhang, Xiaofan Du, Wenwen Su, Chang Ouyang, Yifei Li, Li Bai, Jing Zhang, Bing Du, Shufa Ding, Gangqiang Nutrients Article It is essential to understand the impact of different dietary pattern trajectories on health over time. Therefore, we aimed to explore the long-term trajectories of dietary patterns among Chinese adults and examine the prospective association between different trajectory groups and the risk of overweight/obesity. The sample was 9299 adults aged 18 years or older from the China Health and Nutrition Survey (CHNS) between 1991 and 2018. We used factor analysis to identify dietary patterns and group-based trajectory modeling to identify dietary pattern trajectories. Three trajectories of a southern pattern and a modern pattern and four trajectories of a meat pattern were identified. Participants who followed the highest initial score and a slight decrease trajectory (OR = 1.63; 95% CI: 1.04, 2.54) of the meat dietary pattern were positively associated with risk of overweight/obesity when compared with the lowest initial score trajectory. The southern dietary pattern and the modern dietary pattern trajectories of participants in Group 2 (OR = 0.64; 95% CI: 0.51, 0.81; OR = 0.76; 95% CI: 0.63, 0.91) and Group 3 (OR = 0.71; 95% CI: 0.54, 0.91; OR = 0.64; 95% CI: 0.44, 0.90) were associated with lower risk of overweight/obesity when compared with Group 1. We observed that dietary pattern trajectories have different associations with overweight/obesity among Chinese adults. MDPI 2021-08-18 /pmc/articles/PMC8401187/ /pubmed/34444995 http://dx.doi.org/10.3390/nu13082835 Text en © 2021 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
Zhang, Jiguo
Wang, Huijun
Wang, Zhihong
Huang, Feifei
Zhang, Xiaofan
Du, Wenwen
Su, Chang
Ouyang, Yifei
Li, Li
Bai, Jing
Zhang, Bing
Du, Shufa
Ding, Gangqiang
Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018
title Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018
title_full Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018
title_fullStr Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018
title_full_unstemmed Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018
title_short Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018
title_sort trajectories of dietary patterns and their associations with overweight/obesity among chinese adults: china health and nutrition survey 1991–2018
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401187/
https://www.ncbi.nlm.nih.gov/pubmed/34444995
http://dx.doi.org/10.3390/nu13082835
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