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Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study

Studies on macronutrient intake and obesity have been inconclusive. This study examined the associations between multi-trajectories of macronutrients and the risk of obesity in China. We used data from 7914 adults who participated in the China Health and Nutrition Survey at least three times from 19...

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Autores principales: Zhang, Xiaofan, Zhang, Jiguo, Du, Wenwen, Su, Chang, Ouyang, Yifei, Huang, Feifei, Jia, Xiaofang, Li, Li, Bai, Jing, Zhang, Bing, Wang, Zhihong, Du, Shufa, Wang, Huijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746800/
https://www.ncbi.nlm.nih.gov/pubmed/35010888
http://dx.doi.org/10.3390/nu14010013
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author Zhang, Xiaofan
Zhang, Jiguo
Du, Wenwen
Su, Chang
Ouyang, Yifei
Huang, Feifei
Jia, Xiaofang
Li, Li
Bai, Jing
Zhang, Bing
Wang, Zhihong
Du, Shufa
Wang, Huijun
author_facet Zhang, Xiaofan
Zhang, Jiguo
Du, Wenwen
Su, Chang
Ouyang, Yifei
Huang, Feifei
Jia, Xiaofang
Li, Li
Bai, Jing
Zhang, Bing
Wang, Zhihong
Du, Shufa
Wang, Huijun
author_sort Zhang, Xiaofan
collection PubMed
description Studies on macronutrient intake and obesity have been inconclusive. This study examined the associations between multi-trajectories of macronutrients and the risk of obesity in China. We used data from 7914 adults who participated in the China Health and Nutrition Survey at least three times from 1991 to 2018. We collected detailed dietary data by conducting three 24 h dietary recalls and weighing foods and condiments in household inventories. We identified multi-trajectories using group-based multi-trajectory models and examined their associations with the risk of obesity with multiple Cox regression models. We found four multi-trajectories in rural areas: balanced macronutrient intake (BM), moderate protein, increasing low fat, and decreasing high carbohydrate (MP&ILF&DHC); decreasing moderate protein, decreasing high fat, and increasing moderate carbohydrate (DMP&DHF&IMC); increasing moderate protein, increasing high fat, and decreasing low carbohydrate (IMP&IHF&DLC)—35.1%, 21.3%, 20.1%, and 23.5% of our rural participant population, respectively. Compared with the BM trajectory, the hazard ratios of obesity in the DMP&DHF&IMC and the IMP&IHF&DLC groups were 0.50 (95% confidence interval (CI): 0.27–0.95) and 0.48 (95% CI: 0.28–0.83), respectively, in rural participants. Relatively low carbohydrate and high fat intakes with complementary dynamic trends are associated with a lower risk of obesity in rural Chinese adults.
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spelling pubmed-87468002022-01-11 Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study Zhang, Xiaofan Zhang, Jiguo Du, Wenwen Su, Chang Ouyang, Yifei Huang, Feifei Jia, Xiaofang Li, Li Bai, Jing Zhang, Bing Wang, Zhihong Du, Shufa Wang, Huijun Nutrients Article Studies on macronutrient intake and obesity have been inconclusive. This study examined the associations between multi-trajectories of macronutrients and the risk of obesity in China. We used data from 7914 adults who participated in the China Health and Nutrition Survey at least three times from 1991 to 2018. We collected detailed dietary data by conducting three 24 h dietary recalls and weighing foods and condiments in household inventories. We identified multi-trajectories using group-based multi-trajectory models and examined their associations with the risk of obesity with multiple Cox regression models. We found four multi-trajectories in rural areas: balanced macronutrient intake (BM), moderate protein, increasing low fat, and decreasing high carbohydrate (MP&ILF&DHC); decreasing moderate protein, decreasing high fat, and increasing moderate carbohydrate (DMP&DHF&IMC); increasing moderate protein, increasing high fat, and decreasing low carbohydrate (IMP&IHF&DLC)—35.1%, 21.3%, 20.1%, and 23.5% of our rural participant population, respectively. Compared with the BM trajectory, the hazard ratios of obesity in the DMP&DHF&IMC and the IMP&IHF&DLC groups were 0.50 (95% confidence interval (CI): 0.27–0.95) and 0.48 (95% CI: 0.28–0.83), respectively, in rural participants. Relatively low carbohydrate and high fat intakes with complementary dynamic trends are associated with a lower risk of obesity in rural Chinese adults. MDPI 2021-12-21 /pmc/articles/PMC8746800/ /pubmed/35010888 http://dx.doi.org/10.3390/nu14010013 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, Xiaofan
Zhang, Jiguo
Du, Wenwen
Su, Chang
Ouyang, Yifei
Huang, Feifei
Jia, Xiaofang
Li, Li
Bai, Jing
Zhang, Bing
Wang, Zhihong
Du, Shufa
Wang, Huijun
Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study
title Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study
title_full Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study
title_fullStr Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study
title_full_unstemmed Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study
title_short Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study
title_sort multi-trajectories of macronutrient intake and their associations with obesity among chinese adults from 1991 to 2018: a prospective study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746800/
https://www.ncbi.nlm.nih.gov/pubmed/35010888
http://dx.doi.org/10.3390/nu14010013
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