Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17

This study was designed to explore the associations between nutrient patterns (NPs) and metabolic syndrome (MetS) and its five components among Chinese children and adolescents aged 7–17. The required data of participants were collected from the China National Nutrition and Health Surveillance of Ch...

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Main Authors: Jia Shi, Hongyun Fang, Xue Cheng, Qiya Guo, Lahong Ju, Wei Piao, Xiaoli Xu, Dongmei Yu, Liyun Zhao, Li He
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/15/1/117
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author Jia Shi
Hongyun Fang
Xue Cheng
Qiya Guo
Lahong Ju
Wei Piao
Xiaoli Xu
Dongmei Yu
Liyun Zhao
Li He
author_facet Jia Shi
Hongyun Fang
Xue Cheng
Qiya Guo
Lahong Ju
Wei Piao
Xiaoli Xu
Dongmei Yu
Liyun Zhao
Li He
author_sort Jia Shi
collection DOAJ
description This study was designed to explore the associations between nutrient patterns (NPs) and metabolic syndrome (MetS) and its five components among Chinese children and adolescents aged 7–17. The required data of participants were collected from the China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016–2017. Ultimately, 13,071 participants were included. Nutrient patterns were obtained by means of factor analysis. Multivariate logistic regression analysis was conducted to evaluate the association between nutrient patterns with MetS and its components. After adjusting covariates, the results of logistic regression models revealed that high-carbohydrate patterns were associated with the presence of abdominal obesity. The high-animal protein pattern was negatively associated with high triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C). The high-sodium-and-fat pattern had a negative relationship with elevated blood pressure (BP) and was positively associated with low HDL-C. The high-Vitamin D-and-Vitamin B<sub>12</sub> pattern had protective effects on MetS, high TG, and low HDL-C. Further large-scale longitudinal investigations are necessary in the future.
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spelling doaj.art-a6bb7feac3f34d8e82c98b79aaa48eb12023-12-02T00:46:01ZengMDPI AGNutrients2072-66432022-12-0115111710.3390/nu15010117Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17Jia Shi0Hongyun Fang1Xue Cheng2Qiya Guo3Lahong Ju4Wei Piao5Xiaoli Xu6Dongmei Yu7Liyun Zhao8Li He9National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, ChinaThis study was designed to explore the associations between nutrient patterns (NPs) and metabolic syndrome (MetS) and its five components among Chinese children and adolescents aged 7–17. The required data of participants were collected from the China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016–2017. Ultimately, 13,071 participants were included. Nutrient patterns were obtained by means of factor analysis. Multivariate logistic regression analysis was conducted to evaluate the association between nutrient patterns with MetS and its components. After adjusting covariates, the results of logistic regression models revealed that high-carbohydrate patterns were associated with the presence of abdominal obesity. The high-animal protein pattern was negatively associated with high triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C). The high-sodium-and-fat pattern had a negative relationship with elevated blood pressure (BP) and was positively associated with low HDL-C. The high-Vitamin D-and-Vitamin B<sub>12</sub> pattern had protective effects on MetS, high TG, and low HDL-C. Further large-scale longitudinal investigations are necessary in the future.https://www.mdpi.com/2072-6643/15/1/117nutrient patternmetabolic syndromechildren and adolescentsChina
spellingShingle Jia Shi
Hongyun Fang
Xue Cheng
Qiya Guo
Lahong Ju
Wei Piao
Xiaoli Xu
Dongmei Yu
Liyun Zhao
Li He
Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17
Nutrients
nutrient pattern
metabolic syndrome
children and adolescents
China
title Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17
title_full Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17
title_fullStr Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17
title_full_unstemmed Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17
title_short Nutrient Patterns and Its Association and Metabolic Syndrome among Chinese Children and Adolescents Aged 7–17
title_sort nutrient patterns and its association and metabolic syndrome among chinese children and adolescents aged 7 17
topic nutrient pattern
metabolic syndrome
children and adolescents
China
url https://www.mdpi.com/2072-6643/15/1/117
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