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- Title
Association of Dietary Patterns with Metabolic Syndrome in Chinese Children and Adolescents Aged 7–17: The China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016–2017.
- Authors
Shi, Jia; Fang, Hongyun; Guo, Qiya; Yu, Dongmei; Ju, Lahong; Cheng, Xue; Piao, Wei; Xu, Xiaoli; Li, Zizi; Mu, Di; Zhao, Liyun; He, Li
- Abstract
This study aims to determine the associations of dietary patterns with metabolic syndrome (MetS) and its components in Chinese children and adolescents aged 7–17 in 2016–2017. Using the data from the China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016–2017, the sociodemographic information, diet, anthropometric measurements and clinical examinations of subjects were obtained, and a total of 13,071 school-aged children and adolescents were included in this study. The Cook criteria were used to define MetS and its components. Dietary intake was derived from 24-h dietary records for three consecutive days, combined with the weighing method. Factor analysis was used to identify major dietary patterns. The associations of dietary patterns with MetS and its components were examined by logistic regression analysis. Consequently, five distinct dietary patterns were identified by factor analysis, and the relationships between dietary patterns with MetS and its components were observed. After adjusting for covariates, the animal product and vegetable patterns may have a positive association with MetS; the condiment pattern was positively associated with low HDL-C; the fruit and junk food patterns had positive relationships with MetS, abdominal obesity and high TG; the cereals and tubers pattern was positively associated with MetS, abdominal obesity, high TG and low HDL-C; the beans pattern was positively associated with high TG.
- Subjects
CHINA; FOOD habits; HDL cholesterol; OBESITY; TRIGLYCERIDES; MEAT; VEGETABLES; CONVENIENCE foods; DIET; RISK assessment; METABOLIC syndrome; FACTOR analysis; FRUIT; LOGISTIC regression analysis; GRAIN
- Publication
Nutrients, 2022, Vol 14, Issue 17, p3524
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu14173524