Literature DB >> 28592095

[The epidemic status of metabolic syndrome among Chinese adolescents aged 10-17 years in 2010-2012].

Y N He1, W H Zhao, L Y Zhao, D M Yu, J Zhang, W T Yu, X G Yang, G G Ding.   

Abstract

Objective: To invesigate the epidemic status of the metabolic syndrome (MS) among mainland Chinese adolescents aged 10-17 in 2010-2012.
Methods: Data were collected from Chinese Nutrition and Health Surveillance in 2010-2012. Multi-stage stratified proportion to the population cluster random sampling method was conducted to determine 16 872 adolescents in 150 counties from 31 provinces in mainland China. The epidemic status of metabolic syndrome was analyzed by China criterion (defined by Chinese Pediatric Society, Chinese Medical Association) and Cook criterion, respectively. The prevalence of MS and 95%CI were calculated through weighted complex sampling processing by population data released by the National Bureau of Statistics in 2009.
Results: Based on China criterion, the weighted prevalence of MS was 2.4% (95% CI: 2.1%-2.6%) among Chinese adolescents aged 10-17. Prevalence in urban was higher than in rural (2.8%, 95%CI: 2.4%-3.2% and 1.9%, 95%CI:1.6%-2.3%, respectively). Prevalence in boys and girls were 2.7% (95% CI: 2.3%-3.0%), and 2.0% (95% CI: 1.7%-2.4%), respectively. Based on Cook criterion, the weighted prevalence was 4.3% (95% CI: 4.0%-4.7%) . The highest weighted prevalence of the components of the metabolic syndrome was low high-density lipoprotein cholesterol (26.8%, 95% CI: 26.0%-27.5%), followed by high fasting glucose (11.5%, 95% CI: 11.0%-12.0%), abdominal obesity (11.1%, 95%CI: 10.6%-11.7%) , hypertriglyceridemia (8.8%, 95%CI: 8.4%-9.3%) , and high blood pressure (6.4%, 95% CI: 6.0%-6.8%).
Conclusion: Among the five indicators of metabolic syndrome, the prevalence of central obesity and hypertriglyceridemia were relative high in Chinese adolescents aged 10-17 years, though the prevalence of metabolic syndrome was not high.

Entities:  

Keywords:  Adolescent; Child; Metabolic syndrome X; Prevalence

Mesh:

Substances:

Year:  2017        PMID: 28592095     DOI: 10.3760/cma.j.issn.0253-9624.2017.06.011

Source DB:  PubMed          Journal:  Zhonghua Yu Fang Yi Xue Za Zhi        ISSN: 0253-9624


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