The Association between Metabolic Syndrome and Biochemical Markers in Beijing Adolescents

Yao Zhao, Yingjie Yu, Hong Li, Mingying Li, Dongran Zhang, Dandan Guo, Xiaohui Yu, Ce Lu and Hui Wang
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Yao Zhao: Department of Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, Beijing100013, China
Yingjie Yu: Department of Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, Beijing100013, China
Hong Li: Department of Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, Beijing100013, China
Mingying Li: Department of Nutrition and Food Hygiene, Center for Disease Control and Prevention of Xicheng District, Beijing 100013, China
Dongran Zhang: Department of Nutrition and Food Hygiene, Center for Disease Control and Prevention of Fangshan District, Beijing 100013, China
Dandan Guo: Department of Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, Beijing100013, China
Xiaohui Yu: Department of Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, Beijing100013, China
Ce Lu: Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, No.101 Longmian Ave, Jiangning District, Nanjing 211166, China
Hui Wang: Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, No.101 Longmian Ave, Jiangning District, Nanjing 211166, China

IJERPH, 2019, vol. 16, issue 22, 1-10

Abstract: Objective: To describe the prevalence of metabolic syndrome (MetS) in adolescents and its association with several MetS-related biochemical markers. Methods: A cross-sectional analysis was carried out and data were extracted from the Nutrition and Health Surveillance in Primary and Secondary school students of Beijing (NHSPSB) 2017. Participants were aged 10–15 years old. MetS was diagnosed using the recommended criteria for Chinese adolescents. The associations among MetS, biochemical biomarkers, and socioeconomic status were estimated by multivariable linear regression. Results: The prevalence of MetS in adolescents in Beijing was 3% in the total sample, 4% in boys, and 2% in girls. Moreover, the prevalence of MetS in the overweight and obesity populations were 5% and 12% respectively. The prevalence of MetS remained higher in boys than in girls. The concentrations of alanine aminotransferase (ALT), serum uric acid (SUA), low density lipoprotein (LDL), and C-reactive protein (CRP) were higher in the MetS children in comparison with non-MetS children (All p < 0.05), while the high-density lipoprotein (HDL) concentration was lower in MetS children. After adjusting for socioeconomic parameters in the multivariable regression model, MetS was strongly associated with ALT, SUA, HDL, and LDL. The five components of MetS indicated that abdominal obesity and a high serum triglyceride (TG) concentration were tightly linked with ALT, SUA, LDL, and CRP; while a low HDL concentration and elevated blood pressure were related to enhanced ALT, UA, and CRP. Additionally, impaired fasting glucose was only related to increased ALT. Conclusion: The epidemiological issues of MetS in Beijing adolescents should be known across socioeconomic classes. Early intervention strategies, such as dietary pattern interventions and physical excise, should be designed for that population to reduce the disease burdens of cardiovascular disease (CVD), Type 2 diabetes (T2D), and steatohepatitis in adulthood.

Keywords: MetS; ALT; SUA; CRP; LDL; adolescent (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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