Association of whole blood copper, magnesium and zinc levels with metabolic syndrome components in 6–12-year-old rural Chinese children: 2010–2012 China National Nutrition and Health Survey

Author:

Zhang Huidi,Man Qingqing,Song Pengkun,Li Siran,Liu Xiaobing,Wang Lijuan,Li Yuqian,Hu Yichun,Yang LichenORCID

Abstract

Abstract Background Metabolic syndrome (MetS) is significantly associated with the risk of cardiovascular disease and its prevalence is showing a trend of getting younger. Previous studies on the relationship between elements and MetS were mostly reported in adults with single element analysis, while reports in children with combined effects of multiple elements were very limited. The aim of this study is to investigate the association between whole blood Cu, Mg and Zn in both single and combined effects and MetS components in rural Chinese children aged 6–12 years based on the data from 2010–2012 China National Nutrition and Health Survey. Methods A total of 911 children (51.2% male, 48.7% female) aged 6–12 years were included. Basic characteristics and MetS component parameters were collected and determined by trained stuffs. Elements were detected by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Multivariate logistic regression analysis was performed to examine the independent relationship between elements and MetS components. Results In single metal analysis, copper was positively associated with elevated waist (OR = 2.00, 1.18–3.28) and all of the metals were associated with elevated TG. And the comprehensive analysis of multiple elements were mostly consistent with the results of single element analysis (low Cu + high Zn with elevated TG (OR = 2.21, 1.18–4.13), high Cu + low Mg with elevated TG (OR = 0.40, 0.16–0.95), high Cu + high Mg with elevated waist (OR = 2.03, 1.26–3.27)), except the combination of Zn and Mg (high Zn + low Mg with reduced HDL-C (OR = 0.47, 0.28–0.77)). Conclusions Our study suggested Cu, Zn and Mg in children are indeed associated with metabolic syndrome components, whether in single element or multi-element combined analysis. The results will be confirmed through additional cohort research.

Funder

Study of Diet and Nutrition Assessment and Intervention Technology

Publisher

Springer Science and Business Media LLC

Subject

Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

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