Dose-response relationship of elements with blood lipids and the potential interaction: A cross-sectional study from four areas with different pollution levels in China

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Chen, Shaoyi;Zhang, Muyang;Duan, Lidan;Chen, Meiling;Du, Yuwei;...

通讯作者：

Duan, YY

作者机构：

[Cao, Yuhan; Chen, Shaoyi; Duan, Yanying; Zhang, Muyang; Du, Yuwei; Chen, Meiling; Duan, Lidan] Cent South Univ, Xiangya Sch Publ Hlth, Dept Occupat & Environm Hlth, Changsha 410078, Peoples R China.

[Huang, Zhijun] Cent South Univ, Xiangya Hosp 3, Ctr Clin Pharmacol, Changsha 410013, Peoples R China.

[Zhao, Jia] Hunan Agr Univ, Coll Resource & Environm, Environm Sci & Engn, Changsha 410128, Peoples R China.

[Duan, Yanying] Cent South Univ, Xiangya Sch Publ Hlth, Changsha 410078, Peoples R China.

通讯机构：

[Duan, YY ] C

Cent South Univ, Xiangya Sch Publ Hlth, Changsha 410078, Peoples R China.

语种：

英文

关键词：

Dyslipidemia;Element;Exposure-response curve;Interaction

期刊：

Journal of Trace Elements in Medicine and Biology

ISSN：

0946-672X

年：

2023

卷：

页码：

127206

DOI：

10.1016/j.jtemb.2023.127206

基金类别：

National Key Research and Development Program Precision Medicine Initiative of China [2016YFC0900802]; National Basic Work of Science and Technology of China [2015FY111100]

机构署名：

本校为其他机构

院系归属：

资源环境学院

摘要：

BACKGROUND: A growing number of researches indicated the association between plasma trace elements and blood lipids. However, the potential interaction and dose-response relationship were less frequently reported. METHODS: In this study, a total of 3548 participants were recruited from four counties in Hunan Province, South China. Demographic characteristics were collected by face-to-face interviews and inductively coupled plasma mass spectrometry (ICPMS) was used to determine the levels of 23 trace elements in plasma. We applied a fully adjusted generalized linear regression model (GLM) and a...

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Dose-response relationship of elements with blood lipids and the potential interaction: A cross-sectional study from four areas with different pollution levels in China

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