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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Clinical Diabetes

Association between plasma magnesium levels and glycolipid metabolism in a Southern Chinese Population: A Cross-Sectional Study in Shenzhen

Provisionally accepted
Meilin  LiMeilin Li1Die  HuDie Hu2Ziyang  ZouZiyang Zou3Jiaxin  ChenJiaxin Chen1Dongju  ZouDongju Zou4Yanwei  ZhangYanwei Zhang3Jing-Jun  HanJing-Jun Han5Jinling  LiuJinling Liu4Yanan  KuangYanan Kuang4Baosen  YanBaosen Yan4Jinquan  ChengJinquan Cheng3Ziquan  LvZiquan Lv3Xiao  ChenXiao Chen1,3*Suli  HuangSuli Huang4*
  • 1School of Public Health, Shanxi Medical University, Taiyuan, China
  • 2Hefei Center for Disease Control and Prevention, Hefei, China
  • 3Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • 4School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen, China
  • 5Department of Thoracic Surgery, The Eighth Affiliated Hospital, Sun Yet-Sen University, Shenzhen, China

The final, formatted version of the article will be published soon.

Background: Numerous studies have delved into the relationship between magnesium (Mg) and metabolic diseases, however, the impact of Mg on novel glycolipid metabolic indicators remains largely unexplored. This study aims to conduct a comprehensive evaluation of the relationship between plasma Mg levels and glycolipid metabolism among a general population in Shenzhen, China. Methods: A cross-sectional study was performed in 1,429 adults who underwent medical check-ups at a hospital in Shenzhen, China. Plasma Mg levels were measured using inductively coupled plasma mass spectrometry (ICP-MS). To investigate the association between plasma Mg levels and glycolipid metabolism indicators, the multivariate linear and logistic regression models, along with the restricted cubic spline (RCS) model were employed. Results: Regarding to the glucose indicators, plasma Mg showed a negative linear association with the triglyceride-glucose index adjusted for Body Mass Index (TyG-BMI) and a positive linear association with the single point insulin sensitivity estimator (SPISE), while demonstrating a negative non-linear association with fasting blood glucose (FBG) and the metabolic score for insulin resistance (METS-IR). For lipid indicators, Mg exhibited a negative linear association with the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol ratio (HDL-c), while the LDL-c/HDL-c ratio showed a V-shaped non-linear relationship with Mg. Furthermore, the level of Mg exhibited a negative linear association with diabetes and a V-shaped non-linear association with hyperlipidemia. Conclusions: Mg plays a critical role in the glucose and lipid metabolism, particularly highlighting its association with the novel indicators for glycolipid metabolism. The results of our study need to be confirmed in large-scale prospective research in the future. Keywords: magnesium; glycolipid metabolism; diabetes; hyperlipidemia; glycolipid indicators

Keywords: diabetes, glycolipid indicators, Glycolipid metabolism, Hyperlipidemia, Magnesium

Received: 25 Jul 2025; Accepted: 05 Feb 2026.

Copyright: © 2026 Li, Hu, Zou, Chen, Zou, Zhang, Han, Liu, Kuang, Yan, Cheng, Lv, Chen and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xiao Chen
Suli Huang

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