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CN 34-1304/RISSN 1674-3679

Volume 29 Issue 2
Feb.  2025
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Article Contents
YANG Yuchao, LYU Deliang, WU Xiaobing, XIE Fengzhu, SHANG Qinggang, XIE Wei, ZHAO Zhiguang. Association between novel blood lipid indicators and risk of diabetes among Shenzhen residents[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(2): 139-144. doi: 10.16462/j.cnki.zhjbkz.2025.02.003
Citation: YANG Yuchao, LYU Deliang, WU Xiaobing, XIE Fengzhu, SHANG Qinggang, XIE Wei, ZHAO Zhiguang. Association between novel blood lipid indicators and risk of diabetes among Shenzhen residents[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(2): 139-144. doi: 10.16462/j.cnki.zhjbkz.2025.02.003

Association between novel blood lipid indicators and risk of diabetes among Shenzhen residents

doi: 10.16462/j.cnki.zhjbkz.2025.02.003
Funds:

The Sanming Project of Medicine in Shenzhen SZSM202311019

The Shenzhen Medical Key Discipline Construction Fund SZXK065

More Information
  • Corresponding author: ZHAO Zhiguang, E-mail: 1498384005@qq.com
  • Received Date: 2024-05-21
  • Rev Recd Date: 2024-12-26
  • Available Online: 2025-03-08
  • Publish Date: 2025-02-10
  •   Objective  This study aimed to explore the association between novel lipid indicators, triglyceride glucose (TyG) index, lipid accumulation product (LAP), and visceral adiposity index (VAI) and the risk of diabetes among residents in Shenzhen, providing a reference for the early prediction and warning of diabetes.  Methods  A cross-sectional survey on cardiovascular and cerebrovascular diseases and their risk factors among residents in Shenzhen was conducted from April to October 2021. Through multi-stage stratified cluster random sampling, face-to-face questionnaire filling, physical examinations, and laboratory tests were adopted to collect indicators such as waist circumference (WC), BMI, fasting plasma glucose (FPG), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C). According to the quartile intervals of the novel lipid indicators of the study subjects, they were divided into Q1, Q2, Q3, and Q4 groups. The odds ratio (OR) and its 95% confidence interval (95% CI) of the novel lipid indicators and diabetes were calculated using the logistic regression model, and the potential linear association was analyzed using the restricted cubic spline (RCS) model.  Results  Finally, 5 324 residents were selected in this study, among them, there were 378 diabetic patients (7.10%) and 4 946 non-diabetic patients (92.90%). After adjusting for potential confounding factors in the logistic regression model, for TyG, compared with the Q1 group (≤8.16), the risk of diabetes in the Q4 group (>8.94) increased (OR=8.85, 95% CI: 5.05-16.81); for LAP, compared with the Q1 group (≤12.69), the risk of diabetes in the Q4 group (>34.82) also increased (OR=3.30, 95% CI: 1.85-6.23); for VAI, the risk of diabetes in the Q4 group (>1.85) was 1.31 times than that of the Q1 group (≤0.93) (OR=2.31, 95% CI: 1.54-3.53). The results of the RCS model showed that the associations of TyG, LAP, and VAI with the risk of diabetes were nonlinear (P < 0.05).  Conclusions  TyG, LAP and VAI are positively correlated with the risk of diabetes and can be used as assessment indicators for the risk of diabetes.
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