Frontiers in Endocrinology (Jan 2024)

Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study

  • Ying Wang,
  • Xiaoyun Zhang,
  • Yuqing Li,
  • Jiaofeng Gui,
  • Yujin Mei,
  • Xue Yang,
  • Haiyang Liu,
  • Lei-lei Guo,
  • Jinlong Li,
  • Yunxiao Lei,
  • Xiaoping Li,
  • Lu Sun,
  • Liu Yang,
  • Ting Yuan,
  • Congzhi Wang,
  • Dongmei Zhang,
  • Jing Li,
  • Mingming Liu,
  • Ying Hua,
  • Lin Zhang

DOI
https://doi.org/10.3389/fendo.2023.1331739
Journal volume & issue
Vol. 14

Abstract

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ObjectiveType 2 diabetes mellitus (T2DM) remains a major and widespread public health concern throughout the world. The prevalence of T2DM in the elderly has risen to the top of the list of public health concerns. In this study, obesity- and lipid-related indices were used to predict T2DM in middle-aged and elderly Chinese adults.MethodsThe data came from the China Health and Retirement Longitudinal Study (CHARLS), including 7902 middle-aged and elderly participants aged 45 years or above. The study assessed the association of obesity- and lipid-related indices and T2DM by measuring 13 indicators, including body mass index (BMI), waist circumference(WC), waist-height ratio (WHtR), conicity index(CI), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The association of 13 obesity- and lipid-related indices with T2DM was investigated by binary logistic regression. Additionally, the predictive anthropometric index was evaluated, and the ideal cut-off value was established using the receiver operating characteristic (ROC) curve analysis and area under the curve (AUC).ResultsThe study included 7902 participants, of whom 3638(46.04) and 4264(53.96) were male and female. The prevalence of T2DM in mid-aged and old adults in China was 9.02% in males and 9.15% in females. All the above 13 indicators show a modest predictive power (AUC>0.5), which was significant for predicting T2DM in adults (middle-aged and elderly people) in China (P<0.05). The results revealed that TyG-WHtR [AUC =0.600, 95%CI: 0.566–0.634] in males and in females [AUC =0.664, 95%CI: 0.636–0.691] was the best predictor of T2DM (P<0.05).ConclusionMost obesity- and lipid-related indices have important value in predicting T2DM. Our results can provide measures for the early identification of T2DM in mid-aged and elderly Chinese to reduce the prevalence of T2DM and improve health.

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