Diabetes, Metabolic Syndrome and Obesity (Feb 2023)

Optimal Anthropometric Indicators and Cut Points for Predicting Metabolic Syndrome in Chinese Patients with Type 2 Diabetes Mellitus by Gender

  • Mao J,
  • Gan S,
  • Zhou Q,
  • Zhou H,
  • Deng Z

Journal volume & issue
Vol. Volume 16
pp. 505 – 514

Abstract

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Jing Mao,1,* Shenglian Gan,2,* Quan Zhou,3 Haifeng Zhou,2 Zhiming Deng2 1Nanhua University, Hengyang, People’s Republic of China; 2Department of Endocrinology, The First People’s Hospital of Changde City, Changde, People’s Republic of China; 3Department of Science and Education, The First People’s Hospital of Changde City, Changde, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhiming Deng, Department of Endocrinology, The First People’s Hospital of Changde City, Changde, 415003, People’s Republic of China, Tel +86-13974221766, Email [email protected]: The best predictors and cut points for metabolic syndrome (MetS) in Chinese patients with type 2 diabetes (T2DM) were determined by comparing six anthropometric measures: body mass index (BMI), triglyceride-glucose (TyG), the product of TyG and waist-to-hip ratio (TyG-WHpR), the product of TyG and waist-to-height ratio (TyG-WHtR), the product of TyG and waist circumference (TyG-WC), and the product of TyG and body mass index (TyG-BMI).Patients and Methods: Sixteen hundred and sixty-five adult patients with T2DM were collected, and the ability and cut points of each index to predict MetS were compared by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC) values. Then, logistic regression analysis was used to adjust for confounders, including adjustment for menopause in women, to obtain the odds ratio (OR) and 95% confidence interval (CI).Results: MetS was present in 71.60% of T2DM patients, 75.00% of men, and 67.02% of women. BMI was the best predictor of MetS in men with T2DM (AUC = 0.8646, 95% CI: 0.8379– 0.8912), with a cut point of 24.5500 kg/m2 (specificity: 0.7714; sensitivity: 0.7533), and TyG-WC was the best predictor of MetS in women with T2DM (AUC = 0.8362, 95% CI: 0.8034– 0.8690), with a cut point of 154.1548 (specificity: 0.7455; sensitivity: 0.8076).Conclusion: The best predictor of MetS in adults with T2DM is BMI with a cut point of 24.5500 kg/m2 for men and TyG-WC with a cut point of 154.1548 for women.Keywords: metabolic syndrome, anthropometric indexes, type 2 diabetes, insulin resistance

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