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

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 w...

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Bibliographic Details
Published in:Diabetes, metabolic syndrome and obesity metabolic syndrome and obesity, 2023-01, Vol.16, p.505-514
Main Authors: Mao, Jing, Gan, Shenglian, Zhou, Quan, Zhou, Haifeng, Deng, Zhiming
Format: Article
Language:English
Subjects:
anthropometric indexes
Blood pressure
Body mass index
Body measurements
Cholesterol
Comparative analysis
Diabetes
Drugs
Gender
Glucose
High density lipoprotein
Hypertension
Insulin resistance
Medical research
Medicine, Experimental
Metabolic syndrome
Original Research
Peptides
Type 2 diabetes
Womens health
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Summary: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). 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). 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/m (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). The best predictor of MetS in adults with T2DM is BMI with a cut point of 24.5500 kg/m for men and TyG-WC with a cut point of 154.1548 for women.
ISSN:1178-7007
1178-7007
DOI:10.2147/DMSO.S399275