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Optimal Anthropometric Indicators and Cut Points for Predicting Metabolic Syndrome in Chinese Patients with Type 2 Diabetes Mellitus by Gender.
| Content Provider | Europe PMC |
|---|---|
| Author | Mao, Jing Gan, Shenglian Zhou, Quan Zhou, Haifeng Deng, Zhiming |
| Copyright Year | 2023 |
| Abstract | PurposeThe 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 MethodsSixteen 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).ResultsMetS 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).ConclusionThe 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. |
| Related Links | https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9961221&blobtype=pdf |
| Page Count | 10 |
| Journal | Diabetes, Metabolic Syndrome and Obesity [Diabetes Metab Syndr Obes] |
| Volume Number | 16 |
| PubMed Central reference number | PMC9961221 |
| PubMed reference number | 36852179 |
| e-ISSN | 11787007 |
| DOI | 10.2147/dmso.s399275 |
| Language | English |
| Publisher | Dove |
| Publisher Date | 2023-02-21 |
| Access Restriction | Open |
| Rights License | This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). © 2023 Mao et al. |
| Subject Keyword | metabolic syndrome anthropometric indexes type 2 diabetes insulin resistance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Internal Medicine Pharmacology |
