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内脏脂肪面积与臀围比值与胰岛素抵抗的性别差异
Authors Cao H, Huang X, Luo B , Shi W, Li H, Shi R
Received 25 July 2024
Accepted for publication 16 October 2024
Published 22 October 2024 Volume 2024:17 Pages 3935—3942
DOI https://doi.org/10.2147/DMSO.S482820
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Konstantinos Tziomalos
Huiying Cao,1,* Xuan Huang,1 Beibei Luo,2,* Wei Shi,1 Huan Li,1 Rui Shi2
1Clinical Laboratory, The First People’s Hospital of Honghe State, Honghe State, Yunnan Province, People’s Republic of China; 2Clinical Laboratory, People’s Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xuan Huang, Clinical Laboratory, The First People’s Hospital of Honghe State, Honghe State, Yunnan Province, People’s Republic of China, Email 13466271884@163.com Beibei Luo, Clinical Laboratory, People’s Hospital of Yuxi City, the Sixth Affiliated Hospital of Kunming Medical University, 21 Nieer Road, Yuxi City, Yunnan Province, 653100, People’s Republic of China, Email bob1593650@163.com
Introduction: Not all type 2 diabetes mellitus (T2DM) patients exhibit insulin resistance (IR). Our objective is to identify the most effective sex-specific index for predicting IR in T2DM. This will be achieved through a comparative analysis of the sex-specific attributes of waist to hip circumference ratio (WHR), visceral fat area to hip circumference ratio (VHR), and visceral fat area to subcutaneous fat area ratio (VSR).
Methods: Receiver operating characteristic curve analysis was conducted to estimate the area under the curve for WHR, VHR, and VSR. Subsequently, logistic regression was employed to analyze the relationship between VHR and IR.
Results: There were significant differences between males and females in anthropometric measurements, biochemical data, and obesity prevalence. ROC analysis revealed that the area under the curve (AUC) for predicting male IR was 0.67, 0.71, and 0.62 for WHR, VHR, and VSR, respectively. For females, the AUC values were 0.63, 0.69, and 0.60, respectively. In multivariate logistic regression analysis, adjusting for confounding factors, compared to the lowest tertile of VHR, the odds ratio (OR) of the highest tertile was 2.2 (95% CI: 1.47– 3.3, P< 0.001) for males and 2.1 (95% CI: 1.24– 3.57, P=0.005) for females.
Conclusion: VHR emerges as the most reliable predictor of IR risk in individuals with T2DM.
Keywords: insulin resistance, diabetes, hip circumference, visceral fat area