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ORIGINAL RESEARCH

Chinese Visceral Adipose Index Shows Superior Diagnostic Performance in Predicting the Risk of Metabolic Dysfunction Associated Fatty Liver Disease in Early Postmenopausal Chinese Women

ORCID Icon, , ORCID Icon, &
Pages 607-617 | Received 27 Dec 2022, Accepted 24 Feb 2023, Published online: 06 Mar 2023

Figures & data

Table 1 Baseline Characteristics of the Study Population

Table 2 Association Between Six Obesity Indices and Risk of MAFLD in the Lean and Obese Subjects

Figure 1 Dose-response relationship between obesity indices and the risk of MAFLD in the lean and overweight/obese group of early postmenopausal women after adjusting for parameters such as diabetes, hypertension, LDLC, HDLC, TG, AST, ALT WBC, NE, and UA. The solid line represents obesity index values when OR is equal to 1. The red line represents mean OR values. The area between the dashed lines represents the 95% confidence interval (CI) values of OR.

Figure 1 Dose-response relationship between obesity indices and the risk of MAFLD in the lean and overweight/obese group of early postmenopausal women after adjusting for parameters such as diabetes, hypertension, LDLC, HDLC, TG, AST, ALT WBC, NE, and UA. The solid line represents obesity index values when OR is equal to 1. The red line represents mean OR values. The area between the dashed lines represents the 95% confidence interval (CI) values of OR.

Table 3 Cut-off Points and AUC (95% CI) Values of Different Obesity Indices for Predicting MAFLD in Early Postmenopausal Women

Figure 2 ROC curves to estimate the predictive value of obesity indices for MAFLD among lean subjects.

Figure 2 ROC curves to estimate the predictive value of obesity indices for MAFLD among lean subjects.

Figure 3 ROC curves to estimate the predictive value of the obesity indices for MAFLD in obese subjects.

Figure 3 ROC curves to estimate the predictive value of the obesity indices for MAFLD in obese subjects.