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Role of Body Mass Index, Waist-to-Height and Waist-to-Hip Ratio in Prediction of Nonalcoholic Fatty Liver Disease.

Zheng RD, Chen ZR, Chen JN, Lu YH, Chen J - Gastroenterol Res Pract (2012)

Bottom Line: Objective.M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors.Conclusion.

View Article: PubMed Central - PubMed

Affiliation: Research and Therapy Center for Liver Disease, The Affiliated Dongnan Hospital of Xiamen University, Fujian, Zhangzhou 363000, China.

ABSTRACT
Objective. To investigate the anthropometric indicators that can effectively predict the nonalcoholic fatty liver disease (NAFLD). Methods. The height, body weight, waist and hip circumference were measured, and body mass index (BMI), waist-to-height (WHtR) and waist-to-hip ratio (WHR) were calculated. M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors. Patients or Materials. 490 patients were recruited, of whom 250 were diagnosed as NAFLD and 240 as non-NAFLD (control group). Results. Compared with the control group, the BMI, WHR, and WHtR were significantly higher in patients with NAFLD. Logistic regression analysis showed that BMI and WHR were effective prognostic factors of NAFLD. In addition, WHR plays a more important role in prediction of NAFLD by the area under curve. Conclusion. WHR is closely related to the occurrence of NAFLD. We assume that WHR is beneficial for the diagnosis NAFLD.

No MeSH data available.


Related in: MedlinePlus

ROC curve analysis of NAFLD-related indicators. (a) BMI; (b) WHR; (c) WHtR; (d) WC.
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fig1: ROC curve analysis of NAFLD-related indicators. (a) BMI; (b) WHR; (c) WHtR; (d) WC.

Mentions: BMI (AUC = 0.854, Figure 1(a)), WHR (AUC = 0.916, Figure 1(b)), WHtR (AUC = 0.878, Figure 1(c)), and WC (AUC = 0.876, Figure 1(d)) had diagnostic value for NAFLD and the WHR had the largest AUC and the highest diagnostic value. When the cutoff value was 0.891, the Youden index (sum of sensitivity [0.987] and specificity [0.660]) was the largest (Table 7).


Role of Body Mass Index, Waist-to-Height and Waist-to-Hip Ratio in Prediction of Nonalcoholic Fatty Liver Disease.

Zheng RD, Chen ZR, Chen JN, Lu YH, Chen J - Gastroenterol Res Pract (2012)

ROC curve analysis of NAFLD-related indicators. (a) BMI; (b) WHR; (c) WHtR; (d) WC.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3369513&req=5

fig1: ROC curve analysis of NAFLD-related indicators. (a) BMI; (b) WHR; (c) WHtR; (d) WC.
Mentions: BMI (AUC = 0.854, Figure 1(a)), WHR (AUC = 0.916, Figure 1(b)), WHtR (AUC = 0.878, Figure 1(c)), and WC (AUC = 0.876, Figure 1(d)) had diagnostic value for NAFLD and the WHR had the largest AUC and the highest diagnostic value. When the cutoff value was 0.891, the Youden index (sum of sensitivity [0.987] and specificity [0.660]) was the largest (Table 7).

Bottom Line: Objective.M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors.Conclusion.

View Article: PubMed Central - PubMed

Affiliation: Research and Therapy Center for Liver Disease, The Affiliated Dongnan Hospital of Xiamen University, Fujian, Zhangzhou 363000, China.

ABSTRACT
Objective. To investigate the anthropometric indicators that can effectively predict the nonalcoholic fatty liver disease (NAFLD). Methods. The height, body weight, waist and hip circumference were measured, and body mass index (BMI), waist-to-height (WHtR) and waist-to-hip ratio (WHR) were calculated. M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors. Patients or Materials. 490 patients were recruited, of whom 250 were diagnosed as NAFLD and 240 as non-NAFLD (control group). Results. Compared with the control group, the BMI, WHR, and WHtR were significantly higher in patients with NAFLD. Logistic regression analysis showed that BMI and WHR were effective prognostic factors of NAFLD. In addition, WHR plays a more important role in prediction of NAFLD by the area under curve. Conclusion. WHR is closely related to the occurrence of NAFLD. We assume that WHR is beneficial for the diagnosis NAFLD.

No MeSH data available.


Related in: MedlinePlus