Predictive value of different body obesity measures for nonalcoholic fatty liver disease
10.3760/cma.j.cn115624-20230405-00239
- VernacularTitle:人体肥胖测量指标对非酒精性脂肪性肝病的预测价值
- Author:
Renyuan WANG
1
;
Yajing XIAN
;
Wen CAI
;
Dongling LIN
;
Yufeng LI
;
Ningning HU
;
Sulan LIN
Author Information
1. 新疆医科大学护理学院，乌鲁木齐 830011
- Keywords:
Non-alcoholic fatty liver disease;
Obesity;
Forecasting
- From:
Chinese Journal of Health Management
2023;17(8):591-597
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of different body obesity measures for non-alcoholic fatty liver disease (NAFLD).Methods:It was a cross-sectional study. The present study was a case-control study involving 553 subjects who underwent physical examination from January to April 2022. The subjects were divided into NAFLD group ( n=321 cases) and control group ( n=232 cases) according to abdominal ultrasound imaging parameters. All subjects completed a general information questionnaire, liver ultrasound examination, serum biochemical indices and physical measurements. Logistic regression model was used to analyze the correlation between human obesity measures (neck circumference, triceps skinfold thickness (TSF),body mass index (BMI), waist-to-hip ratio, lipid accumulation index (LAP), visceral fat index (VAI), body roundness index (BRI) and a body shape index (ABSI)) and NAFLD. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive value of single and combined measures of obesity for NAFLD. Results:The subjects were stratified by gender, and the quartile levels of BMI, neck circumference, TSF, waist-to-hip ratio, LAP, VAI and BRI were all correlated with NAFLD in both male and female (all P<0.05). After further adjustment for confounding factors, compared with those in group Q 1, group Q 4 of the above-mentioned indexes still had higher odds ratios ( P<0.05). The AUC value of LAP in predicting NAFLD was the largest in both men and women, which was 0.836(0.788-0.876) and 0.885(0.839-0.921), and the cut-off value was 41.93 and 33.27, respectively. There was no significant difference in AUC of ROC predicting NAFLD among LAP, BRI and BMI ( P>0.05). The AUC of ABSI in predicting NAFLD was less than 0.7(namely 0.584(0.525-0.641) and 0.679(0.618-0.735) in men and women, respectively), which indicated poor predictive performance for NAFLD. In the pairwise combination index, the AUC of ROC predicting NAFLD with TSF+LAP in male was the largest, which was 0.864(0.819-0.901), and there was statistical significance when compared with BRI (AUC=0.818(0.769-0.860)) and BMI (AUC=0.816(0.767-0.858)) ( P<0.05), but there was no statistical significance when compared with LAP (AUC=0.836(0.788-0.876)) ( P>0.05). The AUC of ROC predicting NAFLD with VAI+LAP in women was the largest, it was 0.894(0.849-0.928), there was statistical significance when compared with BMI (AUC=0.849(0.799-0.890)) ( P<0.05), but there was no statistical significance when compared with LAP (AUC=0.885(0.839-0.921)) and BRI (AUC=0.870(0.822-0.908)) ( P>0.05). Conclusion:BMI, neck circumference, TSF, waist-to-hip ratio, LAP, VAI and BRI all have good predictive value for NAFLD.
