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Objectives:To investigate the relationship between visceral adipose index and glomerular filtration rate in patients with type 2 diabetes mellitus.Methods:A total of 1 036 patients with type 2 diabetes mellitus who received treatment in The Second Affiliated Hospital of Xi'an Jiaotong University from May 2017 to May 2018 were included in this study. The visceral adipose index was detected using a bioresistance assay. These patients were divided into four groups using the quartile method: Visceral adipose index < 8.10 (q1 group, n = 246), 9.60 > visceral adipose index ≥ 8.10 (q2 group, n = 64), 11.10 > visceral adipose index ≥ 9.60 (q3 group, n = 423), visceral adipose index ≥ 11.10 (q4 group, n = 233). One-way analysis of variance was performed to compare the differences among groups. Partial correlation and multiple regression were used to analyze the correlation between body mass index, waist circumference, waist-to-height ratio, waist-to-hip ratio, body fat content, visceral adipose index, and urinary microalbumin and glomerular filtration rate. Results:With the increase in the visceral adipose index, the glomerular filtration rate gradually decreased. The glomerular filtration rate in the q1, q2, q3, q4 groups was (112.19 ± 31.74) mL·min -1·1.73 m -2, (106.14 ± 28.26) mL·min -1·1.73 m -2, (104.73 ± 23.63) mL·min -1·1.73 m -2, (103.40 ± 27.51) mL·min -1·1.73 m -2, respectively. In the female group, with the increase in visceral adipose index, the glomerular filtration rate decreased gradually. After controlling for age, sex, diabetes, and hypertension, the visceral adipose index was significantly correlated with the glomerular filtration rate ( r = -0.10, P < 0.001). Multiple regression analysis showed that visceral adipose index and waist-to-height ratio were closely related to glomerular filtration rate ( F = 6.00, P < 0.001). Conclusion:With the increase of visceral adipose index, body mass index, waist circumference, waist-to-height ratio, waist-to-hip ratio, body fat content, and urinary microalbumin increased gradually. When the visceral adipose index is greater than 9.60, the glomerular filtration rate is significantly decreased. Therefore, it is suggested to adopt various methods to evaluate obesity in clinical work, and visceral fat index should be paid more attention, especially when the visceral fat index is greater than 9.60.
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Objective:To explore indicators related to visceral fat index by constructing a random forest model.Methods:In this cross-sectional study, the laboratory measures and body composition analysis records of 617 hospital employees (in-service and retired) who underwent physical examination in Heilongjiang Provincial Hospital Health Management Center from March to September 2021 were selected. The subjects were divided into a training set ( n=411) and a test set ( n=206) with the ratio of 2∶1. A total of 110 predictors were included in the model. The model was constructed with the training set and was evaluated with the test set. The optimal number of nodes and decision trees were selected to evaluate the prediction performance of the optimal model. And the top 10 relatively important factors were selected for further investigation. The 617 participants were further divided in to groups according to the visceral fat index: the normal or high visceral fat index group, and the differences of the top 10 relatively important factors were further compared between the two groups. Results:The optimal number of nodes of the final random forest model was 39 and the number of decision trees was 300. The accuracy, precision, sensitivity and specificity of the model was 83.3%, 73.9%, 89.4% and 78.7%, respectively. The area under the receiver operating characteristic curve and 95% confidence interval of the model was 0.881 (0.832-0.931). The top 10 relatively important factors in the model were body mass index, gender, age, serum uric acid, red blood cell count, monocyte cell count, C-peptide, carcinoembryonic antigen, glycosylated hemoglobin and glutamyl transpeptidase. There were significant differences in the up-mentioned 10 indicators between the subjects with normal and high visceral fat index (all P<0.05). Conclusions:The random forest model built in this study has good performance in predicting visceral fat index, and visceral fat is related with changes in liver function, pancreas function and immune function.
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Objective To investigate the association of lipid accumulation product (LAP) and visceral fat index (VAI) with nonalcoholic fatty liver disease (NAFLD) and the value of LAP and VAI in predicting the risk of NAFLD. Methods A total of 708 subjects who underwent physical examination in China-Japan Friendship Hospital from September 2018 to May 2019 were enrolled and divided into NAFLD group ( n =426) and non-NAFLD group ( n =282), and the two groups were compared in terms of LAP, VAI, and related biochemical parameters. The independent samples t -test was used for comparison of normally distributed continuous data between groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups.The chi-square test was used for comparison of categorical data between groups. The Spearman test was used for correlation analysis. The subjects were divided into L1-L4 groups based on LAP and V1-V4 groups based on VAI, and the distribution of NAFLD was compared between groups; a logistic regression analysis was used to calculate the risk of NAFLD at different levels of LAP and VAI, and the receiver operating characteristic (ROC) curves were plotted for LAP, VAI, waist circumference (WC), and body mass index (BMI) in predicting NAFLD in different sex and body weight subgroups, so as to evaluate the value of each index in the prediction and diagnosis of NAFLD. Results Compared with the non-NAFLD group, the NAFLD group had significantly higher age, proportion of male subjects, proportion of subjects with a smoking history, and levels of LAP, VAI, WC, BMI, systolic blood pressure, diastolic blood pressure, alanine aminotransferase, aspartate aminotransferase, total cholesterol, triglyceride, low-density lipoprotein cholesterol, fasting blood glucose, and serum uric acid, as well as a significantly lower level of high-density lipoprotein cholesterol (all P 0.7 in predicting the onset of NAFLD in different sex and body weight subgroups; the AUCs of LAP and VAI in the female subgroup were significantly higher than those in the male subgroup (LAP: 0.886 vs 0.785, P < 0.05; VAI: 0.824 vs 0.748, P < 0.05), and the corresponding sensitivities and specificities of LAP and VAI in the female subgroup were also higher than those in the male subgroup (sensitivity: LAP: 79.8% vs 63.7%; VAI: 77.9% vs 77.0%; specificity: LAP: 85.0% vs 81.1%; VAI: 77.6% vs 62.3%). Conclusion The risk of NAFLD increases with the increase in the levels of LAP and VAI. Both LAP and VAI have a good value in predicting NAFLD in different sex and body weight subgroups, especially in predicting NAFLD in the female population.
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Objective@#To investigate the value of lipid accumulation product (LAP) and visceral fat index (VAI) for prediction of metabolic syndrome (MS). @*Methods@#Based on the 2018 Survey on Chronic Diseases and Risk Factors in Yantai City of Shandong Province, residents at ages of 45 years and older were sampled, and subjects' age, disease history, waist circumstance (WC), body mass index (BMI), blood pressure and blood lipid were collected to calculate LAP and VAI. MS was diagnosed with the a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity (JIS definition) and the recommended criteria proposed by the Chinese Diabetes Society (CDS) of Chinese Medical Association (CDS criteria), and the values of LAP and VAI for MS screening were evaluated using the receiver operating characteristic (ROC) curve analysis.@*Results@#Totally 9 366 subjects were enrolled, including 4 340 men (46.34%) and 5 026 women (53.66%), and had a mean age of (54.49±9.73) years. According to the CDS criteria, the prevalence of MS was 24.58%, and LAP and VAI showed areas under the ROC curve (AUC) of 0.837 (95%CI: 0.828-0.846) and 0.751 (95%CI: 0.739-0.762), sensitivities of 78.82% and 63.31% and optimal cut-off values of 44.64 and 1.86 for screening of MS. According to the JIS definition, the prevalence of MS was 35.26%, and LAP and VAI showed AUC values of 0.842 (95%CI: 0.834-0.850) and 0.790 (95%CI: 0.780-0.800), sensitivities of 75.73% and 68.42% and optimal cut-off values of 42.01 and 1.67 for screening of MS.@*Conclusions@#Both LAP and VAI are effective for screening MS among middle-aged and elderly residents, and LAP presents a higher accuracy than VAI.
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Objective To investigate the association between body fat percentage (BFP),visceral fat index (VFI) and Cardiometabolic Risk Factor Clustering (CRFC),among population aged 35 or older in Tibet and Xinjiang areas.Methods Using the stratified multi-stage random sampling method,7 571 residents aged 35 or above were examined with international standardized examination between 2015 and 2016.Of the eligible 5 643 participants,association of BFP and VFI with CRFC was defined as having two or more of the four risk factors:hypertension,diabetes mellitus,high TG and low HDL-C,at the same time.Logistic regression analysis and receiver operating characteristic (ROC) curve analysis were employed to further explore the relationships.Results The overall prevalence of CRFC among aged 35 and older population in Tibet and Xinjiang areas was 9.78％.BFP and VFI were divided into four groups by quartile.After adjustment for age,gender,race,cigarette smoking,alcohol consumption,education attainments,and altitude of residence,ORs of CRFC seemed to have increased with BFP and VFI.Compared with people having BFP of 5.0％-27.0％,the OR(95％CI) were 1.15(0.86-1.54),1.48(1.05-2.07) and 1.72(1.10-2.68) for the ones who presented 27.1％-31.7％,31.8％-36.6％ and 36.7％-50.0％ of BFP.Compared to people of having 1-6 of VFI,with OR (95％CI) as 1.20(0.81-1.79),1.91(1.30-2.80) and 3.91(2.64-5.77) for the ones having 7-9,10-13 and 14-30 of VFI.Areas under the curve (AUC) of CRFC appeared as 0.55 for BFP and 0.70 for VFI,respectively,with statistically significant difference (P＜0.01).Conclusion Both BFP and VFI levels were closely associated with CRFC while VFI seemed to have a better predictive value than the BFP.
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Objective To investigate the association between body fat percentage (BFP),visceral fat index (VFI) and Cardiometabolic Risk Factor Clustering (CRFC),among population aged 35 or older in Tibet and Xinjiang areas.Methods Using the stratified multi-stage random sampling method,7 571 residents aged 35 or above were examined with international standardized examination between 2015 and 2016.Of the eligible 5 643 participants,association of BFP and VFI with CRFC was defined as having two or more of the four risk factors:hypertension,diabetes mellitus,high TG and low HDL-C,at the same time.Logistic regression analysis and receiver operating characteristic (ROC) curve analysis were employed to further explore the relationships.Results The overall prevalence of CRFC among aged 35 and older population in Tibet and Xinjiang areas was 9.78％.BFP and VFI were divided into four groups by quartile.After adjustment for age,gender,race,cigarette smoking,alcohol consumption,education attainments,and altitude of residence,ORs of CRFC seemed to have increased with BFP and VFI.Compared with people having BFP of 5.0％-27.0％,the OR(95％CI) were 1.15(0.86-1.54),1.48(1.05-2.07) and 1.72(1.10-2.68) for the ones who presented 27.1％-31.7％,31.8％-36.6％ and 36.7％-50.0％ of BFP.Compared to people of having 1-6 of VFI,with OR (95％CI) as 1.20(0.81-1.79),1.91(1.30-2.80) and 3.91(2.64-5.77) for the ones having 7-9,10-13 and 14-30 of VFI.Areas under the curve (AUC) of CRFC appeared as 0.55 for BFP and 0.70 for VFI,respectively,with statistically significant difference (P＜0.01).Conclusion Both BFP and VFI levels were closely associated with CRFC while VFI seemed to have a better predictive value than the BFP.