scholarly journals Visceral Adiposity Index Outperforms Conventional Anthropometric Assessments as Predictor of Diabetes Mellitus in Elderly Chinese: A Population-Based Study

Author(s):  
Meng-Ting Tsou ◽  
Yu-Chen Chang ◽  
Ching-Ping Hsu ◽  
Yang-Che Kuo ◽  
Chun-Ho Yun ◽  
...  

Abstract BackgroundThis study aimed to assess the predictive performance of diabetes (DM) by using adiposity indices compared to body mass index and waist circumference. MethodsAmong 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens between 2008 and 2018 (≥ 65 years), we examined the associations of several adiposity indices with DM risk, and further explored gender differences. ResultsAmong all adiposity indicators, Chinese visceral adiposity index (CVAI) alone demonstrated the highest discriminatory ability for diabetes mellitus by area under receiver operating characteristic curves (AUC) (0.65, 0.68, and 0.66 for men, women, and all participants, respectively), regardless of gender, with optimal cut-offs set as 126.09 in men and 117.77 in women, respectively. Compared with body shape index (ABSI), CVAI was strongly associated with baseline DM (adjusted OR: 4.16 [3.35–5.17] for 4th vs 1st quartile groups, P < 0.001), which was more pronounced in elderly women (P interaction < 0.05). Over a median of 5.25 years (IQR: 3.07–6.44 years) follow-up, Cox regression models showed higher predictive ability of CVAI rather than the ABSI. Further, this independently predicted new-onset DM (adjusted HR: 1.26, 95% CI: 1.18–1.34) and composite endpoint of new DM and death (adjusted HR: 1.17, 95% CI: 1.10–1.25, both P < 0.001) among those without baseline DM. ConclusionsOur population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among elderly Chinese, especially in women.

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Meng-Ting Tsou ◽  
Yu-Chen Chang ◽  
Ching-Ping Hsu ◽  
Yang-Che Kuo ◽  
Chun-Ho Yun ◽  
...  

Abstract Background This study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference. Methods Among 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens (≥ 65 years) between 2008 and 2018, we examined the associations of several adiposity indices with DM risk and explored gender differences. Results Among all adiposity indicators, Chinese visceral adiposity index (CVAI) demonstrated the highest discriminatory ability for diabetes mellitus with area under receiver operating characteristic curves (AUC) of 0.65, 0.68, and 0.66 for men, women, and all participants, respectively, and optimal cut-offs set as 126.09 in men and 117.77 in women. Compared with body shape index (ABSI), both CVAI and VAI were strongly associated with baseline DM (adjusted OR: 4.85, 95% CI: 4.05–5.82 and 4.22, 95% CI: 3.53–5.05 for 4th vs 1st quartile groups by CVAI and VAI, P < 0.001), which was more pronounced in older adult women (Pinteraction < 0.05). Over a median of 5.25 years (IQR: 3.07–6.44 years) follow-up, Cox regression models showed higher predictive ability of CVAI and VAI compared to ABSI. Further, both CVAI and VAI independently predicted new-onset DM (adjusted HR: 1.29, 95% CI: 1.22–1.37 and 1.16, 95% CI: 1.11–1.21 by CVAI and VAI) and composite endpoint of new DM and death among those without baseline DM. Conclusions Our population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among older adult Chinese, especially in women.


2021 ◽  
Vol 8 (6) ◽  
pp. A152-157
Author(s):  
Asha Augusthy ◽  
Suchanda Sahu ◽  
Ashok Kumar Jeppu

Background: Diabetes mellitus is a metabolic disease known by chronic hyperglycemia which results from defective insulin action and secretion. Metabolic Syndrome consists of a constellation of metabolic abnormalities that confer increased risk of diabetes mellitus. The aim of our study is to find out whether non-invasive, clinically measurable surrogates could be useful in identifying body fat distribution and help predict metabolic syndrome and diabetes risk and to compare the performance of anthropometric indices with lipid indices in identifying metabolic syndrome and diabetes. Methods: 50 individuals with metabolic syndrome ,50 individuals with type 2 diabetes mellitus and 50 controls were selected by purposive sampling technique. For cases and controls history was taken, physical examination was done .Fasting blood sugar, Serum High density lipoprotein and Serum Triglyceride levels were estimated. Body mass index, a body shape index, visceral adiposity index, lipid accumulation factor was calculated. Results: The mean values visceral adiposity index, lipid accumulation factor were significantly increased (p<0.001) in cases compared to controls. Conclusion: Our study concluded that lipid indices visceral adiposity index, lipid accumulation factor is better than anthropometric indices like body mass index, a body shape index in predicting metabolic syndrome and type 2 diabetes mellitus. Anthropometric indices when used should be correlated with metabolic variables and clinical symptoms.


2021 ◽  
Author(s):  
Jing Cao ◽  
Shengpeng Liu ◽  
Q. Yang ◽  
Y. Zhang ◽  
J. Huang ◽  
...  

Abstract Objective: We aimed to investigate the possible relationship between visceral adiposity index (VAI) and carotid atherosclerosis(CAS) in different genders and age groups in China. Methods: This study was an observational cross-sectional study and included 1996 participants who were health examination population .From January 2018 to June 2019, people over 18 years old who had physical examinations were included in the study. Each participant completed a standard questionnaire, anthropometric measurements, ultrasonic examination ,and provided blood samples for biochemical measurements. Regression models were utilized to evaluate the correlation between VAI and the CAS risk. An ROC curve was utilized to predict VAI diagnostic efficacy for carotid atherosclerosis. Result: After adjusting for potential risks, high-VAI subjects had an increased OR of having CAS in women aged>44 years[OR= 3.09,95% Confdence interval (95%CI)=1.64⑶5.82, p <0.001]. In females, the AUC and sensitivity specificity were [(0.595, 76.68% and 39.85%, all females), (0.575, 78.51% and 30.37%, age ≤44), (0.609, 84.71% and 40.46%, age >44). When compared with traditional obesity indices(BMI, WC, and HC) , the predictive ability of VAI was stronger in females >44.The same relationships in males were not signifcant. Conclusions: The VAI were associated with an increased risk of CAS,and it could be selected as new and simple predictors of CAS for middle-aged and elderly women(age >44)in China .


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 464-P
Author(s):  
BERNHARD ZIERFUSS ◽  
CLEMENS HOEBAUS ◽  
CARSTEN T. HERZ ◽  
RENATE KOPPENSTEINER ◽  
GERIT-HOLGER SCHERNTHANER

2016 ◽  
Vol 69 (2) ◽  
pp. 142-149 ◽  
Author(s):  
Meilin Zhang ◽  
Li Zheng ◽  
Ping Li ◽  
Yufeng Zhu ◽  
Hong Chang ◽  
...  

Background/Aims: Our aim was to evaluate whether visceral adiposity index (VAI) could predict the risk of type 2 diabetes (T2D) in different genders and to compare the predictive ability between VAI and other fatness indices. Methods: Four thousand seventy-eight participants including 1,817 men and 2,261 women, aged 18 and older and free of T2D at baseline were enrolled in 2010 and followed up for 4 years. New cases of T2D were identified via the annual medical examination. Cox regression analysis was used to assess the association between VAI and incidence of T2D. Receiver operating characteristic curve and area under the curves (AUC) were applied to compare the prediction ability of T2D between VAI and other fatness indices. Results: During the 4-year follow-up, 153 (8.42%) of 1,817 men and 88 (3.89%) of 2,261 women developed T2D. The multivariable-adjusted hazards ratios for developing T2D in the highest tertile of VAI scores were 2.854 (95% CI 1.815-4.487) in men and 3.551 (95% CI 1.586-7.955) in women. The AUC of VAI was not higher than that of other fatness indices. Conclusions: VAI could predict the risk of T2D among Chinese adults, especially in women. However, the prediction ability of T2D risk for VAI was not higher than that of the other fatness indices.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sunyue He ◽  
Jie Yang ◽  
Xiaoyong Li ◽  
Hongxia Gu ◽  
Qing Su ◽  
...  

Abstract Background The effects of visceral adiposity on decreased lung function have drawn much attention. Recently, the visceral adiposity index (VAI) has been proposed as a visceral fat distribution and dysfunction marker. However, the relationship between the VAI and lung function has not been investigated. The objective of the study was to analyze the association between the VAI and lung function and evaluate the potential of VAI as a predictor of lung function. Methods We collected data from a population-based study of 1786 subjects aged 40 years or older. All subjects completed a questionnaire and underwent anthropometric measurements and laboratory tests. Linear and logistic regression models were developed to assess the association between the VAI and lung function. Results The VAI was inversely related to FVC%predicted in men and negatively associated with both FVC%predicted and FEV1%predicted in women. In the linear regression analysis, the decrease in FVC%predicted associated with each 10% increase in the VAI was 1.127% in men and 1.943% in women; the decrease in FEV1%predicted associated with each 10%increase in the VAI was 0.663% in men and 1.738% in women. Further regression analysis revealed that the VAI was positively correlated with FVC and FEV1 impairment in women. Conclusions We were the first to show a clear correlation between the VAI and lung function impairment in the Chinese population. The VAI could be a simple and reliable approach in daily practice, and individuals, especially women with a high VAI, should receive additional screening and preventive interventions for respiratory disease.


2020 ◽  
Author(s):  
Sunyue He ◽  
Jie Yang ◽  
Xiaoyong Li ◽  
Hongxia Gu ◽  
Qing Su ◽  
...  

Abstract Background: The effects of visceral adiposity on decreased lung function have drawn much attention. Recently, the visceral adiposity index (VAI) has been proposed as a visceral fat distribution and dysfunction marker. However, the relationship between the VAI and lung function has not been investigated. The objective of the study was to analyze the association between the VAI and lung function and evaluate the potential of VAI as a predictor of lung function.Methods: We enrolled data from a population-based study of 1786 subjects aged 40 years or older. All subjects completed a questionnaire and underwent anthropometric measurements and laboratory tests. Linear and logistic regression models were developed to assess the association between the VAI and lung function.Results: The VAI was inversely related to FVC%predicted in men and negatively associated with both FVC%predicted and FEV1%predicted in women. In the linear regression analysis, the decrease in FVC%predicted associated with a 1-SD increase in the VAI was 1.776% in men and 3.421% in women; the decrease in FEV1%predicted associated with a 1-SD increase in the VAI was 1.045% in men and 3.060% in women. Further regression analysis revealed that the VAI was positively correlated with FVC and FEV1 impairment in women.Conclusions: We were the first to show a clear correlation between VAI and lung function impairment in the Chinese population. The VAI could be a simple and reliable approach in daily practice, and individuals, especially women with a high VAI, should receive additional screening and preventive interventions for respiratory disease.


2016 ◽  
Vol 68 (4) ◽  
pp. 235-243 ◽  
Author(s):  
Peng Ju Liu ◽  
Fang Ma ◽  
Hui Ping Lou ◽  
Yu Chen

Background/Aims: Diabetes mellitus and pre-diabetes are closely associated with visceral obesity. Visceral adiposity index (VAI) is a novel sex-specific index, indirectly expressing visceral adipose function. Our aim was to determine the associations of VAI with dysglycemia (the combination of diabetes and pre-diabetes) and to compare the predictive ability for dysglycemia between VAI and traditional obesity indices. Methods: We performed a cross-sectional analysis of the data of 2,754 Chinese community-dwelling people who participated in the health checkup. Sex-specific VAI tertile cut-off points were used as follows: 1.70, 2.77 in males and 0.98, 1.75 in females. Binary logistic regression models were performed to estimate the association of the higher values of all the obesity indices with pre-diabetes and diabetes. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was applied to compare the predictive potential for dysglycemia among the obesity indices. Results: VAI was the only index significantly associated with both pre-diabetes and diabetes in both sexes after adjusting for potential confounders. The results of ROC analysis and AUC showed that VAI possessed the largest AUC, followed by other obesity indices. Conclusions: Higher VAI values are positively associated with the presence of pre-diabetes and diabetes in Chinese adults.


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