Discriminatory Ability of Visceral Adiposity Index (VAI) in Diagnosis of Metabolic Syndrome: A Population Based Study

2017 ◽  
Vol 125 (03) ◽  
pp. 202-207 ◽  
Author(s):  
N. Motamed ◽  
M. Khonsari ◽  
B. Rabiee ◽  
H. Ajdarkosh ◽  
G. Hemasi ◽  
...  
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.


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 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.


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.


2017 ◽  
Vol 54 (4) ◽  
pp. 176-183
Author(s):  
Valmore J. Bermúdez ◽  
Juan Salazar ◽  
Roberto Añez ◽  
José Ramón Rivas-Ríos ◽  
Mervin Chávez-Castillo ◽  
...  

2021 ◽  
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.


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