The Visceral Adiposity Index in Comparison with Easily Measurable Anthropometric Markers Did Not Improve Prediction of Diabetes

Novel anthropometric indices for predicting type 2 diabetes mellitus

BACKGROUND

This study aimed to compare anthropometric indices to predict type 2 diabetes mellitus (T2DM) among first-degree relatives of diabetic patients in the Iranian community.

METHODS

In this study, information on 3483 first-degree relatives (FDRs) of diabetic patients was extracted from the database of the Endocrinology and Metabolism Research Center of Isfahan University of Medical Sciences. Overall, 2082 FDRs were included in the analyses. A logistic regression model was used to evaluate the association between anthropometric indices and the odds of having diabetes. Furthermore, a receiver operating characteristic (ROC) curve was applied to estimate the optimal cutoff point based on the sensitivity and specificity of each index. In addition, the indices were compared based on the area under the curve (AUC).

RESULTS

The overall prevalence of diabetes was 15.3%. The optimal cutoff points for anthropometric measures among men were 25.09 for body mass index (BMI) (AUC = 0.573), 0.52 for waist-to-height ratio (WHtR) (AUC = 0.648), 0.91 for waist-to-hip ratio (WHR) (AUC = 0.654), 0.08 for a body shape index (ABSI) (AUC = 0.599), 3.92 for body roundness index (BRI) (AUC = 0.648), 27.27 for body adiposity index (BAI) (AUC = 0.590), and 8 for visceral adiposity index (VAI) (AUC = 0.596). The optimal cutoff points for anthropometric indices were 28.75 for BMI (AUC = 0.610), 0.55 for the WHtR (AUC = 0.685), 0.80 for the WHR (AUC = 0.687), 0.07 for the ABSI (AUC = 0.669), 4.34 for the BRI (AUC = 0.685), 39.95 for the BAI (AUC = 0.583), and 6.15 for the VAI (AUC = 0.658). The WHR, WHTR, and BRI were revealed to have fair AUC values and were relatively greater than the other indices for both men and women. Furthermore, in women, the ABSI and VAI also had fair AUCs. However, BMI and the BAI had the lowest AUC values among the indices in both sexes.

CONCLUSION

The WHtR, BRI, VAI, and WHR outperformed other anthropometric indices in predicting T2DM in first-degree relatives (FDRs) of diabetic patients. However, further investigations in different populations may need to be implemented to justify their widespread adoption in clinical practice.

Visceral adiposity index as a predictor of type 2 diabetes mellitus risk: A systematic review and dose-response meta-analysis

AIMS

Considering the positive association between visceral adiposity index (VAI) and type 2 diabetes mellitus (T2DM), no comprehensive assessment on the summarized and dose-response relationship between VAI and T2DM has yet been reported. Therefore, we performed a meta-analysis, including dose-response analysis, to quantitively elucidate this association.

DATA SYNTHESIS

MEDLINE via PubMed and Embase databases were searched for relevant articles up to December 14, 2021. Random-effects generalized least squares regression models were used to assess the quantitative association between VAI and T2DM risk across studies. Restricted cubic splines were used to model the dose-response association. A total of 9 prospective cohort studies and 5 cross sectional studies were included in our review. Based on the meta-analysis, the pooled RR of T2DM was 2.05 (95% CI 1.74-2.41) for the highest versus reference VAI category. We found that the risk of T2DM was increased by 44% (RR, 1.44; 95% CI, 1.23-1.68) with each 1-unit increment of VAI. While, we found no evidence of a nonlinear dose-response association of VAI and T2DM (Pnon-linearity = 0.428). With the linear cubic spline model, when compared to population with VAI at 0.6, for those with VAI at 2.0, the risk of T2DM was increased by 81% (RR, 1.81; 95% CI 1.55-2.12).

CONCLUSIONS

Our meta-analysis provides quantitative data suggesting that VAI is associated with an increased risk of T2DM. Public health strategies focusing on weight loss among obesity, especially the people characterized by the thin-on-the-outside--fat-on-the-inside phenotype could possibly reduce a substantial risk of T2DM.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022372666.

The Visceral Adiposity Index Is a Better Predictor of Excess Visceral Fat in Military Pilots: A Cross-sectional Observational Study

INTRODUCTION

Visceral adipose tissue (VAT) is related to cardiometabolic risk. Estimating it using the visceral adiposity index (VAI) could identify this risk in the Brazilian Air Force (BAF) aviator population. The aim here is to verify the predictive capacity of the VAI for identifying visceral fat areas compared to traditional obesity indicators in BAF pilots.

MATERIALS AND METHODS

Forty male BAF pilots were recruited. The study was conducted in two stages: the first applied a structured questionnaire to characterize the sample and identify sedentary behavior and the second obtained nutritional, anthropometric, and body composition data, carrying out biochemical and magnetic resonance imaging tests and investigating physical activity level in this stage. The comparison of the predictive capacity of the VAI with that of other adiposity indicators (body mass index [BMI], waist circumference, waist-height ratio, waist-hip ratio, and neck circumference) for detecting increased VAT and the determination of the optimal cutoff points for the different adiposity indicators were carried out using receiving operating characteristic (ROC) curves. An association was verified between the adiposity indicators and excess visceral fat using Poisson regression analysis with robust variance.

RESULTS

The VAI presented a better predictive capacity for VAT (area under the ROC curve = 0.941), while the BMI did not present diagnostic accuracy (95% CI < 0.5). The strength of the association with high visceral fat was also greater for the VAI than for the other indicators evaluated.

CONCLUSIONS

The VAI was shown to be a better predictor of excess VAT in relation to the other indicators studied. As it is a more easy-access and lower-cost technique than resonance, it enables greater applicability in tracing and monitoring the visceral obesity of a large contingent of military personnel.

Predictive importance of the visceral adiposity index and atherogenic index of plasma of all-cause and cardiovascular disease mortality in middle-aged and elderly Lithuanian population

Background

Two indices: visceral adiposity index (VAI) and atherogenic index of plasma (AIP) during several recent years were implemented into epidemiological studies for predicting of cardiovascular diseases (CVD) and mortality risk. Our study aimed to evaluate the association of VAI and AIP with the risk of all-cause and CVD mortality among the Lithuanian urban population aged 45–72 years.

Methods

In the baseline survey (2006–2008), 7,115 men and women 45–72 years of age were examined within the framework of the international study Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE). Six thousand six hundred and seventy-one participants (3,663 women and 3,008 men) were available for statistical analysis (after excluding 429 respondents with the missed information on study variables) and for them, VAI and AIP were calculated. The questionnaire evaluated lifestyle behaviors, including smoking and physical activity. All participants in the baseline survey were followed up for all-cause and CVD mortality events until December 31st, 2020. Multivariable Cox regression models were applied for statistical data analysis.

Results

After accounting for several potential confounders, higher levels of VAI (compared 5th quintile to 1st quintile) were associated with significantly higher CVD mortality in men [Hazards ratio (HR) = 1.38] and all-cause mortality in women (HR = 1.54) after 10-year follow-up. CVD mortality significantly increased in men with 0 the highest AIP quintile compared with that for the lowest quintile (HR = 1.40). In women, all-cause mortality was significantly higher for the 4th quintile of AIP as compared with the 1st quintile (HR = 1.36).

Conclusions

High-risk VAI levels were statistically significantly associated with all-cause mortality risk in men and women groups. The higher AIP level (5th quintile vs. 1st quintile—in men and 4th quintile vs. 1st quintile—in women) was significantly associated with increased mortality from CVD in the men group and increased all-cause mortality in the women group.

Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus

Background

Indices, based on anthropometrics with or without non‐anthropometric components, are predictive of cardio‐metabolic outcomes. Fat mass index (FMI) is similar to BMI except measured fat mass replaces body weight. The visceral adiposity index (VAI) combines anthropometric measures with lipid measurements TG/HDL. The relationship of these indices to incident type 2 diabetes (T2DM) has not been established. Therefore, we have evaluated the predictive power and optimal cut‐off points of FMI, and VAI with T2DM in a cross‐sectional population study.

Methods

These population‐based cross‐sectional study comprised 8411 adults aged 35–65 years using data from the Ravansar Non‐Communicable Diseases (RaNCD) cohort. VAI and FMI were defined as previously published. Optimal cut‐off points for association with incident T2DM were determined from receiver‐operating curves (ROC).

Results

The optimal cut‐off point for VAI was 4.86 (AUC: 0.673; 95% CI: 0.65–0.69) and FMI 9.3 (AUC: 0.57; 95% CI: 0.55–0.59), and for T2DM in our study population. The odds ratios (OR) for T2DM were nearly identical, for VAI 1.098 (95% CI: 1.08–1.11) and for FMI 1.08 (95% CI: 1.05–1.10).

Conclusions

In the current population study, VAI and FMI were weakly associated with T2DM. Therefore, it seems that anthropometric measures are unlikely to be strong mediators of T2DM compared to historical and other factors in the population studied.

We found that VAI had more predictive power to diagnose T2DM than FMI.

Association of visceral adiposity index with new-onset type 2 diabetes and impaired fasting glucose in hypertensive Chinese adults

PURPOSE

Visceral adiposity index (VAI) is a reliable indicator for the distribution and function of adipose tissue in the body. The relation of VAI with new-onset type 2 diabetes and new-onset impaired fasting glucose (IFG) remains uncertain. We aimed to investigate the prospective relation of VAI with new-onset type 2 diabetes and new-onset IFG in Chinese hypertensive adults.

METHODS

A total of 14,838 hypertensive adults free of type 2 diabetes at baseline were included from the China Stroke Primary Prevention Trial. The primary outcome was new-onset type 2 diabetes, defined as physician-diagnosed diabetes or use of glucose-lowering drugs during follow-up, or fasting glucose ≥ 7.0 mmol/L at the exit visit. The secondary outcome was new-onset IFG, defined as fasting glucose < 6.1 mmol/L at baseline, while fasting glucose ≥ 6.1 mmol/L and < 7.0 mmol/L at the exit visit.

RESULTS

Over a median of 4.5 years' follow-up, 1612 (10.9%) participants developed type 2 diabetes. When VAI was categorized into quartiles, compared with participants in quartile 1-3 (< 2.80), significantly higher risk of new-onset type 2 diabetes (OR 1.30; 95% CI 1.08-1.56) and new-onset IFG (OR 1.28; 95% CI 1.08-1.52) was found in those in quartile 4 (≥ 2.80). Moreover, the positive associations were consistent in participants with or without single abnormal VAI components, including general obesity, abdominal obesity, elevated triglycerides and low high-density lipoprotein cholesterol (HDL-C) levels; or with different numbers of abnormal VAI components (all P interactions > 0.05).

CONCLUSION

Our study suggested a positive relation of VAI with the risk of new-onset type 2 diabetes and new-onset IFG in Chinese hypertensive patients, independent of its components.

LEVEL OF EVIDENCE

Level III, a well-designed cohort.

Visceral Adiposity Index Plays an Important Role in Prognostic Prediction in Patients With Non-ST-Segment Elevation Acute Coronary Syndrome and Type 2 Diabetes Mellitus Undergoing Percutaneous Coronary Intervention

Background: Visceral adiposity index (VAI), a surrogate marker of adiposity and insulin resistance, has been demonstrated to be significantly related to cardiovascular disease. It remains indistinct whether VAI predicts adverse prognosis after percutaneous coronary intervention (PCI) for patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) and type 2 diabetes mellitus (T2DM). Methods: A total of 798 participants who met the enrollment criteria were finally brought into this study. VAI was determined by waist circumference, body mass index, fasting triglyceride, and high-density lipoprotein cholesterol as previously reported. Adverse prognosis included all-cause death, non-fatal myocardial infarction, non-fatal ischemic stroke, and ischemia-driven revascularization, the composite of which was defined as the primary endpoint. Results: Higher VAI maintained as a significant and independent risk predictor for the primary endpoint, regardless of the adjustment for the various multivariate models [hazard ratio (95% CI) for fully adjusted model: 2.72 (2.02-3.68), p < 0.001]. The predictive value of VAI was further confirmed in sensitivity analysis where VAI was taken as a continuous variate. There was a dose-response relationship of VAI with the risk of the primary endpoint (p for overall association < 0.001). Moreover, the ability of VAI on the prediction of the primary endpoint was consistent between subgroups stratified by potential confounding factors (all p for interaction > 0.05). VAI exhibited a significant incremental effect on risk stratification for the primary endpoint beyond existing risk scores, expressed as increased Harrell's C-index, significant continuous net reclassification improvement, and significant integrated discrimination improvement. Conclusion: VAI is a significant indicator for predicting worse prognosis and plays an important role in risk stratification among patients with NSTE-ACS and T2DM undergoing elective PCI. The present findings require further large-scale, prospective studies to confirm.

Association between visceral adiposity index and risk of prediabetes: A meta-analysis of observational studies

Background and Objective

Epidemiological studies suggested that the association between the visceral adiposity index (VAI) and the risk of prediabetes is inconsistent. Whether VAI is a useful predictor of prediabetes remains unclear. Up until April 2021, there had been no systematic review on this topic. In this meta‐analysis, the available observational epidemiological evidence was synthesized to identify the association between VAI and prediabetes risk.

Methods

PubMed, EMBASE, and Cochrane databases in any language were searched systematically from the earliest available online indexing year to April 2021 for relevant observational studies published on the association between VAI and the risk of prediabetes. A random effects model was used to combine quantitatively the odds ratios (ORs) and 95% confidence intervals (CIs).

Results

Ten relevant studies (2 cohort study, 2 case‐control studies, and 6 cross‐sectional studies) involving 112,603 participants were identified. Compared with the highest VAI, the lowest level of VAI was associated with an increased risk of prediabetes. The pooled OR of VAI for prediabetes was 1.68 (95% CI: 1.44–1.96), with significant heterogeneity across the included studies (P = 0.000, I² = 91.4%). Exclusion of any single study did not materially alter the combined risk estimate.

Conclusions

Integrated epidemiological evidence supports the hypothesis that VAI is a lipid combined anthropometric index and may be a risk factor for prediabetes. VAI may be related to a high risk of prediabetes. However, it should be noted that the included studies have a publication bias and there was significant heterogeneity between our pooled estimate.

Biomarker-based visceral adiposity score and incident type 2 diabetes in the multiethnic cohort

PURPOSE

Visceral adipose tissue (VAT) may be more important than subcutaneous fat in type 2 diabetes (T2D) etiology. We examined a VAT score developed in reference to MRI measurement of VAT in the Multiethnic Cohort (MEC) as a risk factor for incident T2D.

METHODS

Two nested case-control studies of cancer allowed calculation of the VAT score based on anthropometric measures and 8 biomarkers among 2,556 participants without T2D. Incident cases were identified from Medicare linkages and self-reports after blood draws in 2001-2006. Cox regression with age as time metric was applied to estimate the association of the VAT score with T2D.

RESULTS

During 10.1 ± 2.4 years, 355 incident T2D cases were identified. VAT scores were higher in T2D cases than among those without disease (5.06±0.43 vs. 4.95±0.41; P<0.0001) and significantly associated with T2D (HR = 2.70; 95%CI 1.60, 4.58 per unit) with similar values in men (HR = 2.99; 95%CI 1.03, 8.73) and women (HR = 2.61; 95%CI 1.39, 4.91). A significant association was observed in all five ethnic groups but only statistically significant among Japanese Americans (HR = 6.24; 95%CI 2.34, 16.68).

CONCLUSION

These findings support that VAT as estimated by a biomarker-based score predicts T2D incidence beyond BMI in particular among older adults of Japanese ancestry.

Association of adiposity with diabetes: A national research among Chinese adults

BACKGROUND

Adiposity is an established risk factor for diabetes. The different measurements of adiposity for predicting diabetes have been compared in recent studies in Western countries. However, similar researches among Chinese adults are limited.

METHODS

Data were collected from a national survey conducted during September 2014 and May 2015 Among Chinese adults aged 40 years and older across 30 China's provinces. Multilevel model analysis was performed to examine the impacts of different obesity indices [body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI)] on the risk of diabetes.

RESULTS

A total of 162 880 participants were included in this study. Of them, 54.47% were female. With an increase in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes significantly grew (P < 0.001). The multilevel model analysis showed that WC has the strongest impact on diabetes prevalence, while BAI was the weakest. For one SD increment in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes increased by 27.0% (Odds Ratio (OR) = 1.270, 95% Confidence interval (CI) = 1.251-1.289), 37.4% (OR = 1.374, 95% CI = 1.346-1.401), 28.1% (OR = 1.281, 95% CI = 1.266-1.297), 22.0% (OR = 1.220, 95% CI = 1.204-1.236), and 17.4% (OR = 1.174, 95% CI = 1.151-1.192), respectively.

CONCLUSION

Obesity indicators of BMI, WC, LAP, VAI, and BAI have significant positive relationships with the risk of diabetes. WC has the strongest impact on diabetes, while BAI has the weakest.

Fatty liver index and risk of diabetes incidence: A systematic review and dose-response meta-analysis of cohort studies

AIMS

Fatty Liver Index (FLI) is a surrogate index for diagnosis of Fatty Liver Disease (FLD). We performed a dose-response meta-analysis to investigate the relationship between FLI and diabetes incidence in prospective cohort studies.

METHODS

We conducted a systematic search of articles up to November 2019 in PubMed, SCOPUS, Cochrane library, and Embase. Hazard Ratios (HRs) with corresponding 95% confidence intervals (CIs) of studies were pooled using meta-analysis with DerSimonian and Laird random-effects models to find combined HRs. Dose-response effect of this relationship was also assessed.

RESULTS

Twenty-seven studies providing 70,918 participants were included in the meta-analysis. Pooled results showed that the highest category of FLI was associated with an increased incidence of diabetes [HR: 2.88, 95% CI: 2.18-3.81; P for heterogeneity: 0.001]. Subgroup analysis based on sex, continent, and the quality of study could not explain the source of heterogeneity. The pooled HR from the random-effects dose-response model indicated a significant association between FLI level and risk of diabetes incidence (Coef=0.0239, p=0.001).

CONCLUSION

Our dose-response meta-analysis revealed a direct relationship between FLI and HR of diabetes incidence.

Association of Visceral Adiposity Index, Lipid Profile, and Serum Leptin with Glucose Intolerance Risks in Iraqi Obese Patients: A Cross-sectional Study

Aims:

The aim of this study was to evaluate the possibility of using visceral adiposity index (VAI), serum leptin, and lipid profile as indicators of impaired glucose tolerance in Iraqi obese patients.

Subjects and Methods:

A cross-sectional study was performed in Iraqi obese patients of both sexes. Body mass index (BMI), waist circumference, hip circumference, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), VAI, waist-to-hip ratio (WHR), serum leptin, and 2-h glucose tolerance test (2-h GT) were determined and compared with those of healthy non-obese control group. A correlation analysis was performed to determine the strength of association between the studied markers. Data were adjusted to determine gender differences in this regard.

Statistical Analysis:

Kolmogorov–Smirnov, Shapiro–Wilk analyses, Mann–Whitney U test, and unpaired t test were used for the two-group comparisons once applicable. Pearson’s and Spearman’s correlation analyses were used to measure the relationship levels between the studied variables.

Results:

A total of 144 obese patients were included; the mean age was 37.11 ± 8.2 years and 92 (63.9%) were females. Compared with non-obese subjects, the participants had significantly higher levels of BMI, WC, WHR, VAI, TG, leptin, and 2-h GTObese male subjects had significantly higher values of body weight, WC, HC, VAI, and TG compared with obese females. Elevated 2-h GT was significantly associated with VAI (r = 0.291, P = 0.0004), TG (r = 0.319, P = 0.0001), and LDL-C/HDL-C ratio (r = 0.435, P < 0.0001) in the obese patients only.

Conclusions:

The results provide evidence that VAI, TG, and LDL-C/HDL-C ratio can be suggested as potential markers for the risk assessment of impaired glucose tolerance in Iraqi obese patients.

Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes

BACKGROUND AND AIMS

Diabetes mellitus is one of the critical public health challenges in the Indian healthcare scenario. Novel anthropometric indices are promising surrogate markers to detect prediabetes compared to the traditional anthropometric indices that only reflect gross obesity. Thus, the authors aim to analyse the potential of three novel lipid combined anthropometric indices in predicting prediabetes in the Asian Indian population.

METHODS

We conducted an age and gender-matched case-control study to identify the predictors of prediabetes. Prediabetes was diagnosed as per the American Diabetes Association (ADA) guidelines 2010. The traditional anthropometric measurements including waist circumference (WC), waist to hip ratio (WHR) and body mass index (BMI) were executed using standardised methods. Fasting lipid profile was obtained and using standardised formulas, the novel lipid combined anthropometric indices such as lipid accumulation product (LAP), visceral adiposity index (VAI) and triglyceride glucose index (TyG index) were derived. TyG related indices such as triglyceride glucose-waist circumference (TyG-WC) and triglyceride glucose-body mass index (TyG-BMI) were also calculated.

RESULTS

The novel lipid combined anthropometric indices LAP, VAI, TyG index, TyG-WC and TyG-BMI were significantly higher in subjects with prediabetes of both the genders (p < 0.05). During receiver operating characteristic (ROC) curve evaluation, TyG index (AUC = 0.802) was the superior predictive measure in males, while in females, TyG-WC (AUC = 0.767) was the best among all the markers.

CONCLUSION

TyG index and TyG-WC seem to be a superior indicator of prediabetes in the Asian Indian population in comparison with other anthropometric indices to screen prediabetes.

Visceral adiposity index outperforms common anthropometric indices in predicting 10-year diabetes risk: Results from the ATTICA study

BACKGROUND

Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10-year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices.

METHODS

In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD-free men (18-87 years old) and women (18-89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10-year follow-up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow-up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10-year diabetes incidence.

RESULTS

One hundred thirty-three incident cases of diabetes were documented (10-year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1-unit increase =1.22; 95%CI, 1.09-1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist-to-height ratio, to the correct classification of participants who developed diabetes.

CONCLUSIONS

The present findings suggest that VAI may be a useful index for predicting long-term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices.

Visceral adiposity index and lipid accumulation product as a predictor of type 2 diabetes mellitus: The Bogor cohort study of non-communicable diseases risk factors

OBJECTIVES

Lipid accumulation product (LAP) index and Visceral Adiposity Index (VAI) are simple calculations to measure fat accumulation and visceral fat respectively. We aim to study the use of LAP index and VAI as diagnostic parameter and predictor of T2DM.

METHODS

We analysed the baseline and longitudinal data from the Indonesian Ministry of Health Cohort Study of Non-communicable Diseases Risk Factors in West Java, comprising 846 men and 2437 women aged 25-65 years. At baseline, the odds ratio for the diagnosis of prediabetes and T2DM among subjects with high LAP Index and VAI was analysed using logistic regression analysis. In the longitudinal analysis, LAP index and VAI as predictor of prediabetes and T2DM was analysed with cox regression analysis.

RESULT

Worsening glycemia status was associated with an increased LAP index and VAI (p < 0.001). Subjects with high VAI had an increased OR of having T2DM in both men [OR, 95%CI, 2.29(1.15-4.56), p = 0.018] and women [1.95(1.49-2.54), p < 0.001)]. Association of high LAP with T2DM was found only in women [OR, 95%CI, 2.11(1.16-1.52), p < 0.001]. In terms of T2DM prediction, only women [RR, 95% CI, 2.59 (1.05-6.39), p = 0.038)], with high VAI had an increased risk of T2DM in the future. High LAP index was not associated with an in increased risk of T2DM in the future in both sexes.

CONCLUSION

High LAP index was associated with an increased risk of T2DM diagnosis in women but it could not predict the development of T2DM. High VAI was associated with an increased risk of T2DM diagnosis in both sexes, however, it could only predict the development of T2DM in women.

Visceral adiposity index (VAI), lipid accumulation product (LAP), and product of triglycerides and glucose (TyG) to discriminate prediabetes and diabetes

The present study evaluated the ability of the visceral adiposity index (VAI), the lipid accumulation product (LAP), and product of triglycerides and glucose (TyG), three novel, insulin resistance-related markers, to discriminate prediabetes/diabetes in the general German population. Altogether 2,045 Germans (31-72 years, 53.3% women) without known diabetes and a history of Myocardial Infarction (MI)/stroke from the Cooperative Health Research in the Region of Augsburg (KORA) F4 Study were eligible. The discriminatory accuracy of the markers for oral glucose tolerance test (OGTT)-defined prediabetes/diabetes according to the American Diabetes Association (ADA) criteria was assessed by the area under the receiver operating characteristic (ROC) curve (AUC). The Youden Index (YI) was used to determine optimal cut-off values, and a non-parametric ROC regression was used to examine whether the discriminatory accuracy varied by sex and age. 365 men (38.2%) and 257 women (23.6%) were newly diagnosed with prediabetes/diabetes. AUCs for TyG, LAP and VAI were 0.762 (95% CI 0.740-0.784), 0.743 (95% CI 0.720-0.765), and 0.687 (95% CI 0.662-0.712), respectively. The optimal cut-off values for the LAP and TyG were 56.70 and 8.75 in men, and 30.40 and 8.53 in women. In conclusion, TyG and LAP provide good discrimination of persons with prediabetes/diabetes.

Triglycerides and waist to height ratio are more accurate than visceral adiposity and body adiposity index to predict impaired fasting glucose

AIMS

To evaluate the clinical accuracy of novel indices visceral adiposity index (VAI) and body adiposity index (BAI) to identify patients with impaired fasting glucose (IFG) and compare with its individual components and other obesity indicators.

METHODS

A cross-sectional study was conducted in Mexican population. Body mass index (BMI), waist circumference, hip circumference, triglycerides (TG), High density lipoprotein cholesterol (HDL-C), VAI, BAI, waist to hip ratio (WHR) and waist to height ratio (WHtR) were determined. We plotted a receiver operating characteristic curves to assess the abilities to discriminate subjects with IFG from those with normal glucose tolerance (NGT) of the measurements. A binary logistic regression analysis was performed to determine the strength of association with IFG.

RESULTS

A total of 280 individuals were included, from which 144 (51.3%) have IFG; the mean age was 47.14 years and 164 (55.5%) were females. Compared with NGT subjects, the participants with IFG had significantly higher levels of BMI, WHtR, VAI, BAI and TG. The measurements with highest area under the curve were TG, (0.631, 95% confidence interval [CI] 0.566-0.697) VAI (0.628, 95% CI 0.563-0.693) and WHtR (0.622, 95% CI 0.557-0.688) and in the adjusted binary logistic regression model, were found to be independently associated with IFG, Odds Ratio of 2.665, (95% CI 1.567-4.533) 2.567 (95% CI 1.527-4.317) and 2.171 (95% CI 1.102-4.276) respectively.

CONCLUSIONS

Our data provide evidence that TG, VAI and WHtR could be considered potential tools for the risk assessment of type 2 diabetes mellitus (T2DM) in this population.

The Association Between Six Surrogate Insulin Resistance Indexes and Hypertension: A Population-Based Study

Background: The relationship between insulin resistance and hypertension is well established, but the association of different surrogate insulin resistance indexes with the presence of hypertension is still under debate. The aim of this study was to compare the strength of the association between the presence of hypertension and six indexes: triglyceride/HDL cholesterol ratio (TG/HDL-C), Triglyceride Glucose (TyG) Index, Visceral adiposity index (VAI), Lipid accumulation product (LAP), TyG-Body mass index (TyG-BMI), and TyG-Waist circumference (TyG-WC). Methods: Data from a cross-sectional epidemiological study enrolling a sample representative for the Romanian population aged 18-80 years, excluding those with diabetes or requiring treatment for hypertriglyceridemia, were used to calculate the six indexes. The association with the presence of hypertension was examined with binomial and multinomial logistic regression. Results: In multinomial logistic models, which included age, gender, smoking, drinking, sedentary lifestyle, estimated glomerular filtration rate, urinary sodium, urinary albumin creatinine ratio, and use of medications known to influence insulin resistance as covariates, all individual components and surrogate insulin resistance indexes were independently associated with the presence of hypertension. Values of pseudo R square ranged from 0.342 for the multivariate model including TG/HDL-C to 0.357 for the model including TyG-WC, but with no clear superiority of any of the tested indexes over all others. Models including BMI and WC had a similar ability to predict the presence of hypertension as most of the surrogate indexes and they were slightly superior to TG/HDL-C and TyG. Conclusions: Although TG/HDL-C, VAI, LAP, TyG, TyG-BMI, and TyG-WC were independently associated with the presence of hypertension, no superiority could be demonstrated over the use of BMI and WC as predictors of hypertension in this cross-sectional study.

Visceral adiposity index as a predictor for type 2 diabetes mellitus in Asian population: A systematic review

BACKGROUND

Visceral Adiposity Index (VAI) is a formula to estimate visceral fat accumulation which has been reported to have a better prediction for type 2 diabetes mellitus (T2DM) in Caucasian population. This systematic review is proposed to inquire whether VAI can be used as a predictor of T2DM in Asian population with different body composition compared to the Caucasian.

METHODS

All studies performed in Asia and published in English on VAI prediction on the incidence of T2DM were included. The search keywords used in Pubmed and Cochrane database were visceral adiposity index, VAI and T2DM.

RESULTS

Seven included studies, of which six studies were conducted in China and one in Iran. Four studies were prospective cohorts and the other three were cross-sectional. The largest study population were 7639 subjects, while the longest observation period was 15 years. This study found that VAI can be used as a predictor of T2DM in Asian population with better prediction values compared to Caucasian population. The reported odds ratio or hazard ratio ranged from 1.2 to 3.6.

CONCLUSIONS

VAI is a practical formula used to estimate the accumulation of visceral fat which can be used as a predictor for T2DM in Asian population.

Visceral adiposity index is a better predictor of unhealthy metabolic phenotype than traditional adiposity measures: results from a population-based study

OBJECTIVE

The present study aimed to investigate whether the visceral adiposity index (VAI) is an effective predictor to identify unhealthy metabolic phenotype by comparing normal-weight and overweight individuals.

DESIGN

A population-based cross-sectional study. Data were collected by interviews, anthropometric evaluation, dietetic, clinical and laboratory tests. The area under the receiver-operating characteristic curve (AUC) and prevalence ratio (PR), obtained from Poisson regression, were used to compare the predictive capacity of the obesity indicators evaluated (VAI, BMI, waist and neck circumference, waist-to-height and waist-to-hip ratios) and their association with the unhealthy metabolic phenotype. All analyses were stratified by sex and by nutritional status.

SETTING

Viçosa, Minas Gerais, Brazil.ParticipantsA total of 854 Brazilian adults (20-59 years old) of both sexes.

RESULTS

VAI was the best predictor for unhealthy metabolic phenotype among men (AUC = 0·865) and women (AUC = 0·843) at normal weight. VAI also had the best predictive capacity among overweight women (AUC = 0·903). Among overweight men, its accuracy (AUC = 0·830) was higher than that of waist-to-hip ratio. In the adjusted regression models, VAI was the indicator most strongly associated with the unhealthy metabolic phenotype, especially among those with normal weight (PR = 6·74; 95 % CI 3·15, 14·42 for men; PR = 7·14; 95 % CI 3·79, 13·44 for women).

CONCLUSIONS

VAI has better predictive capacity in detecting unhealthy metabolic phenotype than conventional anthropometric indicators, regardless of nutritional status and sex.

Visceral adiposity index as a useful tool for the assessment of cardiometabolic disease risk in women aged 65 to 74

BACKGROUND

The visceral adiposity index (VAI) is considered to be a reliable indicator of adipose tissue dysfunction and cardiometabolic disease risk. The aim of this study was to evaluate its usefulness in assessing cardiometabolic risk in a sample of elderly women living in a rural-urban community in central Poland.

METHODS

A total of 365 women aged 65 to 74 years were included in this cross-sectional study. All patients were interviewed to obtain their history of diabetes mellitus, myocardial infarction, stroke, and revascularization. For all participants, anthropometric measurements were performed, then body mass index (BMI) and waist/hip ratio were calculated. Blood pressure was measured on the arm and on both ankles, and the ankle/brachial index was calculated. Blood samples were collected for the assessment of glycemia, lipid profile, and creatinine level. In patients with elevated fasting glucose, the test was repeated, or an oral glucose tolerance test was performed where appropriate. Finally, carotid intima-media thickness was measured in all women.

RESULTS

The VAI of participants was significantly correlated with a history of myocardial infarction, higher carotid intima-media thickness, diabetes, prediabetes, and impaired kidney function. Furthermore, VAI demonstrated a better correlation with these endpoints than BMI or waist circumference.

CONCLUSIONS

The VAI can be considered a useful tool for the assessment of cardiometabolic disease risk in elderly women, with a score of ≥2.71 representing the cut-off point for identifying females at high risk. In such patients, screening for cardiovascular disease, abnormal glucose metabolism, and impaired kidney function should be routine practice.

Utility of three novel insulin resistance-related lipid indices for predicting type 2 diabetes mellitus among people with normal fasting glucose in rural China

BACKGROUND

Inexpensive and easily measured indices are needed for the early prediction of type 2 diabetes mellitus (T2DM) in rural areas of China. The aim of this study was to compare triglyceride glucose (TyG), visceral adiposity (VAI), and lipid accumulation product (LAP) with traditional individual measures and their ratios for predicting T2DM.

METHODS

Data for 11 113 people with baseline normal fasting glucose in a rural Chinese cohort were followed for a median of 6.0 years. Cox proportional hazards regression was used to calculate covariate-adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) and receiver operating characteristic analysis was used to compare the ability of traditional measures and TyG, VAI, and LAP at baseline to predict T2DM at follow-up.

RESULTS

Among individual measures, fasting plasma glucose (FPG) and waist circumference (WC) were strongly associated with T2DM. Of all lipid ratios, an elevated triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) ratio was associated the most with T2DM. Compared with the first quartiles of TyG, VAI, and LAP, their fourth quartiles were associated with T2DM for men (aHR 3.54 [95% CI 2.08-6.03], 2.89 [1.72-4.87], and 5.02 [2.85-8.85], respectively) and women (6.15 [3.48-10.85], 4.40 [2.61-7.42], and 6.49 [3.48-12.12], respectively). For predicting T2DM risk, TyG, VAI, and LAP were mostly superior to the TG:  HDL-C ratio, but did not differ from FPG and WC.

CONCLUSIONS

Prediction of T2DM was not improved by TyG, VAI, and LAP versus FPG or WC alone. Therefore, TyG, VAI, and LAP may not be inexpensive tools for predicting T2DM in rural Chinese people.

Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population

AIMS

We hypothesized that height-corrected abdominal size (supine sagittal abdominal diameter/height ratio [SADHtR] or waist circumference/height ratio [WHtR]) would associate more strongly than body mass index (BMI, weight/height²) with levels of fasting insulin, triglycerides, and three derived biomarkers of insulin resistance.

METHODS

Anthropometry, including SAD by caliper, was collected on 4398 adults in the 2011-2014 National Health and Nutrition Examination Survey. For comparison purposes, each adiposity indicator was scaled to its population-based, sex-specific, interquartile range (IQR). For each biomarker we created four outcome groups based on equal-sized populations with ascending values. Multivariable polytomous logistic regression modeled the relationships between the adiposity indicators and each biomarker.

RESULTS

Highest-group insulin was associated with a one-IQR increment of BMI (RR 4.3 [95% CI 3.9-4.9]), but more strongly with a one-IQR increment of SADHtR (RR 5.7 [5.0-6.6]). For highest-group HOMA-IR the RR for BMI (4.2 [3.7-4.6]) was less than that of SADHtR (6.0 [5.1-7.0]). Similarly, RRs for BMI were smaller than those for SADHtR applying to highest-group triglycerides (RR 1.6 vs 2.1), triglycerides/HDL-cholesterol (RR 1.9 vs 2.4) and TyG index (RR 1.7 vs 2.2) (all p < .001). The RRs for WHtR were consistently between those for SADHtR and BMI. The top 25% of insulin resistance among US adults was estimated to lie above adiposity thresholds of 0.140 for SADHtR, 0.606 for WHtR, or 29.6 kg/m² for BMI.

CONCLUSIONS

Relative abdominal size rather than relative weight may better define adiposity associated with homeostatic insulin resistance. These population-based, cross-sectional findings could improve anthropometric prediction of cardiometabolic risk.

Association between the Hypertriglyceridemic Waist Phenotype and Prediabetes in Chinese Adults Aged 40 Years and Older

OBJECTIVE

To investigate the association between the hypertriglyceridemic waist (HTGW) phenotype and prediabetes in Chinese adults aged 40 years and older.

METHODS

12757 adults (4101 men and 8656 women) without diabetes or cardiovascular and cerebrovascular diseases, free of using lipid-modified agents, were enrolled in this cross-sectional study. The HTGW phenotype was defined as elevated serum triglyceride concentrations and enlarged waist circumference. A two-hour post 75 g oral glucose tolerance test was performed in all participants. Multiple logistic regression analysis was used to evaluate the relationship of the HTGW phenotype with prediabetes.

RESULTS

Individuals with the HTGW phenotype had a higher adjusted odds ratio (OR: 1.70; 95% CI: 1.48-1.95) of prediabetes than those without the phenotype. There existed a strong relationship of the HTGW phenotype with impaired glucose tolerance (IGT) (OR: 1.83; 95% CI: 1.57-2.13), but not with impaired fasting glucose (IFG) (OR: 0.87; 95% CI: 0.65-1.17). Only women with the HTGW phenotype are significantly associated with the combined IFG and IGT (OR: 1.83; 95% CI: 1.28-2.62).

CONCLUSIONS

The HTGW phenotype was a useful risk indicator and a practical screening tool to benefit in the early diagnosis and intervention for prediabetes, particularly for IGT and the combined IFG and IGT.

A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective study

The Chinese visceral adiposity index (CVAI) is a recently developed indicator of visceral adiposity. We investigated the predictive value of the CVAI for the development of dysglycemia (pre-diabetes and type 2 diabetes) and compared its predictive power with that of the Visceral adiposity index (VAI) and various anthropometric indices. This community-based study included 2,383 participants. We assessed the predictive power of adiposity indices by performing univariate and multivariate binary logistic regression analysis and calculating the area under the receiver-operating characteristic (ROC) curve according to their quartiles. Logistic regression analysis showed that individuals in higher CVAI quartiles at baseline were more likely to develop dysglycemia than those in lower CVAI quartiles. The area under the ROC curve for CVAI was significantly higher than that of other adiposity indices. In addition, among the various adiposity indices tested, the CVAI had the greatest Youden index for identifying dysglycemia in both genders. Our data demonstrate that the CVAI is a better predictor of type 2 diabetes and pre-diabetes than the VAI, BMI, waist circumference, waist-to-hip ratio and waist-to-height ratio in Chinese adults.

Visceral adiposity index levels in overweight and/or obese, and non-obese patients with polycystic ovary syndrome and its relationship with metabolic and inflammatory parameters

BACKGROUND

Visceral adiposity index (VAI) is a proposed parameter to evaluate visceral obesity instead of waist circumference (WC) in patients with polycystic ovary syndrome (PCOS). We aimed to evaluate VAI levels in overweight and/or obese, and non-obese PCOS patients and investigate the association between metabolic and inflammatory parameters.

METHODS

Seventy-six PCOS patients between 18 and 40, and 38 age- and BMI-matched controls were enrolled into the study. Both PCOS groups and controls were classified into two subgroups according to body mass index (BMI) <25 and ≥25 kg/m².

RESULTS

In PCOS patients, waist/hip ratio (WHR) (p = 0.023), diastolic blood pressure (DBP) (p = 0.001), insulin (p = 0.011), homeostasis of model assessment (HOMA-IR) (p = 0.006) and uric acid (UA) (p = 0.002) were higher than controls. In overweight and/or obese PCOS group, DBP (p < 0.001), insulin (p = 0.002), HOMA-IR (p = 0.001), triglyceride (p = 0.015) and VAI (p = 0.031) were higher than overweight and/or obese controls. In non-obese PCOS group, WHR (p = 0.016), WC (p = 0.030), DBP (p = 0.010) and UA (p < 0.001) were higher than non-obese controls. Similar VAI levels were found in all PCOS and non-obese PCOS subgroups than peer controls. Overweight and/or obese PCOS group had higher VAI levels than non-obese PCOS group (p < 0.001). VAI levels were positively correlated with WHR, glucose, HOMA-IR, high-sensitive CRP and UA in PCOS group. In controls, VAI levels were positively correlated with WHR, insulin and HOMA-IR.

CONCLUSION

We found that VAI levels were higher in overweight and/or obese PCOS patients compared to peer controls and non-obese PCOS patients, and associated with some metabolic and inflammatory parameters.