Association Between the Visceral Adiposity Index and Homeostatic Model Assessment of Insulin Resistance in Participants With Normal Waist Circumference

Circulating Selenium Level Was Positively Related to Visceral Adiposity Index with a Non-linear Trend: a Nationwide Study of the General Population

Selenium plays a role in obesity. However, whether circulating selenium levels are related to the visceral adiposity index (VAI), an indicator of obesity, is still unknown. Based on the National Health and Nutrition Examination Survey (NHANES) 2011-2018, data from 12,777 individuals aged ≥ 20 years were analyzed to clarify this question. In fully adjusted models of multivariate regression analysis, natural logarithm (Ln) selenium was positively related to Ln VAI (β = 0.41; 95% confidence interval [CI], 0.27, 0.55; P < 0.001). Compared with the lowest quartile of Ln selenium, the highest quartile was also positively associated with Ln VAI (β = 0.16; 95% CI, 0.11, 0.21; P < 0.001). Moreover, we found that this positive connection was non-linear. When Ln selenium was less than the inflection point, Ln selenium was positively related to Ln VAI (β = 0.41; 95% CI, 0.31, 0.52; P < 0.001). However, when Ln selenium was greater than or equal to the inflection point, Ln selenium was not significantly related to Ln VAI (β = -0.15; 95% CI, -0.56, 0.25; P = 0.455). In subgroup analysis, significant interactions were observed with age and sex (P for interaction < 0.05). Stronger interactions were observed among middle-aged participants (β = 0.65; 95% CI, 0.31, 0.98; P = 0.002) and males (β = 0.61; 95% CI, 0.43, 0.79; P < 0.001). Overall, circulating selenium levels were positively related to VAI, with a non-linear trend. Prospective studies and interventional experiments are necessary to verify the possible mechanisms.

The association between dietary inflammatory index with some cardio-metabolic risk indices among the patients with type 2 diabetes from Hoveyzeh cohort study: a cross-sectional study

BACKGROUND

The dietary inflammatory index (DII) serves as a tool to assess the inflammatory impact of an individual's diet. This study aimed to investigate the association between DII and some cardio-metabolic risk indices among patients with T2DM.

METHODS

Data from the Hoveyzeh Cohort Study, encompassing 2045 adults with T2DM, were analyzed. DII scores were calculated based on food frequency questionnaires. Anthropometric measurements and biochemical tests were performed to assess cardio-metabolic risk factors.

RESULTS

Higher DII scores were positively associated with elevated triglyceride levels, triglyceride-glucose (TyG) index, lipid accumulation product (LAP), anthropometric indices including a body shape index (ABSI), body roundness index (BRI), body mass index (BMI), hip, waist circumferences (WC), and waist-to-height ratio (all Ptrend < 0.05). Notably, no significant association was observed between DII and fasting blood sugar (FBS) levels (Ptrend > 0.05). Additionally, dietary intake analysis revealed a negative correlation between DII scores and intake of fiber, fruits, vegetables, legumes, fish, seafood, dairy products, magnesium, and vitamins A, C, D, and E (all Ptrend < 0.05). Conversely, higher DII scores were associated with increased consumption of red meat, processed meat, refined cereals, potatoes, and soft drinks (all Ptrend < 0.05).

CONCLUSION

This study underscores the critical link between dietary inflammation, assessed by the DII score, and a multitude of cardio-metabolic risk factors in patients with T2DM. Notably, while the study did not find a significant association between DII and fasting blood sugar levels, it identified robust associations with novel anthropometric and biochemical indices indicative of cardio-metabolic risk. These findings highlight the potential of dietary interventions as a cornerstone strategy for managing T2DM and mitigating its associated complications.

J-shaped association of the triglyceride glucose-body mass index with new-onset diabetes

The triglyceride glucose-body mass index (TyG-BMI) is a convenient and clinically significant indicator of insulin resistance. This study aims to investigate the correlation between TyG-BMI and the onset of new-onset diabetes and determine an optimal reflection point for TyG-BMI. An analysis was conducted on 1917 participants from the risk evaluation of cancers in Chinese diabetic individuals: a lONgitudinal (REACTION) study. Participants were categorized based on their TyG-BMI, and the relationship between TyG-BMI and the incidence of new-onset diabetes was explored through logistic regression models, smoothed curve fitting with restricted cubic spline, and a two-piecewise logistic regression model. The mean age of the participants was 57.60 ± 8.89 years, with 66.5% being females. The mean TyG-BMI was 223.3 ± 32.8. Ultimately, 137 individuals (7.1%) progressed to diabetes after three years. After adjusting for covariates, TyG-BMI exhibited a positive correlation with new-onset diabetes (odd ratios (OR) for each standard deviation increase = 1.330, 95% CI 1.110-1.595). The relationship between TyG-BMI and new-onset diabetes was non-linear, with a inflcetion point at 202.9. This study reveals a positive non-linear relationship between TyG-BMI and the risk of new-onset diabetes in Chinese middle-aged and elderly individuals. When TyG-BMI exceeds 202.9, there is a significantly heightened risk of new-onset diabetes. These findings offer valuable insights for preventing new-onset diabetes.

Lipid-based insulin-resistance markers predict cardiovascular events in metabolic dysfunction associated steatotic liver disease

BACKGROUND

Insulin resistance (IR) is the cornerstone of Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD), pathophysiologically being the key link between MASLD, metabolic disorders, and cardiovascular (CV) diseases. There are no prospective studies comparing the predictive values of different markers of insulin resistance (IR) in identifying the presence of MASLD and the associated risk of cardiovascular events (CVEs).

METHODS

Post hoc analysis of the prospective Plinio Study, involving dysmetabolic patients evaluated for the presence of MASLD. The IR markers considered were Homeostatic Model Assessment for IR (HOMA-IR), Triglycerides-Glycemia (TyG) index, Triglycerides to High-Density Lipoprotein Cholesterol ratio (TG/HDL-C), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI). Receiver operative characteristic (ROC) analyses were performed to find the optimal cut-offs of each IR marker for detecting MASLD and predicting CVEs in MASLD patients. Logistic and Cox multivariable regression analyses were performed, after dichotomizing the IR markers based on the optimal cut-offs, to assess the factors independently associated with MASLD and the risk of CVEs.

RESULTS

The study included 772 patients (age 55.6 ± 12.1 years, 39.4% women), of whom 82.8% had MASLD. VAI (Area Under the Curve [AUC] 0.731), TyG Index (AUC 0.723), and TG/HDL-C ratio (AUC: 0.721) predicted MASLD but was greater with HOMA-IR (AUC: 0.792) and LAP (AUC: 0.787). After a median follow-up of 48.7 (25.4-75.8) months, 53 MASLD patients experienced CVEs (1.8%/year). TyG index (AUC: 0.630), LAP (AUC: 0.626), TG/HDL-C (AUC: 0.614), and VAI (AUC: 0.590) demonstrated comparable, modest predictive values in assessing the CVEs risk in MASLD patients.

CONCLUSION

In dysmetabolic patients HOMA-IR and LAP showed the best accuracy in detecting MASLD. The possible use of lipid-based IR markers in stratifying the CV risk in patients with MASLD needs further validation in larger cohorts.

Relationship between visceral adiposity index and glycemic and metabolic control in children and adolescents with type 1 diabetes mellitus

BACKGROUND

Visceral Adiposity Index (VAI) is a gender-specific mathematical model based on BMI, waist circumference (WC) and lipid parameters. No study has yet examined the relationship between this index and the glycemic and metabolic parameters in children and adolescents with Type 1 Diabetes Mellitus (DM). The current study aims at examining the relationship between glycemic and metabolic control and VAI in children and adolescents with Type 1 DM.

METHODS

A total of 150 children and adolescents aged 6-18 years with Type 1 DM were included in this study. Anthropometric, glycemic and metabolic parameters were examined. VAI was calculated using gender-specific formulas. Statistical analysis was done by SPSS version 23.

RESULTS

The average age of the participants was 12.2 ± 3.1 years (females 53.0%). The females had higher rates of VAI, microalbuminuria and hypertension than males. Participants of both gender with higher VAI quartiles had higher anthropometric measurements, insulin usage, low-density lipoprotein cholesterol (LDL-C), triglycerides and urine microalbumin and had poor glycemic control. Sex adjusted correlation analysis showed that VAI is negatively correlated with estimated glucose disposal rate (eGDR), and positively correlated with insulin dose, LDL-C, triglycerides, glycosylated hemoglobin (HbA1c) and microalbuminuria.

CONCLUSION

The present paper is the first study examining the relationship between Type 1 DM and VAI. Higher VAI values in children and adolescents with type 1 DM may adversely affect glycemic and metabolic control. VAI can be a useful and new method in evaluating glycemic and metabolic control in children and adolescents with Type 1 DM.

Interrelation between the lipid accumulation product index and diabetic kidney disease in patients with type 2 diabetes mellitus

Objective

The purpose of this study was to determine the relation between the lipid accumulation product index (LAPI) and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM).

Methods

Herein, 931 patients were enrolled and their data were collected. Then the interrelation between LAPI and DKD was assessed using multivariate logistic regression analyses (LRAs) and by a restricted cubic spline (RCS).

Results

In total, 931 participants (352 females and 579 males) aged 55 years on average were included in the study. After adjusting for several confounders, the odds ratio for DKD was increased evidently in the third LAPI tertile compared with that in the first LAPI tertile. In addition, the RCS revealed a positive interrelation between LAPI and DKD. In the subgroup analyses, age, sex, hyperlipidemia, hypertension, and HbA1c did not significantly interact with LAPI.

Conclusions

LAPI was higher in the DKD group than in the no-DKD group, and LAPI is positively linked with DKD, which may have potential value to diagnose DKD in clinical practice.

The association between dietary pattern and visceral adiposity index, triglyceride-glucose index, inflammation, and body composition among Iranian overweight and obese women

The aim of the present study was to investigate the association between dietary patterns, derived through latent class analysis (LCA), with visceral adiposity index (VAI), Triglyceride-Glucose Index (TyG), inflammation biomarkers, and body composition in overweight and obese Iranian women. For this cross-sectional study, dietary exposure was assessed using a validated 147-item semi-quantitative food frequency questionnaire (FFQ). Dietary patterns were derived through LCA. Binary logistic was performed to test the associations of dietary patterns with VAI, TyG, inflammation biomarkers, and body composition. Health centers in Tehran, Iran. 376 obese and overweight women, aged > 18 years. Two dietary patterns were identified using LCA modeling: healthy and unhealthy. Women in the unhealthy class were characterized by higher consumption of fast food, sweetened beverages, grains, unhealthy oils, butter and margarine, and snacks. Compared with the healthy class, the unhealthy class was associated with an increased risk of higher fasting blood sugar (FBS) (OR = 6.07; 95% CI: 1.33-27.74, P value = 0.02), c-reactive protein (CRP) (OR = 1.72; 95% CI: 1.05-2.80; P value = 0.02), and lower fat free mass index (FFMI) (OR = 0.56; 95% CI: 0.35-0.88, P value = 0.01), after adjusting for confounders. We found that adherence to an unhealthy dietary pattern was associated with decreased FFMI and increased FBS and CRP using LCA, but not with the rest of the variables. Further studies should be conducted to confirm the veracity of these findings.

Comparison of insulin resistance indices in predicting albuminuria among patients with type 2 diabetes

PURPOSE

Diabetes is the leading cause of kidney disease. Up to 40% of the population with diabetes experience diabetic kidney disease (DKD). The correlation of DKD with insulin resistance (IR) indices has been shown in previous studies. In this study, the objective was to evaluate surrogate IR indices, including the Triglyceride-Glucose (TyG) index, Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to find the most valuable index for the correlation between albuminuria and IR in the type 2 diabetes (T2D) population. Albuminuria is defined as urine albumin excretion of > 30 mg/day.

METHODS

In this cross-sectional study, 2934 participants were enrolled and evaluated for urinary albumin excretion, and albuminuria was detected in 526 of the entries. The logistic regression models and Receiver Operating Characteristic (ROC) curve analysis were performed to assess the relationship of TyG index, VAI, LAP, and HOMA-IR's with albuminuria in patients with T2D.

RESULTS

The TyG index had the highest association (OR 1.67) with the presence of albuminuria in patients with T2D, followed by HOMA-IR (OR 1.127), VAI (OR 1.028), and LAP (OR 1.004). These four indices remained independent after adjustment for multiple confounders. Based on the ROC curve, TyG revealed the best area under the curve (AUC) for revealing albuminuria with sufficient accuracy (AUC: 0.62) in comparison with other measured indices. The calculated TyG index cut-off point for the presence of albuminuria was 9.39.

CONCLUSION

Among the indices, TyG index had the most significant correlation with albuminuria in patients with T2D.

Testosterone deficiency in non-obese type 2 diabetic male patients

BACKGROUND AND AIMS

it is unclear whether male hypogonadism is ascribable to the diabetic state per se, or because of other factors, such as obesity or age. We aimed to investigate the prevalence and identify the predictors for testosterone deficiency among non-obese type 2 diabetic males.

METHODS

This cross-sectional study was conducted on 95 nonobese type 2 diabetic males with BMI below 30. We evaluated the total testosterone (TT) levels to determine prevalence and risk factors of testosterone deficiency. Serum TT ≤ 300 ng/dl defined testosterone deficiency.

RESULTS

The prevalence of testosterone deficiency was 29.1%. Testosterone deficient patients had statistically significantly higher visceral adiposity index (VAI), waist, and triglyceride in comparison with normal testosterone patients. TT level correlated with VAI, waist, BMI, LH, and age. VAI was the only significant predictor of TT levels even after adjustment for age and BMI in regression analysis. Furthermore, VAI was a statistically significant risk factor for testosterone deficiency in binary logistic analysis.

CONCLUSIONS

testosterone deficient non-obese type 2 diabetic male patients had elevated VAI, waist, and triglyceride. Moreover, elevated VAI was a risk factor for testosterone deficiency. VAI could be an easily applicable and reliable index for the evaluation and prediction in type 2 non-obese diabetic males.

Metabolik sendrom, insülin direnci, diabetes mellitus ve hipertansiyonu öngörmede visseral adipozite indeksi kesme değerlerinin belirlenmesi

Introduction: The visceral adiposity index is a reliable indicator of visceral adipose tissue dysfunction. The aim of this research was to determine the cut-off points of the visceral adiposity index in predicting metabolic syndrome, insulin resistance, type 2 diabetes mellitus, and hypertension at specific age ranges and in both sexes separately.Methods: This research is both descriptive and analytical. The research was conducted with 951 participants aged 18 and over between July 2019 and July 2020. 51 participants that did not meet study criteria were excluded from the research. The research was completed with a total of 900 participants, 577 females and 373 males. A physical examination and anthropometric measurements (height, weight, waist circumference, and blood pressure) of all participants were conducted. After 12 hours of fasting, the HDL, TG, glucose, and insulin levels of participants were measured. The blood pressure of participants was measured after 15 minutes of rest. Adult treatment panel 3 criteria were used for the diagnosis of metabolic syndrome. A homeostatic model assessment was calculated. The visceral adiposity index is calculated in the entire population for the prediction of metabolic syndrome, insulin resistance, diabetes, and hypertension: women, men, age groups 18–30, 31–40, 41–50, 51–65, 66 and over.Results: Cut-off points of the visceral adiposity index in predicting metabolic syndrome were 4.53 in the total population and males, 4.28 in females, 4.76 in the 18-30 age range, 4.96 in the 31-40 age range, 4.87 in the 41-50 age range, 5.04 in the 51-65 age range, and 4.59 in the age range 66 and above. Cut-off points of the visceral adiposity index in predicting insulin resistance were 4.24 in the total population and females, 4.68 in males, 3.45 in the 18-30 age range, 4.15 in the 31-40 age range, 4.66 in the 41-50 age range, and 4.87 in the 51-65 age range. Cut-off points of the visceral adiposity index in predicting type 2 diabetes mellitus were 4.89 in the total population, 6.43 in females, 7.02 in the 31-40 age range, 7.29 in the 41-50 age range, and 5.98 in the 51-65 age range. Cut-off points of the visceral adiposity index in predicting hypertension were 4.26 in the total population, 4.07 in females, 4.64 in the 18–30 age range, and 4.43 in the 51–65 age range.Conclusions: The visceral adiposity index can be used to predict metabolic syndrome, insulin resistance, type 2 diabetes mellitus and hypertension.

Visceral Adiposity Index and Lipid Accumulation Product Related to Insulin Resistance and Metabolic Syndrome in Obese College Students

BACKGROUND: Visceral obesity in adolescent girls increased the risk of cardiometabolic disease. A simple indicator has been developed to assess metabolic risk through visceral adiposity index (VAI) and lipid accumulation product (LAP) in people with visceral obesity. AIM: This study analyzed the relationship between VAI and LAP with insulin resistance (IR) and metabolic syndrome (MS) in obese female adolescents. METHODS: An observational study was conducted on 120 students at Universitas Diponegoro. VAI was obtained from calculation formulations which includes body mass index, waist circumference (WC), triglycerides (TGs), and High-density lipoprotein (HDL) cholesterol. LAP was obtained from calculation formulation which include WC and TGs. IR values were obtained based on the calculation of homeostasis for assessment models IR. The metabolic syndrome score (cMetS) was obtained by the calculation of components of WC, blood pressure, fasting blood glucose, TG, and HDL cholesterol. Bivariate analysis using the Spearman Rank correlation test. RESULTS: We found that 40% of subjects had a VAI score that was considered at risk. As many as 20.8% of obese adolescent girls experience MetS while the other 79.2% are pre-metabolic syndrome and 83.3% of subjects have experienced IR. VAI showed a significant relationship with IR (p ≤ 0.001; r = 0.667) and cMetS (p = 0.007; p = 0.245). LAP showed a significant relationship with IR (p < 0,001; r = 0,385) and MS (p < 0,001; r = 0.372). CONCLUSION: We found that VAI and LAP could be an indicator for estimating IR and MS in obese female adolescent.

Metabolic Obesity in People with Normal Body Weight (MONW)-Review of Diagnostic Criteria

Disorders of metabolic obesity with normal body weight (MONW) are widely recognized risk factors for the development of cardiovascular diseases and type 2 diabetes. Despite this, MONW is not diagnosed in clinical practice. There is no consensus on the definition of MONW, and measuring the degree of insulin resistance or obesity among apparently healthy, non-obese patients is not widely applicable. The awareness of the relationship between metabolic disorders such as MONW and a higher risk of mortality from cardiovascular causes and other related diseases prompts the need for action to be taken aimed at creating appropriate diagnostic models that will allow for the effective detection of those with metabolic abnormalities among people with normal body weight. Such actions are decisive in the prevention and treatment of diseases. Therefore, the purpose of this article is to review the MONW diagnostic criteria used over the years.

Association Between Visceral Adiposity Index and Insulin Resistance: A Cross-Sectional Study Based on US Adults

BACKGROUND

Visceral obesity index (VAI) is an empirical mathematical model used to evaluate the distribution and function of fat. Some studies have shown that VAI may be associated with the development of insulin resistance. In view of the differences in insulin resistance among different ethnic groups, this study attempts to analyze the special relationship between VAI and insulin resistance in American adults.

METHODS

We conducted a cross-sectional study through NHANES database. A total of 27309 patients over the age of 18 from the United States took part in the survey. It was divided into two groups: the IR-positive group and the IR-negative group. The association of VAI with IR was evaluated by logistic regression analyses mainly, including univariate analysis, multivariate regression analysis, curve fitting analysis and subgroup analysis.

RESULTS

The results showed that in the full-adjusted model, there is a strong positive association between VAI level and insulin resistance (OR: 1.28 (1.2~1.37), P<0.001) and there is a threshold effect.

CONCLUSIONS

This study suggests that higher VAI levels are associated with insulin resistance. VAI index may be used as a predictor of insulin resistance.

Higher visceral adiposity index is associated with increased likelihood of abdominal aortic calcification

BACKGROUND

The negative effects of visceral adiposity accumulation on cardiovascular health have drawn much attention. However, the association between the Visceral Adiposity Index (VAI) and Abdominal Aortic Calcification (AAC) has never been reported before. The authors aimed to investigate the association between the VAI and AAC in US adults.

METHODS

Cross-sectional data were derived from the 2013 to 2014 National Health and Nutrition Examination Survey (NHANES) of participants with complete data of VAI and AAC scores. Weighted multivariable regression and logistic regression analysis were conducted to explore the independent relationship between VAI and AAC. Subgroup analysis and interaction tests were also performed.

RESULTS

A total of 2958 participants were enrolled and participants in the higher VAI tertile tended to have a higher mean AAC score and prevalence of severe AAC. In the fully adjusted model, a positive association between VAI and AAC score and severe AAC was observed (β = 0.04, 95% CI 0.01‒0.08; OR = 1.04, 95% CI 1.01‒1.07). Participants in the highest VAI tertile had a 0.41-unit higher AAC score (β = 0.41, 95% CI 0.08‒0.73) and a significantly 68% higher risk of severe AAC than those in the lowest VAI tertile (OR = 1.68, 95% CI 1.04‒2.71). Subgroup analysis and interaction tests indicated that there was no dependence for the association of VAI and AAC.

CONCLUSION

Visceral adiposity accumulation evaluated by the VAI was associated with a higher AAC score and an increased likelihood of severe AAC.

Predictive Effect of Triglyceride Glucose-Related Parameters, Obesity Indices, and Lipid Ratios for Diabetes in a Chinese Population: A Prospective Cohort Study

OBJECTIVE

The purpose of this study was to evaluate the association between triglyceride glucose (TyG) index and new-onset diabetes under different glycemic states and to compare the predictive value of TyG-related parameters, obesity indices, and lipid ratios for new-onset diabetes.

METHODS

Data were collected from the China Health and Retirement Longitudinal Study (CHARLS), consisting of 6,258 participants aged ≥45 years. Participants were grouped according to their glycemic states. Cox proportional hazards models and restricted cubic spline regression were used to explore the association between TyG index and diabetes. Cox proportional hazard models were applied to confirm the predictive value of the optimal marker. Receiver operating characteristic (ROC) curves were used to compare the predictive value.

RESULTS

TyG index was positively correlated with the risk of diabetes (hazard ratio (HR), 1.75; 95% confidence interval (CI), 1.56-1.97), and the linear association existed (p < 0.001). The highest correlation with diabetes was visceral adiposity index (VAI) (HR, 2.04; 95% CI, 1.44-2.90) in normal fasting glucose (NFG) group and TyG-body mass index (TyG-BMI) (HR, 2.53; 95% CI, 1.97-3.26) in impaired fasting glucose (IFG) group. The largest area under curve (AUC) was observed in TyG-waist-to-height ratio (TyG-WHtR) in the NFG group (AUC, 0.613; 95% CI, 0.527-0.700), and TyG-BMI had the highest AUC in the IFG group (AUC, 0.643; 95% CI, 0.601-0.685).

CONCLUSION

The association between TyG index and new-onset diabetes was positive and linear. TyG-WHtR was a clinically effective marker for identifying the risks of diabetes in the NFG group and TyG-BMI was an effective marker to predict diabetes in the IFG group.

Expert opinion on the preoperative medical optimization of adults with diabetes undergoing metabolic surgery

Diabetes mellitus (DM) and obesity are interrelated in a complex manner, and their coexistence predisposes patients to a plethora of medical problems. Metabolic surgery has evolved as a promising therapeutic option for both conditions. It is recommended that patients, particularly those of Asian origin, maintain a lower body mass index threshold in the presence of uncontrolled DM. However, several comorbidities often accompany these chronic diseases and need to be addressed for successful surgical outcome. Laparoscopic Roux-en-Y gastric bypass (RYGB) and laparoscopic sleeve gastrectomy (LSG) are the most commonly used bariatric procedures worldwide. The bariatric benefits of RYGB and LSG are similar, but emerging evidence indicates that RYGB is more effective than LSG in improving glycemic control and induces higher rates of long-term DM remission. Several scoring systems have been formulated that are utilized to predict the chances of remission. A glycemic target of glycated hemoglobin < 7% is a reasonable goal before surgery. Cardiovascular, pulmonary, gastrointestinal, hepatic, renal, endocrine, nutritional, and psychological optimization of surgical candidates improves perioperative and long-term outcomes. Various guidelines for preoperative care of individuals with obesity have been formulated, but very few specifically focus on the concerns arising from the presence of concomitant DM. It is hoped that this statement will lead to the standardization of presurgical management of individuals with DM undergoing metabolic surgery.

Lipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuela

BACKGROUND

Visceral adiposity is related to insulin resistance (IR), a metabolic state considered as a risk factor for other cardiometabolic diseases. In that matter, mathematical indexes such as the visceral adiposity index (VAI) and the lipid accumulation product (LAP) could indirectly assess IR based on visceral adiposity.

OBJECTIVE

To evaluate the association and diagnostic accuracy of VAI and LAP to diagnose IR in the adult population of Maracaibo city.

METHODS

This is a cross-sectional descriptive study with multistage sampling. Receiver operating characteristic (ROC) curves were built to determine VAI and LAP cutoff points to predict IR. A set of logistic regression models was constructed according to sociodemographic, psychobiologic, and metabolic variables.

RESULTS

1818 subjects were evaluated (51.4% women). The area under the curve (AUC) values for LAP and VAI were 0.689 (0.665-0.714) and 0.645 (0.619-0.670), respectively. Both indexes showed a higher IR risk in the upper tertile in bivariate analysis. However, in the logistic regression analysis for the IR risk, only the 2nd (OR: 1.91; 95% CI: 1.37-2.65; p < 0.01) and 3rd (OR: 5.40; 95% CI: 3.48-8.39; p < 0.01) LAP tertiles showed a significant increase. This behaviour was also observed after adjusting for hs-C-reactive protein (hs-CPR).

CONCLUSION

Although both indexes show a low predictive capacity in individuals with IR in the Maracaibo city population, the LAP index was more strongly associated with IR.

Can "VAI" Better Indicate Metabolic Syndrome Compared with Other Metabolic Syndrome-Related Parameters in Patients with Thyroid Nodules? A Study from Turkey

Background: To investigate the relationship between visceral adiposity index (VAI) and other metabolic syndrome (MetS)-related parameters, and thyroid nodules. Methods: This single-center, prospective, case-control study included 67 patients with thyroid nodules and 48 healthy volunteers with similar age, sex, and body mass index (BMI). Biochemical parameters were obtained from medical charts. Anthropometric measurements and total body composition analysis were performed to calculate VAI and other MetS parameters. The parenchymal structure was evaluated according to VESINC (Volume, Echogenicity, Sonographic texture, Infiltration of pseudonodular Nodules, Cysts) system on thyroid ultrasound and nodule characteristics were also detected. MetS was defined according to International Diabetes Federation criteria. Results: We examined a total of 67 patients with thyroid nodule and 48 healthy volunteers. Sixty-one (91%) were female in the patient group; and 43 (90%) were female in the control group. The mean age was 48.5 ± 11.6 years in the patient group; 47.2 ± 9.5 years in the control. The median VAI was significantly higher in the patient group than the control group [4.1 interquartile range (IQR: 2.6-5.9) vs. 3 (IQR: 2-4.3), P = 0.024]. There was a positive correlation between VAI and BMI, waist/hip ratio (WHpR), waist/height ratio (WHtR), and homeostasis of model assessment of insulin resistance (HOMA-IR). On the other hand, there was no significant correlation between VAI and thyroid function tests and autoantibodies and thyroid volume. Conclusions: In conclusion, we demonstrated that MetS was more common in patients with thyroid nodules. Although VAI and HOMA-IR levels were significantly different between the two groups, we found no significant difference in terms of waist circumference, WHpR, and WHtR. This might suggest that VAI compared with these parameters, better predicts the risk of MetS in patients with thyroid nodules.

Body Fat Indices as Effective Predictors of Insulin Resistance in Obstructive Sleep Apnea: Evidence from a Cross-Sectional and Longitudinal Study : BFI as Predictors of IR in OSA

PURPOSE

Body fat indices serve as predictive markers of insulin resistance (IR) in metabolic diseases. IR is common in obstructive sleep apnea (OSA). However, whether body fat indices have utility as predictors of IR in OSA remain unknown.

MATERIALS AND METHODS

A longitudinal study was conducted in 46 patients undergoing bariatric surgery to explore the relationship between IR and body fat indices. Then, a cross-sectional study was performed to evaluate the relationships between body fat indices and IR, and receiver operating characteristic (ROC) curves were generated. Body indices, homeostasis model assessment index of insulin resistance (HOMA-IR), biological indicators, and polysomnographic variables were collected.

RESULTS

In the longitudinal study, significant relationships were found between remission of IR and changes in visceral adiposity index (VAI) (r = 0.452, P < 0.05) and triglyceride-glucose index (TyG) (r = 0.650, P < 0.01). In the cross-sectional study, lipid accumulation product (LAP) (best cutoff value: 30.16, area under the curve (AUC) = 0.728, P < 0.001) and TyG (best cutoff value: 8.54, AUC = 0.740, P < 0.001) were indicators of IR in normal weight group. In overweight/obese group, body mass index (BMI) (best cutoff value: 27.69 AUC = 0.707, P < 0.001) and waist circumference (WC) (best cutoff value: 97.25, AUC = 0.708, P < 0.001) were markers of IR. TyG showed better ability to predict IR in normal weight females (best cutoff value: 8.39 AUC = 0.813, P < 0.001).

CONCLUSIONS

Body fat indices are predictive markers of IR in patients with OSA.

The association of the visceral adiposity index with insulin resistance and beta-cell function in Korean adults with and without type 2 diabetes mellitus

This study was conducted to assess the association of the visceral adiposity index (VAI) with insulin resistance and beta cell function in Korean adults with and without type 2 diabetes mellitus. The study was carried out using data from the 2015 Korean National Health and Nutrition Examination Survey (KNHANES VI-3) and included 4,922 adults, aged 20 or older. There were several key findings in the present study. First, in subjects without type 2 diabetes mellitus, homeostasis model assessment of insulin resistance (HOMA-IR) (p < 0.001) and beta cell function (HOMA-B) (p < 0.001), insulin (p < 0.001), fasting blood glucose (FBG) (p < 0.001), and metabolic syndrome (MetS) score (p < 0.001) were positively associated with quartiles of VAI. Second, in subjects with type 2 diabetes mellitus, HOMA-IR (p = 0.038), FBG (p = 0.007), and MetS score (p < 0.001) were positively associated with quartiles of VAI, but associations with HOMA-B (p = 0.879) and insulin (p = 0.104) were not significant. In conclusions, the visceral adiposity index is positively associated with insulin resistance and beta cell function in Korean adults without type 2 diabetes mellitus. The visceral adiposity index is positively associated with insulin resistance but not beta cell function in Korean adults with type 2 diabetes mellitus.

Association between coronary atherosclerosis and visceral adiposity index

BACKGROUND AND AIMS

Visceral obesity is a marker of dysfunctional adipose tissue and ectopic fat infiltration. Many studies have shown that visceral fat dysfunction has a close relationship with cardiovascular disease. For a better identification of visceral adiposity dysfunction, the visceral adiposity index (VAI) is used. Coronary artery calcium score (CACS) is known to have a strong correlation with the total plaque burden therefore provides information about the severity of the coronary atherosclerosis. CACS is a strong predictor of cardiac events and it refines cardiovascular risk assessment beyond conventional risk factors. Our aim was to evaluate the association between VAI and CACS in an asymptomatic Caucasian population.

METHODS AND RESULTS

Computed tomography scans of 460 participants were analyzed in a cross-sectional, voluntary screening program. A health questionnaire, physical examination and laboratory tests were also performed. Participants with a history of cardiovascular disease were excluded from the analysis. Mean VAI was 1.41 ± 0.07 in men and 2.00 ± 0.15 in women. VAI showed a positive correlation with total coronary calcium score (r = 0.242) in males but not in females. VAI was stratified into tertiles by gender. In males, third VAI tertile was independently associated with CACS>100 (OR: 3.21, p = 0.02) but not with CACS>0 after the effects of conventional risk factors were eliminated.

CONCLUSION

VAI tertiles were associated with calcium scores and the highest VAI tertile was an independent predictor for the presence of CACS>100 in males but not in females.

Associations Between Homeostasis Model Assessment (HOMA) and Routinely Examined Parameters in Individuals With Metabolic Syndrome

The aim of the study was to investigate whether routine clinical parameters, including visceral adiposity index (VAI) and atherogenic index of plasma (AIP), could become widely applicable predictors of insulin resistance (IR), evaluated using homeostasis model assessment (HOMA-IR, HOMA-β), with regard to presence of metabolic syndrome (MS). The study comprised 188 individuals identified to meet the MS criteria during regular health examinations and an equal number of age, sex-matched controls without MS. The strongest correlations were noted between HOMA-IR and waist circumference (WC) in the MS group (r=0.57) as well as between HOMA-IR and alanine aminotransferase (ALT, r=0.57) or aspartate aminotransferase (r=0.56) in the controls, with a statistical significance of p<0.001. In a multivariate linear regression model, the predictors of HOMA-IR were WC (linear coefficient β=0.1, p<0.001), ALT (β=2.28, p<0.001) and systolic blood pressure (β=0.04, p<0.001). HOMA-β was determined by WC (β=1.97, p=0.032) and ALT (β=99.49, p=0.004) and inversely associated with age (β=-1.31, p=0.004). Neither VAI nor AIP were significant predictors. The presence of MS was significantly associated with both HOMA-IR and HOMA-β. These results indicate that WC and ALT appear to be reliable predictors of IR. Comprehensive assessment of these parameters may serve for estimating the level of IR.

Number of parity is associated with low-grade albuminuria in middle-aged and elderly Chinese women

Background

Women with a higher number of pregnancies have a higher risk of developing cardiovascular diseases. Subtle fluctuations in albumin excretion could be related to pathophysiologic changes in the vascular system. We aimed to investigate the possible association of parity with low-grade albuminuria.

Methods

We conducted a community-based study in 6495 women aged 40 years or older. Low-grade albuminuria was defined according to the highest quartile of urine albumin-to-creatinine ratio in participants free of micro- or macro-albuminuria.

Results

Parous women with a higher number of pregnancies had increased age, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), fasting plasma glucose (FPG), and fasting insulin, as well as decreased high-density lipoprotein cholesterol (HDL-C), estimated glomerular filtration rate (eGFR) levels, and proportion of menopause. The prevalence of low-grade albuminuria in parous women gradually increased with parity number. Compared with women with one childbirth, those with more than two childbirths were independently associated with a higher prevalent low-grade albuminuria (odds ratios [ORs] 1.41, 95% confidence interval [CI], 1.09–1.81) after multiple adjustments. In subgroup analysis after multiple adjustments, significant relation between parity number and prevalent low-grade albuminuria was detected in subjects age 55 years or older.

Conclusion

Number of parity is associated with prevalent low-grade albuminuria in middle-aged and elderly Chinese women without micro- or macro-albuminuria.

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.

Relationship between DXA measured metrics of adiposity and glucose homeostasis; An analysis of the NHANES data

Introduction

Obesity is associated with insulin resistance and type 2 diabetes. Dual-energy X-ray absorptiometry (DXA) is a means of determining body composition and body fat distribution at different sites including whole body and trunk–locations where there tends to be high correlation at an individual level.

Methods

We performed an analysis of DXA-derived metrics of adiposity (truncal fat %,subtotal fat % and total fat %) from the NHANES database and then correlated the findings with markers of insulin resistance. We analyzed the data from DXA scans in NHANES 1999–2004. Homeostatic model assessment-insulin resistance and HOMA-β (beta-cell function) were estimated. Spearman correlation coefficients were calculated (ρ) between HOMA-IR,HOMA-β and different measures of obesity (Waist circumference(in cm), Body Mass Index (kg/m2), truncal fat %, subtotal fat % as well as total fat %) to gauge the relationship between markers of glucose homeostasis and DXA derived metrics of obesity. We also performed logarithmic transformation of HOMA-IR as well as HOMA-β to ensure normality of distribution and to meet the criteria for regression analysis. A forward selection model (by outcome and gender) was performed to predict log transformed insulin resistance (log HOMA-IR) as well as log transformed HOMA-β (log HOMA-β,measure of beta cell function) from age, serum triglycerides, HDL, trunk fat % and the SBP (in both males and females separately), after reviewing the spearman correlation coefficients.

Results

There were a total of 6147 men and 6369 women who were part of the study cohort. There was a positive correlation between markers of adiposity and log HOMA-IR and log HOMA-β in both males and females.Truncal fat % had the highest nonparametric correlation coefficent with log HOMA-IR among the DXA derived fat% (0.54 in males and 048 in females). In the multivariate analysis, truncal fat % was an independent predictor of logHOMA-IR as well as logHOMA-β. In males, the significant predictors of log HOMA-IR were; age, truncal fat % and HDL cholesterol (Adjusted R square of 0.325 (±0.66), F(3,207) = 34.63, p < .01). In females, the significant predictors of log HOMA-IR were; age, truncal fat %, SBP, Serum triglyceride and HDL cholesterol (Adjusted R square of 0.307 (±0.65),F(5,198) = 18.9, p < .01). In both males and females, the significant predictors of log HOMA-β were; age, and truncal fat % (Males; adjusted R square of 0.25 (±0.63), F (2,208) = 36.4, p < .01, Females; adjusted R square of 0.27 (±0.62), F (2,201) = 38.4, p < .01).

Conclusions

Body fat % on DXA is an imaging biomarker for insulin resistance. Incorporating this important information into DXA acquisitions and reporting frameworks may allow for this information to be available to providers who refer patients for these imaging studies.

The Relationship Between Visceral Adiposity Index and Epicardial Adipose Tissue in Patients with Type 2 Diabetes Mellitus

Introduction and aim Cardiovascular diseases remain the most common cause of morbidity and mortality in patients with diabetes. Epicardial adipose tissue (EAT), visceral fat depot of the heart, was found to be associated with coronary artery disease in cardiac and non-cardiac patients. Increased visceral adiposity is associated with proinflammatory activity, impaired insulin sensitivity, increased risk of atherosclerosis and high mortality. In the present study we aimed to investigate the relationship between EAT and visceral adiposity index (VAI) in patients with diabetes.

Methods This was a cross-sectional study involving 128 patients with type 2 diabetes mellitus (73 females, 55 males; mean age, 54.09+±+9.17 years) and 32 control subjects (23 females, 9 males; mean age, 50.09+±+7.81 years). EAT was measured by using a trans-thoracic echocardiograph. Parameters such as waist circumference (WC), body mass index (BMI), triglyceride and high density lipoprotein (HDL) cholesterol were used to calculate VAI.

Result EAT and VAI measurements were significantly higher in patients with diabetes when compared to control subjects. In the bivariate correlation analysis, VAI was positively correlated with uric acid level (r=0.214, p=0.015), white blood cell count (r= 0.262, p=0.003), platelet count (r=0.223, p=0.011) and total cholesterol levels (r= 0.363, p<0.001). Also, VAI was found to be the independent predictor of EAT.

Conclusion Simple calculation of VAI was found to be associated with increased EAT in patients with type 2 diabetes.

Visceral Adiposity Index as an Independent Marker of Subclinical Atherosclerosis in Individuals Prone to Diabetes Mellitus

Aims: The visceral adiposity index (VAI) has been proposed as an estimate of visceral adipose tissue (VAT) mass and as an indicator of VAT dysfunction. Both parameters are associated with cardiometabolic risk, including insulin resistance. In this study, we investigated whether VAI is associated with subclinical atherosclerosis in subjects who were free of cardiovascular disease but were at risk of developing diabetes mellitus.

Methods: A total of 731 adults with a median age of 47 years old without diabetes mellitus were included in this cross-sectional study. The anthropometric data, blood pressure, and lipid profiles of 398 women and 333 men were measured. All subjects underwent an oral glucose tolerance test, and carotid intima–media thickness (cIMT) was evaluated by ultrasound. Insulin resistance was estimated using the homeostatic model assessment of insulin resistance (HOMA-IR).

Results: VAI and HOMA-IR (β_st = 0.44, p < 0.0001), VAI and cIMT (β_st = 0.17, p < 0.0001), and HOMA-IR and cIMT (β_st = 0.09, p = 0.0127) were correlated with each other. After adjusting for cofounding variables, VAI is still correlated with HOMA-IR (β_st = 0.42, p < 0.0001). Furthermore, VAI (β_st = 0.07, p = 0.0392) but not HOMA-IR (β_st = 0.03, p = 0.37) was correlated with cIMT independently of other established cardiovascular risk factors.

Conclusion: The calculation of VAI may provide a better estimation of subclinical atherosclerosis than the calculation of HOMA-IR.

Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study

BACKGROUND

Rational measures in estimating adiposity distribution in diabetic patients has yet to be validated. This study aims to provide insight about the possible links between routinely available body adiposity parameters and the development of both diabetes and insulin resistance.

METHODS

We performed a population-based cross-sectional study in 9496 subjects aged 40 years or older. All of the body adiposity measures including body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), visceral adiposity index (VAI), body adiposity index (BAI) and lipid accumulation product index (LAP) were separately evaluated according to standard measurement methods. Diabetes was diagnosed according to the American Diabetes Association 2010 criteria.

RESULTS

All tested body adiposity measurements were significantly associated with fasting plasma glucose (FPG), oral glucose tolerance test (OGTT) 2 h glucose, HbA1c and fasting insulin. Compared with other adiposity phenotypes, LAP have shown the relatively strongest while BAI have shown the relatively weakest association with increased odds of both diabetes and insulin resistance across all logistic regression models. Additionally, LAP provided the best discrimination accuracy for diabetes [area under the curve (AUC): 0.658 95% confidence intervals (CI) 0.645-0.671] and insulin resistance (AUC: 0.781 95% CI 0.771-0.792) when compared with other body adiposity parameters.

CONCLUSIONS

The LAP index seems to be a better indicator than other adiposity measures tested in the study to evaluate the association of visceral fat mass with diabetes and insulin resistance, which should be given more consideration in the clinical practice.

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.

Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals

BACKGROUND

Waist circumference (WC) is the currently recommended marker of central fat for cardiometabolic risk screening. Alternative surrogate markers have been recently proposed to better reflect the metabolic impact of central fat accumulation per se, based on WC normalization by height (Weight-to-Height Ratio - WtoH; Body Roundness Index - BRI) or body mass index (BMI) without (A Body Shape Index - ABSI) or with inclusion of plasma triglyceride and HDL-cholesterol concentrations (Visceral Adiposity Index - VAI).

METHODS

We investigated associations between WtoH, BRI, ABSI or VAI and insulin resistance (HOMA-index) or metabolic syndrome (MetS) in a general population cohort from the North-East Italy Mo.Ma. study (n = 1965, age = 49 ± 13 years, BMI = 26.7 ± 5.2 kg/m²). Baseline values were also evaluated as predictors of future insulin resistance and MetS in overweight-obese individuals undergoing 5-year follow-up (Ow-Ob) (n = 263; age = 54 ± 9, BMI = 30,7 ± 4,1).

RESULTS

Compared to WC or BMI, basal WtoH and BRI were similarly associated with baseline HOMA and MetS prevalence after multiple adjustments (P < 0.001) and all markers similarly predicted 5-year HOMA and MetS (P < 0.001). Under basal conditions, superimposable results were observed for VAI whereas ABSI was less accurate or unable to identify baseline HOMA and MetS (p < 0.05 vs WtoH-BRI-VAI-WC-BMI). VAI had highest 5-year risk predictive value in Ow-Ob [ROC Area Under the Curve (AUC) VAI > WtoH-BRI-WC-BMI; p < 0.05] while no predictive value was in contrast observed for ABSI (ROC AUC ABSI < WtoH-BRI-WC-BMI; p < 0.05). Using alternate formulae with plasma lipid inclusion in ABSI and removal from VAI calculations completely reversed their 5-year predictive value and AUC.

CONCLUSIONS

The current findings do not support replacement of WC with height-normalized anthropometric central fat surrogate markers to predict cardiometabolic risk in the general and overweight-obese population. BMI-normalization impairs risk assessment unless plasma lipid concentrations are available and included in calculations.

[Association of waist-to-hip ratio with insulin resistance in non-diabetic normal-weight individuals: a cross-sectional study]

OBJECTIVE

To explore the relationship between waist-to-hip ratio (WHR) and insulin resistance(IR) in non-diabetic normal-weight individuals and investigate how this association differs between male and femalesubjects.

METHODS

From June to October, 2012, we performed a cross-sectional survey among 2142 community-based non-diabetic Chinese participants, who were divided into 4 groups according to the gender-specific quartiles of WHR. Homeostatic model assessment of insulin resistance (HOMA-IR), calculated as the product of fasting plasma glucose (mmol/L) and fasting insulin (mU/L) divided by 22.5, was used as the indicator of insulin resistance. Logistic regression models were used to explore the association of WHR with IR in these subjects.

RESULTS

In the unadjusted model, WHR was significantly associated with IR in women (OR=6.60, 95%CI: 2.86-15.26, P<0.001); the association was still significant (OR=3.28, 95%CI: 1.34-8.04, P=0.009) after adjustment for the potential confounders including the history of hypertension, coronary heartdisease, current smoker, physical inactivity, and body mass index.

CONCLUSION

WHR is independently associated with IR in non-diabetic Chinese women with normal body weight.