Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?

Štěpánek, Ladislav; Horáková, D; Cibičková, Ľubica; Vaverková, H; Karásek, David; Nakládalová, Marie; Zapletalová, Jana

doi:10.3390/medicina55090545

Cited by 19 publications

(8 citation statements)

References 24 publications

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“…Decreases in serum HDL and increases in triglycerides were reported to be linked with inflammatory status and mediators (38). Likewise, VAI was reported to be strongly correlated with insulin resistance estimated by HOMA-IR and metabolic syndrome (39,40). Furthermore, among the most commonly used adiposity assessment indices, VAI has the strongest correlation with the most well-known adipocytokines in diabetic patients (41) and non-diabetic (42).…”

Section: Discussionmentioning

confidence: 99%

Testosterone deficiency in non-obese type 2 diabetic male patients

Gouda

Aboelnaga

Elbeltagy

et al. 2022

Arch Ital Urol Androl

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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.

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Section: Discussionmentioning

confidence: 99%

Testosterone deficiency in non-obese type 2 diabetic male patients

Gouda

Aboelnaga

Elbeltagy

et al. 2022

Arch Ital Urol Androl

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“…Excessive visceral adipose tissue (VAT) accumulation has been proved to be an essential trigger of metabolic diseases and is strongly associated with an elevated risk of CVD (Liu et al, 2016;Štěpánek et al, 2019). Postmenopausal women with visceral obesity should be screened due to their heightened risk.…”

Section: Discussionmentioning

confidence: 99%

Visceral adiposity index as a predictor of insulin resistance in women with and without metabolic syndrome

Koperska¹,

Wesołek²,

Szulińska³

2023

Acta Sci Pol Technol Aliment

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Background. Visceral adiposity index (VAI) is a mathematical formula based on routine anthropometric and biochemical parameters: body mass index (BMI), waist circumference (WC), triglycerides (TG), c-reactive protein (CRP) and high-density lipoprotein cholesterol (HDL). It reflects visceral adipocyte dysfunction. Its increase is strongly associated with obesity-related risk. VAI as a predictive marker of insulin resistance (IR) is proposed to be a valuable tool for identifying individuals at higher cardiometabolic risk. This study aimed to assess the applicability of VAI as an indirect IR marker and investigate the association of VAI and metabolic syndrome (MetS) components. Material and methods. The study comprised 157 individuals without MetS and 201 with MetS. All participants were female and >55 years old. The following laboratory analyses were performed: glucose, aspartate aminotransferase (AST), alanine transaminase (ALT), CRP, HDL, TG, and uric acid. Anthropometric parameters (height, weight, WC) and blood pressure (BP) were measured. The data obtained were used to calculate each participant's BMI and VAI. Based on the results, all subjects were divided into groups: Group A -without MetS, Group B -with MetS. Group B (with MetS) was additionally divided into groups C (without diabetes) and D (with diabetes). Results. Statistically significant differences in VAI, fasting glucose, CRP, HDL, and TG were demonstrated between the non-MetS and MetS groups. In group A, there were statistically significant and positive correlations between VAI and WC, serum uric acid and TG, while there was a negative correlation between VAI and HDL. In Group B, as well as in Group C, there were statistically significant and positive correlations between VAI and BMI, WC, serum uric acid and TG, while there was a negative correlation between VAI and HDL. In group D, there were statistically significant and positive correlations between VAI and serum uric acid, TC and TG, while there was a negative correlation between VAI and HDL. Conclusion. VAI seems to be a promising and easy-to-use primary care marker that effectively identifies individuals at high risk of cardiometabolic complications, especially with IR, unfavorable lipid profiles, and MetS accompanied by diabetes. The simplicity of VAI determination makes it a candidate for the detection of patients at risk of metabolic disorders and cardiovascular (CV) complications. Further long-term prospective studies are needed to verify the applicability of VAI in other conditions.

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“…The VAI cut-off point was 4.24 in predicting insulin resistance. In a study by Stepanek et al on 783 participants, they found the VAI cut-off point to be 2.37 in predicting MetS and insulin resistance (Those with HOMA: 3.8 and above were considered to have insulin resistance) [20]. In a study conducted on overweight and obese patients, the VAI cut-off points for predicting insulin resistance were found to be 2.3 [9].…”

Section: Discussionmentioning

confidence: 99%

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

TÜRK

PEKGÖR

Eryılmaz

2022

Family Practice and Palliative Care

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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.

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Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?

Cited by 19 publications

References 24 publications

Testosterone deficiency in non-obese type 2 diabetic male patients

Testosterone deficiency in non-obese type 2 diabetic male patients

Visceral adiposity index as a predictor of insulin resistance in women with and without metabolic syndrome

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

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