Visceral Adiposity Index Research Articles

Association between cardiometabolic index and testosterone levels in adult men: NHANES 2011-2016.

Exploring the relationship between the cardiometabolic index (CMI) and serum testosterone levels as well as testosterone deficiency in American adult males. Additionally, comparing the diagnostic value of the CMI with several common obesity and metabolism indices for identifying testosterone deficiency. This cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016. Serum testosterone levels and testosterone deficiency were used as dependent variables, with the cardiometabolic index as the independent variable. Multivariable regression was used to assess the relationship between the independent and dependent variables, while subgroup analyses were performed to ensure the stability of the results. Smooth curve fitting was utilized to evaluate the nonlinear relationship between the CMI and testosterone levels. Receiver operating characteristic curves (ROC) were plotted for several obesity and metabolism prediction indices and the area under the curve was calculated to compare the specificity and sensitivity of each diagnostic index in the diagnosis of testosterone deficiency. Among 3541 adult male participants, CMI is negatively associated with serum testosterone levels and positively associated with testosterone deficiency. In the fully adjusted model, for every unit increase in CMI, serum testosterone decreased by 14.89 ng/dl. Comparing the highest quartile to the lowest quartile of CMI, each unit increase in CMI, serum testosterone decreased by 98.58 ng/dl. Furthermore, each unit increase in CMI was associated with a 16% increase in incidence of testosterone deficiency. By plotting the ROC curves, we found that the AUCs for Lipid Accumulation Product (LAP), Body Mass Index (BMI), Weight Adjusted Waist Index (WWI), CMI, Visceral Adiposity Index (VAI) and Triglyceride glucose index (TyG) were 0.73, 0.72, 0.71, 0.69, 0.66, and 0.66 respectively. Elevated levels of CMI are associated with lower testosterone levels and an increased risk of testosterone deficiency. The predictive value of the LAP was superior to that of CMI, while the predictive value of CMI was higher than VAI and TyG.

Significance of measuring anthropometric and atherogenic indices in patients with polycystic ovary syndrome

BackgroundPolycystic ovary syndrome (PCOS) is a prevalent hormonal disorder affecting 5–15% of women of reproductive age, characterized by ovulatory dysfunction, hyperandrogenism, and polycystic ovarian morphology. PCOS is associated with metabolic disturbances such as dyslipidemia, insulin resistance (IR), and an increased risk of type 2 diabetes (T2DM) and cardiovascular disease.ObjectiveThe aim of this study is to apply new anthropometric indices [body adiposity index (BAI), visceral adiposity Index (VAI), lipid accumulation product (LAP), body roundness index (BRI), a body shape index (ABSI)] and new atherogenic indices [Castelli index-I, Castelli index-II, atherogenic risk of plasma (AIP), atherogenic coefficient (AC), lipoprotein combined index (LCI), triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio, metabolic score for insulin resistance (METS-IR), triglyceride glucose (TyG) index, triglyceride glucose-dody mass (TyG-BMI) index, triglyceride glucose-waist circumference (TyG-WC) index] metabolic score of insulin resistance to patients with PCOS.MethodsA retrospective analysis was conducted on 248 women diagnosed with PCOS based on the 2003 Rotterdam criteria. Anthropometric measurements, biochemical parameters, and atherogenic indices were collected from patient records. Statistical analyses were performed using Statistical Package for the Social Sciences software version 28.0.ResultsSignificant correlations were found between fasting glucose and various anthropometric indices, such as Body mass index (BMI), waist-height ratio (WHtR), and BAI, indicating a link between adiposity and glucose metabolism in PCOS. Atherogenic indices like Castelli’s risk indices, AIP, and AC showed positive correlations with glucose and insulin levels, reinforcing their role in assessing cardiovascular risk. Novel indices such as METS-IR and TyG demonstrated strong correlations with both glucose and insulin profiles, highlighting their potential as reliable markers for IR and cardiometabolic risk.ConclusionThe study underscores the importance of using a range of anthropometric and atherogenic indices for comprehensive metabolic assessment in women with PCOS. Indices like METS-IR and TyG offer valuable insights into insulin sensitivity and cardiovascular risk, potentially aiding in better management and prognosis of PCOS.

Association between physical activity and visceral adiposity index (VAI) in U.S. population with overweight or obesity: a cross-sectional study

BackgroundPrevious studies have revealed the effects of different physical activity (PA) types on visceral adipose tissue (VAT) accumulation in individuals with overweight/obesity. However, the independent association (especially the dose–response relationship) between PA and VAT in individuals with and without overweight/obesity remains less explored. Visceral adiposity index (VAI), calculated from waist circumference, body mass index (BMI), triglyceride and high-density lipoprotein cholesterol, is a novel indicator of VAT. This study aims to elucidate the association between PA and VAI in participants with and without overweight/obesity.MethodsParticipants who are overweight or obese and with complete data on VAI, PA, and other essential covariates from the National Health and Nutrition Examination Survey (NHANES) database (2015–2018) were included in this study. PA was evaluated by the PA questionnaire and converted into metabolic equivalent task (MET) hours per week (MET-h/wk) based on the suggested MET scores. Multivariate linear regression models were used to identify the association between PA and VAI. Subgroup analyses, combined with interaction tests and restricted cubic spline (RCS) regression analyses, were utilized to explore the stability and nonlinearity of PA-VAI association, respectively.ResultsA total of 4, 312 participants with complete data on PA and VAI was included in this study, with 3, 441 of them being overweight or obese. After adjusting for all potential covariates, increased PA was found to be significantly associated with remarkable lower level of VAI in all participants (β = -0.0004, P = 0.003), participants with (β = -0.0013, P = 0.012) and without (β = -0.0004, P = 0.003) overweight/obesity. Subgroup analyses and interaction tests revealed that the PA-VAI association was not modified by other covariates in individuals with overweight/obesity. Furthermore, RCS analyses revealed that PA was significantly, linearly and negatively associated with VAI in all participants, participants with and without overweight/obesity (all P < 0.05, all P for nonlinearity > 0.05). Noteworthily, as opposed to individuals without overweight/obesity, PA was significantly associated with lower VAI in participants with overweight/obesity after exceeding the threshold of 150 MET-h/wk.ConclusionIncreased PA was significantly associated with lower level of VAI, but a higher level of PA (> 150 MET-h/wk) was needed to obtain significantly lower level of VAI in individuals with overweight/obesity.

Telomere length in young and middle-aged patients: relationship with cardiovascular risk factors

Aim. To evaluate the relationship between leukocyte telomere length (LTL) and cardiovascular risk factors in young and middle-aged patients without cardiovascular disease (CVD).Material and methods. This cross-sectional study involved 450 patients aged 30 [21;42] years. Risk factors and possible exclusion criteria was assessed through questionnaires and anthropometric examination. In all subjects, glucose concentration and lipid profile were assessed using the CardioChekPA express analyzer (USA, 2017), followed by calculation of integral metabolic indices: visceral adiposity index (VAI), body fat percentage, body adiposity index (BAI), lipid accumulation product (LAP). LTL was measured in whole blood samples using fluorimetry (Qubit 4 Singapore 2020) and reverse transcription polymerase chain reaction (QIAamp Blood Mini Kit, German 2022). Statistical analysis was carried out using the Statistica 10 program.Results. The prevalence of the studied risk factors in the main group corresponded to the general population. According to the correlation analysis, LTL was associated with age (r=-0,26; p&lt;0,05), smoking (r=-0,35; p&lt;0,05), obesity (r=-0,19; p&gt;0,05), neck circumference (NC) (r=-0,53; p&lt;0,05), diastolic blood pressure (r=-0,31; p&lt;0,05), cholesterol (r=-0,64; p&lt;0,05), high-density lipoproteins (HDL) (r=0,59; p&lt;0,05) and low-density lipoproteins (r=-0,52; p&lt;0,05), triglycerides (r=-0,46; p&lt;0,05), glucose (r=-0,33; p&lt;0,05), LAP (r=-0,4; p&lt;0,05), VAI (r=-0,57; p&lt;0,05) and BAI (r=-0,32; p&lt;0,05). According to the multivariate regression analysis, LTL was associated with age (B=-0,04, Std. Err. of B=0,02, p=0,03), smoking (B=-0,87, Std. Err. of B=0,26, p=0,001), NC (B=-0,23, Std. Err. of B=0,07, p=0,001), total cholesterol levels (B=-0,37, Std. Err. of B=0,87, p&lt;0,001), HDL (B=0,59, Std. Err. of B=0,24, p=0,018), LAP (B=-0,01, Std. Err. of B=0,02, p&lt;0,011), VAI (B=-0,37, Std. Err. of B=0,16, p=0,025).Conclusion. LTL is interconnected with cardiovascular risk factors, which determines the significance of their participation in CVD development and biological aging in young and middle-aged people.

J-shaped relationship between Chinese visceral adiposity index and hyperuricemia: a cross-sectional study

BackgroundRecent years have seen the emergence of numerous novel indicators for visceral obesity. This study investigates the potential correlation between the Chinese visceral adiposity index (CVAI) and hyperuricemia (HUA).MethodsThis research, derived from a 2011 cross-sectional analysis in Dalian, China, employed restricted cubic spline (RCS) plots to identify inflection points. Subsequently, one-way and multifactorial logistic regression models were utilized, with HUA as the outcome variable. Additionally, subgroup analyses and interaction tests were conducted. Eventually, receiver operating characteristic (ROC) curves were calculated to assess the effectiveness of CVAI and other body composition indices in predicting HUA.ResultsThe study included 10,061 individuals, with a HUA prevalence of 14.25%. Significant relationships with HUA were observed for CVAI. RCS analysis revealed a J-shaped relationship between CVAI and HUA. Compared to those in the low CVAI category, HUA was notably associated with individuals in the high CVAI category in multifactorial logistic regression (OR = 2.661, 95% CI: 2.323, 3.047). Subgroup analyses demonstrated stronger relationships in women, participants without hypertension, and participants without diabetes. Additional modeling via ROC curves suggested that the CVAI may offer effective predictive value for HUA.ConclusionThis study confirmed that an elevated CVAI elevates the risk of HUA in middle-aged and elderly populations in the Dalian community. The findings advance obesity prevention strategies that mitigate HUA risk and support healthcare initiatives for China's aging population.

The visceral adiposity index is associated with asthma, especially current asthma: A cross-sectional study of NHANES, 2003 to 2018.

To investigate the association between the visceral adiposity index (VAI) and asthma using data from National Health and Nutrition Examination Survey 2003 to 2018 by a cross-sectional study. We explored the potential relationship between the VAI and asthma incidence via a cross-sectional study of the National Health and Nutrition Examination Survey from 2003 to 2018. Multiple logistic regression analysis, restricted cubic spline analysis and subgroup analysis were performed. Among the 80,312 participants, 1984 had been told by a doctor or other health professional, and 1142 still had asthma. With all confounders controlled, the VAI was positively associated with asthma incidence (odds ratios 1.04, 95% confidence interval: 1.01, 1.08). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios (95% confidence intervals) for asthma risk were 1.02 (0.86, 1.21), 1.14 (0.96, 1.36), and 1.18 (1, 1.39), respectively (P for trend = .02). Subgroup analysis revealed no significant interaction effect among the subgroups (P > .05). The positive association was stronger in current asthma patients (odds ratios 1.13, 95% confidence interval: 1.03, 1.24). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios for current asthma risk were 1.15 (0.81, 1.64), 1.29 (0.91, 1.84), and 1.51 (1.01, 2.24), respectively (P for trend .04). The restricted cubic spline regression analysis did not reveal a nonlinear correlation between the VAI and asthma or current asthma. Subgroup analysis revealed a significant interaction effect between age (P for interaction = .03) and diabetes status (P for interaction = .02). Except in the age ≥60 years, Less than high school, normal body mass index subgroup, VAI, and current asthma were positively correlated. A positive relationship between the VAI and asthma incidence was observed. In particular, there was a strong positive correlation between the VAI score and current asthma. According to the subgroup analysis, more attention should be given to individuals aged 40 to 59 years who have diabetes.

Deciphering the associations of selenium distribution in serum GPx-3 and selenoprotein P with cardiovascular risk factors in a healthy population with moderate levels of selenium: The ATTICA study

BackgroundSelenium (Se) is an essential micronutrient, important for human health. The relationship of Se with cardiovascular risk factors is still inconclusive, especially regarding the role of different selenoproteins. The present study evaluated the relation of total serum Se as well as its distribution in plasma selenoproteins, namely glutathione peroxidase 3 (GPx3) and selenoprotein P (SelP) with cardiovascular risk factors in a sex-specific manner, in a healthy population with moderate levels of Se. Methods: A sub-sample from the ATTICA Study’s database, consisting of 398 participants (160 females and 238 males) with data on Se and selenoproteins levels, was considered. GPx3, SelP and the main non-specific serum selenium containing protein, selenoalbumin (SeAlb) were simultaneously determined in human plasma by high-performance liquid chromatography (HPLC) coupled with inductively coupled plasma mass spectrometry (ICP-MS) at baseline. Results: Participants that belong to the highest tertiles of GPx3 and SelP presented the lowest blood pressure. Homocysteine was inversely associated with SelP and its ratio SelP/TSe in both sexes. In males, the lowest tertile of GPx3 showed lower adiponectin levels (0.66 ± 0.21 μg/mL) in comparison to the 2nd tertile of GPx3 (p=0.002), SelP was inversely associated with visceral adipose index (VAI) (-2.29 ± 0.81, p=0.005). Particularly, in males, the middle tertile of SelP had the lowest VAI values. Regarding females, lower Lp(a) concentration by 11.96 ± 5.84 mg/dL was observed in low SelP levels while higher leptin concentration by 2.30 ± 0.73 μg/L and lower fibrinogen concentration by 27.32 ± 13.30 mg/dL was detected in low GPx3 levels. Conclusion: Circulating selenoproteins exert differentiated effects on cardiovascular risk factors, some of them in a sex-specific manner.

Chinese visceral adipose index is more closely associated with risk of arterial stiffness than traditional obesity indicators: a cohort study

BackgroundThe Chinese visceral adiposity index (CVAI) is a new index to evaluate visceral adipose tissue in the Chinese population. Arterial stiffness (AS) is a kind of degeneration of the large arteries, and obesity is an essential contributing factor to AS. Our study aimed to explore the longitudinal association between CVAI and the risk of AS and to compare the predictive power of CVAI, body mass index (BMI), and waist circumference (WC) for AS.MethodsBetween 2010 and 2020, a total of 14,877 participants participating in at least two brachial-ankle pulse wave velocity (baPWV) measurements from the Kailuan study were included. The Cox proportional hazard regression models were performed to evaluate the longitudinal association between CVAI and the risk of AS. The area under the receiver operating characteristic (ROC) curve was calculated to compare the predictive power of CVAI, BMI, and WC for AS.ResultsAfter adjusting for potential confounding factors, CVAI was significantly associated with the risk of AS. Compared with the first CVAI quartile, the hazard ratios (HR) and 95% CI of the second, third, and fourth quartiles were 1.30 (1.09–1.56), 1.37 (1.15–1.63), and 1.49 (1.24–1.78), respectively. The area under ROC curve of CVAI was 0.661, significantly higher than BMI (AUC: 0.582) and WC (AUC: 0.606).ConclusionCVAI may be a reliable indicator to identify high-risk groups of AS in the Chinese general population, and the predictive power of CVAI for AS was better than BMI and WC.

The association between visceral adipose accumulation and hyperuricemia risk among Chinese elder individuals: A nationwide prospective cohort study

BackgroundLipid accumulation product (LAP), visceral adiposity index (VAI) and Chinese visceral adiposity index (CVAI) are proposed indices of visceral adipose accumulation. This study aimed to explore their relationship and temporal changes with hyperuricemia (HUA) development in a Chinese population. MethodsA total of 4268 participants aged ≥45 years from the baseline survey of the China Health and Retirement Longitudinal Study were followed up for 4 years (from 2011 to 2015). The relationships among VAI, LAP, CVAI and HUA were analyzed using logistic regression. The predictive abilities of the VAI, LAP and CVAI for HUA were compared using receiver operating characteristic curves. Nonlinear relationships between the indices and HUA were analyzed using restricted cubic spline regression. ResultsDuring the four-year follow-up, 415 (9.72 %) patients experienced incident HUA . Elevated baseline VAI (odds ratio (OR): 1.19 (95 % confidence interval (95 %CI: 1.10, 1.29)), LAP (OR: 1.21 (95 % CI: 1.09, 1.34)) and CVAI (OR: 1.19 (95 % CI: 1.02, 1.40)) were significantly correlated with increased HUA risk (all P < 0.05). Compared to individuals with consistently low VAI,CVAIor LAP levels, those with elevated or consistently high levels of these indicators are more likely to have HUA. The area under curve (AUC) was slightly greater and more significant for the CVAI (AUC=0.641) than for the VAI (AUC=0.604) and LAP (AUC=0.628) (P < 0.05). ConclusionVAI, LAP and CVAI can predict HUA, with CVAI more efficient than VAI and LAP. Early management can lessen the burden of HUA in Chinese people aged 45 years or older with elevated CVAI levels.

Association between visceral adiposity index and incidence of diabetic kidney disease in adults with diabetes in the United States

Visceral adiposity index (VAI) is a reliable indicator of visceral adiposity. However, no stu-dies have evaluated the association between VAI and DKD in US adults with diabetes. Theref-ore, this study aimed to explore the relationship between them and whether VAI is a good pr-edictor of DKD in US adults with diabetes. Our cross-sectional study included 2508 participan-ts with diabetes who were eligible for the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Univariate and multivariate logistic regression were used to an-alyze the association between VAI level and DKD. Three models were used to control for pot-ential confounding factors, and subgroup analysis was performed for further verification. A tot-al of 2508 diabetic patients were enrolled, of whom 945 (37.68%) were diagnosed with DKD. Overall, the VAI was 3.36 ± 0.18 in the DKD group and 2.76 ± 0.11 in the control group. VAI was positively correlated with DKD (OR = 1.050, 95% CI 1.049, 1.050) after fully adjusting for co-nfounding factors. Compared with participants in the lowest tertile of VAI, participants in the highest tertile of VAI had a significantly increased risk of DKD by 35.9% (OR = 1.359, 95% CI 1.355, 1.362). Through subgroup analysis, we found that VAI was positively correlated with the occurrence of DKD in all age subgroups, male(OR = 1.043, 95% CI 1.010, 1.080), participants wit-hout cardiovascular disease(OR = 1.038, 95% CI 1.011, 1.069), hypertension (OR = 1.054, 95% CI 1.021, 1.090), unmarried participants (OR = 1.153, 95% CI 1.036, 1.294), PIR < 1.30(OR = 1.049, 95% CI 1.010, 1.094), PIR ≧ 3 (OR = 1.085, 95% CI 1.021, 1.160), BMI ≧ 30 kg/m2 (OR = 1.050, 95% CI 1.016, 1.091), former smokers (OR = 1.060, 95% CI 1.011, 1.117), never exercised (OR = 1.033, 95% CI 1.004, 1.067), non-Hispanic white population (OR = 1.055, 95% CI 1.010, 1.106) and non-Hipanic black population (OR = 1.129, 95% CI 1.033, 1.258). Our results suggest that elevated VAI levels are closely associated with the development of DKD in diabetic patients. VAI may be a simpl-e and cost-effective index to predict the occurrence of DKD. This needs to be verified in furt-her prospective investigations.

КАРДИОМЕТАБОЛИЧЕСКИЙ ПРОФИЛЬ С УЧЕТОМ СТАДИРОВАНИЯ ПО CMDS У ЛИЦ МОЛОДОГО ВОЗРАСТА

Abstract. Introduction. The burden of cardiovascular disease, diabetes mellitus, and the associated mortality remains high. One classification system that predicts the development of cardiovascular events and type 2 diabetes mellitus is Cardiometabolic Disease Staging (CMDS). The study of new cardiometabolic profile parameters is relevant in the context of their association with residual cardiovascular risk. The aim of the study was to evaluate the cardiometabolic profile, including extended parameters, in young adults, while taking into account the CMDS. Materials and Methods. 185 male and female subjects aged 35.0 [30.0–39.0] years were examined. The participants were divided into groups according to the CMDS classification: Stage 0, metabolically healthy; Stage 1 (low risk), one or two risk factors (RFs) other than prediabetes; Stage 2 (intermediate risk), presence of ≥3 risk factors or prediabetes; Stage 3 (high risk), presence of ≥3 risk factors and prediabetes. The study examined visceral adiposity index, visceral fat level, insulin resistance, leptinemia, hyperuricemia, glomerular filtration rate, C–reactive protein, and N–terminal brain natriuretic peptide concentrations. The data were processed in SPSS Statistics 26. Results and Discussion. The cardiometabolic profile demonstrated unfavorable alterations with the progression of CMDS stages. Across the spectrum from CMDS 0 to CMDS 3, we observed a significant rise in the prevalence of abdominal obesity (0% to 100%, p&lt;0,001), body mass index ≥25 kg/m2 (16.2% to 100%, p&lt;0.001), and excess visceral fat level (0% to 23.8%, p&lt;0.001). Simultaneously, the prevalence of hypercholesterolemia demonstrated a significant rise (24.3% to 52.4%, p=0.025), as did elevated low–density lipoprotein cholesterol (32.4% to 76.1%, p=0.014), insulin resistance (2.7% to 66.7%, p&lt;0.001), leptinemia (45.9% to 90.5%, p=0.009), C–reactive protein (2.7% to 57.1%, p&lt;0.001) and hyperuricemia (16.2% to 61.9%, p&lt;0.001). The median values of these parameters also increased. Conclusions. Our data confirm the simultaneous increase in both the quantity and intensity of risk factors, manifestations of adiposopathy associated with increasing residual cardiovascular risk. Our results substantiate the feasibility of using the CMDS classification at the stage of primary prevention of cardiometabolic diseases to identify groups with the most significant metabolism disorders of lipid, carbohydrate and purine metabolism in young adults.

Association Between Osteoporosis and Adiposity Index Reveals Nonlinearity Among Postmenopausal Women and Linearity Among Men Aged over 50 Years

PurposePrevious research shows conflicting views on the relationship between obesity and osteoporosis, partly due to variations in obesity classification and the nonlinear nature of these relationships. This study investigated the association between adiposity indices and osteoporosis, diagnosed using dual-energy X-ray absorptiometry (DXA), employing nonlinear models and offering optimal thresholds to prevent further bone mineral density decline.MethodsIn 2019, a prospective study enrolled males over 50 years and postmenopausal women. Anthropometric measurements, blood biochemistry, and osteoporosis measured by DXA were collected. Associations between adiposity indices and osteoporosis were analyzed using a generalized additive model and segmented regression model.ResultsThe study included 872 women and 1321 men. Indices such as abdominal volume index (AVI), visceral adiposity index (VAI), waist circumference (WC), hip circumference, body mass index (BMI), waist-to-hip ratio, and waist-to-height ratio (WHtR) were inversely associated with osteoporosis. In women, the relationship between the risk of osteoporosis and the adiposity indices was U-shaped, with thresholds of WC = 94 cm, AVI = 17.67 cm2, BMI = 25.74 kg/m2, VAI = 4.29, and WHtR = 0.61, considering changes in bone mineral density. Conversely, men exhibited a linear patterns for the inverse association.ConclusionThe impact of obesity and adiposity on osteoporosis varies significantly between women and men. In postmenopausal women, the relationship is nonlinear (U-shaped), with both very low and very high adiposity linked to higher osteoporosis risk. In men over 50, the relationship is linear, with higher adiposity associated with lower osteoporosis risk. The study suggests that maintaining specific levels of adiposity could help prevent osteoporosis in postmenopausal women.

Effect of Replacing Sucrose in Beverages with Nonnutritive Sweetener Sucralose on Cardiometabolic Risk Factors Among Asian Indian Adults with Type2 Diabetes: A 12-Week Randomized Controlled Trial.

Country-specific evidence-based research is crucial for understanding the role of nonnutritive sweeteners (NNS) in managing type2 diabetes (T2D). The main aim of this study was to explore the effect of replacing sucrose with sucralose in coffee/tea in Asian Indians with type2 diabetes (T2D). This 12-week, parallel-arm randomized controlled trial included 210 participants with T2D, assigned to the intervention group, where sugar/sucrose in coffee or tea was substituted with sucralose, or the control group, where sugar/sucrose was continued. Lifestyle factors remained unchanged. The primary outcome was change in HbA1c. Secondary outcomes were changes in body weight (BW), body mass index (BMI), waist circumference (WC), lipid profiles, and inflammatory markers. At the end of 12weeks, no change was observed in HbA1c, fasting plasma glucose, lipid profile, and inflammatory markers between or within groups. There was a small but significant reduction in BW (- 0.5kg [95%CI - 1.0, - 0.1]; p = 0.02), BMI (- 0.2kg/m2 [- 0.4, 0.0]; p = 0.03), and WC (- 0.8cm [- 1.4, - 0.3]; p = 0.002) in the intervention group. Improvements were also observed in lipid accumulation product (p = 0.01), visceral adiposity index (p = 0.04), triglyceride/glucose index (p = 0.04), total energy intake (p = 0.04), and carbohydrate intake (p < 0.0001). In Asian Indians with T2D, replacing about 60kcal of added sucrose with sucralose in coffee/ tea had no benefit on glycemia but resulted in a small reduction in body weight, body mass index, and waist circumference. Clinical Trials Registry of India (CTRI/2021/04/032686).

The association between visceral adiposity index and risk of type 2 diabetes mellitus

Relationships between the visceral adiposity index (VAI) and type 2 diabetes mellitus (T2DM) have been underexplored. The purpose of this study is to explore association between VAI and T2DM in adults in the US. Based on the National Health and Nutrition Examination Survey 2007–2018, 11,214 participants aged 20 years or older were included in a cross-sectional study. Multifactorial logistic regression analysis and smoothed curve fitting analysis were performed to investigate links between VAI and the prevalence of T2DM, as well as the stability and incidence between subgroups. In a fully adjusted continuous model, the aggregate population risk of T2DM increased 0.43-fold with each 1-unit increase in VAI [odds ratio (OR) = 1.43; 95% confidence interval (CI) 1.35–1.50]. In the fully adjusted categorical model with VAI scores stratified by quartiles, results showed a higher T2DM advantage among participants in the second, third, and fourth quartiles (Q2: OR 1.35, 95% CI 1.06–1.71; Q3: OR 2.46, 95% CI 1.95–3.11; Q4: OR 4.42, 95% CI 3.55–05.50). Compared with Q1, the prevalence of T2DM in the total population increased 3.42-fold in Q4. The above results indicated that VAI was positively associated with the prevalence of T2DM, which was consistent and nonlinear with the smoothed curve-fitting analysis (P for non-linear = 0). Subgroup analyses after adjusting for covariates showed that keeping with the overall population results, it also was found that there was an interaction between sex and hypertension in the subgroups. VAI was positively associated with the prevalence of T2DM and was more prevalent in women, non-hypertensive than in men, hypertensive populations.

High Obesity Indices Are Associated with Gastroesophageal Reflux Disease, but Low Obesity Indices Are Associated with Peptic Ulcer Disease in a Large Taiwanese Population Study

Introduction: Gastroesophageal reflux disease (GERD) and peptic ulcer disease (PUD) are prevalent in Taiwan. Few studies have investigated the associations between obesity indices with GERD and PUD simultaneously. This study aimed to investigate the correlations among obesity indices with GERD and PUD in a large cohort of participants, around 120,000, in the Taiwan Biobank (TWB). Methods: A total of 121,583 participants (male: 43,698; female: 77,885; mean age 49.9 ± 11.0 years) were included to analyze the associations among obesity indices, including body mass index (BMI), waist-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), abdominal volume index (AVI), lipid accumulation product (LAP), visceral adiposity index (VAI), and triglyceride-glucose index (TyG index), with GERD and PUD. Self-reported GERD and PUD were obtained by questionnaires. Multivariate logistic regression analysis was employed to analyze the relationship between obesity indices with GERD and PUD. Results: The prevalence of GERD and PUD was 13.7% and 14.6%, respectively. After multivariable analysis, high WHR (odds ratio [OR] = 1.009, p < 0.001), WHtR (OR = 1.005, p = 0.003), BRI (OR = 1.022, p = 0.005), AVI (OR = 1.013, p < 0.001), LAP (OR = 1.001, p < 0.001), TyG index (OR = 1.068, p < 0.001), and VAI (OR = 1.013, p = 0.002) were significantly associated with GERD, except BMI (p = 0.384). On the other hand, low BMI (OR = 0.984; p < 0.001) and AVI (OR = 0.994; p = 0.036) were significantly associated with PUD. However, the values of WHR (p = 0.151), WHtR (p = 0.304), BRI (p = 0.452), LAP (p = 0.799), VAI (p = 0.347), and TyG index (p = 0.642) were not. Conclusion: This study found that high obesity indices are associated with GERD, but low obesity indices are associated with PUD in a large Taiwanese population study. Our findings may alert physicians to notice that different obesity index may be associated with different gastrointestinal disorder.

Adiponectin and visfatin as potential biomarkers of cardiovascular disease in postmenopausal women

Abstract Background Adiponectin and visfatin are involved in many changes associated with obesity and metabolic disorders so may be related to metabolic syndrome and cardiovascular disease. During the perimenopausal period, the risk of obesity and cardiometabolic diseases increases. Therefore, the aim of this study was to assess the relationship between cardiometabolic parameters and circulating levels of visfatin and adiponectin in perimenopausal women with regard to their obesity status. Material and methods This survey-based study was conducted among 168 perimenopausal women. It involved the use of questionnaires, anthropometric measurements, blood pressure measurements, and venous blood collection. Results Our study found that visceral adiposity index (VAI) and lipid accumulation product (LAP) were negatively correlated with adiponectin levels. Preliminary multivariate linear regression analysis revealed a positive correlation between circulating visfatin and IL-6 levels. Adiponectin was negatively correlated with HbA1C, fasting blood glucose, insulin, and triglycerides. Furthermore, circulating adiponectin was positively correlated with HDL, and negatively with HOMA-IR. Conclusions In the women studied, some adipokines may have played a significant role in the development of obesity, metabolic syndrome, and cardiometabolic diseases.

Association of Visceral Adiposity Index and Handgrip Strength with Cardiometabolic Multimorbidity among Middle-Aged and Older Adults: Findings from Charls 2011-2020.

The visceral adiposity index (VAI) and handgrip strength (HGS) are identified as important objectives for the prevention of illness. Nevertheless, there is limited understanding regarding the impact of the VAI and HGS on cardiometabolic multimorbidity (CMM). We aimed to ascertain the impact of the VAI and HGS on CMM among middle-aged and older people. Data spanning from 2011 to 2020 were derived from the China Health and Retirement Longitudinal Study (CHARLS). In total, 7909 individuals aged 45 years and older were included. Cox proportional hazard regression was utilized to examine the correlation among the VAI, HGS, and CMM. Throughout the 10-year follow-up, we determined that both the VAI (HR = 1.330; 95%CI = 1.179-1.500) and HGS (HR = 0.745, 95%CI = 0.645-0.861) exhibited significant associations with CMM risk. Individuals exposed to both a high VAI and low HGS were found to have higher hazards of CMM (HR = 1.377, 95%CI = 1.120-1.694) in contrast to participants exposed to one or none of these conditions. The older (HR = 1.414; 95%CI = 1.053-1.899) and male (HR = 1.586; 95%CI = 1.114-2.256) groups are more likely to experience CMM risk. Our findings suggest that both the VAI and HGS have significant effects on CMM risk. Appropriate interventions focused on vulnerable groups are recommended to prevent the incidence of CMM.

Impact of baseline body composition on prognostic outcomes in urological malignancies treated with immunotherapy: a pooled analysis of 10 retrospective studies

ObjectiveNumerous epidemiological investigations have explored the impact of body composition on the effectiveness of immune checkpoint inhibitors (ICIs) in urological malignancies (UM) patients, yielding conflicting findings. As a result, our study aims to elucidate the influence of baseline body composition on the long-term prognosis of UM patients treated with ICIs.MethodsWe employed a rigorous systematic search across various databases, including PubMed, Embase, the Cochrane Library, and Google Scholar, to identify studies meeting our inclusion criteria. Our primary endpoints of interest encompassed overall survival (OS) and progression-free survival (PFS).ResultsThis analysis included a total of 10 articles with a combined patient cohort of 707 individuals. Our findings revealed a noteworthy association between several body composition parameters and unfavorable OS outcomes, including low psoas muscle index (PMI; HR: 3.88, p < 0.001), low skeletal muscle index (SMI; HR: 1.63, p < 0.001), sarcopenia (HR: 1.88, p < 0.001), low visceral adipose index (VAI; HR: 1.38, p = 0.018) and low subcutaneous adipose index (SAI; HR: 1.37, p = 0.018). Furthermore, our analysis demonstrated that low PMI (HR: 2.05, p = 0.006), low SMI (HR: 1.89, p = 0.002), sarcopenia (HR: 1.80, p < 0.001), and low VAI (HR:1.59, p = 0.005) were significantly correlated with inferior PFS. Conversely, SAI did not manifest a pronounced association with PFS in UM patients treated with ICIs.ConclusionCollectively, our study findings underscore a substantial relationship between baseline body composition and reduced clinical efficacy in UM patients undergoing ICI therapy.

Prediction of visceral adipose tissue magnitude using a new model based on simple clinical measurements.

Waist circumference (WC) is a reliable obesity surrogate but may not distinguish between visceral and subcutaneous adipose tissue. Our aim was to develop a novel sex-specific model to estimate the magnitude of visceral adipose tissue measured by computed tomography (CT-VAT). The model was initially formulated through the integration of anthropometric measurements, laboratory data, and CT-VAT within a study group (n=185), utilizing the Multivariate Adaptive Regression Splines (MARS) methodology. Subsequently, its correlation with CT-VAT was examined in an external validation group (n=50). The accuracy of the new model in estimating increased CT-VAT (>130 cm2) was compared with WC, body mass index (BMI), waist-hip ratio (WHR), visceral adiposity index (VAI), a body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), and metabolic score for visceral fat (METS-VF) in the study group. Additionally, the new model's accuracy in identifying metabolic syndrome was evaluated in our Metabolic Healthiness Discovery Cohort (n=430). The new model comprised WC, gender, BMI, and hip circumference, providing the highest predictive accuracy in estimating increased CT-VAT in men (AUC of 0.96 ± 0.02), outperforming other indices. In women, the AUC was 0.94 ± 0.03, which was significantly higher than that of VAI, WHR, and ABSI but similar to WC, BMI, LAP, BRI, and METS-VF. It's demonstrated high ability for identifying metabolic syndrome with an AUC of 0.76 ± 0.03 (p<0.001). The new model is a valuable indicator of CT-VAT, especially in men, and it exhibits a strong predictive capability for identifying metabolic syndrome.

Association of body composition indicators with colorectal cancer: a hospital-based case-control study

PurposeColorectal cancer (CRC) is a common malignancy that affects adults worldwide, causing a high disease burden. Few studies have examined the relationship between body composition (BC) measures and the prevalence of CRC. Our purpose was to investigate the relationship between pertinent BC indicators and CRC.MethodsBioelectrical impedance analysis, laboratory test results, face-to-face questionnaire investigation, and nutritional risk assessment (Nutritional Risk Screening 2002 and Patient-Generated Subjective Global Assessment) were used in this case-control study. Bioelectrical impedance analysis in the case group was performed prior to antitumor therapy/surgery.ResultsFrom June 2018 to January 2019, a total of 303 cases and 286 controls were included. The results showed that low body fat percentage (BFP) and high visceral adiposity index (VAI) groups had a higher risk of developing CRC in comparison to the normal BFP and normal VAI groups. The risk of CRC decreased with the increase of BFP. The group with a normal BC had a lower risk of developing CRC compared to those with a greater VAI and a lower BFP, as indicated by the results of the pairwise and total combinations of VAI, fat-free mass index (FFMI), and BFP. Additionally, FFMI and VAI had positive correlations with prealbumin, serum albumin, and nutritional risk scores.ConclusionLow BFP and high VAI are associated with higher CRC risk. FFMI and VAI are positively correlated with prealbumin, serum albumin, and nutritional risk scores in CRC patients.