Visceral Adiposity Index Research Articles

Associations between Sensitivity to Thyroid Hormones and Visceral Adiposity in Euthyroid Adults

Abstract Objectives The study aimed to explore the association between thyroid hormone (TH) sensitivity and obesity assessed by body mass index (BMI) and visceral adiposity index (VAI) in euthyroid adults. Methods This cross-sectional study used the thyroid feedback quantile-based index (TFQI), thyroid stimulating hormone index (TSHI), and thyrotrophic T4 resistance index (TT4RI) to indicate central TH sensitivity, and VAI to assess visceral obesity. Participants were categorized according to tertiles. We used logistic and linear regressions to explore the association stratified by sex. Results The study enrolled 5411 men and 5749 women with normal thyroid function. Men with the highest tertile of TT4RI had 1 kg/m2 higher BMI compared with men with the lowest tertile of TT4RI (P=0.001) after adjustment for age, hypertension, hyperlipidemia, diabetes, hyperuricemia, and renal function. There was no significant difference in BMI across tertiles of TFQI and TSHI in men, and TFQI, TSHI, and TT4RI in women after adjustment for other risk factors. TH sensitivity indices were positively related to VAI after adjustment for confounders in women but not in men. There were 1.21 (95%CI:1.02-1.44, P=0.03), 1.43 (95%CI: 1.20-1.70, P<0.001), and 1.47 (95%CI: 1.23 - 1.75, P<0.001) times higher odds of having high VAI among women in the highest TFQI, TSHI, and TT4RI tertiles respectively, compared to women in the lowest tertile. Conclusions Reduced central TH sensitivity was associated with increased visceral adiposity in women but not men. Our findings supplemented the evidence of the importance of TH sensitivity to metabolic disorders, especially among women.

Effect of 3-year changes in adiposity measures on the pre-diabetes regression and progression: a community-based cohort study.

We assessed the impact of a 3-year change-percent in adiposity measures on regression and pre-diabetes (Pre-DM) progression among Iranian adults. Three-year change-percent in body weight (BW), body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and visceral adiposity index (VAI) were calculated for 1458 Pre-DM subjects (mean age of 53.0 ± 13.7, 46.8% men), participated in the third examination of the Tehran Lipid and Glucose Study (2006-2008). Multinomial logistic regression models were used to estimate relative risk ratios (RRRs) of the outcomes [i.e., regression to normal glucose regulation (NGR), persistence in Pre-DM, and progression to newly diagnosed type 2 diabetes (T2D)] across 3-year change categories of adiposity measures (i.e., ≥ 5% decrease, 0-5% decrease, increase). Over nine years of follow-up, 37.7 and 39.0% returned to NGR and progressed to T2D, respectively. Decreased BW (0-5 and ≥ 5%) was associated with regression to NGR (RRRs = 1.44, 95% CIs = 1.05-1.98, and 2.64, 1.63-4.28, respectively). Decreased BMI and WC ≥ 5% were also associated with regression to NGR (RRRs = 1.63, 95% CI = 1.01-2.64; 1.69, 1.20-2.37, respectively). Changes in WHR and VAI were not associated with Pre-DM regression or progression. Pre-DM subjects with ≥ 5% BW loss had a constant FSG level overtime and a lower overall mean of FSG (116 vs. 111 and 112mg/dL, P = 0.023 and 0.009, respectively) and 2h-SG (154 vs. 165 and 168mg/dL) compared to those had 0-5% BW loss or BW gain. Short-term management of adiposity measures increases the regression probability to NGR. Targeting BW loss seems a more potent predictor of Pre-DM reversion among the adiposity measures.

Prevalence of Subclinical Hypothyroidism in a Non-Diabetic Young Female Population and Its Impact on Diabetes and Cardiometabolic Risk.

We evaluated the influence of subclinical hypothyroidism (SCH) on insulin resistance (IR), cardiometabolic risk, and obesity in childbearing-age women without diabetes. This cross-sectional investigation included 282 women, aged 18 to 35 years, from rural and suburban Sri Lanka. Anthropometric and biochemical parameters, including IR and lipid/thyroid profiles, were recorded. Data were compared between SCH and euthyroidism (EU) for controls (normal weight) and cases (overweight/obese). The overall rates of SCH, EU, IR, and metabolic syndrome (MetS) were 40.42%, 59.57%, 73.40%, and 24.46%, respectively. Both controls and cases included individuals with SCH; overall, 168 participants (59.57%) had EU, while 114 (40.42%) exhibited SCH. IR was significantly associated with SCH in both weight groups (P<0.05). Among those with SCH, the odds ratios (ORs) for IR were >2 (95% confidence interval [CI], 0.45 to 3.87) in controls and >6 (95% CI, 3.52 to 8.41) in cases. Similarly, the ORs for MetS were >1 (95% CI, 0.38 to 4.16) in controls and >11 (95% CI, 8.73 to 15.01) in cases. Dyslipidemia and hypertriglyceridemia were significantly more prevalent in the SCH group (P<0.05). Women with SCH exhibited higher mean values for all obesity indices compared to their EU counterparts, surpassing normal thresholds (P<0.05). Among obesity measures, visceral adiposity index (VAI) demonstrated the highest area under the curve and sensitivity for assessing SCH and cardiovascular disease (CVD) risk. SCH must be identified and managed in young women to help prevent diabetes and cardiometabolic disorders. VAI may aid in precisely detecting SCH and CVD.

Osteocalcin and Chinese visceral adiposity index are associated with the risk of ASCVD and arterial stiffness in patients with T2DM

This study aims to discover the association between serum osteocalcin, the Chinese visceral adiposity index (CVAI), and atherosclerotic cardiovascular disease (ASCVD) risk, and their impact on arterial stiffness in T2DM patients. We included 639 T2DM patients aged 30 and older who received the assessment of ASCVD risk using the China-PAR equation, Osteocalcin and arterial stiffness in this cross-sectional study. We found that osteocalcin and CVAI as independent risk factors for both medium–high-risk ASCVD (osteocalcin: men, OR,0.96, 95% CI 0.92, 1.00; women, OR, 0.93, 95% CI 0.8, 1.08, respectively)(CVAI: men, OR,1.01,95% CI 1.00,1.02; women: OR, 1.08, 95% CI 1.02,1.14, respectively) and arterial stiffness (osteocalcin: men, OR, 0.98, 95% CI 0.94,1.01; women, OR, 0.98, 95% CI 0.90,1.06, respectively)(CVAI: men, OR,1.0, 95% CI 0.99,1.01; women, OR, 1.02, 95% CI 1.00,1.04, respectively) in both men and women patients with T2DM. Combining osteocalcin levels and CVAI improved the prediction accuracy of arterial stiffness in men patients with T2DM (difference of AUC(Model 4 vs. Model 1):1.5%, NRI: 0.06 [0.0,0.4]). All P-values were < 0.05. The results suggested that osteocalcin levels and CVAI are independent risk factors for ASCVD risk and arterial stiffness in T2DM. Combining osteocalcin and CVAI can enhance the early detection of atherosclerosis through male patients with T2DM.

Curvilinear relationship was found between visceral adiposity index and stress urinary incontinence among US adult women: A cross-sectional study.

The purpose of this study was to find out the relation between visceral adipose index (VAI) levels and stress urinary incontinence (SUI) in adult women. From the National Health and Nutrition Examination Survey (NHANES) 2007-2020, females aged 20 or above were identified for this study. Visceral adiposity was determined using the VAI score, and the assessment of urinary incontinence was carried out through a correlation questionnaire. Logistic regression models and restricted cubic spline (RCS) regression were employed to analyze the relationship between VAI levels and SUI. Among the 6522 participants, 2672 (41.0%) were reported SUI. Multivariate logistic regression revealed significantly higher odds of SUI with increasing VAI levels (Q4 vs. Q1), adjusted odds ratio (aOR) = 1.53 (CI: 1.29-1.81, p < 0.001). RCS regression indicated a curvilinear relationship between VAI and SUI (p = 0.003). In threshold analysis, aOR for developing SUI was 1.18 (CI: 1.11-1.26, p < 0.001) for participants with VAI < 4.73, suggesting an 18% increased risk of SUI with each unit increase in VAI. No association between VAI and SUI was observed when VAI was ≥4.73. Our study has revealed a significant curvilinear relationship between VAI and SUI within a large and representative sample of women. Future research is necessary to evaluate the relationship between the two and explicate the underlying mechanisms of this relationship.

Associations between Chinese Visceral Adiposity Index and incident stroke among community populations in Pudong New Area, Shanghai

BackgroundTo analyze the relationship between Chinese Visceral Adiposity Index (CVAI) and stroke in Pudong New Area, and to provide a scientific basis for the prevention and treatment of this condition. Materials and MethodsBased on the Follow-up Cohort Program of Chronic Disease Risk Factors in Pudong New Area, a total of 7,194 residents from 12 townships and 35 village committees or neighborhood committees were selected. The cohort data in 2016 served as the baseline, and a follow-up was conducted on 5462 individuals from 2019 to 2020. ResultsIn the analysis of stroke incidence, 5,462 subjects were included, with 616 stroke events recorded. The incidence density of stroke was 33.41 per 1000 person-years, while the China standard rate and the world standard rate were 13.78 and 12.52 per 1000 person-years, respectively. The incidence density of stroke rose with increasing quartiles of CVAI. After adjusting for potential confounders, the risk of stroke for males and females with CVAI ≥ 132.11 was 2.492 times (95% CI: 1.457 ∼ 4.260) and 1.759 times (95% CI: 1.070-2.891), respectively, compared to the groups with CVAI < 81.91. Among the eight obesity indicators, including CVAI, Visceral Adiposity Index (VAI), Body Mass Index (BMI), Waist Circumference (WC), Waist Hip Ratio (WHR), Waist Height Ratio (WHtR), Body Adiposity Index (BAI), A Body Shape Index (ABSI),and Body Roundness Index (BRI), CVAI has the highest diagnostic accuracy for female stroke using Receiver Operator Characteristic (ROC) curves (the Area under the ROC curve/AUC = 0.619). Subgroup analysis showed that smoking and dyslipidemia significantly modified the association between CVAI and stroke risk in females (interaction P < 0.05). ConclusionsCVAI is identified as a significant risk factor for stroke and serves as a valuable predictor of stroke, particularly in females.

Exploring the Relationship Between Visceral Fat and Coronary Artery Calcification Risk Using Metabolic Score for Visceral Fat (METS-VF)

Background: Metabolic Score for Visceral Fat (METS-VF) is a novel indicator for estimating intra-abdominal fat, yet its connection with coronary artery calcification (CAC) remains uncharted. Our research aims to explore the novel METS-VF indicator’s link to CAC while comparing its performance against relevant anthropometric indices. Methods: This study enrolled participants who underwent health checkups and computed tomography scans for categorizing severity of CAC using the coronary artery calcium score. The METS-VF was calculated and compared with anthropometric indices in estimating the presence of CAC and different CAC severity using receiver operating characteristic curves. Results: Overall, 1217 participants (mean age 50.7 ± 9.9, 53.8% male) were included. METS-VF (odds ratio [OR], 1.506; 95% confidence interval [CI], 1.181–1.921; p = 0.001) was positively associated with the presence of CAC, even after accounting for cardiometabolic factors. Notably, METS-VF was positively associated with mild (OR, 1.450; 95% CI, 1.115–1.886; p = 0.006), moderate (OR, 1.865; 95% CI, 1.137–3.062; p = 0.014), and severe (OR, 2.316; 95% CI, 1.090–4.923; p = 0.029) CAC. Moreover, METS-VF yielded the highest area under curve (AUC) value in the estimation of the CAC presence (AUC = 0.710), mild (AUC = 0.682), moderate (AUC = 0.757), and severe (AUC = 0.807) CAC when compared with body mass index, waist circumference, visceral adiposity index, triglyceride–glucose index, and metabolic score for insulin resistance. The optimal METS-VF cut-off value was 6.4 for predicting CAC. Conclusions: METS-VF emerged as a strong independent marker for detecting CAC presence across mild, moderate, and severe CAC categories, outperforming major anthropometric indices in accurately estimating the presence of CAC and different severity of CAC.

Triglyceride and Glucose Index as an Optimal Predictor of Metabolic Syndrome in Lebanese Adults.

Background: Globally, the prevalence of metabolic syndrome (MetS) is on the rise, especially in Arab countries, which emphasizes the need for reliable ethnic-specific biochemical screening parameters. Methods: Two hundred twenty-one Lebanese adults were enrolled in this cross-sectional study. Biochemical parameters including Homeostasis Model Assessment (HOMA), Triglyceride and Glucose index (TyG), ratio of Triglycerides to High-Density Lipoprotein Cholesterol (TG/HDL-C), Atherogenic Index of Plasma (AIP), and Visceral Adiposity Index (VAI) were assessed for their prediction of MetS. Analysis of covariance, logistic regression, expected-versus-observed case ratio were used to determine model calibration, concordance statistic, area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs), sensitivity, specificity, and negative and positive predictive values (PPV, NPV). Results: The prevalence of MetS was 44.3%. All biochemical parameters were significantly associated with MetS, with a strong model discrimination (c-statistic between 0.77 and 0.94). In both sex categories, TyG best predicted MetS (females: cut-off value, 8.34; males: cut-off value, 8.43) and showed good estimation among females, but overestimation among males. HOMA had the lowest discriminatory power in both sex categories. Conclusions: This study suggests that TyG best predicts MetS, while HOMA has the lowest predictive power. Future larger studies need to focus on harmonizing ethnic specific cut-offs and further validating our results.

Measures of insulin resistance and aortic valve calcification in the general population

Abstract Background Insulin resistance (IR) is a key component in several cardiovascular risk factors. The triglyceride-glucose index (TyG index), triglyceride to high density lipoprotein-cholesterol ratio (TG/HDL-C) and visceral adiposity index (VAI) are easily accessible surrogate measures of IR and have been associated with coronary artery calcification and other cardiovascular diseases. Less is known about IR and aortic valve calcification (AVC). Purpose To investigate the association between different measures of IR (TyG index, TG/HDL-C, VAI) and AVC. Method The Swedish Cardiopulmonary Bioimage Study (SCAPIS) recruited 30 154 randomly selected individuals aged 50 to 64 years from the general population in Sweden between 2013 to 2018. AVC was assessed visually on cardiac computed tomography and categorized as present or absent. TyG index was calculated based on triglyceride and glucose levels, TG/HDL-C ratio using triglyceride and HDL-C levels and VAI using waist circumference, triglyceride and HDL-C levels. The association between IR indexes (as continuous variables by 1 unit increment and categorical variables by quartiles) and AVC was assessed using multivariable logistic regression models. Results In total, measures of IR were available in 29 268 participants of whom 2118 (7%) had AVC. Mean IR index levels were higher in participants with compared to without AVC (TyG index: 8.65 vs. 8.49; p&amp;lt;0.01; TG/HDL-C: 1.11 vs. 0.91; p&amp;lt;0.01 and VAI: 1.73 vs. 1.48; p&amp;lt;0.01). All three indices of IR were associated with AVC in continuous analyses. Subsequently, in multivariable logistic regressions adjusted for age, sex, study site and smoking, there was a stepwise increase in the risk of AVC with increasing quartiles of TyG index, TG/HDL-C and VAI (Figure 1). Conclusion Three different surrogate measures of IR (TyG index, TG/HDL-C and VAI) were all associated with AVC in a middle-aged general population suggesting that they could all be used as risk markers in clinical practice.

The visceral adiposity index predicts cardiovascular events both in coronary artery disease patients with and in those without diabetes

Abstract The Visceral Adiposity Index (VAI) is calculated based on waist circumference, BMI, triglyceride and HDL-cholesterol levels and is a validated measure of visceral adiposity. In the general population, the VAI has been shown to be an independent risk factor for premature mortality. Its power to predict cardiovascular events in patients with coronary artery disease (CAD) with or without type 2 diabetes mellitus (T2DM) is not known and is addressed in the present study. We prospectively investigated 927 patients with angiographically diagnosed CAD over a mean follow-up time of 8.2±4.3 years. At baseline, the VAI was significantly higher in patients with T2DM (n=303) than in those who did not have diabetes (6.5±5.2 vs. 4.8±4.9; p&amp;lt;0.001). During follow-up, we recorded 385 cardiovascular events. The VAI significantly predicted the incidence of cardiovascular events both univariately (standardized HR 1.09 [1.02-1.16]; p=0.011) and after adjustment for age, gender, smoking, LDL cholesterol, hypertension and T2DM (standardized adjusted HR 1.11 [1.04- 1.18]; p=0.002); T2DM also significantly predicted cardiovascular events in this fully adjusted model (adjusted HR 1.26 [1.04-1.52]; p=0.018) independently from the VAI. We conclude that the VAI and T2DM are mutually independent predictors of cardiovascular events in patients with CAD.

Prognostic impact of composite lipid indices in patients with acute coronary syndrome undergoing percutaneous coronary intervention

Abstract Background Composite lipid indices have been reported to have associations with several cardiovascular diseases and their negative adverse events. Among these, there are four novel indices that can be easily calculated, namely, triglyceride-glucose index (TyG, calculated from fasting plasma glucose [FPG] and triglyceride [TG]), lipid accumulation product (LAP, calculated from waist circumference [WC] and TG), visceral adiposity index (VAI, calculated from WC, TG, body mass index [BMI], and high-density lipoprotein [HDL]), and atherogenic index of plasma (AIP, calculated from TG and HDL). Herein, we aimed to investigate the impact of these indices on the incidence of major adverse cardiovascular and cerebrovascular events (MACCE) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). Methods All the patients with ACS who underwent PCI at our institution during the 2015-2022 period were included in the analyses. Patients were divided based on each of the TyG, VAI, LAP, and AIP indices quartiles (Q). The median follow-up was 378 days and the outcome assessed was MACCE composed of all-cause mortality, myocardial infarction, stroke, target vessel revascularization, target lesion revascularization, and coronary artery bypass grafting surgery. Results There was a total of 13,682 patients with ACS undergoing PCI with a mean age of 62.67 ± 11 years and 72.61% male predominance. Regarding the TyG index, patients in Q4 had a higher incidence of MACCE, compared to those in Q1 (adjusted HR [aHR] 1.271, 95% CI 1.067 – 1.513], p-value &amp;lt; 0.01). While in the crude model, patients in Q2, Q3, and Q4 of LAP had significantly higher rates of MACCE, compared to Q1, this association was not observed in the age- and sex-adjusted model and fully-adjusted model. Similarly, there was no difference among the quartiles of VAI and AIP regarding the incidence of MACCE. Kaplan-Meier curves also show that there were significant differences among TyG and LAP quartiles (p-value = 0.0049 and p-value = 0.035, respectively). Conclusion As our findings suggest, patients with higher TyG levels, as a surrogate marker of insulin resistance, had a higher incidence of MACCE. LAP could also play an important role in the incidence of adverse events after PCI. These novel lipid indices could help clinicians in determining the risks of patients with ACS undergoing PCI in order to provide better care to them.Risk of MACCE in different quartilesKaplan Meier Curves for risk of MACCE

Association between visceral lipid accumulation indicators and gallstones: a cross-sectional study based on NHANES 2017–2020

BackgroundObesity is a major contributing factor to the formation of gallstones. As early identification typically results in improved outcomes, we explored the relationship between visceral lipid accumulation indicators and the occurrence of gallstones.MethodsThis cross-sectional study involved 3,224 adults. The researchers employed multivariable logistic regression, smoothed curve fitting (SCF), threshold effects analysis, and subgroup analysis to examine the relationship between metabolic scores for visceral fat (METS-VF), waist circumference (WC), lipid accumulation products (LAP), and visceral adiposity index (VAI) and gallstones. A Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify key factors which were then used in the construction of a nomogram model. The diagnostic efficacy of this model in detecting gallstones was then determined using receiver operating characteristic curves.ResultsVisceral lipid accumulation indicators were strongly linked to the likelihood of having gallstones. Specific saturation effects for METS-VF, WC, LAP, and VAI and gallstones were determined using SCF. The inflection points for these effects were found to be 8.565, 108.400, 18.056, and 1.071, respectively. Subgroup analyses showed that associations remained consistent in most subgroups. The nomogram model, which was developed using critical features identified by LASSO regression, demonstrated excellent discriminatory ability, as indicated by an area under the curve value of 0.725.ConclusionsStudies have shown that increases in METS-VF, WC, LAP, and VAI are linked to increased prevalences of gallstones. The nomogram model, designed with critical parameters identified using LASSO regression, exhibits a strong association with the presence of gallstones.

Association between visceral adiposity index, lipid accumulation product and type 2 diabetes mellitus in US adults with hypertension: a cross-sectional analysis of NHANES from 2005 to 2018

BackgroundThe presence of hypertension significantly increases the risk of diabetes, particularly type 2 diabetes. Recently, Visceral Adiposity Index (VAI) has been introduced as a straightforward and robust alternative indicator for early detection of metabolic syndrome, cardiovascular disease, and T2DM. Visceral adiposity, more dangerous than subcutaneous fat, is associated with metabolic syndrome and cardiovascular diseases. The VAI and Lipid Accumulation Product (LAP) are indices that quantify visceral fat and lipid overaccumulation, respectively. This study aims to explore the association between VAI, LAP, and type 2 diabetes mellitus (T2DM) in US adults with hypertension using NHANES data from 2005 to 2018.MethodsWe analyzed data from 5,620 participants with hypertension in The National Health and Nutrition Examination Survey (NHANES). VAI and LAP were calculated using established formulas. The VAI is calculated based on a combination of waist circumference, body mass index (BMI), triglycerides, and high-density lipoprotein (HDL) cholesterol levels. Logistic regression models were applied to evaluate the association between these indices and T2DM, adjusting for potential confounders. Subgroup analyses by age and gender were also conducted to assess variations in risk.ResultsIn all, 5,620 participants were enrolled in our analysis, with 2,754 (49%) being female, and a mean (standard deviation, SD) age of 57 (15) years. The mean (SD) cumulative average VAI and LAP among all participants was 241 (2.71) and 75 (67), respectively. Totally, higher VAI and LAP indices were significantly associated with an increased risk of T2DM in individuals with hypertension. For VAI, the odds ratios (OR) for T2DM were higher in older adults (≥ 60 years) [95% confidence interval (CI): 1.37, 1.22–1.53, per 1 SD increase] and females [95% confidence interval (CI): 1.39, 1.27–1.52, per 1 SD increase], indicating age and gender differences in risk. Non-linear relationships were observed, suggesting thresholds beyond which the risk of T2DM escalates dramatically.ConclusionsBoth VAI and LAP are reliable markers for assessing T2DM risk in individuals with hypertension. Incorporating these indices into clinical practice could enhance the identification of high-risk individuals and facilitate early intervention strategies. Future longitudinal studies are needed to confirm these associations and explore targeted interventions.

Association between visceral adiposity index and bowel habits and inflammatory bowel disease: a cross-sectional study

Obesity has become a global public health problem, and its relationship with gastrointestinal diseases has become a major concern. The visceral adiposity index (VAI) is a novel index to assess the distribution and content of visceral fat, and this study aimed to investigate the association between VAI and bowel habits (chronic diarrhea, chronic constipation) and inflammatory bowel disease (IBD). The 2005–2010 National Health and Nutrition Examination Survey (NHANES) dataset was used for the cross-sectional survey. Bowel habits and IBD were defined by self-report. Multiple logistic regression models were used to test the linear association of VAI with bowel habits and IBD. Fitted smoothed curves and threshold effects analyses were used to characterize nonlinear relationships. This cross-sectional study included 10,391 adults (≥ 20 years). After adjusting for covariates, there was a significant negative association between VAI and chronic constipation (OR [95% CI]: 0.97 [0.95, 1.00]) but no significant association with IBD (OR [95% CI]: 0.97 [0.87, 1.07]). Additionally, there was a nonlinear association between VAI and chronic diarrhea with a breakpoint of 3.08, with a positive correlation between the two on the left side of the breakpoint and no statistical significance on the right side. Subgroup analyses and interaction tests showed that maintaining sleep health was associated with a low risk of chronic constipation. Elevated VAI levels were negatively associated with chronic constipation, and elevated levels were positively associated with chronic diarrhea at VAI < 3.08. This reminds us that maintaining moderate levels of visceral fat may prevent the onset of chronic constipation and circumvent the risk of chronic diarrhea. Notably, maintaining healthy sleep may play a positive role in reducing chronic constipation.

Effects of Specially Designed Energy-Restricted Diet on Anthropometric Parameters and Cardiometabolic Risk in Overweight and Obese Adults: Pilot Study.

This study examined the effects of a specially designed energy-restricted diet with alternate carbohydrate intake on body composition and cardiometabolic risk factors in overweight and obese adults. The aim was to assess whether the intervention could lead to significant weight loss, improve body composition, and reduce cardiometabolic risks. Sixty-five participants (34 women, 31 men) with an average BMI of 31.8 ± 9.1 kg/m2 (women) and 34.1 ± 6.4 kg/m2 (men) participated in a 14-week intervention. The diet included different days of carbohydrate intake and a 20% reduction in total daily energy consumption. Anthropometric measurements and biochemical parameters, including predictive indices of cardiometabolic risk, were determined at baseline and after the intervention. The intervention resulted in a significant reduction in body weight (mean weight loss of 17%, p < 0.001), with 64.6% of participants achieving a weight loss of at least 10%. Muscle mass as a percentage of total body weight increased. Cardiometabolic improvements were observed in fasting blood glucose (from 5.4 to 4.9 mmol/L, p < 0.001) and LDL cholesterol (from 3.38 to 2.81 mmol/L, p < 0.001). Gender-specific differences were found, particularly in HDL-C, which decreased significantly in women (p = 0.013), while there was a non-significant increase in men. Cardiometabolic indices, including the Visceral Adiposity Index (VAI) and the Cardiometabolic Index (CMI), also improved significantly. The alternate carbohydrate diet improved body composition, cardiometabolic health, and treatment adherence through metabolic flexibility. However, the short duration of this study and the lack of a control group suggest that further research is needed to assess long-term sustainability.

Association of diabetic retinopathy with plasma atherosclerotic index, visceral obesity index, and lipid accumulation products: NHANES 2005–2008

BackgroundAbdominal obesity, a significant risk factor for the progression of diabetic retinopathy (DR), may lead to improved visual outcomes through early assessment. This study aims to evaluate any potential associations between DR and novel lipid metabolism markers, including the Atherogenic Index of Plasma (AIP), Visceral Adiposity Index (VAI), and Lipid Accumulation Product (LAP).MethodsThis study aimed to elucidate the association between various lipid markers and DR by screening the National Health and Nutrition Examination Survey (NHANES) database in the United States from 2005 to 2008. To examine the correlation, multifactor logistic regression analysis, subgroup analysis, threshold effect analysis, interaction test, and smooth curve fitting were used.ResultsAmong the 2591 participants included, the incidence of DR was 13.6% and the mean age was 59.55 ± 12.26 years. After adjusting for important confounding covariates, logistic regression studies suggested a possible positive association between LAP, VAI, AIP, and DR occurrence (odds ratio [OR] = 1.004; 95% confidence interval [CI]: 1.002, 1.006; P < 0.0001; [OR] = 1.090; 95% [CI]: 1.037, 1.146; P = 0.0007; [OR] = 1.802; 95% [CI]: 1.240, 2.618; P = 0.0020). The nonlinear association between LAP and DR was further illustrated using an S-shaped curve by smoothing curve fitting, with the inflection point of the curve located at 63.4. Subgroup analyses and interaction tests were performed with full variable adjustment (P > 0.05 for all interactions).ConclusionStudies have shown that elevated levels of LAP, VAI, and AIP increase the likelihood of DR, suggesting that they have the potential to be predictive markers of DR, emphasizing their potential utility in risk assessment and prevention strategies, and advocating for early intervention to mitigate the likelihood of DR.

Association between visceral adiposity index and cancer risk in the UK Biobank cohort.

The visceral adiposity index (VAI) is a marker of visceral fat accumulation and metabolic dysfunction, but there is limited evidence of its association with cancer. The objective of this study was to investigate associations between the VAI and both incident cancer at 23 sites and all-cause cancer. In total, 385,477 participants (53.3% women; mean age, 56.3 years) from the UK Biobank prospective cohort were included in this study. The median follow-up was 8.2 years (interquartile range, 7.3-8.9 years). The VAI was calculated using formula the published by Amato etal. and was categorized into sex-specific tertiles. Twenty-four incident cancers were the outcomes. Cox proportional hazard models were adjusted for sociodemographics, lifestyle factors, and multimorbidity counts. Over the follow-up period, 47,882 individuals developed cancer. In the fully adjusted models, the VAI was associated with a higher risk of six cancer sites. Individuals in the highest tertile, compared with those in the lowest tertile, had higher risks of uterine (hazard ratio [HR], 2.09; 95% confidence interval [CI], 1.76-2.49), gallbladder (HR, 1.83; 95% CI, 1.26-2.66), kidney (HR, 1.39; 95% CI, 1.18-1.64), liver (HR, 1.25; 95% CI, 1.00-1.56), colorectal (HR, 1.14; 95% CI, 1.05-1.24), and breast (HR, 1.11; 95% CI, 1.03-1.19) cancers and of all-cause cancer (HR, 1.05). There was no evidence of a nonlinear association between the VAI and cancer risk. The VAI was associated with six cancer sites and with all-cause cancer. The prognostic and etiologic roles of visceral fat accumulation and dysfunction in cancer warrant further research.

Association between insulin resistance indices and kidney stones: results from the 2015-2018 National Health and Nutrition Examination Survey.

To explore the association between representative insulin resistance (IR) indices and the risk of kidney stone disease in an American adult population. The representative IR indices referred to metabolic score for IR (METS-IR), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, triglyceride glucose-body mass index (TyG-BMI), visceral adiposity index (VAI), and homeostatic model assessment of IR (HOMA-IR). We investigated adult participants who joined the 2015-2018 National Health and Nutrition Examination Survey (NHANES) and reported kidney stone histories. Weighted proportions, multivariable regression analysis, and restricted cubic splines were used to evaluate the associations between IR indices and kidney stones after their adjustment for gender, age, race, education, smoking status, alcohol drinking frequency, hypertension and diabetes status, physical activity level, water intake, and levels of calcium, cholesterol, and uric acid. A total of 19,225 participants were included. The weighted prevalence of kidney stone was 11.1%. A multivariable logistic regression model showed a dose-response relationship between the METS-IR and kidney stone [odds ratio (OR) = 1.02, 95% confidence interval (CI) (1.01, 1.04), p < 0.01]. A similar relationship was observed between the TyG-BMI and kidney stone after full adjustment [OR = 1.0, 95% CI (1.0, 1.01), p < 0.001]. Sex-stratified analyses revealed that the association between METS-IR and nephrolithiasis [OR = 1.03, 95% CI (1.01, 1.05), p < 0.01], and the association between TyG-BMI and nephrolithiasis [OR = 1.01, 95% CI (1.0, 1.01), p <0.001] was significant among the male participants in the fully adjusted model. Moreover, a significant association was found between the METS-IR levels and nephrolithiasis [OR = 1.03, 95% CI (1.01, 1.06), p < 0.01], and between the TyG-BMI levels and nephrolithiasis [OR = 1.01, 95% CI (1.0, 1.01), p < 0.05] among the diabetic participants after full adjustment. Furthermore, a potential nonlinear association was found between other IR indices (i.e., TG/HDL-C, VAI, and HOMA-IR) and the risk of kidney stone disease. Higher METS-IR and TyG-BMI levels were associated with a higher risk of nephrolithiasis. Future investigations are required to identify the role of IR in the progress of kidney stone formation and to propose prevention measures and health guidelines.

Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 13 years of results from Isfahan Cohort Study.

We examined the accuracy of novel anthropometric indices in predicting the progression of prediabetes to diabetes. This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patients' data regarding the incidence and time of incidence of diabetes were recorded. We evaluated the association between the risk of developing diabetes and novel anthropometric indices including: visceral adiposity index (VAI), lipid accumulation products (LAP), deep abdominal adipose tissue (DAAT), abdominal volume index (AVI), A body shape index (ABSI), body roundness index (BRI) and weight-adjusted waist index (WWI). We categorized the indices into two groups according to the median value of each index in the population. We used Cox regression analysis to obtain hazard ratios (HR) using the first group as the reference category and used receiver operating characteristics (ROC) curve analysis for comparing the predictive performance of the indices. From 215 included subjects, 79 developed diabetes during the 13-year follow-up. AVI, LAP, BRI, and VAI indicated statistically significant HR in crude and adjusted regression models. LAP had the greatest association with the development of diabetes HR = 2.18 (1.36-3.50) in multivariable analysis. ROC curve analysis indicated that LAP has the greatest predictive performance among indices (area under the curve = 0.627). Regardless of baseline confounding variables, prediabetic patients with a higher LAP index may be at significantly higher risk for developing diabetes.

Circulating IRISIN and visceral adiposity index as predictors of cardiometabolic syndrome in normal weight, obese, and obese with type 2 diabetes mellitus Jordanian adults

Circulating IRISIN and visceral adiposity index as predictors of cardiometabolic syndrome in normal weight, obese, and obese with type 2 diabetes mellitus Jordanian adults