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Background: The 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. Methods: We 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. Results: In 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. Conclusions: Both 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The objective of this study is to investigate the association between diabetic kidney disease (DKD) and various adiposity indexes, including the visceral adiposity index (VAI), lipid accumulation product index (LAPI), visceral fat area (VFA), and subcutaneous fat area (SFA) in type 2 diabetes mellitus (T2DM) patients. 1176 T2DM patients was stratified into normoalbuminuria (NO), microalbuminuria (MI), and macroalbuminuria (MA) groups based on their urinary albumin-creatinine ratio (UACR) levels. To analyse the correlation between DKD and VAI, LAPI, VFA, and SFA. Multiple linear, restricted cubic spline (RCS), subgroup analyses, and multinomial logistic regression were employed. After adjusting for confounding variables, UACR levels were positively associated with VAI, LAPI, and VFA. RCS curves demonstrated a J-shaped dose-response relationship between VAI and LAPI levels with UACR levels, while a linear correlation was observed between UACR levels and VFA. Using the NO and MI as reference groups, the MA group was analysed as the observational group. DKD severity was positively associated with VAI, LAPI and VFA. When evaluating DKD prognostic risk, with the low-risk and medium-risk groups serving as reference categories, a significant positive correlation was identified with prognostic risk and VAI, LAPI, and VFA in the high-risk or very high-risk groups. In patients with T2DM, DKD severity and prognostic risk were positively correlated with VAI, LAPI, and VFA levels. [ABSTRACT FROM AUTHOR]

Background/Objectives: Steelworkers are more likely to have a higher prevalence of hyperuricemia due to their exposure to special occupational factors and dietary habits. The interrelationships of visceral adiposity index (VAI), hyperuricemia, and drinking tea remain uncertain. This study aimed to assess the association between VAI and hyperuricemia among steelworkers, and if drinking tea modified this association. Methods: A total of 9928 steelworkers from Hunan Hualing Xiangtan Iron and Steel Company participated in this cross-sectional study. All participants completed a questionnaire, received anthropometric measurements, and provided blood samples for biochemical testing. Three logistic regression models were used to analyze the association between VAI and hyperuricemia. Results: In this study, the prevalence of hyperuricemia was approximately 23.74% (males: 24.41%; females: 20.63%), and a positive correlation between VAI and hyperuricemia risk was observed. In multivariate logistic regression analysis, the risk of hyperuricemia increased 1.76 times (95% CI: 1.64–1.89) and 2.13 times (95% CI: 1.76–2.57) with the increase of ln VAI in males and females, respectively. For males, compared to quartile 1, the risk of hyperuricemia in the second, third, and fourth quartile of VAI were 1.75 (95% CI: 1.11–2.71), 2.56 (95% CI: 1.67–3.93) and 4.89 (95% CI: 3.22–7.43). For females, compared to quartile 1, the risk of hyperuricemia in the second, third, and fourth quartile of VAI were 1.99 (95% CI: 1.40–2.82), 2.92 (95% CI: 1.96–4.34) and 4.51 (95% CI: 2.89–7.02). Additionally, our study found that, compared with not consuming tea, drinking tea could reduce uric acid levels by 0.014 in male steelworkers (t = −2.051, p = 0.040), 0.020 in workers consuming smoked food (t = −2.569, p = 0.010), and 0.022 in workers consuming pickled food (t = −2.764, p = 0.006). Conclusions: In conclusion, VAI is positively correlated with hyperuricemia in steelworkers. Drinking tea may lower uric acid levels in male steelworkers and steelworkers who prefer smoked and pickled foods. [ABSTRACT FROM AUTHOR]

The Visceral Adiposity Index (VAI) assesses visceral fat and related metabolic risks. However, its precise correlation with sarcopenia is unclear. This study aimed to examine this correlation. A cross-sectional analysis was conducted using NHANES data from 2011 to 2018. To correct VAI skewness, a logarithmic transformation was applied. Multiple covariates were included, and logistic regression was employed to explore the relationship between VAI and sarcopenia. Restricted cubic spline (RCS) and threshold saturation analyses were used to investigate the nonlinear relationship. Subgroup analyses evaluated the effects of various stratification factors. Sensitivity and additive analyses tested the robustness of the findings. The study included 4688 individuals. Participants with sarcopenia had significantly higher VAI values. Logistic regression revealed a significant positive connection between Log VAI and sarcopenia (OR 2.09, 95% CI 1.80–2.43) after adjusting for variables. RCS analysis showed a nonlinear correlation, identifying a breakpoint at VAI = 1.51. To the left of this breakpoint, each unit increase in VAI significantly correlated with a higher likelihood of sarcopenia (OR 2.54, 95% CI 1.74–3.79); to the right, increases in VAI did not significantly affect prevalence. Subgroup analyses suggested VAI as an independent risk factor. Sensitivity and additive analyses confirmed the main findings' robustness. Among American adults, the VAI is significantly associated with sarcopenia, with higher VAI values potentially increasing the prevalence of sarcopenia. Monitoring VAI is critical for early identification of high-risk individuals and interventions to delay or minimize the onset and progression of sarcopenia. [ABSTRACT FROM AUTHOR]

Purpose: Previous 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. Methods: In 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. Results: The 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. Conclusion: The 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. [ABSTRACT FROM AUTHOR]

Purpose: Many factors influence male sexual function, including metabolic disorders such as metabolic syndrome (MetS). We aimed to investigate the effects of two metabolic indices, the triglyceride-glucose (TyG) index and the visceral adiposity index (VAI), on male sexual function. Methods: A total of 400 men having sexual dysfunction were included. Anthropological data, comorbidities were recorded. Serum total testosterone, prolactin, and estradiol levels were recorded. Sex-specific VAI was calculated using the [(WC/39.68) + (1.88xMI)] × (TG/1.03) × (1.31/HDL) formula and using Ln (fasting triglycerides) × (fasting glucose)/2] formula, TyG index was calculated. Turkish-validated 15-item long-form of the International Index of Erectile Dysfunction (IIEF) questionnaire and male sexual health questionnaire (MSHQ) were used for erectile function and ejaculatory function, respectively. The ROC analysis was used to evaluate the predictive abilities of TyG and VAI cut-off values for ED risk. Results: A higher TyG index and VAI were associated with an increased risk of ED. The presence of MetS further worsened sexual function, with lower scores in sexual satisfaction, orgasm, desire, and general satisfaction. The TyG index and VAI showed similar predictive abilities for ED. Patients with MetS had worse ejaculation quality compared to those without MetS. Conclusions: These findings highlight the potential of the TyG index and VAI as convenient tools for predicting and assessing sexual dysfunction in men, particularly in the context of metabolic disorders. Early detection and intervention for metabolic syndrome and insulin resistance may help to mitigate their negative impact on male sexual function. [ABSTRACT FROM AUTHOR]

Abstract 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

Abstract Background The 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. Methods We 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. Results In 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. Conclusions Both 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.

Abstract The objective of this study is to investigate the association between diabetic kidney disease (DKD) and various adiposity indexes, including the visceral adiposity index (VAI), lipid accumulation product index (LAPI), visceral fat area (VFA), and subcutaneous fat area (SFA) in type 2 diabetes mellitus (T2DM) patients. 1176 T2DM patients was stratified into normoalbuminuria (NO), microalbuminuria (MI), and macroalbuminuria (MA) groups based on their urinary albumin-creatinine ratio (UACR) levels. To analyse the correlation between DKD and VAI, LAPI, VFA, and SFA. Multiple linear, restricted cubic spline (RCS), subgroup analyses, and multinomial logistic regression were employed. After adjusting for confounding variables, UACR levels were positively associated with VAI, LAPI, and VFA. RCS curves demonstrated a J-shaped dose-response relationship between VAI and LAPI levels with UACR levels, while a linear correlation was observed between UACR levels and VFA. Using the NO and MI as reference groups, the MA group was analysed as the observational group. DKD severity was positively associated with VAI, LAPI and VFA. When evaluating DKD prognostic risk, with the low-risk and medium-risk groups serving as reference categories, a significant positive correlation was identified with prognostic risk and VAI, LAPI, and VFA in the high-risk or very high-risk groups. In patients with T2DM, DKD severity and prognostic risk were positively correlated with VAI, LAPI, and VFA levels.

Abstract The Visceral Adiposity Index (VAI) assesses visceral fat and related metabolic risks. However, its precise correlation with sarcopenia is unclear. This study aimed to examine this correlation. A cross-sectional analysis was conducted using NHANES data from 2011 to 2018. To correct VAI skewness, a logarithmic transformation was applied. Multiple covariates were included, and logistic regression was employed to explore the relationship between VAI and sarcopenia. Restricted cubic spline (RCS) and threshold saturation analyses were used to investigate the nonlinear relationship. Subgroup analyses evaluated the effects of various stratification factors. Sensitivity and additive analyses tested the robustness of the findings. The study included 4688 individuals. Participants with sarcopenia had significantly higher VAI values. Logistic regression revealed a significant positive connection between Log VAI and sarcopenia (OR 2.09, 95% CI 1.80–2.43) after adjusting for variables. RCS analysis showed a nonlinear correlation, identifying a breakpoint at VAI = 1.51. To the left of this breakpoint, each unit increase in VAI significantly correlated with a higher likelihood of sarcopenia (OR 2.54, 95% CI 1.74–3.79); to the right, increases in VAI did not significantly affect prevalence. Subgroup analyses suggested VAI as an independent risk factor. Sensitivity and additive analyses confirmed the main findings’ robustness. Among American adults, the VAI is significantly associated with sarcopenia, with higher VAI values potentially increasing the prevalence of sarcopenia. Monitoring VAI is critical for early identification of high-risk individuals and interventions to delay or minimize the onset and progression of sarcopenia.

Abstract Background Previous 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. Methods Participants 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. Results A 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). 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. Conclusion Increased 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.

Abstract 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

Abstract Purpose Previous 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. Methods In 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. Results The 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. Conclusion The 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.

Abstract Over the years, obesity has become more commonplace and has had a substantial impact on several medical specialties, including reproductive medicine. The potential correlation between the visceral adiposity index (VAI) and infertility has yet to be determined. Women between the ages of 18 and 45 were included in this cross-sectional study, which was conducted as part of the National Health and Nutrition Examination Survey (NHANES) between 2015 and 2020. Three tertiles were used to group VAI levels. Subgroup analysis and weighted binary logistic regression were employed to investigate the independent relationship between VAI and infertility. Smooth curve fitting was used to explore nonlinear relationships. This cross-sectional study followed the criteria of the STROBE guidelines. Of the 1231 participants, 127 were infertile women aged 18–45 years. A higher VAI was associated with a higher prevalence of infertility (OR = 1.22, 95% CI:1.03–1.45), which remained consistent across all subgroups (p > 0.05 for all interactions). We demonstrated a positive nonlinear association between VAI and infertility using a smooth curve fit. A higher visceral adiposity index level is positively correlated with a higher incidence of infertility among women in the United States. Women who are infertile can be identified using the visceral obesity index, and controlling visceral obesity may help lower the chances of becoming infertile.

Background: Previous 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. Methods: Participants 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. Results: A 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. Conclusion: Increased 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Kidney stones represent a serious medical problem, resulting from several factors such as diet, genetics, and certain medical conditions. Visceral adipose tissue has been shown in recent research to play a significant role in kidney stone formation, making it a more precise indicator than traditional obesity indicators such as body mass index. The main aim of this review is to summarize studies on visceral obesity as a predictive marker for nephrolithiasis and to highlight new mechanistic pathways such as adipokine-mediated inflammation and its impact on kidney stone formation. This review emphasizes the importance of considering visceral fat in the prevention and management of kidney stones, suggesting that targeted strategies to reduce visceral fat could decrease the incidence of kidney stones and their management costs. Further prospective studies are needed to validate these findings and propose preventive strategies based on visceral adiposity assessments. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Obesity correlates with accelerated aging. This study aims to investigate the association between the visceral adiposity index (VAI) and accelerated aging. Methods: Biological aging was evaluated by phenotypic age acceleration (PhenoAgeAccel). Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2010, we employed weighted multivariable logistic regression models, along with subgroup analysis, to examine the association between VAI and PhenoAgeAccel. Moreover, smooth curve fitting was utilized to identify potential nonlinear association, complemented by a two-piece linear regression model to investigate threshold effects. Results: Of the included 11,340 participants aged 20 years and older, the mean (95% CI) age was 46.569 (45.946, 47.191) years, and 49.189% were male. The mean (95% CI) VAI for all participants was 2.176 (2.114, 2.238), and the mean (95% CI) PhenoAgeAccel was −6.306 (−6.618, −5.994) years. In the fully adjusted model, each incremental unit increase of VAI was associated with a 0.312-year increase in PhenoAgeAccel (β = 0.312, 95% CI: 0.217, 0.408). This positive association was more statistically significant among individuals with cancer. Furthermore, a segmented association was observed between VAI and PhenoAgeAccel, with a turning point identified at 10.543. Below this threshold, VAI exhibited a positive correlation with PhenoAgeAccel (β = 0.617, 95% CI: 0.499, 0.735), while beyond it, the association became nonsignificant. Conclusion: This study demonstrated a positive association between VAI and accelerated aging within a nationally representative population. The findings suggest that controlling adiposity may exert anti-aging effects and help prevent aging-related diseases.

Background: Lipid 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. Methods: A 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. Results: During 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). Conclusion: VAI, 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.

Abstract Background Obesity and hypertension are major risk factors for cardiovascular diseases that affect millions of people worldwide. Both conditions are associated with chronic low-grade inflammation, which is mediated by adipokines such as adiponectin. Adiponectin is the most abundant adipokine that has a beneficial impact on metabolic and vascular biology, while high serum concentrations are associated with some syndromes. This “adiponectin paradox” still needs to be clarified in obesity-associated hypertension. The aim of this study was to investigate how adiponectin affects blood pressure, inflammation, and metabolic function in obesity hypertension using a Chinese adult case-control study. Methods A case-control study that had finished recruiting 153 subjects divided as four characteristic groups. Adiponectin serum levels were tested by ELISA in these subjects among these four characteristic Chinese adult physical examination groups. Waist circumference (WC), body mass index (BMI), systolic blood pressure (SB), diastolic blood pressure (DB), and other clinical laboratory data were collected. Analyzation of correlations between the research index and differences between groups was done by SPSS. Results Serum adiponectin levels in the| normal healthy group (NH group) were significantly higher than those in the newly diagnosed untreated just-obesity group (JO group), and negatively correlated with the visceral adiposity index. With multiple linear egression analysis, it was found that, for serum adiponectin, gender, serum albumin (ALB), alanine aminotransferase (ALT) and high-density lipoprotein cholesterol (HDLC) were the significant independent correlates, and for SB, age and HDLC were the significant independent correlates, and for DB, alkaline phosphatase (ALP) was the significant independent correlate. The other variables did not reach significance in the model. Conclusions Our study reveals that adiponectin’s role in obesity-hypertension is multifaceted and is influenced by the systemic metabolic homeostasis signaling axis. In obesity-related hypertension, compensatory effects, adiponectin resistance, and reduced adiponectin clearance from impaired kidneys and liver all contribute to the “adiponectin paradox”.

Abstract Background Obesity refers to a significant contributor to the development of obstructive sleep apnea (OSA). Early prediction of OSA usually leads to better treatment outcomes, and this study aims to employ novel metabolic markers, visceral adiposity index (VAI), and lipid accumulation product (LAP) to evaluate the relationship to OSA. Methods The data used in the current cross-sectional investigation are from the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2015 and 2018. To examine the correlation between LAP and VAI levels and OSA, multivariate logistic regression analysis was adopted. In addition, various analytical methods were applied, including subgroup analysis, smooth curve fitting, and threshold effect analysis. Results Among totally 3932 participants, 1934 were included in the OSA group. The median (Q1-Q3) values of LAP and VAI for the participants were 40.25 (21.51–68.26) and 1.27 (0.75–2.21), respectively. Logistic regression studies indicated a positive correlation between LAP, VAI, and OSA risk after adjusting for potential confounding variables. Subgroup analysis revealed a stronger correlation between LAP, VAI levels, and OSA among individuals aged

Background: This study aimed to compare anthropometric indices to predict type 2 diabetes mellitus (T2DM) among first-degree relatives of diabetic patients in the Iranian community. Methods: In this study, information on 3483 first-degree relatives (FDRs) of diabetic patients was extracted from the database of the Endocrinology and Metabolism Research Center of Isfahan University of Medical Sciences. Overall, 2082 FDRs were included in the analyses. A logistic regression model was used to evaluate the association between anthropometric indices and the odds of having diabetes. Furthermore, a receiver operating characteristic (ROC) curve was applied to estimate the optimal cutoff point based on the sensitivity and specificity of each index. In addition, the indices were compared based on the area under the curve (AUC). Results: The overall prevalence of diabetes was 15.3%. The optimal cutoff points for anthropometric measures among men were 25.09 for body mass index (BMI) (AUC = 0.573), 0.52 for waist-to-height ratio (WHtR) (AUC = 0.648), 0.91 for waist-to-hip ratio (WHR) (AUC = 0.654), 0.08 for a body shape index (ABSI) (AUC = 0.599), 3.92 for body roundness index (BRI) (AUC = 0.648), 27.27 for body adiposity index (BAI) (AUC = 0.590), and 8 for visceral adiposity index (VAI) (AUC = 0.596). The optimal cutoff points for anthropometric indices were 28.75 for BMI (AUC = 0.610), 0.55 for the WHtR (AUC = 0.685), 0.80 for the WHR (AUC = 0.687), 0.07 for the ABSI (AUC = 0.669), 4.34 for the BRI (AUC = 0.685), 39.95 for the BAI (AUC = 0.583), and 6.15 for the VAI (AUC = 0.658). The WHR, WHTR, and BRI were revealed to have fair AUC values and were relatively greater than the other indices for both men and women. Furthermore, in women, the ABSI and VAI also had fair AUCs. However, BMI and the BAI had the lowest AUC values among the indices in both sexes. Conclusion: The WHtR, BRI, VAI, and WHR outperformed other anthropometric indices in predicting T2DM in first-degree relatives (FDRs) of diabetic patients. However, further investigations in different populations may need to be implemented to justify their widespread adoption in clinical practice. [ABSTRACT FROM AUTHOR]

Background: Obesity and hypertension are major risk factors for cardiovascular diseases that affect millions of people worldwide. Both conditions are associated with chronic low-grade inflammation, which is mediated by adipokines such as adiponectin. Adiponectin is the most abundant adipokine that has a beneficial impact on metabolic and vascular biology, while high serum concentrations are associated with some syndromes. This "adiponectin paradox" still needs to be clarified in obesity-associated hypertension. The aim of this study was to investigate how adiponectin affects blood pressure, inflammation, and metabolic function in obesity hypertension using a Chinese adult case-control study. Methods: A case-control study that had finished recruiting 153 subjects divided as four characteristic groups. Adiponectin serum levels were tested by ELISA in these subjects among these four characteristic Chinese adult physical examination groups. Waist circumference (WC), body mass index (BMI), systolic blood pressure (SB), diastolic blood pressure (DB), and other clinical laboratory data were collected. Analyzation of correlations between the research index and differences between groups was done by SPSS. Results: Serum adiponectin levels in the| normal healthy group (NH group) were significantly higher than those in the newly diagnosed untreated just-obesity group (JO group), and negatively correlated with the visceral adiposity index. With multiple linear egression analysis, it was found that, for serum adiponectin, gender, serum albumin (ALB), alanine aminotransferase (ALT) and high-density lipoprotein cholesterol (HDLC) were the significant independent correlates, and for SB, age and HDLC were the significant independent correlates, and for DB, alkaline phosphatase (ALP) was the significant independent correlate. The other variables did not reach significance in the model. Conclusions: Our study reveals that adiponectin's role in obesity-hypertension is multifaceted and is influenced by the systemic metabolic homeostasis signaling axis. In obesity-related hypertension, compensatory effects, adiponectin resistance, and reduced adiponectin clearance from impaired kidneys and liver all contribute to the "adiponectin paradox". [ABSTRACT FROM AUTHOR]

Background: Obesity refers to a significant contributor to the development of obstructive sleep apnea (OSA). Early prediction of OSA usually leads to better treatment outcomes, and this study aims to employ novel metabolic markers, visceral adiposity index (VAI), and lipid accumulation product (LAP) to evaluate the relationship to OSA. Methods: The data used in the current cross-sectional investigation are from the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2015 and 2018. To examine the correlation between LAP and VAI levels and OSA, multivariate logistic regression analysis was adopted. In addition, various analytical methods were applied, including subgroup analysis, smooth curve fitting, and threshold effect analysis. Results: Among totally 3932 participants, 1934 were included in the OSA group. The median (Q1-Q3) values of LAP and VAI for the participants were 40.25 (21.51–68.26) and 1.27 (0.75–2.21), respectively. Logistic regression studies indicated a positive correlation between LAP, VAI, and OSA risk after adjusting for potential confounding variables. Subgroup analysis revealed a stronger correlation between LAP, VAI levels, and OSA among individuals aged < 60 years. Through smooth curve fitting, specific saturation effects of LAP, VAI, and BMD were identified, with inflection points at 65.684 and 0.428, respectively. Conclusion: This study demonstrates that elevated levels of LAP and VAI increase the risk of OSA, suggesting their potential as predictive markers for OSA and advocating for dietary and exercise interventions to mitigate OSA risk in individuals with high LAP and VAI levels. [ABSTRACT FROM AUTHOR]

Objective: Metabolic phenotypes associated with high cardiovascular risk have been described. The visceral adiposity index (VAI) is a simple indicator of increased visceral adipose tissue using anthropometric and lipid parameters. The role of the VAI score was analyzed to identify metabolic phenotypes. Methods: The clinical and biochemical parameters and anthropometric measurements of 200 sexmatched patients were retrospectively reviewed. The study population was grouped into 4 groups according to their body mass index and metabolic syndrome criteria: metabolically healthy obese (MHO), metabolically unhealthy obese (MUHO), metabolically unhealthy nonobese (MUHNO), and metabolically healthy nonobese (MHNO). The patient’s VAI scores were calculated. Results: The VAI scores of the MUHNO group were greater than those of the MUHO and MHNO groups in males. The VAI scores of the MHO group were lower than the MUHO and MHNO groups in females. Waist circumference predicted the MUHNO group from the healthy group in men and the MHNO group from the unhealthy group in females. A VAI score higher than 5.69 and WC higher than 93 cm were described as the cutoff points to identify the MUHNO patients among the study population in males. A VAI score lower than 4.89 and WC lower than 90 cm as the cutoff point to identify the MHO patients from the unhealthy group were described in females. Conclusion: The VAI score is a simple technique for defining individuals with high cardiovascular risk, although it may not describe all unhealthy patients. Waist circumference is still an important factor for predicting an unhealthy cardiovascular profile. [ABSTRACT FROM AUTHOR]

Systemic sclerosis (SSc) is an autoimmune disease characterized by systemic inflammation, endothelial dysfunction, generalized fibrosis and high cardiovascular mortality. The evaluation of cardiovascular risk through the visceral adiposity index (VAI) has been helpful due to its direct relationship to the body and visceral fat percentage. We evaluated the influence of body composition and anthropometrics on cardiovascular risk as measured by VAI in healthy controls (HC) and SSc. An analytical cross-sectional study of 66 participants (33 SSc and 33 HC), mean age 52.7 ± 10, 95% women, was conducted from August 2020 to January 2021. Inclusion criteria in cases were consecutive patients with SSc (ACR/EULAR 2013), 63.6% were diffuse cutaneous (dcSS) subtype, and 36.4 were limited cutaneous (lcSS) subtype. HC was matched by age and gender. Serum lipid profiles and InBody anthropometrics were analyzed and compared. We performed descriptive statistics, bivariate analysis with Student's t, or Mann–Whitney U, correlation and chi-square according to the variable type and distribution. Total cholesterol was significantly higher in SSc than HC (345 vs 194, p = < 0.001). The BMI was higher in HC (26.2 vs 28.9, p < 0.001). Kilograms of muscle (19.8 vs 28.9, p < 0.001) and total fat (23.4 vs 28.9, p < 0.001) were lower in SSc patients compared to HC. VAI was similar when BMI < 25, but significantly higher when BMI > 25 in SSc than in HC (3 vs 1.9, p = 0.030). The increase in BMI at overweight or obese in SSc is associated with a significant increase in cardiovascular risk. [ABSTRACT FROM AUTHOR]

Considering the positive association between visceral adiposity index (VAI) and type 2 diabetes mellitus (T2DM), no comprehensive assessment on the summarized and dose–response relationship between VAI and T2DM has yet been reported. Therefore, we performed a meta-analysis, including dose–response analysis, to quantitively elucidate this association. MEDLINE via PubMed and Embase databases were searched for relevant articles up to December 14, 2021. Random-effects generalized least squares regression models were used to assess the quantitative association between VAI and T2DM risk across studies. Restricted cubic splines were used to model the dose–response association. A total of 9 prospective cohort studies and 5 cross sectional studies were included in our review. Based on the meta-analysis, the pooled RR of T2DM was 2.05 (95% CI 1.74–2.41) for the highest versus reference VAI category. We found that the risk of T2DM was increased by 44% (RR, 1.44; 95% CI, 1.23–1.68) with each 1-unit increment of VAI. While, we found no evidence of a nonlinear dose–response association of VAI and T2DM (P non-linearity = 0.428). With the linear cubic spline model, when compared to population with VAI at 0.6, for those with VAI at 2.0, the risk of T2DM was increased by 81% (RR, 1.81; 95% CI 1.55–2.12). Our meta-analysis provides quantitative data suggesting that VAI is associated with an increased risk of T2DM. Public health strategies focusing on weight loss among obesity, especially the people characterized by the thin-on-the-outside--fat-on-the-inside phenotype could possibly reduce a substantial risk of T2DM. PROSPERO CRD42022372666. • The shapes of the associations between VAI and T2DM were identified by almost all available studies. • VAI had a strong positive linear association with T2DM whether analysis of cohort studies or cross-sectional studies. • Management of weight loss among the people characterized by the higher VAI may decrease the risk of T2DM. [ABSTRACT FROM AUTHOR]

Background: Cardiometabolic multimorbidity (CMM) has emerged as a prominent public health concern. Hypertensive patients are prone to develop comorbidities. Moreover, the accumulation of visceral adipose tissue is the main cause for the development of cardiometabolic diseases. The cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and Chinese visceral adiposity index (CVAI) not only assess adipose tissue mass but also reflect adipose tissue dysfunction. So far, no study has been reported to evaluate the association of CMI, LAP, VAI, and CVAI with CMM risk in hypertensive patients. Therefore, this study aimed to assess the association between these adiposity indicators and the risk of CMM among Chinese hypertensive patients. Methods: In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM. Results: After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis. Conclusion: This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients. [ABSTRACT FROM AUTHOR]

Abstract Background Females are generally less prone to cardiovascular (CV) events than males, but this protection is trumped by diabetes. The mechanism behind the increased relative risk in females with diabetes is not fully understood. Insulin resistance (IR) is suggested to be a more important contributor to CV morbidity in females than in males. We aim to investigate differences in the association between IR indexes (Homeostatic Model Assessment of IR - HOMA-IR, visceral adiposity index – VAI, and triglycerides/high-density lipoprotein-cholesterol - TG/HDL-C index), and a first non-fatal myocardial infarction (MI) across different glycaemic states. Methods IR indexes were calculated in a population with (n = 696) and without (n = 707) a first non-fatal MI, free from known diabetes. MI cases were investigated at least six weeks after the event. All participants were categorized by an oral glucose tolerance test as having normal glucose tolerance, impaired fasting glucose, impaired glucose tolerance, or newly diagnosed diabetes. Comparison of proportion of glycaemic states by sex was tested by chi-square test. The associations between sex, a first non-fatal MI, IR indexes, and traditional CV risk factors were analysed by multivariate logistic regression models. Continuous variables were logarithmically transformed. Results Of the total population 19% were females and 81% males, out of whom 47% and 50% had a first non-fatal MI, respectively. Compared with males, females were older, less often smokers, with lower body mass index and higher total cholesterol and high-density lipoprotein cholesterol levels. The proportion of glycaemic states did not differ between the sexes (p = 0.06). Females were less insulin resistant than males, especially among cases and with normal glucose tolerance. In logistic regression models adjusted for major CV risk factors including sex, the associations between VAI and TG/HDL-C index and a first non-fatal MI remained significant only in females (odds ratios and 95% confidence intervals: 1.7, 1.0-2.9, and 1.9, 1.1–3.4 respectively). Conclusions These results support the assumption that IR indexes based on anthropometrics and lipid panel, i.e., VAI and TG/HDL-C, could be a better measure of IR and CV-predictor for non-fatal MI in females, even without glycaemic perturbations.

Abstract Background The association of prediabetes (Pre-DM) regression and progression with visceral adiposity index (VAI) and adipose tissue dysfunction (ATD) remains to be investigated. Methods The present cohort study was conducted within the framework of the Tehran Lipid and Glucose Study (TLGS) on 1458 Pre-DM cases (aged ≥ 21 years) who were followed for nine years. VAI was estimated based on waist circumference, body mass index, triglycerides, and high-density lipoprotein cholesterol. ATD status (i.e., absent, mild-moderate, and severe) was defined based on the age-stratified cutoff values of VAI. Multinomial logistic regression models with adjustment of potential confounders were used to estimate the chance of Pre-DM regression to normoglycemia or progression to T2D across ATD status. Results During the study follow-up, 39.0% of the participants developed T2D, and 37.7% returned to normoglycemia. Compared to mild-moderate ATD, Pre-DM subjects with severe ATD had a higher risk of developing T2D by 45% (OR = 1.45, 95% CI = 11.08–1.93). Severe ATD was also associated with a decreased chance of returning to normoglycemia by 26% (OR = 0.74, 95% CI = 0.55–0.99). Participants with severe ATD had significantly higher fasting (overall mean = 111, 95% CI = 109–112 vs. 106, 95% CI = 105–108 mg/dL) and 2h-serum glucose (overall mean = 165, 95% CI = 161–168 vs. 153, 95% CI = 149–156 mg/dL) concentrations over time. Conclusion Severe ATD was associated with an elevated risk of developing T2D and longitudinal poor-glycemic controls in Pre-DM subjects. ATD may be a simple and useful index for detecting subjects at a higher risk of Pre-DM progression to T2D, allowing for timely intervention strategies.

Background/Objectives: Steelworkers are more likely to have a higher prevalence of hyperuricemia due to their exposure to special occupational factors and dietary habits. The interrelationships of visceral adiposity index (VAI), hyperuricemia, and drinking tea remain uncertain. This study aimed to assess the association between VAI and hyperuricemia among steelworkers, and if drinking tea modified this association. Methods: A total of 9928 steelworkers from Hunan Hualing Xiangtan Iron and Steel Company participated in this cross-sectional study. All participants completed a questionnaire, received anthropometric measurements, and provided blood samples for biochemical testing. Three logistic regression models were used to analyze the association between VAI and hyperuricemia. Results: In this study, the prevalence of hyperuricemia was approximately 23.74% (males: 24.41%; females: 20.63%), and a positive correlation between VAI and hyperuricemia risk was observed. In multivariate logistic regression analysis, the risk of hyperuricemia increased 1.76 times (95% CI: 1.64–1.89) and 2.13 times (95% CI: 1.76–2.57) with the increase of ln VAI in males and females, respectively. For males, compared to quartile 1, the risk of hyperuricemia in the second, third, and fourth quartile of VAI were 1.75 (95% CI: 1.11–2.71), 2.56 (95% CI: 1.67–3.93) and 4.89 (95% CI: 3.22–7.43). For females, compared to quartile 1, the risk of hyperuricemia in the second, third, and fourth quartile of VAI were 1.99 (95% CI: 1.40–2.82), 2.92 (95% CI: 1.96–4.34) and 4.51 (95% CI: 2.89–7.02). Additionally, our study found that, compared with not consuming tea, drinking tea could reduce uric acid levels by 0.014 in male steelworkers (t = −2.051, p = 0.040), 0.020 in workers consuming smoked food (t = −2.569, p = 0.010), and 0.022 in workers consuming pickled food (t = −2.764, p = 0.006). Conclusions: In conclusion, VAI is positively correlated with hyperuricemia in steelworkers. Drinking tea may lower uric acid levels in male steelworkers and steelworkers who prefer smoked and pickled foods.

OBJECTIVE: Adipose tissue is the largest endocrine organ in the human body, and as its mass changes, the serum levels of the molecules it secretes also change. Visceral adipose tissue index (VAI) is a simple surrogate marker of visceral adipose tissue dysfunction. This study evaluated the effects of changes in fat mass on adipocytokine behavior and VAI in patients with anorexia nervosa (AN) and extreme obesity (EO). PATIENTS AND METHODS: The study group consisted of three subgroups: Group 1, patients with EO who were candidates for obesity surgery with BMI≥50 kg/m² (n=20). G roup 2, n ewly diagnosed patients with AN (n=12). Group 3 controls with BMI 20-25 kg/m² (n=20). The AN and EO groups were followed until at least a 10% weight change before and after the intervention. RESULTS: Prior to the intervention, EO patients exhibited the lowest levels of apelin, omentin, and adiponectin, while AN patients demonstrated the highest levels of these markers. Leptin and IL-6 were elevated in EO and reduced in AN patients. After treatment, all adipokines and VAI increased in AN patients, and omentin, adiponectin, and IL-6 increased in EO patients, while apelin, leptin, and VAI decreased. The change in each adipocytokine (Δ) was positively correlated with the other adipocytokines (p<0.050) and negatively correlated with metabolic and VAI changes (p<0.050). The regression analysis determined that the following variables were associated with the change in adipose tissue mass: Δapelin (OR: 1.061; p=0.028) and Δadiponectin (OR: 1.057; p=0.036). CONCLUSIONS: In individuals with pathological adipocyte mass, the change in adipocytokine levels in response to weight change is not as expected. The fact that these changes are not seen in the early period of the weight intervention treatment indicates that these patients have compensatory physiological mechanisms to protect them. In addition, using VAI instead of BMI, whose reliability is increasingly questioned because it does not reflect body fat mass, can be considered an alternative. However, there may be modeling errors in the early stages of weight change and in AN and EO patients where metabolic parameters reach extreme values. Therefore, it should be tested in studies where larger patient groups are followed for a more extended period. ClinicalTrials gov ID: NCT04663919. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background and aims: The Visceral Adiposity Index (VAI) is a straightforward and gender-specific marker that combines anthropometric measurements with lipid profiles. The objective of this study was to evaluate the relationship between VAI and coronary heart disease (CHD). Methods and results: The study examined data collected from adults during the NHANES 1999-2018 cycle. The analyses were weighted, and multivariable logistic regression models were employed to investigate the association between VAI and CHD. Additionally, subgroup analyses stratified by age were conducted. To evaluate the impact of VAI levels on survival outcomes, the study utilized the Kaplan-Meier method and performed the log-rank test to evaluate the survival outcome of participants with different VAI levels. The study findings revealed a significant association between VAI and CHD, indicating a non-linear relationship where an increase in VAI was associated with an elevated risk of CHD. High levels of VAI were linked to an increased prevalence of CHD (Q4 vs Q1, OR 1.50, 95% CI 1.12-2.01, P=0.01). Additionally, higher levels of VAI were associated with a poorer overall prognosis in terms of survival outcomes. There were no statistically significant differences in survival outcomes among the population with CHD. Conclusion: The results of this study highlighted a significant association between VAI and CHD, with a non-linear relationship observed. High VAI levels were associated with an increased risk of CHD and poor survival outcomes, emphasizing the importance of understanding and managing this risk factor, particularly in older age groups. [ABSTRACT FROM AUTHOR]

Background: There is insufficient attention to hypogonadism in Chinese males with type 2 diabetes mellitus (T2DM). We evaluated the relationship between Combined obesity- and lipid-related indices [Visceral Adiposity Index (VAI), Chinese Visceral Adiposity Index (CVAI), Triglyceride Glucose Index (TyG) and Lipid Accumulation Product (LAP)] with total testosterone (TT) and analyzed the predictive capability of the respective cut-off values. Methods: We recruited 958 hospitalized male patients with T2DM at the Affiliated Hospital of Qingdao University, collected baseline data and four calculated indices, and obtained their dominance ratio (OR) and corresponding 95% confidence intervals (CI) with TT by multivariate logistic regression. Receiver operating characteristic (ROC) curves were then used to determine cutoff values in predicting hypogonadism (TT< 12 nmol/L), and we also analyzed the combinations between the different indices. Results: VAI, CVAI, TyG, and LAP all have satisfactory predictive capabilities. The test capability (sensitivity and specificity) of all four indices was better or not worse than that of body mass index (BMI), homeostasis model assessment of insulin resistance (HOMA-IR) and waist circumference (WC). All four indices were effective predictors of hypogonadism at their respective cutoff values (VAI = 2.284, CVAI = 145.779, TyG = 4.308, and LAP = 59.850). Of these, LAP had the largest area under the curve (AUC, AUC = 0.852, Std. Error = 0.014, 95% CI = 0.818-0.873). However, the predictive capability of the combined indices was not significantly improved over the individual indices. Conclusions: VAI, CVAI, TyG, and LAP are sensitive indices for predicting hypogonadism in Chinese male patients with T2DM. Considering the need for concise and accurate indices in clinical practice, we suggest LAP as a commonly used index. [ABSTRACT FROM AUTHOR]

Background: Females are generally less prone to cardiovascular (CV) events than males, but this protection is trumped by diabetes. The mechanism behind the increased relative risk in females with diabetes is not fully understood. Insulin resistance (IR) is suggested to be a more important contributor to CV morbidity in females than in males. We aim to investigate differences in the association between IR indexes (Homeostatic Model Assessment of IR - HOMA-IR, visceral adiposity index – VAI, and triglycerides/high-density lipoprotein-cholesterol - TG/HDL-C index), and a first non-fatal myocardial infarction (MI) across different glycaemic states. Methods: IR indexes were calculated in a population with (n = 696) and without (n = 707) a first non-fatal MI, free from known diabetes. MI cases were investigated at least six weeks after the event. All participants were categorized by an oral glucose tolerance test as having normal glucose tolerance, impaired fasting glucose, impaired glucose tolerance, or newly diagnosed diabetes. Comparison of proportion of glycaemic states by sex was tested by chi-square test. The associations between sex, a first non-fatal MI, IR indexes, and traditional CV risk factors were analysed by multivariate logistic regression models. Continuous variables were logarithmically transformed. Results: Of the total population 19% were females and 81% males, out of whom 47% and 50% had a first non-fatal MI, respectively. Compared with males, females were older, less often smokers, with lower body mass index and higher total cholesterol and high-density lipoprotein cholesterol levels. The proportion of glycaemic states did not differ between the sexes (p = 0.06). Females were less insulin resistant than males, especially among cases and with normal glucose tolerance. In logistic regression models adjusted for major CV risk factors including sex, the associations between VAI and TG/HDL-C index and a first non-fatal MI remained significant only in females (odds ratios and 95% confidence intervals: 1.7, 1.0-2.9, and 1.9, 1.1–3.4 respectively). Conclusions: These results support the assumption that IR indexes based on anthropometrics and lipid panel, i.e., VAI and TG/HDL-C, could be a better measure of IR and CV-predictor for non-fatal MI in females, even without glycaemic perturbations. [ABSTRACT FROM AUTHOR]

Background: The association of prediabetes (Pre-DM) regression and progression with visceral adiposity index (VAI) and adipose tissue dysfunction (ATD) remains to be investigated. Methods: The present cohort study was conducted within the framework of the Tehran Lipid and Glucose Study (TLGS) on 1458 Pre-DM cases (aged ≥ 21 years) who were followed for nine years. VAI was estimated based on waist circumference, body mass index, triglycerides, and high-density lipoprotein cholesterol. ATD status (i.e., absent, mild-moderate, and severe) was defined based on the age-stratified cutoff values of VAI. Multinomial logistic regression models with adjustment of potential confounders were used to estimate the chance of Pre-DM regression to normoglycemia or progression to T2D across ATD status. Results: During the study follow-up, 39.0% of the participants developed T2D, and 37.7% returned to normoglycemia. Compared to mild-moderate ATD, Pre-DM subjects with severe ATD had a higher risk of developing T2D by 45% (OR = 1.45, 95% CI = 11.08–1.93). Severe ATD was also associated with a decreased chance of returning to normoglycemia by 26% (OR = 0.74, 95% CI = 0.55–0.99). Participants with severe ATD had significantly higher fasting (overall mean = 111, 95% CI = 109–112 vs. 106, 95% CI = 105–108 mg/dL) and 2h-serum glucose (overall mean = 165, 95% CI = 161–168 vs. 153, 95% CI = 149–156 mg/dL) concentrations over time. Conclusion: Severe ATD was associated with an elevated risk of developing T2D and longitudinal poor-glycemic controls in Pre-DM subjects. ATD may be a simple and useful index for detecting subjects at a higher risk of Pre-DM progression to T2D, allowing for timely intervention strategies. [ABSTRACT FROM AUTHOR]

The aim of this study was to evaluate the association between adiposity indices and the risk of incident diabetes and to compare their predictive ability in non-obese healthy individuals. Population-based cohort study. Data were taken from the NAGALA research study, which enrolled Japanese adults aged 18–79 years. Cox regression was used to evaluate the association between adiposity indices (including waist circumference [WC], waist-to-height ratio [WHtR], lipid accumulation product index [LAP], body roundness index [BRI], visceral adiposity index [VAI] and Chinese visceral adiposity index [CVAI]) and diabetes risk. The performance of the indices for predicting diabetes was explored using area under the receiver operating characteristic curve (AUC). A Chinese community–based population was used for validation. A total of 12,940 healthy Japanese individuals with normal body mass index and glycaemic levels were included and were followed up for a median of 6 years. Multivariable Cox models revealed a positive and significant association between all indices and incident diabetes, with the hazard ratios for the highest quartile of the indices ranging from 1.89 to 2.90 (all P -values < 0.01). A non-linear association between WC, BRI and VAI and a linear association between WHtR, LAP and CVAI and diabetes risk were observed. CVAI, VAI and LAP had comparable ability in predicting diabetes, with the highest AUC being 0.733 for CVAI. Data from 10,830 Chinese individuals confirmed these results. Adiposity indices are associated with incident diabetes in healthy non-obese individuals. Participants in the highest quartile of WC, WHtR, LAP, BRI, VAI and CVAI had an increased risk of developing diabetes. [ABSTRACT FROM AUTHOR]

Background: Polycystic ovary syndrome (PCOS) women are at risk of developing diabetes, cardiovascular disease and metabolic syndrome (MetS) due to insulin resistance (IR) and hyperandrogenism (HA). Both visceral adiposity index (VAI) and lipid accumulation product (LAP) are simple outpatient department‑based metric tools that have been introduced to screen PCOS women who are metabolically unhealthy and are at risk of development of MetS. Aims: The aim of the study was to evaluate VAI and LAP in women with PCOS and to correlate them with metabolic and endocrine markers. The study also assessed these parameters amongst different PCOS phenotypes and determined their usefulness to define metabolically healthy PCOS (MH‑PCOS) and metabolically unhealthy PCOS (MU‑PCOS). Settings and Design: The design of the study was a cross‑sectional study. Materials and Methods: Two hundred PCOS women were included in the study, and all the clinical, anthropometric, hormonal, biochemical and metabolic markers were assessed. The cohort was divided into MH‑PCOS and MU‑PCOS by the modified National Cholesterol Education Programme criteria. VAI and LAP were calculated and correlated with clinical, endocrine and metabolic parameters. Statistical Analysis Used: Univariate and multivariate logistic regression analysis was used to study the independent role of VAI and LAP to predict MetS. Adjusted and unadjusted odds ratios were calculated. Receiver‑operating characteristic (ROC) analysis was done to define cut‑offs in Asian Indian women. Results: VAI and LAP had good ability to correctly discriminate MU‑PCOS from MH‑PCOS (area under the curve [AUC] [95% confidence interval (CI)]: 0.89 [0.82–0.95]) and (AUC [95% CI [0.81–0.92] =0.86) using ROC, respectively. The sensitivity of VAI and LAP corresponding to the optimal cut‑off of ≥2.76 and ≥48.06 (Youden) was 84.09% and 79.55%, respectively. Similarly, the specificity of VAI and LAP was 85.26% and 79.49%, respectively. VAI has a positive predictive value of 61.7% (95% CI [23.7%– 40.3%]) and a negative predictive value of 95% (95% CI [88%–99.1%]). LAP has a positive predictive value of 53% (95% CI [40.3%–65.4%]) and a negative predictive value of 93.3% (95% CI [87.6%–96.9%]). PCOS women having VAI ≥ 2.76 had 19.3 times ([95% CI: 6.50–57.70]) more chance of developing MetS. PCOS women having LAP (≥48.06) have 3.7 times ([95% CI: 1.35–10.60]) more odds. There was no difference between ROC curves of VAI and LAP (P = 0.32). Conclusion: VAI cut‑off ≥ 2.76 and LAP with a cut‑off of ≥ 48.06 may be used as markers for predicting MetS amongst PCOS women. [ABSTRACT FROM AUTHOR]

Background: The association of visceral adiposity with mortality in older adults is conflicting. Whether age influences the predicting ability of visceral adiposity (VAI) for mortality remains unknown. This study uncovered the relationship between age-adjusted visceral adiposity index and mortality through the data of NHANES 2011–2014. Methods: This study obtained data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. The age-adjusted visceral adiposity index (AVAI) scores were expressed as quartiles. Receiver operating characteristics (ROC) curve analysis was also applied to compare the predictive ability for mortality. Multivariate weighted Cox regression models were constructed to explore the association between AVAI and mortality. Kaplan–Meier survival curves were conducted for survival analyses. Smooth curve fittings and two-piecewise linear models were applied to explore the relationships between AVAI and mortality. Results: This study recruited 4281 subjects aged ≥ 18 years from the NHANES 2011–2014. The AUCs of AVAI were 0.82 (0.79, 0.86) and 0.89 (0.85, 0.92) for predicting all-cause mortality and cardiovascular mortality, which were superior to BMI, WC and VAI (all p < 0.05). AVAI is still an independent predictor for mortality adjusted for confounders. The associations of AVAI with all-cause and cardiovascular mortalities were dose-responsive, with higher AVAI scores indicating higher mortality risks. Conclusion: Age significantly improves the ability of VAI for predicting all-cause and cardiovascular mortality. Age-adjusted VAI is independently associated with mortality risk, and thus could be considered a reliable parameter for assessing mortality risk. [ABSTRACT FROM AUTHOR]

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.

Background: 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., Methods: 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 et al. 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., Results: 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., Conclusions: 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., (© 2024 The Author(s). Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)

Background and Aims: Data are limited on whether several easily measured indices serve as effective tools for Cardiovascular disease (CVD) risk assessment in hypertensive patients. This study aimed to assess the associations of metabolic score for insulin resistance (METS-IR), lipid accumulation product (LAP), and visceral adiposity index (VAI) with CVD risk in hypertensive patients., Methods and Results: Our data were drawn from the medical records of primary-care institutions in China. The present study included 306,680 individuals with hypertension attending primary healthcare centers. Cox regression analyses were applied to assess the associations of novel metabolic indicators with the risk of CVD. During a median follow-up of 1.98 years, 5820 participants developed CVD. When comparing with the lowest quartile of the indices, the highest quartile of METS-IR, LAP, and VAI was associated with 1.25-fold (95 % CI: 1.16-1.35), 1.15-fold (95 % CI: 1.05-1.25), and 1.19-fold (95 % CI: 1.10-1.28) risk of CVD after adjusting for potential confounders., Conclusion: This study provided additional evidence that novel metabolic indicators like METS-IR, LAP, and VAI were associated with the risk of CVD. These results suggest that proactive assessment of visceral adiposity and insulin resistance could be helpful for the effective clinical management of the hypertensive population., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Background: The objective of this investigation was to explore the correlation between the visceral adiposity index (VAI) and depression, and to analyze how type 2 diabetes mellitus (T2DM) may influence this relationship., Methods: This study included data of 12,378 participants sourced from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Utilizing multivariate logistic regression and restricted cubic spline (RCS) regression, we examined the correlation between VAI and depression. Additionally, we investigated the interactive and mediating effects of T2DM on the association between VAI and depression., Results: Controlling for all potential confounders, the Ln logarithmic transformation of VAI showed a significant positive correlation with depression [odds ratio (OR) = 1.16, 95 % confidence interval (CI): 1.01-1.35, P = 0.041]. T2DM exhibited a notable interaction effect on the relationship connecting lnVAI and depression (P for interaction = 0.013). Specifically, the T2DM group exhibited a notable positive correlation between lnVAI and depression (OR = 1.46, 95 % CI: 1.17-1.82, P < 0.001), whereas such correlation didn't reach statistical significance within the non-T2DM group. The RCS model revealed a J-shaped nonlinear link between lnVAI and depression, with an inflection point value of 0.052. Mediation analysis indicated that diabetes accounted for 8.0 % of the correlation between lnVAI and depression. Furthermore, sensitivity analysis confirmed the consistency of these findings., Conclusions: A J-shaped nonlinear dose-response relationship was observed between lnVAI and depression among American adults, with a threshold of 0.052. T2DM not only served as a mediator between the two variables but also modified their association., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Obesity correlates with accelerated aging. This study aims to investigate the association between the visceral adiposity index (VAI) and accelerated aging., Methods: Biological aging was evaluated by phenotypic age acceleration (PhenoAgeAccel). Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2010, we employed weighted multivariable logistic regression models, along with subgroup analysis, to examine the association between VAI and PhenoAgeAccel. Moreover, smooth curve fitting was utilized to identify potential nonlinear association, complemented by a two-piece linear regression model to investigate threshold effects., Results: Of the included 11,340 participants aged 20 years and older, the mean (95% CI) age was 46.569 (45.946, 47.191) years, and 49.189% were male. The mean (95% CI) VAI for all participants was 2.176 (2.114, 2.238), and the mean (95% CI) PhenoAgeAccel was -6.306 (-6.618, -5.994) years. In the fully adjusted model, each incremental unit increase of VAI was associated with a 0.312-year increase in PhenoAgeAccel (β = 0.312, 95% CI: 0.217, 0.408). This positive association was more statistically significant among individuals with cancer. Furthermore, a segmented association was observed between VAI and PhenoAgeAccel, with a turning point identified at 10.543. Below this threshold, VAI exhibited a positive correlation with PhenoAgeAccel (β = 0.617, 95% CI: 0.499, 0.735), while beyond it, the association became nonsignificant., Conclusion: This study demonstrated a positive association between VAI and accelerated aging within a nationally representative population. The findings suggest that controlling adiposity may exert anti-aging effects and help prevent aging-related diseases., (Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

• Characteristics differ in different visceral adiposity index (VAI) change patterns. • The risk of cardiovascular disease (CVD) varies in different changes patterns of VAI. • The high-high and the low-high VAI transition group have high risk of CVD. : Visceral obesity and the lifetime risk of cardiovascular disease (CVD) have received increasing attention. However, the relationship between dynamic changes in visceral obesity and CVD has not been studied. We aimed to determine the association of visceral adiposity index (VAI) transition with CVD risk. : A total of 5395 participants were recruited in 2011–2012 and followed up until 2018 from the China Health and Retirement Longitudinal Study. The cut-off value of the VAI was obtained by the receiver-operating characteristic curve. Participants were grouped based on VAI change patterns during the follow-up period (2011—2015): the low-low group, low-high group, high-low group, and high-high group. CVD was defined as a medical diagnosis of heart disease and/or stroke. A Cox proportional hazards model was used to evaluate the correlation between VAI transition and CVD. : Over a median follow-up period of 7 years, 969 participants (17.9 %) developed CVD. VAI change patterns were significantly associated with CVD risk after adjustment for demographic characteristics and risk factors. The high-high group (hazard ratio (HR): 1.65, 95 % confidence interval (CI): 1.39—1.97) and the low-high group (HR: 1.29, 95 % CI: 1.04—1.61) were associated with a higher risk of CVD after adjusting for demographic characteristics and traditional risk factors compared to the low-low group, while the effect in the high-low group was not significant. : VAI transition was significantly associated with the risk of CVD. Monitoring the dynamics of the VAI in public health practice would help prevent CVD. [ABSTRACT FROM AUTHOR]

Background: Lipid 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., Methods: A 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., Results: During 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)., Conclusion: VAI, 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., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Inc.)