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Background Methods Results Conclusions Obesity indices reflect not only fat mass but also muscle mass and nutritional status in older people. Therefore, they may not accurately reflect prognosis. This study aimed to investigate associations between a body shape index (ABSI), body mass index (BMI), and mortality in the general older population.This nationwide observational longitudinal study included individuals aged between 65 and 74 years who underwent annual health checkups between 2008 and 2014. Exposures of interest were ABSI and BMI, and the primary outcome was all‐cause mortality. Association between the ABSI and BMI quartile (Q1–4) and mortality was assessed using Cox regression analysis. A restricted cubic spline was also used to investigate nonlinear associations. The missing values were imputed using multiple imputation by chained equations.Among 315,215 participants, 5074 died during a median follow‐up period of 42.5 (interquartile range: 26.2–59.3) months. Compared with ABSI Q1, ABSI Q3 and Q4 were associated with increased risk of mortality, with the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of 1.13 (1.05–1.22) and 1.23 (1.13–1.35), respectively. Compared with BMI Q3, BMI Q1 and Q2 were associated with an increased risk of mortality, with aHRs and 95% CIs of 1.51 (1.39–1.65) and 1.12 (1.03–1.22), respectively. The impacts of these indices were greater in male than in female. The heatmap of the aHR for mortality by continuous ABSI and BMI showed that higher ABSI was consistently associated with higher mortality risk regardless of BMI, and that the combination of low BMI and high ABSI was strongly associated with increased mortality risk.High ABSI and low BMI are additively associated with the risk of all‐cause mortality in the general older population in Japan. Combination of ABSI and BMI is useful for evaluating mortality risk in older people. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS) is one of the most significant public health issues worldwide, which increases the risk of various diseases. Epidemiological evidence suggests that newer anthropometric measures, such as a body shape index (ABSI) and body roundness index (BRI) can be used to predict MetS. However, anthropometric measures to predict the risk for MetS should be clarified in each population. Therefore, this study aimed to examine the association between ABSI, BRI, and MetS risk factors among overweight and obese Iranian adults. Methods: This cross-sectional study included 347 overweight and obese individuals [body mass index (BMI) > 25 kg/m2] aged 20–50 years in Tabriz, Iran. Anthropometric measures were assessed, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Additionally, ABSI and BRI were calculated based on the collected data. Blood pressure was measured using standard protocols. Body composition also was measured using body impedance analysis (BIA). Enzymatic-colorimetric methods were used to assess serum glucose and lipids, and enzyme-linked immunosorbent assay (ELISA) kits were used to measure insulin levels. Results: Participants with higher ABSI exhibited significantly higher systolic blood pressure (SBP) (P = 0.001), diastolic blood pressure (DBP) (P = 0.010), and triglyceride (TG) levels (P < 0.001), along with significantly lower high-density lipoprotein cholesterol (HDL-C) levels (P < 0.001). In the crude model, individuals in the highest ABSI tertile (tertile 3) had a higher likelihood of having higher SBP (OR: 1.032; 95% CI: 1.014–1.051) and DBP (OR: 1.33; 95% CI: 1.009–1.058), as well as a significant association with lower HDL-C levels (OR: 0.945; 95% CI: 0.918–0.973). Additionally, both ABSI tertile 2 (OR: 1.005; 95% CI: 1.001–1.008) and tertile 3 (OR: 0.993; 95% CI: 1.003–1.011) were linked to a higher likelihood of having higher TG levels. No significant associations were found between BRI tertiles and MetS risk factors. Conclusion: According to our results, ABSI and BRI are poor predictors of MetS risk variables, in overweight and obese individuals. High ABSI is only slightly linked with high SBP, DBP, and TG and low HDL-C. However, longitudinal and long-term investigations are encouraged to verify the efficacy of these two measures. [ABSTRACT FROM AUTHOR]

Background/Objectives: A Body Shape Index (ABSI), which accounts for waist circumference relative to mass and height, shows a robust association with mortality risk. The present study evaluates the effectiveness of ABSI as a predictor of 10-year all-cause mortality in physically active, non-obese elderly individuals. Methods: This prospective cohort study included 159 volunteers (94 women, aged 60–80 years), recruited in the frame of the "Physical Activity and Nutrition for Great Ageing" (PANGeA) Cross-border Cooperation Program Slovenia–Italy 2007–2013, and followed for 10 years. Baseline characteristics included anthropometric measurements, bioelectrical impedance analysis, and cardiovascular fitness tests (VO2max). Statistical analyses (Cox regression, Kaplan–Meier survival) were conducted to examine the relationship between ABSI and mortality. Results: During the 10-year follow-up, 10 deaths (6.7%) were recorded. ABSI (adjusted for age, smoking, comorbidities, and therapy) was an independent predictor of mortality (hazard ratio = 4.65, p < 0.001). Higher ABSI scores were linked to reduced VO2max (r = −0.190, p = 0.017) and increased systolic blood pressure (r = 0.262, p = 0.001). An ABSI-based predictive model showed strong discriminatory power (AUROC = 0.91). Conclusions: ABSI is a reliable predictor of 10-year mortality in active, non-obese elderly individuals and may improve risk stratification in clinical practice. [ABSTRACT FROM AUTHOR]

Background: The distribution of body fat and metabolic health may contribute to the onset of metabolic syndrome (MetS), but the associations between body fat anthropometric indices (AIs) and mortality in individuals with MetS remain unclear. Methods: Participants aged 18 years or older with MetS were recruited from the NHANES 1999–2018. The body fat anthropometric indices included the a body shape index (ABSI), body roundness index (BRI), cardiometabolic index (CMI), visceral adiposity index (VAI), waist triglyceride index (WTI), lipid accumulation product (LAP), atherogenic index of plasma (AIP), and triglyceride‒glucose (TyG) index. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) criteria. Mortality data were obtained from the National Death Index through December 31, 2019. Results: Data were collected from 8,379 individuals with MetS, with a median follow-up of 8.5 years, of whom 1,698 died from all causes and 568 from the CCD. The random survival forest (RSF) analysis indicated that the ABSI had the strongest predictive power for both all-cause mortality and CCD mortality among the eight body fat AIs. After adjusting for multiple variables, the ABSI was found to be linearly and positively associated with all-cause and CCD mortality in individuals with MetS. Participants in the highest quartile of ABSI had an increased risk of all-cause (HR = 1.773 [1.419–2.215]) and CCD (HR = 1.735 [1.267–2.375]) mortality compared with those in the lowest quartile. Furthermore, the ABSI predicted areas under the curve (AUCs) of 0.735, 0.723, 0.718, and 0.725 for all-cause mortality at 3, 5, 10, and 15 years, respectively, and 0.774, 0.758, 0.725, and 0.715 for CCD mortality, respectively. Conclusion: Among eight body fat AIs, the ABSI exhibited the strongest predictive power for mortality in individuals with MetS. Higher ABSI values significantly increased all-cause mortality and CCD mortality in participants with MetS. [ABSTRACT FROM AUTHOR]

Objective: Predisposing factors of Peyronie’s disease remain controversial. We know that obesity has extremely negative effects on erectile tissue. Therefore, in our study, we aimed to examine the relationship between Peyronie’s disease and the body shape index (ABSI), which is a new parameter for the evaluation of visceral adiposity. Materials and Methods: In this study, 55 healthy volunteers (group-1) and 50 Peyronie’s disease patients (group-2). Age, comorbidities, waist circumference (WC), height, body mass index (BMI), testosterone, fasting glucose, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, International Index of Erectile Function (IIEF), and ABSI scores of all patients were analyzed. In addition, plaque sizes, duration of symptoms, and curvature degrees of patients in group 2 were calculated. Results: The mean ages of group 1 and group 2 were 57.02±8.34 years and 56.02±10.65 years, respectively (p>0.05). Fasting glucose, WC, BMI, and ABSI values were significantly higher in group 2 (p=0.031, p<0.001, p=0.026 and p<0.001). LDL and HDLvalues were similar between both groups (p>0.05). The IIEF score was observed to be lower in group 2 (p<0.001). In terms of ABSI values, the discrimination power of Peyronie’s disease was strong. The cut-off value for the ABSI score was 0.08. For this cut-off point, classification success was determined as 88.0% sensitivity and 80.0% selectivity. Conclusion: ABSI can be a reliable independent risk factor for Peyronie’s disease and a predictor of visceral adiposity. [ABSTRACT FROM AUTHOR]

Abstract Background Metabolic syndrome (MetS) is one of the most significant public health issues worldwide, which increases the risk of various diseases. Epidemiological evidence suggests that newer anthropometric measures, such as a body shape index (ABSI) and body roundness index (BRI) can be used to predict MetS. However, anthropometric measures to predict the risk for MetS should be clarified in each population. Therefore, this study aimed to examine the association between ABSI, BRI, and MetS risk factors among overweight and obese Iranian adults. Methods This cross-sectional study included 347 overweight and obese individuals [body mass index (BMI) > 25 kg/m2] aged 20–50 years in Tabriz, Iran. Anthropometric measures were assessed, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Additionally, ABSI and BRI were calculated based on the collected data. Blood pressure was measured using standard protocols. Body composition also was measured using body impedance analysis (BIA). Enzymatic-colorimetric methods were used to assess serum glucose and lipids, and enzyme-linked immunosorbent assay (ELISA) kits were used to measure insulin levels. Results Participants with higher ABSI exhibited significantly higher systolic blood pressure (SBP) (P = 0.001), diastolic blood pressure (DBP) (P = 0.010), and triglyceride (TG) levels (P

Abstract Research has established a positive association between food insecurity and obesity, typically assessed by body mass index (BMI); However, studies examining the relationship between food insecurity and measures of body fat content and distribution are lacking. The aim of this study was to examine the association between food insecurity and obesity ([BMI] ≥ 30 kg/m2) and body fat indicators assessed by body roundness index ([BRI] > 6.72) and a body shape index ([ABSI] > 0.08). This is a cross-sectional study using NHANES data 2007–2020. Household food security was assessed by U.S. Food Security Survey Module questionnaire. Multivariable-adjusted binary logistic regression analyses were used to calculate odds ratios and 95% CIs. Compared to those with full food security, the adjusted ORs for obesity were 1.28 (95% CI:1.18, 1.39), 1.40 (95% CI:1.28, 1.53), and 1.43 (95% CI:1.30, 1.57) for those with marginal, low and very low food security, respectively. The corresponding ORs for high BRI were, respectively, 1.39 (95% CI:1.26, 1.52), 1.50 (95% CI:1.36, 1.66), and 1.60 (95% CI:1.43, 1.78). Similar results were observed for ABSI. The analyses of BMI suggested a potential sex difference, as significant associations were found in women, but not in men. This study confirms previous evidence of the positive association between food insecurity and obesity among US adults.

Abstract A body Shape index (ABSI), defined as waist circumference (WC)/(body mass index (BMI)2/3 × height1/2), is unique in that the ABSI is positively associated with visceral obesity and is independent of BMI. The ABSI has also been shown to be positively and linearly correlated with the amount of visceral adiposity in the general population and with all-cause and cardiovascular disease (CVD). However, it is uncertain whether ABSI is associated with periodontitis in hypertensive patients. A cross-sectional study of 2,482 hypertensive patients (mean age 65.2 ± 9.1 years) was conducted using the ABSI Z score, periodontitis as a dichotomous variable, the ABSI Z score as a continuous variable, and multiple covariates such as age, gender, and race. The data were analyzed using descriptive statistics, multiple regression model, subgroup analysis with EmpowerStats (version 4.2), and curve transformation plots were generated. In multiple regression model analysis, ABSI Z score showed a significant positive association with periodontitis in the hypertensive population in all three models. When ABSI Z score was divided into low, moderate, and high three groups, we observed that those with the highest ABSI Z score had a 20% increased risk of periodontitis among people with hypertension (OR 1.2; 95% CI 1.0, 1.5; p = 0.046). We used smooth curve fitting to confirm the results and found that these results were still supported, and additional subgroup analyses showed that the positive association between ABSI Z score and periodontitis in hypertensive population was stable and consistent in the general population. The present cross-sectional investigation showed a positive association between ABSI Z score and periodontitis in a hypertensive population.

Abstract Background The distribution of body fat and metabolic health may contribute to the onset of metabolic syndrome (MetS), but the associations between body fat anthropometric indices (AIs) and mortality in individuals with MetS remain unclear. Methods Participants aged 18 years or older with MetS were recruited from the NHANES 1999–2018. The body fat anthropometric indices included the a body shape index (ABSI), body roundness index (BRI), cardiometabolic index (CMI), visceral adiposity index (VAI), waist triglyceride index (WTI), lipid accumulation product (LAP), atherogenic index of plasma (AIP), and triglyceride‒glucose (TyG) index. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) criteria. Mortality data were obtained from the National Death Index through December 31, 2019. Results Data were collected from 8,379 individuals with MetS, with a median follow-up of 8.5 years, of whom 1,698 died from all causes and 568 from the CCD. The random survival forest (RSF) analysis indicated that the ABSI had the strongest predictive power for both all-cause mortality and CCD mortality among the eight body fat AIs. After adjusting for multiple variables, the ABSI was found to be linearly and positively associated with all-cause and CCD mortality in individuals with MetS. Participants in the highest quartile of ABSI had an increased risk of all-cause (HR = 1.773 [1.419–2.215]) and CCD (HR = 1.735 [1.267–2.375]) mortality compared with those in the lowest quartile. Furthermore, the ABSI predicted areas under the curve (AUCs) of 0.735, 0.723, 0.718, and 0.725 for all-cause mortality at 3, 5, 10, and 15 years, respectively, and 0.774, 0.758, 0.725, and 0.715 for CCD mortality, respectively. Conclusion Among eight body fat AIs, the ABSI exhibited the strongest predictive power for mortality in individuals with MetS. Higher ABSI values significantly increased all-cause mortality and CCD mortality in participants with MetS.

Abstract Background The relationship between A Body Shape Index (ABSI) and female infertility is not well understood. ABSI, a novel anthropometric measure, is gaining recognition for its ability to more accurately capture visceral fat characteristics than traditional metrics like BMI. This study aims to explore the association between ABSI and female infertility, considering its potential applications in medical screening and risk assessment. Methods This cross-sectional study analyzed data from the NHANES from 2013 to 2020. Female infertility was assessed through reproductive health questionnaires, and ABSI was calculated using waist circumference, BMI, and height. Weighted logistic regression models and trend tests were used to evaluate the association between ABSI and female infertility. Restricted cubic splines (RCS) were employed to explore potential nonlinear relationships. Subgroup analyses were conducted to examine the consistency of the association across various demographic and health-related factors. Sensitivity analyses were also performed, including the exclusion of participants with missing covariate data, the application of propensity score matching, and restricting the analysis to women aged 20–45 years. Results The study included 3,718 participants, 433 of whom were diagnosed with infertility. Higher ABSI was associated with an increased risk of female infertility (OR = 1.56, 95% CI: 1.21-2.00, P = 0.001), as demonstrated by weighted logistic regression and trend tests. Women in the highest ABSI quartile had a significantly higher prevalence of infertility compared to those in the lowest quartile (OR = 1.73, 95% CI: 1.27–2.37, P = 0.001). RCS curves indicated a linear positive relationship between ABSI and infertility risk, with a critical value at 0.079. Subgroup and sensitivity analyses confirmed the stability of these findings. Conclusion This study demonstrates a positive linear relationship between ABSI and the risk of female infertility. The use of a simple, non-invasive ABSI measurement could facilitate the early identification of high-risk individuals in large-scale screenings, potentially helping to prevent or reduce the incidence of infertility.

Objective: Predisposing factors of Peyronie’s disease remain controversial. We know that obesity has extremely negative effects on erectile tissue. Therefore, in our study, we aimed to examine the relationship between Peyronie’s disease and the body shape index (ABSI), which is a new parameter for the evaluation of visceral adiposity. Materials and Methods: In this study, 55 healthy volunteers (group-1) and 50 Peyronie’s disease patients (group-2). Age, comorbidities, waist circumference (WC), height, body mass index (BMI), testosterone, fasting glucose, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, International Index of Erectile Function (IIEF), and ABSI scores of all patients were analyzed. In addition, plaque sizes, duration of symptoms, and curvature degrees of patients in group 2 were calculated. Results: The mean ages of group 1 and group 2 were 57.02±8.34 years and 56.02±10.65 years, respectively (p>0.05). Fasting glucose, WC, BMI, and ABSI values were significantly higher in group 2 (p=0.031, p0.05). The IIEF score was observed to be lower in group 2 (p

Abstract Purpose Previous studies have suggested that obesity defined by body mass index(BMI) is a protective factor for bone mineral density(BMD), but have overlooked the potential influence of different types of obesity. This study aims to evaluate the correlation between abdominal obesity index A Body Shape Index(ABSI) and adolescent bone density, and analyze the relationship between abdominal obesity and bone metabolism. Methods A total of 1557 adolescent participants were included in NHANES from 2007 to 2018. Calculate the ABSI using a specific formula that takes into account waist circumference and BMI. A weighted multiple linear regression model is used to evaluate the linear correlation between ABSI and BMD. Forest plots are used to analyze the correlations between subgroups, and cubic splines are limited to evaluate the nonlinear correlations and saturation effects between ABSI and BMD. Results After adjusting for confounding factors, there was a significant linear correlation (P

Abstract Purpose This study aimed to assess the relationship between A Body Shape Index (ABSI) and cognitive impairment among older adults in the United States. Methods This cross-sectional study analyzed cognitive function in 2,752 individuals aged 60 and older using data from the 2011–2014 National Health and Nutrition Examination Survey (NHANES). Cognitive assessments were conducted using the Immediate Recall Test (IRT), Delayed Recall Test (DRT), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). A Body Shape Index (ABSI) was calculated from waist circumference (WC), weight, and height. The relationship between ABSI and cognitive outcomes was examined through multifactorial linear regression, smooth curve fitting, and subgroup and interaction analyses. Results With complete data, 2752 persons 60 and older participated in the study. After adjusting for covariables, these results showed statistically significant negative relationships between ABSI, IRT, and DSST scores. The negative correlation between DSST and ABSI is more substantial in males than females. There is less of a negative link between ABSI, AFT, and DSST among drinkers who consume 12 or more drinks annually compared to those who consume less. Furthermore, compared to individuals without high blood pressure(HBP), those who suffered HBP showed a more significant negative connection between ABSI and AFT. Conclusion Lower cognitive function was linked to higher ABSI.

Purpose: This study aimed to assess the relationship between A Body Shape Index (ABSI) and cognitive impairment among older adults in the United States. Methods: This cross-sectional study analyzed cognitive function in 2,752 individuals aged 60 and older using data from the 2011–2014 National Health and Nutrition Examination Survey (NHANES). Cognitive assessments were conducted using the Immediate Recall Test (IRT), Delayed Recall Test (DRT), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). A Body Shape Index (ABSI) was calculated from waist circumference (WC), weight, and height. The relationship between ABSI and cognitive outcomes was examined through multifactorial linear regression, smooth curve fitting, and subgroup and interaction analyses. Results: With complete data, 2752 persons 60 and older participated in the study. After adjusting for covariables, these results showed statistically significant negative relationships between ABSI, IRT, and DSST scores. The negative correlation between DSST and ABSI is more substantial in males than females. There is less of a negative link between ABSI, AFT, and DSST among drinkers who consume 12 or more drinks annually compared to those who consume less. Furthermore, compared to individuals without high blood pressure(HBP), those who suffered HBP showed a more significant negative connection between ABSI and AFT. Conclusion: Lower cognitive function was linked to higher ABSI. [ABSTRACT FROM AUTHOR]

Objective: Abdominal obesity, especially visceral fat, may have negative effects on the development and progression of prostate cancer (PCa). A body shape index (ABSI) can more accurately measure visceral fat accumulation. This study aimed to investigate the association between ABSI and PCa in US adults. Methods: 11,013 participants were enrolled in the National Health and Nutrition Examination Survey from 2001 to 2018. Weighted multivariate logistic regression analyses were employed to explore the independent relationship between ABSI and PCa. Moreover, restricted cubic spline (RCS) analysis, subgroup analysis, and interaction tests were performed. Results: ABSI was positively associated with the presence of PCa. When comparing the second, third, and fourth ABSI quartile to the lowest quartile, the adjusted odds ratios (95% confidence intervals) for PCa risk were 1.34 (0.77, 2.31), 1.75 (1.03, 3.00), and 1.91 (1.12, 3.27), respectively (p for trend = 0.011). The restricted cubic spline regression analysis did not reveal a non-linear correlation between ABSI and PCa (p for non-linearity = 0.076). Subgroup analysis showed a significant interaction effect in subgroups of different BMI (p for interaction = 0.01). Conclusions: Elevated ABSI is significantly associated with an increased risk of PCa, particularly among individuals who are under/normal weighted or obese. [ABSTRACT FROM AUTHOR]

ObjectiveThis study examines the relationship between several anthropometric indices-Body Roundness Index (BRI), A Body Shape Index (ABSI), Waist-to-Weight Index (WWI), Waist Circumference (WC), and Body Mass Index (BMI)-and the prevalence of Obstructive Sleep Apnea (OSA) using data from the National Health and Nutrition Examination Survey (NHANES) spanning 2015 to 2018.MethodsA retrospective cross-sectional analysis of 7,004 adult participants was conducted using NHANES 2015–2018 data. Multivariable-adjusted logistic regression models were employed to assess the association between BRI, ABSI, and OSA. Non-linear relationships were explored via smooth curve fitting and threshold effect analysis using a two-part linear regression model. Subgroup analyses identified sensitive populations, and the discriminatory power of the indices in screening OSA was assessed using Receiver Operating Characteristic (ROC) curves.ResultsThe analysis revealed a significant positive association between BRI and OSA, with a threshold effect observed at a BRI of 4.3. Below this threshold, OSA risk increased with higher BRI; however, no significant association was found above this threshold. Similarly, ABSI demonstrated a threshold effect at 8.2, with OSA risk positively associated to the left and negatively associated to the right. Subgroup analyses indicated stronger associations in younger and non-diabetic populations. ROC analysis identified BRI as a promising predictive tool for OSA, with an AUC of 0.64 (95% CI: 0.62–0.65).ConclusionBRI demonstrates significant potential as a predictive index for OSA incidence, warranting further large-scale prospective studies to validate these findings.

A body shape index (ABSI) is a novel anthropometric index derived by specific algorithms based on measurements of height, weight, and waist circumference. Central obesity has become more important for predicting the occurrence and mortality of cardiovascular events with the increasing number of overweight and obese people. Obesity contributes to the development of cardiovascular diseases such as atherosclerosis, hypertension, coronary heart disease and even death by stimulating the production of inflammatory factors that induce chronic inflammatory responses, insulin resistance, metabolic disorders and oxidative stress pathways. ABSI is strongly related to abdominal obesity and can predict atherosclerosis in some populations, but it is also affected by population characteristics, such as the difference in the correlation between ABSI and atherosclerosis in populations of different regions, genders and ages. It is of great significance for early identification of high-risk populations and rational prevention and treatment of cardiovascular diseases to clarify the relationship between ABSI and atherosclerosis.

Abstract Background The purpose of this study was to investigate the correlation between novel anthropometric indices, specifically the body shape index (ABSI) and body roundness index (BRI), and the prevalence of kidney stone disease (KSD) within the general population of the United States (U.S.). Methods This study employed a cross-sectional analysis of participants in the National Health and Nutrition Examination Survey from 2007 to 2020. Various statistical methods, including multivariable logistic regression analysis, restricted cubic spline (RCS) plot curve, receiver operating characteristic (ROC) curves, and subgroup analysis, were utilized to examine the association between ABSI and BRI and the risk of KSD. Results A total of 39,251 individuals were included in the study. First, the RCS plot presented that a linear positive association was found between ABSI and BRI and KSD risk. Second, the results of the multivariable logistic regression analysis revealed that, compared to the lowest quartile, the adjusted odds ratios (with 95% confidence intervals) for the prevalence of KSD across the quartiles of ASBI and BRI were 0.94 (0.67, 1.30), 1.55 (1.15, 2.10), and 1.74 (1.28, 2.35), respectively, in the fully adjusted model. Third, the ROC curve demonstrated that the area under the curve of ABSI, and BRI was significantly higher than traditional anthropometry or body composition measures, including BMI and waist circumference. Conclusions The findings of our study indicate that the discriminant ability of ABSI and BRI for KSD is significantly superior to that of BMI and waist circumference. Consequently, ABSI and BRI have the potential to more accurately identify an individual’s risk of developing KSD in a clinical setting.

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: The purpose of this study was to investigate the correlation between novel anthropometric indices, specifically the body shape index (ABSI) and body roundness index (BRI), and the prevalence of kidney stone disease (KSD) within the general population of the United States (U.S.). Methods: This study employed a cross-sectional analysis of participants in the National Health and Nutrition Examination Survey from 2007 to 2020. Various statistical methods, including multivariable logistic regression analysis, restricted cubic spline (RCS) plot curve, receiver operating characteristic (ROC) curves, and subgroup analysis, were utilized to examine the association between ABSI and BRI and the risk of KSD. Results: A total of 39,251 individuals were included in the study. First, the RCS plot presented that a linear positive association was found between ABSI and BRI and KSD risk. Second, the results of the multivariable logistic regression analysis revealed that, compared to the lowest quartile, the adjusted odds ratios (with 95% confidence intervals) for the prevalence of KSD across the quartiles of ASBI and BRI were 0.94 (0.67, 1.30), 1.55 (1.15, 2.10), and 1.74 (1.28, 2.35), respectively, in the fully adjusted model. Third, the ROC curve demonstrated that the area under the curve of ABSI, and BRI was significantly higher than traditional anthropometry or body composition measures, including BMI and waist circumference. Conclusions: The findings of our study indicate that the discriminant ability of ABSI and BRI for KSD is significantly superior to that of BMI and waist circumference. Consequently, ABSI and BRI have the potential to more accurately identify an individual's risk of developing KSD in a clinical setting. [ABSTRACT FROM AUTHOR]

Obesity with multiple metabolic syndrome (MetS) components and/or with skeletal muscle loss is at high risk of cardiovascular disease (CVD). This study aimed to clarify the utility of anthropometric indices for identifying patients with overweight/obese at high risk of CVD based on having multiple MetS components and skeletal muscle loss. This cross-sectional study included 188 overweight/obese (BMI ≥25 kg/m2, Japanese patients; 73 men and 115 women, mean age 55.7 years). First, we performed correlation analysis among seven anthropometric indices, body mass index (BMI), percentage body fat, waist circumference (WC), waist-to-hip ratio (WHpR), waist-to-height ratio (WHtR), a body shape index (ABSI), and body roundness index (BRI). Unlike the others, only ABSI was not correlated with BMI. Then, we conducted receiver operating characteristic analysis to assess the predictive abilities of anthropometric indices for having multiple MetS components. WC, WHpR, WHtR, BRI, and ABSI had significant predictive abilities for having multiple MetS components. Furthermore, multiple regression analysis showed that only ABSI had significantly negative associations with all sarcopenia-evaluated indices (skeletal muscle mass index [SMI], handgrip strength [HGS], and muscle quality [MQ]), irrespective of sex and age. Finally, an analysis of covariance showed that the high ABSI group had significantly lower SMI and HGS than the low ABSI group, irrespective of sex and age. ABSI was deemed useful for BMI-independently identifying Japanese patients with overweight/obese at high risk of CVD based on having multiple MetS components and skeletal muscle loss. Clinical trials (the unique trial number and the name of the registry) ID: UMIN000042726. • BMI is limited in identifying patients with obesity at high risk of CVD. • ABSI reduced the high correlation of WC and its similar indices with BMI. • ABSI significantly predicted multiple MetS components. • ABSI was significantly associated with skeletal muscle loss. • ABSI may be useful for identifying patients with obesity at high risk of CVD. [ABSTRACT FROM AUTHOR]

Background: The relationship between novel anthropometric indices, specifically a body shape index (ABSI) and body roundness index (BRI), with abdominal aortic calcification (AAC) or severe AAC (SAAC) is unclear. The aim of our study was therefore to investigate possible relationships between novel anthropometric indices and prevalence of AAC and SAAC. Methods: We obtained U.S. general population data from the National Health and Nutrition Examination Survey between 2013 and 2014. The study used restricted cubic spline (RCS) analysis, multivariable logistic regression modeling, subgroup analysis, and receiver operating characteristic (ROC) curve assessment. We investigated relationships between ABSI or BRI and AAC and SAAC risk. Associations between ABSI or BRI and the degree of AAC were also evaluated using a generalized additive model. Results: The study cohort was comprised of 1062 individuals. The RCS plots revealed a U-shaped curve associating ABSI with AAC risk. A similar trend emerged for SAAC, where the risk initially increased before subsequently decreasing with rising ABSI levels. Additionally, BRI exhibited a positive correlation with both AAC and SAAC risk. As ABSI and BRI values increased, the degree of AAC also increased. In ROC analysis, ABSI displayed a significantly larger area under the curve compared to BRI. Conclusions: ABSI is associated with AAC prevalence following a U-shaped curve. Additionally, BRI is positively correlated with AAC risk. ABSI demonstrates a superior discriminative ability for AAC compared to BRI. Therefore, maintaining an appropriate ABSI and BRI may reduce the prevalence of AAC. [ABSTRACT FROM AUTHOR]

Background: The associations of body fat parameters with arterial stiffness measured by brachial-ankle pulse wave velocity in hypertensive patients were scarce. Methods: This cross-sectional study analyzed 4322 hypertensive adults. The correlations between the anthropometric indexes (body mass index [BMI], waist circumference, waist-tohip ratio [WHR], waist-to-height ratio [WHtR], a body shape index [ABSI], body round index [BRI]) and ba-PWV values were analyzed using multivariable linear regression model. Results: In both sex categories, linear regression models showed that BMI levels were inversely related to baPWV (adjusted-β per SD increase in male: −0.51, 95% CI -0.66 to −0.36, P

Objective: To further evaluate the connection between obesity and Parkinson's disease, we utilized A body shape index which normalizes waist circumference for Body mass index. Derived from the National Health and Nutrition Examination Survey. Methods: Based on National Health and Nutrition Examination Survey data from 2005 to 2018, this study included 31,933 adult participants in total. First, all the participants were divided into the Parkinson's disease group and non-Parkinson's disease group, respectively. Next, according to their quartiles of A body shape index levels, they were further classified into Q1 group (0.058–0.077), Q2 group (0.078–0.081), Q3 group (0.082–0.084), and Q4 group (0.085–0.117). A body shape index was the primary exposure, while Parkinson's disease was the primary outcome. A body shape index is defined by waist circumference divided by Body mass index2/3 × height1/2, and the expected value of waist circumference based on height and weight derived empirically from National Health and Nutrition Examination Survey. Consequently, A body shape index and Parkinson's disease were analyzed through multifactor logistic regression. Results: According to the unadjusted multivariate logistic analysis, the Q4 group had a greater likelihood of acquiring Parkinson's disease than the Q1 group [OR = 4.519, 95% CI: 3.094–6.600; P

Background: Our aim is to evaluate the relationship between prevalence of kidney stones (KS) and novel anthropometric indices (AHIs). Methods: Participants who participated in the KS questionnaire was extracted from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018.A series of covariates were also obtained. The novel AHIs include a body shape index (ABSI) and body roundness index (BRI). Weighted multivariable-adjusted logistic regression was performed to investigate the association of KS with AHIs. Results: After relative covariates were adjusted, a greater risk of KS for each z score increase in ABSI (OR = 1.13, 95%CI 1.05–1.22), and the risk of KS augmented by 19% for every 1 BRI z score added (OR = 1.19, 95%CI 1.11–1.27). The results from subgroup analysis showed that among adults aged 20–39 (OR = 1.31, 95%CI 1.04–1.65), male (OR = 1.14, 95%CI 1.02–1.28), the risk of KS is higher with the increase of each ABSI z score. Raising each BRI z score in those who were male aged 20–39 and 40–59 resulted in a higher risk of KS (aged 20–39: OR = 1.34, 95%CI 1.06–1.69; aged 40–59: OR = 1.29, 95%CI 1.09–1.53). In female aged 40–59, increasing each BRI z score led to a higher risk of KS (OR = 1.23, 95%CI 1.07–1.41). A linear association of ABSI z score with the risk of KS and a non-linear relationship between BRI z score and the risk of KS were discovered. Conclusion: This study found that the novel AHIs was related to the risk of kidney stones, and can be used as important indicators to evaluate the risk of KS. [ABSTRACT FROM AUTHOR]

Polycystic ovary syndrome (PCOS) is one of the most frequent endocrine illnesses, often accompanied by visceral adiposity and metabolic syndrome (MetS). Visceral adiposity is an accurate predictor of MetS and cardiometabolic risk. This study aims to evaluate different anthropometric indices that can be used in PCOS and MetS risk assessment. A total of 66 women with PCOS (50%) and 66 controls (50%) were included, and clinical and biochemical parameters were evaluated. The body mass index (BMI), body shape index (ABSI), body roundness index (BRI), dysfunctional adiposity index (DAI), lipid accumulation (LAP) index, and visceral adiposity index (VAI) were calculated. The means of all indices were higher in the PCOS group (p < 0.05). The marker with the lowest discriminatory ability for PCOS and MetS was ABSI (AUC = 0.762 and AUC = 0.714, respectively, p = 0.000). According to the multivariate logistic regression model, the VAI and WC are strong predictors of PCOS (AUC, 98%; accuracy, 92%; sensitivity, 92%; and specificity, 91%), and WC, LAP index, and BRI are strong predictors of MetS (AUC, 0.95%; accuracy, 86%; sensitivity, 83%; and specificity, 88%). The use of different anthropometric indices in the detection of PCOS and MetS may allow for early diagnosis and treatment, and are simple and cost-effective. [ABSTRACT FROM AUTHOR]

A body shape index (ABSI) is a valuable predictor of mortality in the Western population, but similar evidence in the general Chinese population is limited. This study aims to evaluate the association between the ABSI and all-cause and cardiovascular disease (CVD) mortality in the Chinese population with normal weight. 9046 participants with normal BMI (18.5–24.9 kg/m2) from the China Hypertension Survey were enrolled. The baseline ABSI was calculated as waist circumference/(BMI2/3height1/2). Cox proportional hazards regression was performed to evaluate the association of the ABSI with all-cause and CVD mortality. Over an average follow-up of 5.4 years, 686 all-cause and 215 CVD deaths occurred. A 0.01-unit increment in the ABSI was associated with a 31% greater risk of all-cause mortality (hazard ratio [HR], 1.31; 95% CI: 1.12, 1.48) and CVD mortality (HR, 1.30; 95% CI: 1.08, 1.58). Compared with quartile 1 of the ABSI, the adjusted HRs of all-cause mortality for quartiles 2–4 were, respectively, 1.25 (95% CI: 0.98, 1.59), 1.28 (95% CI: 0.99, 1.67), and 1.54 (95% CI: 1.17, 2.03) (P trend = 0.004), and those of CVD mortality for quartiles 2–4 were, respectively, 1.28 (95% CI: 0.88, 1.83), 1.42 (95% CI: 0.97, 2.08), and 1.45 (95% CI: 0.98, 2.170) (P trend = 0.043). The dose–response analysis showed a linear positive association of the ABSI with all-cause (P nonlinearity = 0.158) and CVD mortality (P nonlinearity = 0.213). The ABSI was positively associated with all-cause and CVD mortality among the general Chinese population with normal BMI. The data suggest that the ABSI may be an effective tool for central fatness for mortality risk assessment. • A body shape index (ABSI) is an independent risk factor for all-cause and cardiovascular mortality in the Chinese population with normal weight. • ABSI was positively correlated with age, waist circumference, and systolic blood pressure but negatively correlated with body mass index. • The positive association between ABSI and all-cause mortality was robust across various subgroups. • Women were included in this study, whereas previous similar studies from China only included men. [ABSTRACT FROM AUTHOR]

Abstract Background Visceral adiposity index (VAI) and a body shape index (ABSI) were newly developed indices for visceral fat mass. Whether they are superior to conventional obesity indices in predicting colorectal cancer (CRC) remains unclear. We examined the associations of VAI and ABSI with CRC risk, and investigated their performance in discriminating CRC risk compared with conventional obesity indices in the Guangzhou Biobank Cohort Study. Methods A total of 28,359 participants aged 50 + years without cancer history at baseline (2003-8) were included. CRC were identified from the Guangzhou Cancer Registry. Cox proportional hazards regression was used to assess the association of obesity indices with the CRC risk. Discriminative abilities of obesity indices were assessed using Harrell’s C-statistic. Results During an average follow-up of 13.9 (standard deviation = 3.6) years, 630 incident CRC cases were recorded. After adjusting for potential confounders, the hazard ratio (95% confidence interval) of incident CRC for per standard deviation increment in VAI, ABSI, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) was 1.04 (0.96, 1.12), 1.13 (1.04, 1.22), 1.08 (1.00, 1.17), 1.15 (1.06, 1.24), 1.16 (1.08, 1.25)and 1.13 (1.04, 1.22), respectively. Similar results for colon cancer were found. However, the associations of obesity indices with risk of rectal cancer were non-significant. All obesity indices showed similar discriminative abilities (C-statistics from 0.640 to 0.645), with WHR showing the highest whilst VAI and BMI the lowest. Conclusions ABSI, but not VAI, was positively associated with a higher risk of CRC. However, ABSI was not superior to the conventional abdominal obesity indices in predicting CRC.

Although recent evidence has revealed that a body shape index (ABSI) is correlated with the incidence of death among different ethnicities, there remains a paucity of studies investigating the impact of ABSI on mortality within the Chinese elderly. Our objective was to ascertain the link between ABSI, as well as its alterations over time, and all-cause mortality among Chinese aged 65 y and above. A total of 3789 participants were enrolled from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Cox regressions and restricted cubic splines were employed to assess the association of ABSI and relative changes with all-cause mortality. When nonlinearity was detected, a restricted cubic spline regression was subsequently conducted to compute hazard ratios and 95% confidence intervals. The median survival time was 46 months, and 1342 individuals (35.4%) were reported to have died. ABSI contributed independently to rising death rates among Chinese old populations according to univariate and multivariate Cox regressions. Statistically significant associations were also found stratified by age, sex, and lifestyle. A U-shaped association of ABSI changes with all-cause mortality (p = 0.027) was observed, indicating that old adults with stable ABSI during the follow-up period experienced the lowest risk of mortality. After multivariable adjustment, participants with a 10% reduction in ABSI changes had an increased 9.4% risk of death, while participants with a 10% rise in ABSI changes had an increased 1.9% risk. ABSI and its changes are predictors for all-cause mortality among the elderly Chinese population, which emphasizes the clinical importance of monitoring ABSI and keeping it stable over time. [ABSTRACT FROM AUTHOR]

Daiji Nagayama,1,2 Tomonori Sugiura,3 Su-Yeon Choi,4 Kohji Shirai5 1Department of Internal Medicine, Nagayama Clinic, Tochigi, Japan; 2Center of Diabetes, Endocrinology and Metabolism, Toho University, Sakura Medical Center, Chiba, Japan; 3Department of Cardiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan; 4Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea; 5Department of Internal Medicine, Mihama Hospital, Chiba, JapanCorrespondence: Daiji Nagayama, Nagayama Clinic, 2-12-22, Tenjin-Cho, Oyama-City, Tochigi, 323-0032, Japan, Tel/Fax +81-285-22-0219, Email deverlast96071@gmail.comAbstract: Obesity has been known to relate to various diseases and metabolic disorders. Since the implication of body shape has been mentioned, obesity can be divided into visceral obesity and subcutaneous obesity. The former is considered the upstream pathophysiology of metabolic syndrome (MetS), and has been emphasized worldwide for the prevention of cardiovascular diseases in the last quarter century. However, some prospective studies have shown that cardiovascular mortality and morbidity are not necessarily higher in patients with MetS compared to those without. Recently, cardio-ankle vascular index (CAVI) has been established as an indicator of arteriosclerosis. This parameter is independent of blood pressure at the measuring time, and reflects systemic arterial stiffness from the aortic origin to the ankle. However, since CAVI is not necessarily high in MetS patients, attempts have been made to clarify this unexpected phenomenon. In several studies, CAVI was found to correlate negatively with body mass index (BMI), and also with waist circumference (WC) which is a widely used representative visceral obesity index. On the other hand, a body shape index (ABSI) is also a visceral obesity index designed to be minimally associated with BMI, and is calculated by dividing WC by an allometric regression of weight and height. Replacing high WC with high ABSI in MetS diagnosis promoted the identification of MetS patients with increased CAVI in cross-sectional studies on Japanese and Korean populations. Additionally, the incidence of MetS diagnosed using high ABSI was associated with significant increase in CAVI after 1 year of observation. Enhanced predictive ability for renal function decline by replacing WC with ABSI in MetS diagnosis was also observed in a longitudinal study in Japanese urban residents. These findings suggest that MetS diagnosis using high ABSI instead of high WC as a visceral obesity index needs to be reconsidered. However, further research is desirable on Caucasian, whose body shape differs slightly from that of Asians.Keywords: CAVI, metabolic syndrome, waist circumference, a body shape index, renal function decline

Evidence regarding the effect of body shape index (ABSI) on mortality is scarce among individuals with diabetes mellitus (DM). Herein, we explored the relationships between ABSI and all-cause and cardiovascular death risks among US individuals with DM. A total of 4657 US adults with DM were enrolled from the National Health and Nutrition Examination Survey (NHANES 2003–2014) who had baseline waist circumference, height, and weight data. ABSI was calculated as W C × w e i g h t − 2 / 3 × h e i g h t 5 / 6 and the survival information of patients was available from recruitment until 2015 utilizing the national death index. We employed Cox proportional hazards models to estimate the association of ABSI with survival. A total of 817 adults with DM died after a median follow-up period of 5.6 years, with an annual all-cause death rate per 1000 person-years of 30.0 [95% CI, 28.0–32.1]. Continuous ABSI z score was positively and significantly associated with all-cause mortality with adjustment for potential confounders (HR = 1.16, 95% CI: 1.06–1.28). ABSI tended to show a higher all-cause and CVD (cardiovascular disease) mortality among men (HR = 1.35, 95% CI: 1.19–1.53 and HR = 1.45, 95% CI: 1.12–1.87, respectively) and patients younger than 60 years (HR = 1.45, 95% CI: 1.16–1.80 and HR = 1.66, 95% CI: 1.09–2.53, respectively). Statistically significant interactions were found between the ABSI and both sex and age for total mortality. Among US adults with DM from NHANES, ABSI exhibited a linear and positive relationship with total and CVD mortality risk, especially in men and younger patients. • ABSI had a linear and positive association with total and cardiovascular mortality in diabetes. • ABSI showed a higher all-cause and cardiovascular mortality risk among men and young patients. • Both sex and age modified the association of ABSI and all-cause mortality. [ABSTRACT FROM AUTHOR]

BackgroundObesity affects body composition and anthropometric measurements. A Body Shape Index (ABSI) and Body Roundness Index (BRI) are reportedly associated with an increased risk of cardiovascular disease. However, the relationship between ABSI, BRI, cardiometabolic factors, and inflammatory elements is not well-elucidated. Therefore, this study sought to examine the mediatory effect of inflammatory markers on the association between ABSI and BRI with cardiometabolic risk factors in overweight and obese women.MethodsThis cross-sectional study was performed on 394 obese and overweight women. The typical food intake of individuals was assessed using a 147-item semi-quantitative Food Frequency Questionnaire (FFQ). Body composition was measured by bioelectrical impedance analysis (BIA). Biochemical parameters, such as inflammatory markers and anthropometric components, were also assessed. For each participant, all measurements were carried out on the same day.ResultThere was a significant positive association between ABSI and AC and CRI.I in subjects with higher ABSI scores before and after adjustment (P < 0.05). In addition, there was a significant positive association between BRI and FBS, TC, TG, AIP, AC, CRI.I, CRI.II, and TyG in participants with higher BRI scores before and after adjustment (P < 0.05). We found that hs-CRP, PAI-1, MCP-1, TGF-β, and Galectin-3 were mediators of these relationships (P < 0.05).ConclusionInflammation can play an important role in the relationship between body shape indices and cardiometabolic risk factors among overweight and obese women.

BackgroundAnthropometric indices of central obesity, waist circumference (WC), conicity index (CI), and a-body shape index (ABSI), are prognostic indicators of cardiovascular (CV) risk. The association of CI and ABSI with other CV risk indices, markers of nutritional status and inflammation, and clinical outcomes in chronic kidney disease (CKD) stage 5 (CKD5) patients was investigated.MethodsIn a cross-sectional study with longitudinal follow up of 203 clinically stable patients with CKD5 (median age 56 years; 68% males, 17% diabetics, 22% with CV disease, and 39% malnourished), we investigated CI and ABSI and their associations with atherogenic index of plasma (AIP), Framingham CV risk score (FRS), Agatston scoring of coronary artery calcium (CAC) and aortic valve calcium (AVC), handgrip strength (HGS), high sensitivity C-reactive protein (hsCRP) and interleukin-6 (IL-6). CV events (CVE) and all-cause mortality during up to 10-years follow up were analyzed by multivariate survival analysis of restricted mean survival time (RMST).ResultsChronic kidney disease patients with middle and highest CI and ABSI tertiles (indicating greater abdominal fat deposition), compared to those with the lowest CI and ABSI tertiles, tended to be older, more often men and diabetic, had significantly higher levels of hsCRP, IL-6, AIP, FRS, CAC and AVC scores. CI and ABSI were positively correlated with CAC, FRS, AIP, hsCRP and IL-6. Both CI and ABSI were negatively correlated with HGS. In age-weighted survival analysis, higher CI and ABSI were associated with higher risk of CVE (Wald test = 4.92, p = 0.027; Wald test = 4.95, p = 0.026, respectively) and all-cause mortality (Wald test = 5.24, p = 0.022; Wald test = 5.19, p = 0.023, respectively). In RMST analysis, low vs. high and middle tertiles of CI and ABSI associated with prolonged CVE-free time and death-free time, and these differences between groups increased over time.ConclusionAbdominal fat deposit indices, CI and ABSI, predicted CV outcomes and all-cause mortality, and were significantly associated with the inflammatory status in CKD patients.

A body shape index (ABSI) is an abdominal obesity index developed based on epidemiological statistics and designed to correlate minimally with body mass index (BMI). We examined the approximation between ABSI and other abdominal obesity indices based on biophysical concepts. The cross-sectional data from 62,514 Japanese urban residents were analyzed. Body adiposity indices comprising BMI, waist circumference (WC), ABSI, conicity index (CI), waist-to-height ratio (WHtR), and WC/BMI ratio were examined. ABSI and CI more strongly correlated with age and arterial stiffness assessed by cardio-ankle vascular index (CAVI) compared to the other indices. The discriminative power for high CAVI (≥9.0) was the strongest for ABSI followed by CI and other indices, in that order. The range and distribution of WC corresponding to the cutoff of ABSI (0.0801), or CI (1.23) seemed reasonable. The correlation between ABSI and CI was the strongest compared to any other combination of indices. CI correlated moderately with BMI, whereas ABSI correlated minimally with BMI. ABSI correlates strongly and approximates closely with CI. Hence, ABSI may be considered to reflect the degree of body shape change from cylindricity to conicity and is currently the only abdominal obesity index not affected by the obesity paradox. [ABSTRACT FROM AUTHOR]

Polycystic ovary syndrome (PCOS) is one of the most frequent endocrine illnesses, often accompanied by visceral adiposity and metabolic syndrome (MetS). Visceral adiposity is an accurate predictor of MetS and cardiometabolic risk. This study aims to evaluate different anthropometric indices that can be used in PCOS and MetS risk assessment. A total of 66 women with PCOS (50%) and 66 controls (50%) were included, and clinical and biochemical parameters were evaluated. The body mass index (BMI), body shape index (ABSI), body roundness index (BRI), dysfunctional adiposity index (DAI), lipid accumulation (LAP) index, and visceral adiposity index (VAI) were calculated. The means of all indices were higher in the PCOS group (p < 0.05). The marker with the lowest discriminatory ability for PCOS and MetS was ABSI (AUC = 0.762 and AUC = 0.714, respectively, p = 0.000). According to the multivariate logistic regression model, the VAI and WC are strong predictors of PCOS (AUC, 98%; accuracy, 92%; sensitivity, 92%; and specificity, 91%), and WC, LAP index, and BRI are strong predictors of MetS (AUC, 0.95%; accuracy, 86%; sensitivity, 83%; and specificity, 88%). The use of different anthropometric indices in the detection of PCOS and MetS may allow for early diagnosis and treatment, and are simple and cost-effective.

Objective To explore the correlation between a body shape index (ABSI) and target organ injury in patients with hypertension. Methods A cross-sectional study was used to collect related clinical indicators of patients with hypertension who were hospitalized in the Department of Cardiology, Daping Hospital, Third Military Medical University from March 2020 to January 2021. ASBI quantile method was used to divide the patients into low ASBI group, medium ASBI group and high ASBI group. Multiple Logistic regression was used to analyze the correlation between ASBI and target organ injury in patients with hypertension. Results A total of 685 patients with hypertensive meeting the inclusion and exclusion criteria were enrolled, of which 445 had target organ damage; 229 cases were in the low ASBI group (ABSI≤0.076), 228 cases were in the medium ASBI group (0.076 < ABSI≤0.078), 228 cases were in the high ASBI group (ABSI > 0.078). The detection rate of left ventricular hypertrophy in the high ASBI group was higher than that in the low ASBI group(27.63% vs. 12.66%, P < 0.001). The detection rates of carotid atherosclerosis, and renal function impairment of the high ASBI group were higher than those of the medium ASBI group(39.04% vs. 26.32%, P=0.015;14.04% vs. 5.26%, P=0.007) and low ASBI group(39.04% vs. 25.76%, P=0.008;14.04% vs. 2.62%, P < 0.001). The multivariate Logistic regression analysis showed that ABSI was associated with increased left ventricular hypertrophy (OR=2.08, 95% CI: 1.24-3.50, P < 0.001) and renal injury (OR=6.47, 95% CI: 2.53-16.54, P < 0.001) in hypertensive patients. Conclusion The increased ABSI is related to the prevalence of left ventricular hypertrophy and renal damage in hypertensive patients.

Abstract Background This study aimed to assess the relationship of a new anthropometric index with left ventricular hypertrophy (LVH) in hypertensive patients among the Han Chinese. Methods The study is a community-based cross-sectional study that included 4639 patients with hypertension and integrated clinical and echocardiographic data. Left ventricular (LV) mass was measured by transthoracic echocardiography. LVH was diagnosed by using the criteria of left ventricular mass indexed (LVMI) over 49.2 g/m2.7 for men and 46.7 g/m2.7 for women. Quartiles of a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), and body mass index (BMI) were used regarding LVH prevalence. The logistic regression model was used to determine the odds ratio (OR) and 95% confidence intervals (CI) of the new anthropometric index and LVH. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive ability of the obesity indices for LVH risk. Results The prevalence of LVH increased across quartiles for ABSI, BRI, BMI, and WC. Comparing the lowest with the highest quartile, adjusted OR (95% CI) for LVH were significantly different for BRI 3.86 (3.12–4.77), BMI 3.54 (2.90–4.31), and WC 2.29 (1.88–2.78). No association was observed for ABSI. According to ROC analysis, the area under the curve (AUC) of BRI was (AUC: 0.653, 95% CI 0.637–0.669), BMI (AUC: 0.628, 95% CI 0.612–0.644), WC (AUC: 0.576, 95% CI 0.559–0.593), ABSI (AUC: 0.499, 95% CI 0.482–0.516). Conclusions This study shows that LVH prevalence increased per quartile across the Han Chinese population with hypertension for ABSI, BRI, BMI, and WC. There is a significant association between BRI and LVH in hypertensive people, while ABSI was not. BRI showed potential for use as an alternative obesity measure in the assessment of LVH.

Introduction: Abdominal obesity as a risk factor for diagnosing metabolic syndrome (MetS) is evaluated using waist circumference (WC), although WC does not necessarily reflect visceral adiposity. This cross-sectional study aimed to clarify whether replacing WC with “A Body Shape Index (ABSI),” an abdominal obesity index, in MetS diagnosis detects individuals with arterial stiffening assessed by cardio-ankle vascular index (CAVI). Methods: A retrospective cross-sectional study was conducted in 46,872 Japanese urban residents (median age 40 years) who underwent health screening. Exclusion criteria were current treatments and a past history of cardiovascular disease (CVD). The Japanese, International Diabetes Federation, and NCEP-ATPIII criteria were used to diagnose MetS. High CAVI was defined as CAVI ≥9.0. Results: CAVI correlated positively with ABSI (β = 0.127), but negatively with WC (β = −0.186), independent of age, sex, systolic blood pressure, fasting plasma glucose, and high-density lipoprotein--cholesterol. Receiver operating characteristic (ROC) analysis showed that ABSI had a stronger contribution to high CAVI (area under the ROC curve [AUC] = 0.730) than WC (AUC = 0.595) and body mass index (AUC = 0.520). ABSI ≥0.080 was defined as abdominal obesity based on the results of ROC analysis for high CAVI and estimated glomerular filtration rate

BackgroundThe association between a body shape index (ABSI) and abdominal aortic calcification (AAC) is still unclear, so we tried to prove the association between ABSI and AAC in the general population in this cross-sectional study.Materials and methodsAfter excluding participants with missing data on height, weight, waist circumference (WC), and AAC, we finally selected 3,140 participants aged 40–80 years from the 2013–2014 National Health and Nutrition Examination Survey. Using multivariate logistic regression and receiver operating characteristic (ROC) curves to test the association between ABSI and AAC.ResultsParticipants (median age: 58.0 years; 48.3% men) were divided into two groups by the optimal cutoff point of ABSI: higher ABSI (> 0.84) and lower ABSI (≤ 0.84). Participants with higher ABSI showed significantly higher proportion of AAC than those with lower ABSI (39.8 vs. 23.7%, P < 0.001). Participants with higher ABSI had an increased risk of developing AAC in crude model (ABSI as a continuous variable: OR = 2.485, 95% CI: 2.099–2.942, P < 0.001; as a categorical variable: OR = 2.132, 95% CI: 1.826–2.489, P < 0.001), and ABSI was still independently associated with AAC in all adjusted models (all P < 0.05). Further subgroup analyses showed that higher ABSI was consistently associated with AAC in subgroups with sex (male or female), age (≤ 65 or > 65 years), smoking history (yes or no), hypertension (yes or no), diabetes (yes or no), sleep disorder (yes or no), body mass index (BMI) (< 23 or ≥ 23 kg/m2), systolic blood pressure (< 140 or ≥ 140 mmHg), diastolic blood pressure (< 90 or ≥ 90 mmHg), fasting plasma glucose (< 126 or ≥ 126 mg/dL), and low-density lipoprotein cholesterol (≤ 130 or > 130 mg/dL) (P for interaction > 0.05). While in other subgroups, the association was no longer synchronized. The ROC showed that the area under the curve of ABSI was significantly higher than height, weight, BMI, WC, and waist-to-height ratio (WHtR).ConclusionHigher ABSI was closely associated with higher risk of AAC, and discriminant ability of ABSI for AAC was significantly higher than height, weight, BMI, WC, and WHtR.

This study investigated the effects of folic acid on obesity and high-sensitivity C-reactive protein (CRP) levels. Using data from the Korea National Health and Nutrition Examination Survey (KNHANES VII 2016–2018), 6394 adults (aged 19–80 years) who met the study criteria were identified and divided into young, middle-aged, and older adult groups. The analysis assessed associations using logistic regression for complex samples. Obesity was measured using body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), and body roundness index (BRI). The odds ratio (OR) of obesity based on BMI were statistically significant for young adults and older participants with low levels of folic acid compared to those with high levels (OR: 1.33 and 1.58, respectively). The OR of obesity based on BMI, WC, WHtR, ABSI, and BRI was significant with low levels of folic acid in middle-aged individuals (OR: 1.36, 1.32, 1.41, 1.29, and 1.47, respectively). Low folate levels were related to higher high-sensitivity CRP levels in middle-aged patients. In conclusion, folate level showed a significant inverse association with obesity and inflammatory biomarkers, especially in the middle-aged group. Further longitudinal or randomized controlled trials are needed to confirm and expand our results. [ABSTRACT FROM AUTHOR]

Context: A Body Shape Index (ABSI) has been reported to have associations with cardiovascular risk factors. However, there is no information on the association between ABSI and incidence of cardiovascular events., Methods: We investigated the associations between ABSI and first major cardiovascular events (death from cardiovascular disease, nonfatal acute coronary syndrome, and nonfatal stroke) in 1857 subjects from the database of Flow-Mediated Dilation Japan registry and from Hiroshima University Vascular Function registry., Results: The areas under the curves of ABSI to predict the first major cardiovascular events were superior to BMI (men: P = .032, women: P = .015) and waist circumference in women (men: P = .078, women: P = .002). The subjects were divided into 2 groups based on the cutoff value of ABSI for predicting first major cardiovascular events: a low ABSI group (<0.0822 in men and <0.0814 in women) and a high ABSI group (≥0.0822 in men and ≥0.0814 in women). During a median follow-up period of 41.6 months, 56 subjects died (23 from cardiovascular causes), 16 had nonfatal acute coronary syndrome, and 14 had nonfatal stroke. The Kaplan-Meier curves for first major cardiovascular events were significantly different between the 2 groups (men, P < .001; women, P < .001). Multivariate analysis revealed that high ABSI remained an independent predictor of first major cardiovascular events (men: hazard ratio, 2.33; 95% CI, 1.07 to 5.06; P = .033; women: hazard ratio, 8.33; 95% CI, 1.06 to 65.49; P = .044)., Conclusion: High ABSI is independently associated with incidence of cardiovascular events. ABSI calculation should be performed for evaluation of risk of cardiovascular events., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)