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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., (© 2024. The Author(s).)

Background: The aim of our research was to examine the association of novel anthropometric indices (a body shape index (ABSI), waist-to-height ratio (WtHR), conicity index (CI) and body roundness index (BRI)) and traditional anthropometric indices (body mass index (BMI), and waist (WC)) with prevalence of kidney stone disease (KSD) in the general population of United States (U.S.)., Methods: In this study, we conducted a cross-sectional analysis among the participants in the National Health and Nutrition Examination Survey between the years 2007 and 2020. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS), receiver operating characteristic (ROC) curves, and subgroup analysis were performed to analyze the association of ABSI, BRI, WtHR, CI, BMI and WC with prevalence of KSD., Results: In total, 11,891 individuals were included in our study. The RCS plot shown that the linear positive association was found between ABSI, BRI, WtHR, CI, BMI and WC and KSD risk. Additionally, the ROC curve demonstrated that the area under the curve of ABSI, BRI, WtHR, and CI was significantly higher than traditional anthropometric indices, including BMI and WC., Conclusions: Our study found that the discriminant ability of ABSI, BRI, WtHR, and CI for KSD was higher than BMI and WC. Consequently, ABSI, BRI, WtHR, and CI have the potential to become new indicators for the detection of KSD risk in clinical practice., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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/m 2.7 for men and 46.7 g/m 2.7 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., (© 2022. The Author(s).)

Background: The study aimed to investigate the association of Body Roundness Index (BRI), A Body Shape Index (ABSI), and Conicity Index with nutritional status and cardiovascular risk factors in South African rural young adults., Methods: The study included a total of 624 young adults aged 21-30 years from the Ellisras rural area. Anthropometric indices, blood pressure (BP), and biochemical measurements were measured., Results: BRI was significantly correlated with insulin (0.252 males, females 0.255), homeostatic model assessment (HOMA)-β (0.250 males, females 0.245), and TG (0.310 males, females 0.216). Conicity Index was significantly associated with pulse rate (PR) (β 0.099, 95% confidence interval (CI) 0.017, 0.143, p < 0.013; β 0.081, 95% CI 0.000 0.130, p < 0.048), insulin (β 0.149, 95% CI 0.286 0.908, p < 0.001; β 0.110, 95% CI 0.123 0.757, p < 0.007). Conicity Index is associated with insulin resistance (IR) (odds ratio (OR) 7.761, 95% CI 5.783 96.442, p < 0.001; OR 4.646, 95% CI 2.792 74.331, p < 0.007), underweight (OR 0.023, 95% CI 0.251 0.433, p < 0.001; OR 0.031, 95% CI 0.411 0.612, p < 0.001), and obesity (OR 1.058, 95% CI 271.5 4.119, p < 0.001; OR 1.271, 95% CI 0.672 1.099, p < 0.001)., Conclusion: Conicity Index was positively associated with insulin resistance, hypertension and dyslipidaemia. Further investigation of these indices and their association with nutritional status and cardiovascular diseases (CVDs) could assist in efforts to prevent CVD in the rural South African population.

Background: Obesity and arterial stiffness are both independently associated with cardiovascular risk. New anthropometric indices can better reflect abdominal obesity than traditional anthropometric indices. Thus, we hypothesized that compared with conventional parameters, these newly developed anthropometric parameters were more accurate to identify arterial stiffness among overweight and obesity population., Methods: Cross-sectional data on socio-demographic, lifestyle, clinical characteristics and biochemical measurements were collected for 1442 Chinese obese and overweight adults. Six anthropometric indices including a body shape index (ABSI), body mass index (BMI), ABSI combined with BMI, body roundness index (BRI), waist circumference and waist-to-hip ratio were calculated. Carotid-femoral pulse wave velocity (cf-PWV) was detected in all subjects. Meanwhile, visceral fat area (VFA) was quantificationally measured by CT. Partial Spearman correlation coefficients were used to clarify the association between anthropometric measures with cf-PWV. Logistic regression analyses were used to identify to the association between anthropometric measures and arterial stiffness., Results: After adjusting for covariates, BRI had the strongest correlation with cf-PWV and VFA in all anthropometric indices. Multivariate regression analysis showed VFA (β = 0.322, p < 0.001) and BRI (β = 0.307, p < 0.001) remained independently associated with cf-PWV. BRI had a highest odds ratios in all anthropometric indices (OR = 1.543, p < 0.001). ABSI only displayed a weak correlation with arterial stiffness. Meanwhile, BRI had the highest area under curve for abnormal cf-PWV, and the optimum cutoff value was a BRI ≥5.4., Conclusion: BRI was found to have a close relationship with arterial stiffness in overweight and obesity people. However, ABSI was weakly correlated with arterial stiffness, but not better than traditional anthropometric indices., (Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Background and Aims: A Body Shape Index (ABSI) and Body Roundness Index (BRI) are two new anthropometric adiposity indices that have shown to be associated better than BMI with adipose abdominal tissue, with the onset of diabetes and the risk of premature death. Little is known about the influence of ABSI and BRI on subclinical vascular damage. The study was aimed to assess the relationship between ABSI and BRI with carotid atherosclerosis damage in subjects with arterial hypertension., Methods and Results: A total of 468 patients with arterial hypertension (30-80 years old) were enrolled; adiposity indices were calculated (BMI, WC, ABSI, BRI) and carotid ultrasonographic examination was performed to detect atherosclerotic damage (IMT or atherosclerotic plaque). BRI, but not ABSI, was higher in subjects with IMT> 0.90 mm in comparison to those with a lower IMT (p < 0.001), whereas patients with carotid plaques showed higher values of ABSI (p = 0.001), as well as of BRI (p = 0.003). Linear regression analysis disclosed significant correlation of IMT with ABSI, BRI and BMI (all p < 0.001). In the multivariate analysis, BRI was independently correlated with cIMT (p = 0.015). On the contrary, ABSI did not show any independent association with cIMT. However, ABSI was strongly associated with carotid plaques in multiple logistic regression analysis after adjustment for potential confounding factors. When BRI or BMI replaced ABSI into the multivariate models, they did not show any independent correlation with carotid plaques., Conclusions: ABSI may be proposed as a better correlate of carotid atherosclerosis than the traditional measures of adiposity., (Copyright © 2019 The Italian Society of Diabetology, 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.)

Objective: We aimed to evaluate the combined effects of a high body shape index (ABSI) and a high serum C-reactive protein (CRP) level on the incidence of ischemic stroke in a Mongolian population in China., Methods: A prospective cohort study was conducted among 2,589 participants from June 2002 to July 2012 in Inner Mongolia, China. The participants were categorized into 4 groups according to their level of ABSI and CRP. Cox proportional hazards models were used to assess the hazard ratios (HRs) and 95% confidence intervals (CIs) for ischemic stroke among all groups., Results: The multivariate adjusted HRs (95% CI) of ischemic stroke for high ABSI and high CRP level were 1.46 (0.89-2.39) and 1.63 (0.95-2.79), respectively. Compared with the low ABSI/low CRP level group, the multivariate adjusted HRs (95% CI) of ischemic stroke in the low ABSI/high CRP, high ABSI/low CRP, and high ABSI/high CRP groups were 1.04 (0.46-2.35), 1.06 (0.58-1.95) and 2.52 (1.27-5.00), respectively. The HR of ischemic stroke for the high ABSI/high CRP level group was the highest and most statistically significant., Conclusion: We found that participants with simultaneously high ABSI and high CRP levels had the highest risk of ischemic stroke in the Mongolian population. Our findings suggest that the combination of high ABSI and high CRP levels may increase the risk of ischemic stroke., (Copyright © 2019 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.)

Aim: Metabolically Healthy Obese (MHO) is called to obese people that their insulin sensitivity, lipid profiles and inflammatory profiles are favorable, and there are no signs of hypertension and cardio-metabolic diseases. The metabolically unhealthy obese (MUHO) is the opposite. A Body Shape Index (ABSI) is a marker to identifying abdominal obesity that is derived from weight, height and waist circumference (WC). Several studies have reported ABSI is associated with diabetes, metabolic syndrome, hypertension and higher mortality rate., Materials and Methods: A total of 305 overweight and obese women were included in the current comparative cross-sectional study. Body composition was measured using body composition analyzer. Blood samples were obtained. The usual food intake of evaluated through the use of a semi-quantitative food frequency questionnaire., Results: The results of this study revealed that there is a significant relationship between ABSI and MHO and MUHO (p = 0.04) and area under the ROC curve was 0.60. Also there is a significant relationship between BMI, fat mass index (FMI), free fat mass index (FFMI), neck circumference (NC), WC, fat mass (FM) and metabolic healthy status (MHS). The largest area under the ROC curve belonged to NC, WC, FM and BMI (0.66)., Conclusion: The findings of this study suggest that there is a significant relationship between ABSI, BMI, FMI, FFMI, NC, WC, FM and MHS. The largest area under the ROC curve was related to the NC, WC, FM and BMI not ABSI, that means NC, WC, FM and BMI have maximum sensitivity and specificity., (Copyright © 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.)

Anthropometric measures are simple, inexpensive, noninvasive tools to assess the risk of morbidity and mortality. This systematic review assessed the performance of A Body Shape Index (ABSI) in predicting hypertension, cardiovascular disease, type 2 diabetes and all-cause mortality and compared the differential predictability between ABSI and two other common anthropometric measures - body mass index and waist circumference. A keyword and reference search were conducted in the PubMed and Web of Science for articles published until 1 November 2017. Thirty-eight studies were included in the review, including 24 retrospective cohort studies and 14 cross-sectional studies conducted in 15 countries. Meta-analysis found that a standard deviation increase in ABSI was associated with an increase in the odds of hypertension by 13% and type 2 diabetes by 35% and an increase in cardiovascular disease risk by 21% and all-cause mortality risk by 55%. ABSI outperformed body mass index and waist circumference in predicting all-cause mortality but underperformed in predicting chronic diseases. ABSI is highly clustered around the mean with a rather small variance, making it difficult to define a clinical cutoff for clinical practice. Future studies are warranted to assess ABSI's potential usefulness as an anthropometric measure in population-level health surveillance., (© 2018 World Obesity Federation.)

Background & Aims: Sarcopenic obesity may be defined by a high fat to fat-free mass (FM/FFM) ratio. Skeletal muscle may be negatively influenced by the pro-inflammatory milieu associated with visceral fat, while the loading effect induced by a heavier body mass index (BMI) may enhance muscle anabolism. Recently, a new anthropometric measure based on waist circumference (A Body Shape Index, ABSI) was developed. In this study we have assessed the predictive power of ABSI on the FFM index (FFMI), a surrogate marker of lean mass., Methods: Standard anthropometric parameters and ABSI as well as body composition data (fat and fat-free mass determined by bioelectrical impedance analysis) were assessed in 111 female and 89 male overweight/obese subjects, with no clinically significant co-morbidities. Groups with higher- or lower-ABSI were identified according to median values of this index., Results: In women and men, ABSI did not correlate with BMI, while multiple linear regression indicated that BMI (β-coefficients: 0.62 and 0.77, respectively) and ABSI (β-coefficients: -0.26 and -0.22, respectively) independently predicted FFMI (multiple R: 0.72 and 0.83, respectively, P < 0.001). Men and women with lower-ABSI exhibited significantly greater FFMI than the higher-ABSI groups for comparable values of BMI. In men, ABSI was correlated positively with C-reactive protein (CRP) (R = 0.30; P < 0.05) and negatively with the reciprocal of insulin (R = 0.28; P < 0.05), an index of insulin sensitivity. FM/FFM ratio significantly (P < 0.01) correlated with CRP (R = 0.31) in women only., Conclusions: ABSI, a recently introduced marker of abdominal adiposity, may contribute to define the risk of sarcopenia in overweight/obese individuals., (Copyright © 2014. Published by Elsevier Ltd.)

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]

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.

Objective: The estimation of fat mass with indirect techniques is beneficial in daily clinical practice. This study aimed to compare new and old body shape indices using bioimpedance analysis for the assessment of body fat mass in obese and morbid obese Turkish females. Material and Methods: Four hundred thirty-eight obese and morbid obese females were enrolled in the study. Anthropometric measurements of the study participants were completed using standard techniques. Body mass index (BMI), body adiposity index (BAI), a body shape index, waist to hip ratio and body roundness index (BRI) were calculated. The body fat ratio was evaluated using TANITA-48M. Results: All the anthropometric indices except waist circumference, waist-to-hip ratio, and ABSI correlated with body fat (%). BMI and BAI were the best predictors of body fat ratio derived from bioimpedance analysis for all participants. Only for obese females, BAI alone as well as BAI and BMI together were the best predictive methods of body fat (%). In the morbid obese group, BAI alone proved to be the best predictive method for body fat (%) estimation. Conclusion: In clinical practice, the determination of body fat ratio with indirect techniques may help physicians estimate the risk of diseases in obese and morbid obese patients. BAI can help estimate body fat ratio easily. [ABSTRACT FROM AUTHOR]

Introduction: Obesity is well recognized to be an important risk factor for hypertension (HTN), but it is not clear which obesity indices have stronger association with HTN. Aim: To evaluate the ability of different obesity indices, including visceral adiposity index (VAI), hypertriglyceridemic-waist (HTGW) phenotype, a body shape index (ABSI), body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR) as possible hypertension (HTN) predictor in a high-risk population. Methods: Seven years follow-up data in first-degree relatives of consecutive patients with type 2 diabetes aged 30-70 years without diabetes and HTN with at least one follow-up examination (n = 1417) were analysed. Discriminatory capabilities were examined using the receiver operating characteristic (ROC) curve. Logistic regression analysis was performed to determine the strength of association between obesity indices and HTN. Results: Among the indices, the highest quintile compared with the lowest quintile of WHtR and WC was more strongly associated with HTN in age and sex adjusted models [odds ratio (95% CI); WHtR: 4.02 (2.36, 6.85) and WC: 3.26 (2.05, 5.20)]. Those with HTGW phenotype was 2.3 (1.54, 3.35) times more likely to develop HTN than those with normal WC normal triglyceride. On ROC curve analysis, WHtR (63.1%; 59.6, 66.7) and WC (61.7%, 58.0, 65.4) had the higher area under the ROC. Conclusions: Although higher values of VAI, BMI, WHR and HTGW were associated with the risk of HTN, WHtR and WC was more strongly associated with the development of HTN, while the ABSI showed weaker association. [ABSTRACT FROM AUTHOR]

Objective: Waist-to-height ratio (WHtR) has been reported to be more strongly associated with cardiometabolic risk factors among non-obese individuals than BMI and waist circumference (WC). A body shape index (ABSI) and body roundness index (BRI) have been proposed recently to assess obesity-related disorders or mortalities. Our aim was to compare the ability of ABSI and BRI with that of WHtR to identify cardiometabolic risk factors in Chinese adults with normal BMI and WC. Design: Receiver-operating characteristic curves and areas under the curve (AUC) were employed to evaluate the ability of the indices (WHtR, BRI, ABSI) to identify metabolic risk factors and to determine the indices' optimal cut-off values. The value of each index that resulted in maximization of the Youden index (sensitivity + specificity - 1) was defined as optimal. Differences in the AUC values between the indices were also evaluated. Setting: Individuals attending a voluntary health check-up in Beijing, China, July-December 2015, were recruited to the study. Subjects: Non-obese adults (n 1596). Results: Among both genders, ABSI exhibited the lowest AUC value for identifying each risk factor among the three indices; the AUC value of BRI for identifying each risk factor was very close to that of WHtR, and no significant differences were observed between the AUC values of the two new indices. Conclusions: When evaluating cardiometabolic risk factors among non-obese adults, WHtR was a simple and effective index in the assessment of cardiometabolic risk factors, BRI could be used as an alternative body index to WHtR, while ABSI could not. [ABSTRACT FROM AUTHOR]