Body roundness index is a superior indicator to associate with the cardio‐metabolic risk: evidence from a cross‐sectional study with 17,000 Eastern-China adults

Abstract

Background To investigate the ability of body shape index (ABSI), body roundness index (BRI), waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body adiposity index (BAI) for predicting non-adipose cardio-metabolic risk. Methods A total of 17,360 Chinese subjects aged 18–95 years old who escaped cardiovascular disease (CVD) or diabetes were recruited in the cross-sectional study. Anthropometric and biochemical parameters were assessed. Receiver operating characteristic curve (ROC) and multinomial logistic regression were conducted to examine the association of anthropometric indicators with cardio-metabolic risk factors. Results The mean age of subjects were 53.7(13.1) years, 41.6 % were males. The areas under the curve (AUC) demonstrated that WC, BMI, WHR, WHtR and BRI were able to predict high cardio-metabolic risk (AUC > 0.70). Meanwhile, multinomial logistic regression showed BRI was significantly associated with high cardio-metabolic risk (OR 3.27, 95% CI 3.01–3.55). The optimal cut-off values of BRI for high cardio-metabolic risk were (< 60 y: 3.49 vs. ≥60 y: 3.46) in males and (< 60 y: 3.47 vs. ≥60 y: 3.60) in females. Conclusions WC, BMI WHR, and WHtR were potential obesity indicators in discriminating high cardio-metabolic risk, while BAI or ABSI was not. Moreover, BRI revealed superior predictive capacity and significant association with accumulated cardio-metabolic risk factors.

Weight-to-height ratio and body roundness index are superior indicators to assess cardio-metabolic risks in Chinese children and adolescents: compared with body mass index and a body shape index

“…Our results found that BRI showed good ability in identify clustered CMRFs, while it failed to recognize hyperglycemia in 7-17 age group, and could not distinguish dyslipidemia in two age group. In addition, we noticed that in correlation analysis among anthropometric indicators showed the coefficients between WHtR and BRI were 0.996-0.997 (P<0.001), which means these two indicators are strong correlation, the AUCs for single or clustered CMRFs of WHtR and BRI were exactly same in each age group, and the ROC curves of the two indicators were also completely overlapped, study in adults shows the same ability in screen CMRFs (19,34,35). However, Chang et al (17) found BRI performed better in predicting the presence of left ventricular hypertrophy (LVH) than BMI, WC and WHtR.…”

Multi-stage metabolomics and genetic analyses identified metabolite biomarkers of metabolic syndrome and their genetic determinants

“…External replication was performed using a targeted metabolomics approach in a sub-population of the Zhejiang Metabolic Syndrome Cohort, namely Xiazhi sub-cohort (N=1420). According to the same MetS criterion adopted in the untargeted metabolomics [19], 149 MetS patients and 253 controls were included into the external replication dataset. The detailed sample selection process has been described in the supplementary materials.…”

Earlier antiretroviral initiation is independently associated with better arterial stiffness in children living with perinatally acquired HIV with sustained viral suppression in Mozambique

“…It is possible that newer anthropometric indices such as the body roundness index may have produced a different result. 27 Physical activity and diet were not estimated, and it is possible that inclusion of these metrics may have altered the findings.…”

“…It is possible that newer anthropometric indices such as the body roundness index may have produced a different result. 27 …”