Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta‐analysis

Rico‐Martín, Sergio; Calderón‐García, Julián F.; Sánchez‐Rey, Purificación; Franco‐Antonio, Cristina; Álvarez, Mariana Martínez; Muñoz-Torrero, Juan Francisco Sánchez

doi:10.1111/obr.13023

Cited by 79 publications

(73 citation statements)

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“…Meanwhile, a study with Polish population also showed that BRI had superior ability to predict metabolic syndrome [ 46 ]. Generally, BRI possesses a stable ability to predict cardiometabolic risk and metabolic syndrome even in different ethnic groups, and these results were well determined in our study [ 49 ]. Moreover, Chang et al [ 64 ].…”

Section: Discussionsupporting

confidence: 69%

“…Body roundness index (BRI) was developed to predict both body fat and the percentage of visceral adipose tissue using WC in relation to height, which will estimate the shape of the human body figure as an ellipse [ 4 , 43 , 71 ]. BRI was generally used as an adipose indicator for determining the presence of hyperuricemia, arterial stiffness, CVD, diabetes, dyslipidemia, hypertension, and MetSy [ 7 , 46 , 49 , 51 , 67 , 68 ]. However, BRI was limited in predicting percentage of fat mass in athletes when compared with bio-impedance analysis or skinfold prediction [ 72 ].…”

Section: Discussionmentioning

confidence: 99%

“…However, the traditional anthropometric indices failed to discriminate between fat and muscle mass [ 41 , 42 ]. Recently, body shape index (ABSI) which reflects the body shape using waist circumference (WC), weight, and height and body roundness index (BRI) combines height and WC to predict the percentage of total and regional fat have been developed to overcome the limits of traditional obesity markers [ 33 , 43 – 49 ]. A previous study found the two new indices were associated with abdominal adipose and more associated with cardiometabolic risk, onset of diabetes and premature mortality hazards than BMI and WC [ 4 , 50 , 51 ].…”

Section: Introductionmentioning

confidence: 99%

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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

Zhang

et al. 2021

BMC Cardiovasc Disord

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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.

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Section: Discussionsupporting

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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

Zhang

et al. 2021

BMC Cardiovasc Disord

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“…It is a better predictor of body fat and the percentage of visceral tissue compared with traditional indicators, such as the BMI and WC [29]. The discriminatory power of the BRI in predicting MetS was similar to that of the WC and only slightly lower than that of the WHtR [30]. It was higher than that of the BMI and ABSI in both sexes.…”

Section: Introductionmentioning

confidence: 84%

Anthropometric indices and cut-off points in the diagnosis of metabolic disorders

et al. 2020

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Identifying metabolic disorders at the earliest phase of their development allows for an early intervention and the prevention of serious consequences of diseases. However, it is difficult to determine which of the anthropometric indices of obesity is the best tool for diagnosing metabolic disorders. The aims of this study were to evaluate the usefulness of selected anthropometric indices and to determine optimal cutoff points for the identification of single metabolic disorders that are components of metabolic syndrome (MetS). Design Cross-sectional study. Participants We analyzed the data of 12,328 participants aged 55.7±5.4 years. All participants were of European descent. Primary outcome measure Four MetS components were included: high glucose concentration, high blood triglyceride concentration, low high-density lipoprotein cholesterol concentration, and elevated blood pressure. The following obesity indices were considered: waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), body fat percentage (%BF), Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE), body roundness index (BRI), and a body shape index (ABSI). Results The following indices had the highest discriminatory power for the identification of at least one MetS component: CUN-BAE, BMI, and WC in men (AUC = 0.734, 0.728, and 0.728, respectively) and WHtR, CUN-BAE, and WC in women (AUC = 0.715, 0.714, and 0.712, respectively) (p<0.001 for all). The other indices were similarly useful, except for the ABSI.

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“…Derived risk of excessive trunk fat was described in mid 1900s in the adult (21) stressing the body shape of the individuals. These risks were proven later by means of the association with T2D (22, 23), hyperuricemia (24), elevation of free T and MRI assessed abdominal fat distribution (25), with heart failure mid-range ejection fraction (26), or even with the vintage metabolic syndrome, this relationship was established by means of different waist circumference derived indexes (27). It is worth referring to the conclusions of Baton Rouge (28) after analyzing these varied equations, although in favor of the Waist circumference index, considered the indexes capacity for evaluating an individual person's health risks.…”

Section: Discussionmentioning

confidence: 99%

Trunk Fat Estimation According To Gender In Childhood Through Basic Somatic Readings. An Opportunity for Improving Girl’S Evaluation

Moya

Pérez‐Fernández

2021

Preprint

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Background: Easy appraisal of trunk fat and the eventual cardiometabolic risk of pediatric obesity is a present requirement. Its estimators Waist-to-Height Ratio (WHtR) and Relative Fat Mass pediatric (RFMp, expressed as % of total fat content), can be a complement of widely accepted BMI.Methods: 472 children (39% boys), classified as underweight, normal weight, overweight and obese (Nutritional groups, NG) according to BMI Z-score after their strictly obtained anthropometric initial data, with ad hoc exclusion criteria. Calculation of WHtR and RFMp was done for each nutritional group and sex, as associations through multiple linear regression (MLR) and differences among sexes (medians, IQR).Results: Age (mean (95% CI)), 10.8 y (10.1- 11.1). Estimators values in: All group WHtR 0.5 (0.49 – 0.51), RFMp% 32.3 (31.7 – 33.0); Underweight, WHtR 0.41 (0.40 – 0.41), RFMp (%) 22.8 (21.2 – 24.4); Normal weight, WHtR 0.46 (0.45 – 0.47), RFMp(%) 28.9 (28.1 – 29.7); Overweight, WHtR 0.51 (0.50 – 0.52), RFMp(%) 34.2 (33.3 – 35.1) and Obese WHtR 0.56 (0.55 – 0.57), RFMp(%) 37.8 (36.9 – 38.6). Associations (NG; independent variables): In NG adjusted R² values were between 0.74-0.78. In All group Beta coefficients were for RFMp 3.36 (P< 0.001) for girls; for waist circumference (WC 2.97 (P< 0.001) and for WHtR were respectively -0.01 (p< 0.001) and 0.03 (p< 0.001) Sex differences: BMI were in NG without gender differences (Mann-W’s U). Whereas WHtR (median IQR) differ (M vs F) respectively in: All group 0.49 (0.45 - 0.54) vs 0.52 (0.45 - 0.56), p<0.004; in Overweight 0.51 (0.48 – 0.53) vs 0.54 (0.51 – 0.55), p< 0.001; in Obese 0.55 (0.52 – 0.57) vs 0.57 (0.54 – 0.60), p< 0.004. RFMp (%): in All 29.21 (24.27 – 32.92) vs 36.63 (30.2 – 39.51), p< 0.001; in Overweight 31.24 (28.35 – 32.35) vs 37.95 (35.75 – 38.82), p<0.001 and in Obese 35.89 (32.05 – 36.15) vs 40.63 (38.27 – 42.42), p<0.001.Conclusions: WHtR and RFMp are simple and reliable indexes not requiring centile charts. Their values, including waist circumference, can estimate the different trunk fat component in boys and girls better than BMI, especially if overweight and obese. RFMp proved to be more reliable as it considers gender. Reasonably, both should be included in routine anthropometric readings.

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Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta‐analysis

Cited by 79 publications

References 91 publications

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

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

Anthropometric indices and cut-off points in the diagnosis of metabolic disorders

Trunk Fat Estimation According To Gender In Childhood Through Basic Somatic Readings. An Opportunity for Improving Girl’S Evaluation

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