Capacity of a body shape index and body roundness index to identify diabetes mellitus in Han Chinese people in Northeast China: a cross‐sectional study

Zhao, Qian; Zhang, Kai; Li, Y.; Zhen, Qing; Shi, Jingwei; Yu, Yang; Tao, Yu; Yi, Cheng; Liu, Y.

doi:10.1111/dme.13787

Cited by 61 publications

(66 citation statements)

References 21 publications

(50 reference statements)

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“…It appeara that BRI has become a competitive surrogate for diabetes prediction because of its historically consistently good performance. In two cross‐sectional studies and one prospective study with a five‐year follow‐up, BRI was positively associated with incident diabetes risk . Interestingly, participants from those three studies were all of a Chinese background.…”

Section: Discussionmentioning

confidence: 98%

Capacity of different anthropometric measures to predict diabetes in a Chinese population in southwest China: a 15‐year prospective study

Wang

Chen

2019

Diabet. Med.

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Aim To investigate whether conicity index, abdominal volume index, body adiposity index, body roundness index, cardiometabolic index and lipid accumulation product compared with waist circumference could predict future diabetes in a 15-year prospective study.Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 individuals. Anthropometric indices and biochemical data were obtained. Cox's proportional hazards regression models were used to estimate the hazard ratios of anthropometric measures. The discriminatory power of anthropometric measures for incident diabetes were assessed by Harrell's C-statistic.Results During follow-up, 74 participants were newly diagnosed with diabetes. In multivariable Cox regression analysis after adjusting potential for confounders, log 10 -conicity index [HR: 1.67 (95% CI: 1.31-2.11) per SD; P < 0.0001], log 10 -abdominal volume index [HR: 1.95 (95% CI: 1.50-2.55) per SD; P < 0.0001], log 10 -body adiposity index [HR: 1.82 (95% CI: 1.33-2.50) per SD; P < 0.0001], log 10 -body roundness index [HR: 2.16 (95% CI: 1.63-2.88) per SD; P < 0.0001], log 10 -cardiometabolic index [HR: 1.70 (95% CI: 1.39-2.09) per SD; P < 0.0001], log 10 -lipid accumulation product [HR: 2.06 (95% CI: 1.56-2.73) per SD; P < 0.0001] and log 10 -waist circumference [HR: 1.99 (95% CI: 1.51-2.46) per SD; P < 0.0001] were significantly associated with incident diabetes. Additionally, lipid accumulation product had the highest Harrell's C-statistic at 0.715 (95% CI: 0.656-0.775), followed by body roundness index at 0.714 (95% CI: 0.658-0.770) and cardiometabolic index at 0.704 (95% CI: 0.643-0.764) then by waist circumference at 0.701 (95% CI: 0.644-0.759).Conclusions Conicity index, abdominal volume index, body adiposity index, body roundness index, cardiometabolic index and lipid accumulation product were independent predictors of future diabetes. The discriminatory power of body roundness index, cardiometabolic index and lipid accumulation product for diabetes prediction were higher than that of waist circumference.

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Section: Discussionmentioning

confidence: 98%

Capacity of different anthropometric measures to predict diabetes in a Chinese population in southwest China: a 15‐year prospective study

Wang

Chen

2019

Diabet. Med.

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“…However, BRI is limited in predicting percentage of fat mass in elite athletes when compared with other commonly and readily available field methods such as bio‐impedance analysis or skinfold prediction models 63 . Several recent studies have shown that BRI could be used as an adipose indicator for determining the presence of eccentric left ventricular hypertrophy, 64 hyperuricaemia, 41,65 arterial stiffness, 66–69 CVD, 70,71 diabetes, 41,72–75 dyslipidaemia, 41,76–78 hypertension 41,79,80 and MetS 41–55 …”

Section: Discussionmentioning

confidence: 99%

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

et al. 2020

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Body roundness index (BRI) is a new anthropometric index developed to predict both body fat and the percentage of visceral adipose tissue. Our aim was to investigate whether BRI is superior to traditional anthropometric indices in predicting metabolic syndrome (MetS). This systematic review and meta-analysis was conducted using Pubmed, Scopus and Web of Sciences databases. The estimated pooled areas under curve (AUCs) for BRI predicting MetS was higher than body mass index (BMI), waistto-hip ratio (WHR), body shape index (ABSI) and body adiposity index (BAI), similar to waist circumference (WC) and lower than waist-to-height ratio (WHtR). However, the difference between BRI and BMI, WC and WHtR predicting MetS was statistically non-significant. Similar results were found with the summary receiver operating characteristic curve (AUC-SROC). In addition, the non-Chinese population had pooled AUCs greater than the Chinese population for all indices. Pooled ORs showed that BRI is associated with an increased MetS risk. In conclusion, BRI had good discriminatory power for MetS in adults of both sexes from diverse populations (AUC > 0.7; AUC-SROC>0.7). However, WC and WHtR offer the best performance when screening for MetS, and non-significant differences were found with BRI. In contrast, BRI was superior to BMI, WHR, ABSI and BAI in predicting MetS. K E Y W O R D Santhropometric indices, body roundness index, metabolic syndrome, review

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“…A body shape index (ABSI), using a standardized WC based on BMI and height, reflects mortality hazard better than BMI and WC [15]. While, the body roundness index (BRI), is an indicator of body fat and visceral adipose tissue percentage, and may be useful for evaluating health status [15].…”

Section: Introductionmentioning

confidence: 99%

Potential Role of New Anthropometric Parameters in Childhood Obesity with or Without Metabolic Syndrome

Ismail

Ragab

ElBaky

et al. 2019

Open Access Maced J Med Sci

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BACKGROUND: Obese children and adolescents are more prone to have metabolic syndrome (MS).MS is a cluster of cardiovascular risk factors associated with insulin resistance. Body round index [BRI], visceral adiposity index [VAI] and a body shape index [ABSI] are among the new obesity anthropometric parameters. AIM: To evaluate the new markers for obesity in children and their possible association with other laboratory and clinical variables of MS. METHODS: Eighty nine obese children and 40 controls aged 10-18 years were recruited. Full history taking, thorough clinical examination, anthropometric and biochemical features were performed in the studied groups. Subcutaneous fat thickness (SFT) and visceral fat thickness (VFT) were estimated by ultrasonography. RESULTS: Obese children, exhibited significantly higher values in all anthropometric measurements (P < 0.001). Diastolic and systolic blood pressure were significantly higher (P < 0.001) in the obese group. ABSI, BRI and VAI have been found to be significantly higher in obese subjects (P < 0.001), with no significant gender difference. BMI, WHtR, WC/HR, SBP, DBP, subcutaneous fat thickness and visceral fat thickness, Liver Span, ABSI, BRI, VAI and HOMA_IR were significantly higher among children with MS than those without MS. Positive significant correlations of VAI with BMI, WC/Ht, WC/Hip, SBP, DBP, SFT, VFT, Liver size and HOMA-IR (r = 0.384, 0.239, 0.268, 0.329, 0.516, 0.320, 0.254, 0.251, and 0.278 respectively) are shown. The area under the ROC curve (AUC) of BMI, VAI, ABSI, BRI for predicting MS was 0.802 (0.701-0.902), 0.737 (0.33-0.841), 0.737 (0.620-0.855), 0.816 (0.698-0.934). CONCLUSION: We suggest using the VAI and WHtR indexes, as they are better predictor of MS.

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Capacity of a body shape index and body roundness index to identify diabetes mellitus in Han Chinese people in Northeast China: a cross‐sectional study

Abstract: BMI, a body shape index and body roundness index may identify the presence of diabetes. Among the three anthropometric indices, BMI had the weakest association with diabetes. Body roundness index is an alternative index for assessing diabetes in Han Chinese people in Northeast China.

Cited by 61 publications

References 21 publications

Capacity of different anthropometric measures to predict diabetes in a Chinese population in southwest China: a 15‐year prospective study

Capacity of different anthropometric measures to predict diabetes in a Chinese population in southwest China: a 15‐year prospective study

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

Potential Role of New Anthropometric Parameters in Childhood Obesity with or Without Metabolic Syndrome

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