Sex- and Age-Specific Optimal Anthropometric Indices as Screening Tools for Metabolic Syndrome in Chinese Adults

Zhang, Jia; Wang, Zhu; Qiu, Lifeng; Huang, Lijuan; Fang, Lizheng

doi:10.1155/2018/1067603

Cited by 36 publications

(43 citation statements)

References 57 publications

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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%

“…BRI is a predictor of body fat percentage and visceral adiposity tissue, and its values range from 1 to 16 35 . Although studies have compared the prediction of MetS by BRI with traditional and novel anthropometric indices, 41–55 there is currently no meta‐analysis indicating whether BRI is a better predictor of MetS than BMI, WC, WHR, WHtR, ABSI or BAI. Therefore, this meta‐analysis aims to investigate whether BRI is superior to BMI WC, WHR, WHtR, ABSI or BAI in predicting MetS.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…The early identification of metabolic disorders allows for an early intervention and the prevention of serious consequences. Overweight and obesity indices, calculated based on anthropometric measurements, have found a wide application in the identification of metabolic disorders [13][14][15][16][17][18]. The most significant advantages of anthropometric indices include the following: non-invasiveness, low cost, standardized techniques and simplicity of measurements, and the possibility to apply them on a large scale.…”

Section: Introductionmentioning

confidence: 99%

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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“…In view of the above reasons, there are a rising number of anthropometric indicators applied to predict MetS. This study chose non-invasive, low-cost and easily-calculated measures, including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR) [ 5 ], a body shape index (ABSI) [ 6 ], and body roundness index (BRI) [ 7 ] and compared their abilities in predicting MetS.…”

Section: Introductionmentioning

confidence: 99%

“…Up to now, there are some relevant researches comparing the predicting value of several anthropometric indicators in MetS among Chinese population, however, the study subjects are either from a single center [ 5 ] or a small sample size [ 13 ]. Therefore, this study selected regional representative samples through scientific sampling methods, aiming to update the prevalence of MetS and its components in Jiangsu Province and find out the potential regional representative anthropometric indicators in predicting MetS among adults based on 2014 nutrition and diet investigation project in Jiangsu Province.…”

Section: Introductionmentioning

confidence: 99%

Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China

et al. 2020

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Background Metabolic syndrome (MetS), a condition of metabolic disorders, is now causing large disease burden around the world. This study aimed to update the prevalence of MetS in Jiangsu Province of China and evaluate the predicting value of five anthropometric measures including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI) and body roundness index (BRI) in MetS. Methods 8040 participants from 12 survey sites were enrolled into this cross-sectional study by multi-stage stratified cluster random sampling method from 2014 nutrition and diet investigation project in Jiangsu Province. The transformation of sex-specific z-score made the comparison meaningful when conducting the logistic analysis between anthropometric indices and MetS. The abilities of anthropometric indices to predict MetS were evaluated by the receiver operating characteristic curve (ROC). Delong test was applied to compare area under different ROC curves. Results The prevalence of MetS in Jiangsu Province was 35.2% and the standardized prevalence was 34.8%. WC, BMI, WHtR, ABSI and BRI z-scores were positively related to MetS and its components. WC, WHtR and BRI z-score had stronger associations with MetS than BMI and ABSI in both male and female population. WC, WHtR and BRI had larger area under ROC curve than BMI and ABSI in male and female. WC in men had the largest area under the ROC curve, significantly higher than the other four measures of BMI, WHtR, ABSI and BRI (Z value = 9.08, 2.88, 16.73, 2.75 respectively). Among women, WC, WHtR and BRI had larger area under the ROC curve than BMI and ABSI, but the area under the WC, WHtR and BRI curve were not significantly different after the pairwise comparison by the Delong test. The optimal cut-off values of WC, WHtR and BRI for predicting MetS was 85.25 cm, 0.52 and 3.61 in male, 80.05 cm, 0.51 and 3.83 in female. Conclusion MetS has become one of the major chronic diseases in Jiangsu Province. WC was better than other four indices in predicting MetS among male population in Jiangsu. WC, WHtR and BRI had superior abilities than BMI/ABSI in predicting MetS among female population.

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Sex- and Age-Specific Optimal Anthropometric Indices as Screening Tools for Metabolic Syndrome in Chinese Adults

Cited by 36 publications

References 57 publications

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

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

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

Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China

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