Literature DB >> 35059255

Cut-off values and clinical efficacy of body roundness index and other novel anthropometric indices in identifying metabolic syndrome and its components among Southern-Indian adults.

Chiranjeevi Kumar Endukuru1, Girwar Singh Gaur1, Yerrabelli Dhanalakshmi1, Jayaprakash Sahoo2, Balasubramaniyan Vairappan3.   

Abstract

CONTEXT: Abdominal obesity (AO) is a definitive link between cardiometabolic complications and metabolic syndrome (MetS). Many traditional and novel anthropometric indices have been identified to determine AO, and their relationship to MetS has been investigated. However, whether these indices are useful in a clinical setting is unknown. Moreover, the cut-off points for these indices to determine MetS have yet to be defined among Southern-Indian adults. AIMS: We aimed to evaluate the cut-off values and clinical efficacy of novel anthropometric indices in identifying MetS and its components.
MATERIALS AND METHODS: Subjects (n = 202) were recruited and then grouped into cases (MetS = 106) and controls (healthy = 96). We measured anthropometric data and assayed glycemic and lipid profiles. Using these, we computed a-body shape index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI), conicity index (CI), lipid-accumulation product (LAP), visceral adiposity index (VAI) and waist-triglyceride index (WTI) from published equations.
RESULTS: Compared to the control group, all the novel anthropometric indices were noticeably higher in both male and female subjects of the MetS group. The area under the curve values (AUCs) demonstrated that BRI, CI, AVI, and WTI had superior detection power in identifying MetS, and the AUCs varied upon stratification by gender. BRI was strongly associated with the highest odds of having MetS (OR 66.03).
CONCLUSIONS: The optimal cut-off and AUC values attained for BRI, CI, AVI, and WTI have a clinical approach in identifying MetS and its components. The efficacy of these indices to identify MetS differed by gender. © The Japan Diabetes Society 2021.

Entities:  

Keywords:  Abdominal obesity; Abdominal volume index; Body roundness index; Cardio-metabolic risk; Conicity index; Visceral adiposity index; Waist-triglyceride index

Year:  2021        PMID: 35059255      PMCID: PMC8733072          DOI: 10.1007/s13340-021-00522-5

Source DB:  PubMed          Journal:  Diabetol Int        ISSN: 2190-1678


  43 in total

1.  Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome.

Authors:  Eduardo Caldas Costa; Joceline Cássia Ferezini de Sá; Elvira Maria Mafaldo Soares; Telma Maria Araújo Moura Lemos; Técia Maria de Oliveira Maranhão; George Dantas Azevedo
Journal:  Gynecol Endocrinol       Date:  2011-09-29       Impact factor: 2.260

Review 2.  Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence.

Authors:  Earl S Ford
Journal:  Diabetes Care       Date:  2005-07       Impact factor: 19.112

3.  Correlation study on waist circumference-triglyceride (WT) index and coronary artery scores in patients with coronary heart disease.

Authors:  R-F Yang; X-Y Liu; Z Lin; G Zhang
Journal:  Eur Rev Med Pharmacol Sci       Date:  2015-01       Impact factor: 3.507

Review 4.  Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis.

Authors:  M Ashwell; P Gunn; S Gibson
Journal:  Obes Rev       Date:  2011-11-23       Impact factor: 9.213

5.  A better index of body adiposity.

Authors:  Richard N Bergman; Darko Stefanovski; Thomas A Buchanan; Anne E Sumner; James C Reynolds; Nancy G Sebring; Anny H Xiang; Richard M Watanabe
Journal:  Obesity (Silver Spring)       Date:  2011-03-03       Impact factor: 5.002

6.  Predicting Metabolic Syndrome by Visceral Adiposity Index, Body Roundness Index and a Body Shape Index in Adults: A Cross-Sectional Study from the Iranian RaNCD Cohort Data.

Authors:  Kamran Baveicy; Shayan Mostafaei; Mitra Darbandi; Behrooz Hamzeh; Farid Najafi; Yahya Pasdar
Journal:  Diabetes Metab Syndr Obes       Date:  2020-03-24       Impact factor: 3.168

7.  Body adiposity index utilization in a Spanish Mediterranean population: comparison with the body mass index.

Authors:  Angel A López; Mey L Cespedes; Teofila Vicente; Matias Tomas; Miguel Bennasar-Veny; Pedro Tauler; Antoni Aguilo
Journal:  PLoS One       Date:  2012-04-09       Impact factor: 3.240

8.  Surrogate markers of visceral adiposity in young adults: waist circumference and body mass index are more accurate than waist hip ratio, model of adipose distribution and visceral adiposity index.

Authors:  Susana Borruel; José F Moltó; Macarena Alpañés; Elena Fernández-Durán; Francisco Álvarez-Blasco; Manuel Luque-Ramírez; Héctor F Escobar-Morreale
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

9.  Comparison of the prevalence of metabolic syndrome and its association with diabetes and cardiovascular disease in the rural population of Bangladesh using the modified National Cholesterol Education Program Expert Panel Adult Treatment Panel III and International Diabetes Federation definitions.

Authors:  Bishwajit Bhowmik; Faria Afsana; Tasnima Siddiquee; Sanjida B Munir; Fareeha Sheikh; Erica Wright; Farjana R Bhuiyan; Sheikh Mohammad Ashrafuzzaman; Hajera Mahtab; Abul Kalam Azad Khan; Akhtar Hussain
Journal:  J Diabetes Investig       Date:  2014-08-25       Impact factor: 4.232

10.  Relationship between body-roundness index and metabolic syndrome in type 2 diabetes.

Authors:  Bowei Liu; Bo Liu; Guangfei Wu; Fuzai Yin
Journal:  Diabetes Metab Syndr Obes       Date:  2019-06-19       Impact factor: 3.168

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.