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

Endukuru, Chiranjeevi Kumar orcid iconORCID: 0000-0001-6903-7280, Gaur, Girwar Singh, Yerrabelli, Dhanalakshmi, Sahoo, Jayaprakash and Vairappan, Balasubramaniyan (2021) 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. Diabetology International . ISSN 2190-1678

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Official URL: https://doi.org/10.1007/s13340-021-00522-5

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.


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