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Assessment of the Potential of Different Anthropometric Indices in Predicting the Risk of Diabetes and Associated Co-morbidities.

Shivam Verma·Ritu Tiwari·Narsingh Verma·Shraddha Singh·Ajay Kumar Verma·Anupam Mittal
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Abstract

Diabetes, a chronic disorder, is showing a rapidly increasing trend globally. India holds the second position in the global diabetes epidemic. The present investigation is an assessment of different anthropometric measurements and their association with type 2 diabetes to determine their diagnostic potential for diabetes as well as its co-morbidities. In this cross-sectional study, we have measured anthropometric parameters and blood biomarkers in subjects with diabetes. We have presented the comparisons of cost- and time-effective anthropometric variable with costly and time-dependent biochemical variables in control and diabetic groups (n = 233/group). Correlations between anthropometric variables and biochemical measurements, as well as the diagnostic utility of anthropometric variables for diabetes, were evaluated. The diagnostic utility of anthropometric variables for diabetes was assessed through receiver operating characteristic (ROC) curves. Neck circumference, sagittal abdominal diameter (SAD), skinfold thickness, and body roundness index (BRI) displayed high specificity and diagnostic utility for diabetes, emphasizing their potential in predicting diabetes and the further development of metabolic syndrome. The study highlights the importance of cost- and time-effective anthropometric assessments in diabetes risk evaluation and calls for further research to elucidate this intricate relationship and develop personalized management strategies.

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HumansDiabetes Mellitus, Type 2Cross-Sectional StudiesMaleAnthropometryFemaleRisk FactorsMiddle AgedAdultComorbidityBiomarkersIndiaObesityPredictive Value of TestsROC CurveMetabolic SyndromeSkinfold ThicknessBRIHOMA-IRanthropometrydiabetesobesityJournal Article

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Shivam Verma, Ritu Tiwari, Narsingh Verma, Shraddha Singh, Ajay Kumar Verma, Anupam Mittal. 2026-05-26. Assessment of the Potential of Different Anthropometric Indices in Predicting the Risk of Diabetes and Associated Co-morbidities.. https://doi.org/10.1177/15578518261451972

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Journal Article resourceAdult subjectAnthropometry subjectBiomarkers subjectComorbidity subjectCross-Sectional Studies subjectDiabetes subjectDiabetes Mellitus, Type 2 subjectFemale subjectHumans subjectIndia subjectJournal Article subjectMale subjectMetabolic Syndrome subjectMiddle Aged subjectObesity subject

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