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Vol. 5 No. 2 (2025): Volume 5, Issue 2, Year 2025

Articles

Weight-Adjusted Waist index as an Independent Predictor of Sarcopenia in Patients with type 2 Diabetes Mellitus

  • Anil Kumar Yadav,
  • Manjusha Shinde,
  • Alpa Nasrin Samuel Shaikh,
  • Rubia Mondal,
  • Arpita Chakraborty,
  • Subhadeep Ghoshal,
  • Aruna Raju,
  • Boudhayan Das Munshi,
  • Tandra Ghosh
Anil Kumar Yadav
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Manjusha Shinde
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Alpa Nasrin Samuel Shaikh
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Rubia Mondal
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Arpita Chakraborty
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Subhadeep Ghoshal
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Aruna Raju
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Boudhayan Das Munshi
Department of Medicine, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Tandra Ghosh
Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
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DOI: https://doi.org/10.34256/ijk25211

Published 25-08-2025

Keywords

  • Sarcopenic,
  • Type 2 diabetes mellitus,
  • Anthropometry,
  • Weight-adjusted waist index,
  • Indian population

How to Cite

Yadav, A. K., Shinde, M., Samuel Shaikh, A. N., Mondal, R., Chakraborty, A., Ghoshal, S., Raju, A., Munshi, B. D., & Ghosh, T. (2025). Weight-Adjusted Waist index as an Independent Predictor of Sarcopenia in Patients with type 2 Diabetes Mellitus. International Journal of Kinanthropometry, 5(2), 87–95. https://doi.org/10.34256/ijk25211

Copyright (c) 2025 Anil Kumar Yadav, Manjusha Shinde, Alpa Nasrin Samuel Shaikh, Rubia Mondal, Arpita Chakraborty, Subhadeep Ghoshal, Aruna Raju, Boudhayan Das Munshi, Tandra Ghosh

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

Introduction: Diabetes, and sarcopenia frequently co-occur and adversely affect muscular strength, body composition, and functional performance in adults. Identifying anthropometric markers that effectively distinguish individuals with and without these conditions is crucial for early screening and intervention. Methods: We compared diabetic and non-diabetic groups on physical attributes—handgrip strength, calf circumference (CC), and six-meter walk test (6MWT). We evaluated anthropometric indices, including waist-to-height ratio (WHtR), waist circumference (WC), waist-to-hip ratio (WHR), and weight-adjusted waist index (WWI), using Receiver Operating Characteristic (ROC) curves (AUC) and Youden’s J statistic. Results: We found WWI showed the highest discriminative ability with an AUC of 0.745 (95% CI: 0.630–0.859) and the highest Youden Index (0.445), indicating the best overall balance between sensitivity and specificity. WHtR demonstrated the highest sensitivity (0.806), while WHR achieved the highest specificity (0.977) and the best positive predictive value (PPV = 0.857). WWI also provided the highest negative predictive value (NPV = 0.767). Collectively, these findings highlight WWI as the strongest overall predictor, with WHtR and WHR showing complementary strengths in sensitivity and specificity, respectively. Conclusion: Establishing simple, cost-effective anthropometric cutoffs for sarcopenia in Indian diabetics may facilitate early diagnosis in routine clinical and community settings, enabling timely intervention and improved outcomes. WWI may be considered to be included in clinical and public health screening programs targeting individuals at risk for diabetes, sarcopenia related functional decline.

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