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Vol. 5 Núm. 2 (2025): Volume 5, Issue 2, Year 2025

Articles

Índice de cintura ajustado al peso como predictor independiente de sarcopenia en pacientes con diabetes mellitus tipo 2

  • 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

Publicado 25-08-2025

Palabras clave

  • Sarcopénico,
  • Diabetes mellitus tipo,
  • Antropometría,
  • Índice de cintura ajustado al peso,
  • Población India

Cómo citar

Yadav, A. K., Shinde, M., Samuel Shaikh, A. N., Mondal, R., Chakraborty, A., Ghoshal, S., Raju, A., Munshi, B. D., & Ghosh, T. (2025). Índice de cintura ajustado al peso como predictor independiente de sarcopenia en pacientes con diabetes mellitus tipo 2. La Revista Internacional De Cineantropometría, 5(2), 87–95. https://doi.org/10.34256/ijk25211

Derechos de autor 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

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

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Resumen

Introducción: La diabetes y la sarcopenia frecuentemente coexisten y afectan adversamente la fuerza muscular, la composición corporal y el rendimiento funcional en adultos. Identificar marcadores antropométricos que distingan efectivamente a individuos con y sin estas condiciones es crucial para la detección e intervención tempranas. Métodos: Comparamos grupos diabéticos y no diabéticos en atributos físicos: fuerza de prensión manual, circunferencia de pantorrilla (CC) y prueba de caminata de seis metros (6MWT). Evaluamos índices antropométricos, incluyendo la relación cintura-talla (WHtR), circunferencia de cintura (WC), relación cintura-cadera (WHR) e índice de cintura ajustado al peso (WWI), usando curvas de Característica Operativa del Receptor (ROC) (AUC) y la estadística J de Youden. Resultados: Encontramos que WWI mostró la capacidad discriminativa más alta con un AUC de 0.745 (IC del 95%: 0.630–0.859) y el índice de Youden más alto (0.445), lo que indica el mejor equilibrio general entre sensibilidad y especificidad. El WHtR demostró la mayor sensibilidad (0,806), mientras que el WHR alcanzó la mayor especificidad (0,977) y el mejor valor predictivo positivo (VPP = 0,857). El WWI también proporcionó el mayor valor predictivo negativo (VPN = 0,767). En conjunto, estos hallazgos destacan al WWI como el predictor general más sólido, con el WHtR y el WHR mostrando fortalezas complementarias en sensibilidad y especificidad, respectivamente. Conclusión: Establecer puntos de corte antropométricos simples y rentables para la sarcopenia en diabéticos indios puede facilitar el diagnóstico temprano en entornos clínicos y comunitarios de rutina, lo que permite una intervención oportuna y mejores resultados. El WWI puede considerarse para su inclusión en programas de cribado clínico y de salud pública dirigidos a personas con riesgo de diabetes y deterioro funcional relacionado con la sarcopenia.

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Citas

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