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Anthropometric and Biochemical Correlations of Insulin Resistance in a Middle-Aged Maltese Caucasian Population.

Rachel AgiusNikolai Paul PaceStephen Fava
Published in: Journal of nutrition and metabolism (2024)
Our data show that LAP, VAI, TG, and WC all have good discriminatory power in detecting IR in both men and women. The optimal cutoffs for TG and WC were lower than those currently recommended in both sexes. Replication studies are required in different subpopulations and different ethnicities in order to be able to update the current cut points to ones which reflect the contemporary population as well as to evaluate their longitudinal relationship with longer-term cardiometabolic outcomes.
Keyphrases
  • middle aged
  • body composition
  • electronic health record
  • preterm infants
  • cross sectional
  • machine learning
  • african american
  • metabolic syndrome
  • skeletal muscle
  • insulin resistance
  • artificial intelligence
  • deep learning