Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study.

Journal: Population health metrics
Published Date: Aug 19, 2025

Abstract

INTRODUCTION: Dyslipidemia as a modifiable risk factor for chronic non-communicable diseases has become a worldwide concern. We aim to explore different anthropometric measures as predictors of dyslipidemia using various machine learning methods.

Authors

  • Somayeh Ghiasi Hafezi
    International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Atena Ghasemabadi
    Esfarayen University of Technology, Esfarayen, North Khorasan, Iran.
  • Negar Soleimani
    Department of Statistics, College of Statistics Mathematics and Computer, Allameh Tabataba'i University, Tehran, Iran.
  • Maryam Allahyari
    Department of Nutrition Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mina Moradi
    Department of Chemistry, Faculty of Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Amin Mansoori
    Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Rana Kolahi Ahari
    Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mark Ghamsary
    School of public health, Department of Epidemiology and Biostatistics, Loma Linda University, Loma Linda, USA.
  • Gordon Ferns
    Brighton and Sussex Medical School, Division of Medical Education, Brighton, United Kingdom.
  • Habibollah Esmaily
    Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad 917791-8564, Iran.
  • Majid Ghayour-Mobarhan
    International UNESCO Center for Health Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.

Keywords

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