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The predictive power of conventional and novel obesity indices in identifying metabolic syndrome among the southern Iranian populations: findings from PERSIAN cohort study.

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  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: Bangladesh NLM ID: 100959228 Publication Model: Electronic Cited Medium: Internet ISSN: 2072-1315 (Electronic) Linking ISSN: 16060997 NLM ISO Abbreviation: J Health Popul Nutr Subsets: MEDLINE
    • Publication Information:
      Publication: May 2015- : London: BioMed Central
      Original Publication: Dhaka, Bangladesh : ICDDR,B: Centre for Health and Population Research, c2000-
    • Subject Terms:
      Metabolic Syndrome*/diagnosis ; Obesity* ; Anthropometry*/methods ; Waist-Hip Ratio* ; Body Mass Index*; Humans ; Iran ; Male ; Female ; Middle Aged ; Adult ; Cross-Sectional Studies ; Aged ; Waist Circumference ; Predictive Value of Tests ; Cohort Studies ; Waist-Height Ratio
    • Abstract:
      Background: Metabolic syndrome (MetS) contributes to an increased risk of cardiovascular diseases. Traditional metrics like body mass index (BMI) have limitations in discerning fat distribution. The purpose of this study was to evaluate the diagnostic accuracy of traditional and novel anthropometric indices in metabolic syndrome and its components in the south coast of Iran.
      Methods: In this cross-sectional study, 2694 adults aged 35 to 70 were included. Comprehensive anthropometric and biochemical data were collected and analyzed. There were eight anthropometric indices evaluated in this study, including a body shape index (ABSI), body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), body roundness index (BRI), abdominal volume index (AVI), weight-adjusted waist index (WWI) and waist-height ratio (WHtR).
      Results: WHtR (AUC: 0.766 for males, 0.799 for females), BRI (AUC: 0.766 for males, 0.799 for females), and AVI (AUC: 0.769 for males, 0.793 for females) were the best predictors of MetS. ABSI had the weakest correlation with metabolic variables.
      Conclusions: AVI, WHtR, BRI, and WHR were superior to other measures as anthropometric indexes for determining MetS and its components. The study contributes valuable insights into the utility of traditional and novel metrics in clinical practice, highlighting the need for standardized diagnostic approaches and further research in diverse populations.
      Competing Interests: Declarations. Ethics approval and consent to participate: The cohort study was given ethical approval by the Ethics Committee of Hormozgan University of Medical Sciences. Ethics code: IR.HUMS.REC.1402.247. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
      (© 2024. The Author(s).)
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    • Grant Information:
      Grant Number 700/534 The Iranian Ministry of Health and Medical Education
    • Contributed Indexing:
      Keywords: Bandare-Kong non-communicable disease; Metabolic syndrome; Novel obesity indices; Prospective epidemiological research in IrAN (PERSIAN); Traditional obesity indices
    • Publication Date:
      Date Created: 20241129 Date Completed: 20241129 Latest Revision: 20241201
    • Publication Date:
      20241202
    • Accession Number:
      PMC11606048
    • Accession Number:
      10.1186/s41043-024-00703-3
    • Accession Number:
      39609899