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Cited by 80Diabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement TechniquesAdipokines, Inflammation, and Metabolic Diseases

The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

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Suliga, Edyta, Ciesla, Elzbieta, Głuszek-Osuch, Martyna, Rogula, Tomasz, Głuszek, Stanisław, Kozieł, Dorota·2019·Nutrients
DOI 10.3390/nu11112598PMC PMC6893758
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Abstract

Despite several papers having been published on the association between adiposity and the risk of metabolic syndrome (MetS), it is still difficult to determine unambiguously which of the indices of nutritional status is the best to identify MetS. The aim of this study was to analyze the ability of six anthropometric indices to identify MetS in the Polish population. The highest odds ratios for the occurrence of MetS, according to International Diabetes Federation (IDF), were noted for the following indices: waist-to-height ratio (WHtR, OR = 24.87) and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE, OR = 17.47) in men and WHtR (OR = 25.61) and body roundness index (BRI, OR = 16.44) in women. The highest odds ratios for the modified definition of MetS (without waist circumference) were found for the following indices: WHtR (OR = 7.32), BRI (OR = 6.57), and CUN-BAE (OR = 6.12) in women and CUN-BAE (OR = 5.83), WHtR (OR = 5.70), and body mass index (BMI, OR = 5.65) in men (p < 0.001 for all). According to the Receiver Operating Characteristic (ROC) analyses conducted for the identification of MetS, defined in accordance with IDF, the largest areas under the curve (AUCs) in men were observed for WHtR and CUN-BAE indices, whereas in women, they were observed for WHtR and BRI. In the analysis carried out for the identification of MetS (according to modified definition, without waist circumference), the AUCs were larger for WHtR and BRI in women, while in men, they were larger for CUN-BAE, BMI, and WHtR. BMI was also characterized by a relatively strong discriminatory power in identifying individuals with MetS. An optimal cut-off point for MetS, in accordance with the conventional definition, for both sexes was the value of BMI = 27.2 kg/m2. The weakest predictor of the syndrome was the ABSI (a body shape index) indicator. The most useful anthropometric indicator for the identification of MetS, both in men and in women in the Polish population, was WHtR. The optimal cut-off points for WHtR equaled 0.56 in men and 0.54 in women.

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Sorted by citations

Authors
Suliga, E., Ciesla, E., Głuszek-Osuch, M., Rogula, T., Głuszek, S., & Kozieł, D.
Affiliations
  • Jan Kochanowski University (PL)
  • The Institute of Health Sciences, Medical College, Jan Kochanowski University, ul. Zeromskiego 5, 25-369 Kielce, Poland
Corresponding author
Suliga, Edyta
ORCID
Venue
Nutrients
Publisher
MDPI AG
Published
2019-10-29
Volume
11
Issue
11
Pages
2598
ISSN
2072-6643 (ISSN-L)
DOI
10.3390/nu11112598
PMC
PMC6893758
OpenAlex
W2982677346
Cited by
80
References
2
Citations by year
2026: 3 · 2025: 16 · 2024: 12 · 2023: 14 · 2022: 10 · 2021: 10 · 2020: 14 · 2019: 1
FWCI
7.10
Type
journal article
Language
en
Open access
Licence
Locations
  • Nutrients (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Minister of Science and Higher Education - “Regional Initiative of Excellence” in 2019–2022 (024/RID/2018/19)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
metabolic syndrome, anthropometric indices, waist-to-height ratio, body roundness index, body mass index, body shape index, adiposity, risk prediction, cut-off values, sex differences, Polish population, IDF criteria, diagnostic accuracy, receiver operating characteristic, body composition, body fat distribution, body fat percentage, body water percentage
MeSH terms
Anthropometry, Female, Humans, Life Style, Male, Middle Aged, Risk Factors, Odds Ratio, Metabolic Syndrome

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