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Cited by 108Diabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement TechniquesObesity, Physical Activity, Diet

Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults

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Wu, Lihong, Zhu, Wenhua, Qiao, Qiaohua, Huang, Lijuan, Li, Yiqi, Chen, Liying·2021·Nutrition & Metabolism
DOI 10.1186/s12986-020-00536-xPMC PMC7788902

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Abstract

Background: Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease. Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices. Methods: Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs. Results: After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: − 0.227 for male, − 0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR = 1.37, female: OR = 1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female’s high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak. Conclusions: AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.

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Cited by

Sorted by citations

Authors
Wu, L., Zhu, W., Qiao, Q., Huang, L., Li, Y., & Chen, L.
Affiliations
Sir Run Run Shaw Hospital (CN)
Corresponding author
Chen, Liying
ORCID
Venue
Nutrition & Metabolism
Publisher
Springer Science and Business Media LLC
Published
2021-01-06
Volume
18
Issue
1
Pages
3-3
ISSN
1743-7075 (ISSN-L)
DOI
10.1186/s12986-020-00536-x
PMC
PMC7788902
OpenAlex
W3119157893
Cited by
108
References
2
Citations by year
2026: 17 · 2025: 32 · 2024: 25 · 2023: 19 · 2022: 11 · 2021: 4
FWCI
11.01
Type
journal article
Language
en
Open access
Licence
Locations
  • Nutrition & Metabolism (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Natural Science Foundation Public Welfare Technology Research Program of Zhejiang Province (LGF18H070003, LGF19H070006)
  • Health Science and Technology Planning of Zhejiang Province (2019330511, 2018KY495)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
metabolic syndrome, anthropometric indices, abdominal volume index, body roundness index, waist-to-height ratio, body shape index, weight-adjusted waist index, abdominal obesity, hypertension, dysglycemia, hypertriglyceridemia, HDL cholesterol, diagnostic accuracy, Chinese adults, cardiovascular risk factors, sex differences, body composition, visceral fat, fat-free mass

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