Cited by 203Body Composition Measurement TechniquesDiabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Disease and Adiposity

Entering a New Era of Body Indices: The Feasibility of a Body Shape Index and Body Roundness Index to Identify Cardiovascular Health Status

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Maessen, Martijn F. H., Eijsvogels, Thijs M. H., Verheggen, Rebecca J. H. M., Hopman, Maria T. E., Verbeek, André L. M., Vegt, Femmie de·2014·PLoS ONE

Abstract

BACKGROUND: The Body Mass Index (BMI) and Waist Circumference (WC) are well-used anthropometric predictors for cardiovascular diseases (CVD), but their validity is regularly questioned. Recently, A Body Shape Index (ABSI) and Body Roundness Index (BRI) were introduced as alternative anthropometric indices that may better reflect health status. OBJECTIVE: This study assessed the capacity of ABSI and BRI in identifying cardiovascular diseases and cardiovascular disease risk factors and determined whether they are superior to BMI and WC. DESIGN AND METHODS: 4627 Participants (54±12 years) of the Nijmegen Exercise Study completed an online questionnaire concerning CVD health status (defined as history of CVD or CVD risk factors) and anthropometric characteristics. Quintiles of ABSI, BRI, BMI, and WC were used regarding CVD prevalence. Odds ratios (OR), adjusted for age, sex, and smoking, were calculated per anthropometric index. RESULTS: 1332 participants (27.7%) reported presence of CVD or CVD risk factors. The prevalence of CVD increased across quintiles for BMI, ABSI, BRI, and WC. Comparing the lowest with the highest quintile, adjusted OR (95% CI) for CVD were significantly different for BRI 3.2 (1.4-7.2), BMI 2.4 (1.9-3.1), and WC 3.0 (1.6-5.6). The adjusted OR (95% CI) for CVD risk factors was for BRI 2.5 (2.0-3.3), BMI 3.3 (1.6-6.8), and WC 2.0 (1.6-2.5). No association was observed for ABSI in both groups. CONCLUSIONS: BRI, BMI, and WC are able to determine CVD presence, while ABSI is not capable. Nevertheless, the capacity of BRI as a novel body index to identify CVD was not superior compared to established anthropometric indices like BMI and WC.

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Authors
Maessen, M. F. H., Eijsvogels, T. M. H., Verheggen, R. J. H. M., Hopman, M. T. E., Verbeek, A. L. M., & Vegt, F. D.
Affiliations
  • Radboud University Medical Center (NL)
  • Hartford Hospital (US)
Corresponding author
Maessen, Martijn F. H.
Venue
PLoS ONE
Published
2014-09-17
Volume
9
Issue
9
Pages
e107212
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2042827441
Cited by
203
References
30
Citations by year
2026: 17 · 2025: 33 · 2024: 19 · 2023: 14 · 2022: 22 · 2021: 24 · 2020: 16 · 2019: 13 · 2018: 19 · 2017: 11 · 2016: 12 · 2015: 3
FWCI
5.78
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Liverpool John Moores University (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion, other-oa)
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
Keywords
body shape index, body roundness index, body mass index, waist circumference, cardiovascular disease, cardiovascular risk factors, anthropometric indices, cardiovascular disease prevalence
MeSH terms
Anthropometry, Cardiovascular Diseases, Cardiovascular System, Health Status, Humans, Population Surveillance, Surveys and Questionnaires, Risk Factors, Body Mass Index, Prevalence, Odds Ratio, Waist Circumference

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