Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) e waist body mass index (wBMI): Which is better?
Abstract
Obesity and overfat are most commonly assessed using the body mass index (BMI), which evaluates "total obesity", without accounting for body fat distribution. Therefore, several indexes of obesity have been proposed, combining BMI with other measures or singular parameters. The aim of the study was to evaluate the accuracy of a new, simple index that takes into account both BMI and Waist Circumference (WC), Waist Body Mass Index (wBMI) in comparison to BMI, WC e Waist-to-Height Ratio (WHtR) for the identification of overfat and obese patients identified by fat mass percentage (FM%). 2400 non diabetic patients were enrolled. From the analysis carried out it emerges that wBMI, BMI, WC and WHtR all have a statistically significant positive correlation (p-Value < 0.001) with FM%. The multivariate analysis showed the positive relationship between these four indexes and the FM. To assess the accuracy of these indices in diagnosing the condition of overfat and obesity we used the statistical analysis Receiver Operating Characteristic (ROC). The Area Under the Curve (AUC) derived from the ROC showed that for the male gender the indicator with the greatest discriminating capacity of the conditions of overfat and obesity was the WHtR and the wBMI for the female gender. The wBMI is therefore configured as an additional tool at the disposal of the healthcare professional aimed at framing the overfat and obese patient and monitoring him during the course of treatment. Moreover wBMI is an indicator able to provide information about the FM% constituting an accurate tool for the evaluation of the overfat and obese patient.
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The diverse presentations of obesity-generalized versus central-suggest that BMI alone may not capture the nuances of body fat distribution and muscle composition effectively.
“However, the diverse presentations of obesity—generalized versus central—suggest that BMI alone may not capture the nuances of body fat distribution and muscle composition effectively26,27.”
From The nonlinear association between body roundness index and infertility in married women (2025) · cites this paper as [27]
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References 17 · Cited by 68
- Authors
- Moltrer, M., Pala, L., Cosentino, C., Mannucci, E., Rotella, C. M., & Cresci, B.
- Affiliations
- Azienda Ospedaliero-Universitaria Careggi (IT)
- Corresponding author
- Cresci, B.
- Venue
- Endocrine
- Published
- 2022-03-19
- Volume
- 76
- Issue
- 3
- Pages
- 578-583
- ISSN
- 0969-711X (ISSN-L)
- 1559-0100
- OpenAlex
- W4220847025
- Cited by
- 68
- References
- 17
- Citations by year
- 2026: 14 · 2025: 27 · 2024: 16 · 2023: 9 · 2022: 2
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Endocrine (publishedVersion)
- PubMed (publishedVersion)
- Florence Research (University of Florence) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- waist-to-height ratio, waist circumference, body mass index, obesity, body fat percentage, body fat distribution, obesity screening, diagnostic accuracy
- MeSH terms
- Female, Humans, Male, Obesity, Risk Factors, ROC Curve, Body Mass Index, Area Under Curve, Waist Circumference, Waist-Height Ratio
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