Evidence map›Paper›PMID 35304685›Full record

ArticleEndocrine2022

Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) e waist body mass index (wBMI): Which is better?

M Moltrer, L Pala, C Cosentino, E Mannucci, C M Rotella, B Cresci

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Trial
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  11. Recent Studies on the Effectiveness and Safety of Anti-Obesity Medications: A Scoping Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

M MoltrerUniversity of Florence, Careggi University Hospital (AOUC), Largo Brambilla 3, Florence, Italy.
L PalaUniversity of Florence, Careggi University Hospital (AOUC), Largo Brambilla 3, Florence, Italy.
C CosentinoUniversity of Florence, Careggi University Hospital (AOUC), Largo Brambilla 3, Florence, Italy.
E MannucciUniversity of Florence, Careggi University Hospital (AOUC), Largo Brambilla 3, Florence, Italy.
C M RotellaUniversity of Florence, Careggi University Hospital (AOUC), Largo Brambilla 3, Florence, Italy.
B CresciUniversity of Florence, Careggi University Hospital (AOUC), Largo Brambilla 3, Florence, Italy. barbara.cresci@unifi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ObesityWaist-Height RatioArea Under CurveBody Mass IndexFemaleHumansMaleRisk FactorsROC CurveWaist CircumferenceBMIObesityOverfatWaist circumference

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.