Evidence map›Paper›PMID 40547319›Full record

ArticleObesity science & practice2025

Evaluating Abdominal Obesity by Waist Circumference, Anthropometric Indices and Bioelectrical Impedance Analysis: A Comparative Pilot Study.

Anastasiia Nahorna, Heiner Baur

Abstract read
In one paragraph

Article in Obesity science & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Jabuticaba (Pharmaceuticals (Basel, Switzerland) · 2026
    Article
  2. Association Between Daily Steps Measured by Accelerometry and Diabetes in ELSA-Brasil Participants.International journal of environmental research and public health · 2026
    Article
  3. Article
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

2 authors.

Anastasiia NahornaDepartment of Health Professions Discipline of Physiotherapy Bern University of Applied Sciences Bern Switzerland.ORCID https://orcid.org/0000-0003-3286-9299
Heiner BaurDepartment of Health Professions Discipline of Physiotherapy Bern University of Applied Sciences Bern Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Abdominal obesity significantly increases the risk of various health conditions, making accurate assessment crucial for diagnosis and treatment. This study compares the effectiveness of anthropometric methods and conventional bioelectrical impedance analysis in evaluating abdominal obesity. Materials and Methods: Twenty adults (10 males, 10 females; age 45 ± 11.4 years; height 170 ± 8.63 cm; body weight 91.3 ± 19.2 kg; BMI 31.7 ± 5.31 kg/m Results: Waist circumference, waist-to-hip ratio, and waist-to-height ratio consistently classified all participants as having abdominal obesity. In contrast, bioelectrical impedance analysis identified fewer cases, with only 40% of men and 10% of women classified as having abdominal obesity. Strong correlations were observed between waist circumference, waist-to-height ratio, and visceral fat, whereas waist-to-hip ratio showed weaker correlations. Conclusions: Simple anthropometric methods such as waist circumference, waist-to-hip ratio, and waist-to-height ratio are useful for evaluating abdominal obesity, with waist-to-height ratio often considered a more reliable predictor of central obesity. However, bioelectrical impedance analysis shows inconsistencies, and the waist-to-height ratio should be considered as a standard metric in future guidelines. Large-scale multiethnic studies are recommended to validate these findings.

Indexed as

abdominal obesity (AO)bioelectrical impedance analysis (BIA)waist circumference (WC)waist‐to‐height ratio (WHtR)waist‐to‐hip ratio (WHR)

Identifiers

PMID40547319
PMCPMC12180561

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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.