ArticleObesity science & practice2025
Evaluating Abdominal Obesity by Waist Circumference, Anthropometric Indices and Bioelectrical Impedance Analysis: A Comparative Pilot Study.
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.
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3 citing papers in PubMed.
- Jabuticaba (Pharmaceuticals (Basel, Switzerland) · 2026Article
- Association Between Daily Steps Measured by Accelerometry and Diabetes in ELSA-Brasil Participants.International journal of environmental research and public health · 2026Article
- Age-Related Trends in Dual-Energy X-Ray Absorptiometry-Measured Adiposity and Their Clinical Relevance: A Multicenter Cross-Sectional Study of Korean Peri- and Postmenopausal Women.Medicina (Kaunas, Lithuania) · 2025Article
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2 authors.
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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.
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