Evidence map›Paper›PMID 41586219›Full record

ArticleFrontiers in nutrition2025

Assessment of body fat percentage in Emirati females: a comparative analysis of BIA vs. DXA.

Dalia Haroun, Aseel Ehsanallah

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Dalia HarounDepartment of Health Sciences, College of Natural and Health Sciences, Zayed University, Dubai, United Arab Emirates.
Aseel EhsanallahDepartment of Health Sciences, College of Natural and Health Sciences, Zayed University, Dubai, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity is a significant health issue in the UAE. Accurate body composition assessment is crucial for managing obesity-related health risks. This study aimed to evaluate the agreement between bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) in measuring body composition among Emirati females. Methods: This cross-sectional study involved 95 healthy Emirati females aged 17-27 years. Paired samples Results: BIA significantly underestimated % fat and fat mass (FM) while overestimating fat-free mass (FFM) compared to DXA. The mean difference in % fat was -14.1% ( Conclusion: Bioelectrical impedance analysis remains valuable for obesity assessment in large-scale studies and clinical settings due to its non-invasive, easy-to-use, and cost-effective characteristics. The results show that the in-built prediction equations cannot adequately predict the % fat, FM, and FFM for this sample. Future research should focus on developing and validating BIA-specific equations tailored for Emiratis.

Indexed as

BIAbody compositionDXAEmiratifemales

Identifiers

PMID41586219
PMCPMC12827134

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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.