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Updated: Sep 18, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Bioelectrical Impedance Analysis Versus Dual X-Ray Absorptiometry for Obesity Assessment in Pediatric Populations: A
Lorena Mihaela Manole1, Gabriela Ghiga1,2, Otilia Iftinchi1,2
1Department of Mother and Child, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania.
Insights
Bioelectrical impedance analysis (BIA) is a practical tool for assessing pediatric obesity, but simpler devices underestimate body fat. Advanced BIA models show better accuracy compared to dual x-ray absorptiometry (DXA).
Area of Science:
- Pediatric Endocrinology
- Biomedical Engineering
- Public Health
Background:
- Pediatric obesity is a major public health concern requiring precise body composition assessment tools.
- Bioelectrical impedance analysis (BIA) and dual x-ray absorptiometry (DXA) are key methods for evaluating body composition.
Purpose of the Study:
- To systematically review and compare the methodological accuracy and clinical utility of BIA versus DXA for assessing obesity in children and adolescents.
- To evaluate the effectiveness of different BIA devices in pediatric populations.
Main Methods:
- Systematic review of 28 studies published between 2014-2024, searching PubMed, EMBASE, and Web of Science.
- Inclusion of studies on participants aged 2-17 years with obesity, comparing BIA to DXA.
- Exclusion of adult studies, anthropometry-only assessments, and studies lacking comparative outcomes.
Main Results:
- BIA generally underestimates body fat percentage and fat mass in pediatric obesity, despite technological advancements.
- DXA is recognized as a more accurate and reliable reference method for whole-body composition.
- BIA offers advantages in accessibility, cost, and portability, but accuracy varies significantly by device.
Conclusions:
- Device-specific evaluation is crucial for BIA in pediatric body composition assessment.
- Multi-frequency segmental BIA analyzers demonstrate superior agreement with DXA compared to simpler models.
- Clinical utility of BIA depends on the specific technology used and requires careful consideration of accuracy limitations.
Abstract:
Objectives: Pediatric obesity represents a significant public health challenge, requiring accurate and accessible tools for assessing body composition in pediatric populations. This systematic review (PROSPERO CRD42024592366) compares the methodological accuracy and clinical utility of bioelectrical impedance analysis (BIA) and dual x-ray absorptiometry (DXA) in evaluating obesity among children and adolescents. Methods: Utilizing a comprehensive search across PubMed, EMBASE, and Web of Science between 1 January 2014 and 31 December 2024, we identified 28 studies meeting our inclusion criteria. The studies included involved participants aged 2-17 years with obesity and compared BIA with DXA as the reference standard. The exclusion criteria were studies focusing on adults, those that assessed BC solely using anthropometry, and those that did not report primary outcomes relevant to the comparison of BIA vs. DXA. Results: The findings reveal that despite recent technological advances improving BIA's precision, it consistently underestimates body fat percentage and fat mass, particularly in overweight and obese pediatric populations. DXA it is often used as a reference method in the evaluation of whole-body composition due to its higher accuracy and reliability. BIA offers significant practical advantages in accessibility, cost-effectiveness, and portability, but enhancements are needed to improve its accuracy for individual-level assessments. Conclusions: While BIA shows promise as a practical tool for body composition assessment in children, its accuracy varies significantly by device type. Multi-frequency segmental analyzers, such as InBody 720, demonstrate better agreement with DXA, whereas simpler models tend to underestimate fat mass. Therefore, conclusions regarding BIA performance should be device-specific and its clinical utility should be carefully weighed based on the technology used.

