Body fat prediction equations for skinfold and bioelectrical impedance analysis using dual-energy x-ray absorptiometry data as the criterion.
Abstract
Background and purpose: Body composition evaluation during health screenings and physical examination is important for health professionals (including physical therapists) to categorize health risk and prescribe appropriate exercise interventions. In addition to measuring bone mineral density, dual energy x-ray absorptiometry (DXA) can provide precise measurement of body fat percentage with minimal radiation exposure. However, having access to DXA is very costly and other common body fat measurements are no very accurate. The purpose of this study was to develop body fat prediction equations for bioelectrical impedance analysis (BIA) and skinfold measurement, using DXA data as the criterion. Methods: This was a within-group study with repeated measures. Sixty three college age students participated in the study. Subject’s body fat percentage was examined with DXA, BIA, and the 3-site skinfold measurements. Results: Body fat percentage measured with DXA (26.27% is significantly higher than those measured with skinfold (17.64% and BIA (20.70%). The DXA criterion regression equations were created for skinfold and BIA: DXA% BF=4.65+0.43 × S3SF (sum of 3 site skinfold in mm); DXA% BF=3.79+1.09 × BIA% BF. The new regression equations were further validated using 75% -25% subject crossvalidation. Discussion: Body fat percentage varies greatly among different measurements. Adjustments are necessary to accurately predict body fat percentage when using skinfold or BIA techniques at a c…
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Whole-body-based techniques such as anthropometry and BIA are viable alternatives for clinical evaluation because they are non-invasive, portable, and relatively low cost.
“Whole-body-based techniques, such as anthropometry and bioelectrical impedance analysis (BIA), used as predictors in regression equations, developed and validated using DXA as the reference method, are a viable alternative for clinical evaluation since they are non-invasive, ideal for quantitative estimates of FFM and FM based on mathematical models, portable, and relatively low cost (9, 18, 19).”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [18]
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“Whole-body-based techniques, such as anthropometry and bioelectrical impedance analysis (BIA), used as predictors in regression equations, developed and validated using DXA as the reference method, are a viable alternative for clinical evaluation since they are non-invasive, ideal for quantitative estimates of FFM and…”
MethodCan skinfold thickness equations be substituted for bioimpedance analysis in children?
Forte, G. C., Rodrigues, C. A. S., Mundstock, E., dos Santos, T. S., Filho, A. D., Noal, J., Amaral, M. A., Preto, L. T., Vendrusculo, F. M., & Mattiello, R. (2020) · Jornal de Pediatria · doi:10.1016/j.jped.2019.12.006 · Cited by 12 · see citing works
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Grove, J., & Hung, Y.-J. (2017) · doi:10.35841/aajptsm.1000103
Self-citationBlack, S. A. (2017) · doi:10.35841/physical-therapy.1.1.32
Xu, H., Zhu, W., Qin, X., Chen, Z., & Gao, X. (2024) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2024.2319305
- Authors
- Grove, J., & Hung, Y.-J.
- Affiliations
- Angelo State University (US)
- Corresponding author
- Hung, You-Jou
- ORCID
- Hung, You-Jou
- Venue
- Journal of Physical Therapy and Sports Medicine
- Publisher
- Allied Academies
- Published
- 2017
- Volume
- 01
- Issue
- 01
- OpenAlex
- W2787504181
- Cited by
- 6
- References
- 39
- Citations by year
- 2024: 1 · 2022: 1 · 2020: 2 · 2017: 2
- FWCI
- 0.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Keywords
- body fat percentage, body composition, skinfold thickness, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, prediction equations, regression equations, measurement agreement, cardiovascular risk screening, health promotion, university students
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