Bioimpedance analysis with a novel predictive equation - A reliable technique to estimate fat free mass in birth weight based cohorts of Asian Indian males
Abstract
Aim To validate bioimpedance based predictive equations for fat free mass (FFM) against DEXA and to derive a novel birth weight based predictive equation for FFM in a birth weight based cohort of healthy Asian Indian men.Methodology Whole body composition was done using DEXA and bioimpedance in 117 young Asian Indian men, born of normal birth weight (n = 59, birth weight ≥2.5 kg) or low birth weight (n = 58, birth weight < 2.5 kg). Predictive accuracy of 11 different bioimpedance based equations for FFM was evaluated using Pearson's correlation analysis and the root of mean squared prediction error (RMSE) analysis.Results The mean FFM (on DEXA) and total lean mass & impedance index (on bioimpedance) were significantly higher in the low birth weight cohort. Significantly higher body fat percentage was noted on bioimpedance, for the normal birth weight cohort, but not on DEXA. In addition, the mean values of predicted FFM were significantly higher in the low birth weight cohort for 9 different predictive equations. Specifically, the mean FFM values obtained using the predictive equations of Schaefer et al., Hoot cooper et al. and Hughes et al. were in close agreement with the actual FFM values on DEXA. A novel predictive equation (CMC equation) for FFM based on birth weight was derived. FFM = 32.637 + (-0.222*age) + (-32.51*waist-to-hip ratio) + (0.33*body mass index) + (1.58 * 1 or 2 (1 = normal birth weight, 2 = low birth weight) + (0.510*waist circumference).Conclusions Our study findings substantiate the validity of Bio-impedance analysis (BIA) as a reliable and noninvasive tool for estimating body composition measures in birth-weight based cohorts of Asian Indian males. Further, we have devised a novel BIA-based predictive equation that can be useful in larger epidemiological studies to look at alterations in body fat in this cohort.
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Concerning foot-to-hand technology for adults, one equation is suitable for males.
“Concerning foot to hand technology, 17 equations are available for both sexes [42, 47, 52, 54, 61, 66, 71, 77, 102], while one is suitable for males [78] and two are suitable for females only [34, 50].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [78]
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- Authors
- Dasgupta, R., Anoop, S., Samuel, P., Kurian, M. E., Inbakumari, M., Finney, G., & Thomas, N.
- Affiliations
- Christian Medical College, Vellore (IN)
- Corresponding author
- Dasgupta, Riddhi
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 13
- Issue
- 1
- Pages
- 738-742
- ISSN
- 1871-4021 (ISSN-L)
- OpenAlex
- W2902409350
- Cited by
- 10
- References
- 24
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2022: 1 · 2020: 1
- FWCI
- 0.17
- Type
- journal article
- Language
- en
- Update notices
- erratum (2021-01-01)
- Open access
- closed
- Locations
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Department of International health, University of Copenhagen, Denmark
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- bioelectrical impedance analysis, fat-free mass, prediction equations, birth weight, low birth weight, body composition, waist-to-hip ratio, body mass index, waist circumference, body fat percentage, equation validation
- MeSH terms
- Adipose Tissue, Adolescent, Adult, Birth Weight, Body Composition, Cross-Sectional Studies, Humans, India, Male, Cohort Studies, Electric Impedance
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