Bioimpedance analysis with a novel predictive equation - A reliable technique to estimate fat free mass in birth weight based cohorts of Asian Indian males
| Autor: | Shajith Anoop, Riddhi Dasgupta, Mathews Edatharayil Kurian, Geethanjali Finney, Mercy Inbakumari, Nihal Thomas, Prasanna Samuel |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male 0301 basic medicine Waist Adolescent Endocrinology Diabetes and Metabolism Birth weight India 030209 endocrinology & metabolism Body fat percentage Cohort Studies 03 medical and health sciences 0302 clinical medicine Fat free mass Electric Impedance Internal Medicine Birth Weight Humans Medicine 030109 nutrition & dietetics business.industry General Medicine Low birth weight Cross-Sectional Studies Adipose Tissue Cohort Body Composition Lean body mass medicine.symptom business human activities Body mass index Demography |
| Zdroj: | Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 13:738-742 |
| ISSN: | 1871-4021 |
| Popis: | 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.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.The mean FFM (on DEXA) and total lean massimpedance 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).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. |
| Databáze: | OpenAIRE |
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