Fat-free mass predictions through a bayesian network enable body composition comparisons in various populations - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Journal Articles Journal of Nutrition Year : 2011

Fat-free mass predictions through a bayesian network enable body composition comparisons in various populations

Abstract

The respective contribution of fat-free mass (FFM) and fat mass to body weight (Wgt) is a relevant indicator of risk for major public health issues. In an earlier study, a Bayesian Network (BN) was designed to predict FFM from a DXA database (1999-2004 NHANES, n = 10,402) with easily accessible variables [sex, age, Wgt, and height (Hgt)]. The objective of the present study was to assess the robustness of these BN predictions in different population contexts (age, BMI, ethnicity, etc.) when covariables were stochastically deduced from population-based distributions. BN covariables were adjusted to 82 published distributions for age, Wgt, and Hgt from 16 studies assessing body composition. Anthropometric adjustments required a surrogate database In = 23,411) to get the missing correlation between published Wgt and Hgt distributions. Published BMI distributions and their predicted BN counterparts were correlated (R(2) = 0.99; P < 0.001). Predicted FFM distributions were closely adjusted to their published counterparts for both sexes between 20 and 79 y old, with some discrepancies for Asian populations. In addition, BN predictions revealed a very good agreement between FFM assessed in different population contexts. The mean difference between published FFM values (61.1 +/- 3.44 and 42.7 +/- 3.32 kg for men and women, respectively) and BN predictions (61.6 +/- 3.11 and 42.4 +/- 2.76 kg for men and women, respectively) was <1% when FFM was assessed by DXA; the difference rose to 3.6% when FFM was assessed by bioelectric impedance analysis or by densitometry methods. These results suggest that it is possible, within certain anthropometric limitations, to use BN predictions as a complementary body composition analysis for large populations. J. Nutr. 141: 1573-1580, 2011.

Dates and versions

hal-02645997 , version 1 (29-05-2020)

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Cite

Laurence L. Mioche, A. Brigand, Caroline C. Bidot, Jean-Baptiste Denis. Fat-free mass predictions through a bayesian network enable body composition comparisons in various populations. Journal of Nutrition, 2011, 141 (8), pp.1573-1580. ⟨10.3945/jn.111.137935⟩. ⟨hal-02645997⟩
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