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Cited by 25Body Composition Measurement TechniquesNutrition and Health in AgingNutrition and Health Studies

Body composition by hydrometry (deuterium oxide dilution) and bioelectrical impedance in subjects aged >60 y from rural regions of Cuba, Chile and Mexico

Valencia, M E, Alemán-Mateo, H, Salazar, G, Hernández Triana, M·2003·International Journal of Obesity
DOI 10.1038/sj.ijo.0802315
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Abstract

Background In Latin American and Caribbean countries such as Chile, Mexico and Cuba, the population over 60 y has increased steadily. In this age group, there is scarce information about body composition, particularly for those living in rural areas.Objective The purpose of this study was to determine body composition in free-living and healthy elderly subjects >60 y from rural areas of Chile, Cuba and Mexico using deuterium oxide dilution and bioelectrical impedance (BIA) and to develop and cross-validate a predictive equation for this group of subjects by BIA for future use as a field technique.Subjects The study included 133 healthy subjects (73 males and 60 females) >60 y from rural regions of Cuba, Chile and Mexico.Measurements Total body water, body weight, height and other anthropometric and BIA variables (resistance and reactance) were measured.Methods Total body water was determined by deuterium oxide dilution, and fat-free mass (FFM)/fat mass were derived from this measurement. The total sample was used in a split-sample internal cross-validation. BIA and other anthropometric variables were integrated to multiple regression model to design the best predictive equation, which was validated in the other sample. ANOVA, multiple regression and Bland and Altman's procedure were used to analyze the data.Results Body weight, percentage of fat and fat-free mass were lower in the Cuban men and women compared with Chilean and Mexican men and women. The best predictive equation of the FFM was: FFM kg=(-7.71+(H(2)/R x 0.49)+(country or ethnicity x 1.12)+(body weight x 0.27)+(sex x 3.49)+(Xc x 0.13)), where H(2) is height(2) (cm); R is resistance (Omega); country: Chile=1, Mexico=2 and Cuba=3; sex: women=0 and men=1; body weight (kg) and Xc is reactance (Omega). R(2) was 0.944 and the root mean square error (RMSE) was 2.08 kg. The mean+/-s.d. of FFM prediction was 44.2+/-9.2 vs 44.6+/-10.1. The results of cross-validation showed no significant difference with the line of identity, showing that the predicted equation was accurate. The intercept (=-0.32) was not significantly different from zero (P=0.89) and the slope (=1.02) not significantly different from 1.0 (P>0.9). The R(2) was 0.86, RMSE=3.86 kg of FFM and the pure error was 3.83.Conclusion The new BIA equation is accurate, precise and showed good agreement. The use of this equation could improve the estimates of body composition for the elderly population for these regions, as well as enhancing the opportunity to conduct studies in the elderly population from Latin America.

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Authors
Valencia, M. E., Alemán-Mateo, H., Salazar, G., & Hernández Triana, M.
Affiliations
  • Centro de Investigación en Alimentación y Desarrollo (MX)
  • University of Chile (CL)
Corresponding author
Valencia, M E
ORCID
Venue
International Journal of Obesity
Publisher
Springer Science and Business Media LLC
Published
2003-06-24
Volume
27
Issue
7
Pages
848-855
ISSN
  • 0307-0565 (ISSN-L)
  • 1476-5497
DOI
10.1038/sj.ijo.0802315
OpenAlex
W2052052391
Cited by
25
References
36
Citations by year
2025: 2 · 2023: 1 · 2022: 1 · 2020: 1 · 2018: 3 · 2016: 1 · 2015: 1 · 2014: 1 · 2012: 3
FWCI
0.19
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • International Journal of Obesity (publishedVersion)
  • PubMed (publishedVersion)
Funders
Consejo Nacional de Ciencia y Tecnología
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
Keywords
body composition, older adults, rural population, bioimpedance, deuterium dilution, fat-free mass, fat mass, total body water, prediction equations, cross-validation, anthropometry, Latin America, Cuba, Chile, Mexico, ethnic differences, sex differences, body fat percentage, resistance and reactance, field methods, malnutrition, sarcopenia
MeSH terms
Aged, Analysis of Variance, Body Composition, Chile, Cuba, Female, Humans, Indicator Dilution Techniques, Male, Mexico, Middle Aged, Obesity, Rural Population, Electric Impedance, Deuterium Oxide

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