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Pediatric reference data for lean tissue properties: density and hydration from age 5 to 20 y
Jonathan C K Wells1, Jane E Williams, Sirinuch Chomtho
1Institute of Child Health, London, UK. j.wells@ich.ucl.ac.uk
Insights
Accurate pediatric body composition assessment requires updated hydration and density values. New empirical data reveal previously used reference values are inaccurate, leading to significant bias in fat percentage calculations.
Area of Science:
- Pediatric physiology
- Body composition analysis
- Biometrics
Background:
- Hydrometry and densitometry are common methods for assessing pediatric body composition.
- Accuracy relies on valid age- and sex-specific constants for lean tissue hydration and density.
- Empirical data on these constants and their variability are scarce.
Purpose of the Study:
- To measure lean tissue hydration and density in a large pediatric sample.
- To develop new prediction equations for these parameters.
- To compare new values with existing reference data.
Main Methods:
- Utilized a 4-component model to measure body composition in 533 healthy children and adolescents (aged 4-23 years).
- Employed the LMS method to determine age- and sex-specific median values for hydration and density.
- Generated prediction equations using regression analysis based on age, sex, and BMI SDS.
Main Results:
- Observed sex-specific differences in age-associated changes in lean tissue density and hydration.
- Published reference values introduced a mean bias of 2.1% in fat percentage compared to empirical data.
- Age, sex, and BMI SDS were significant predictors; higher BMI SDS correlated with higher hydration and lower density.
Conclusions:
- Lean tissue chemical maturation is nonlinear and sex-dependent.
- Existing reference values for pediatric hydrometry and densitometry are inaccurate and cause significant bias.
- New empirical reference values are provided, highlighting the need for research including diverse ethnic groups.
Background:
Hydrometry and densitometry are widely used to assess pediatric body composition due to their ease of application. The accuracy of these techniques depends on the validity of age- and sex-specific constant values for lean tissue hydration or density. Empirical data on these constants, and their variability between individuals, are lacking.
Objectives:
The objectives were to measure lean tissue hydration and density in a large sample of children and adolescents and to derive prediction equations.
Design:
Body composition was measured in 533 healthy individuals (91% white) aged 4-23 y by using the 4-component model. Age- and sex-specific median values for hydration and density were obtained by using the LMS (lambda, mu, sigma) method. Regression analysis was used to generate prediction equations on the basis of age, sex, and body mass index SD score (BMI SDS). Values were compared with those in previously published predictions.
Results:
Age-associated changes in density and hydration differed between the sexes. Compared with our empirical values, use of published values resulted in a mean bias of 2.1% fat (P < 0.0001). Age, sex, and BMI SDS were all significant predictors of lean tissue hydration and density. With adjustment for age and sex, hydration was higher, and density lower, in higher-BMI SDS individuals.
Conclusions:
The chemical maturation of lean tissue is not a linear process and proceeds differently in males and females. Previously published reference values are inaccurate and induce clinically significant bias in percentage fat. New empirical reference values are provided for use in pediatric hydrometry and densitometry. Further research that extends to cover nonwhite ethnic groups is needed.
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