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Associations of age and body mass index with hydration and density of fat-free mass from 4 to 22 years.
- Source :
-
European journal of clinical nutrition [Eur J Clin Nutr] 2019 Oct; Vol. 73 (10), pp. 1422-1430. Date of Electronic Publication: 2019 Jul 08. - Publication Year :
- 2019
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Abstract
- Background: Most body composition techniques assume constant properties of fat free mass (FFM) (hydration and density) regardless of nutritional status, which may lead to biased values.<br />Aim: To evaluate the interactive associations of age and body mass index (BMI) with hydration and density of FFM.<br />Methods: Data from subjects aged between 4 and 22 years old from several studies conducted in London, UK were assessed. Hydration (H <subscript>FFM</subscript> ) and density (D <subscript>FFM</subscript> ) of FFM obtained from the four-component model in 936 and 905 individuals, respectively, were assessed. BMI was converted in to z-scores, and categorised into five groups using z-score cut-offs (thin, normal weight, overweight, obese, and severely obese). Linear regression models for H <subscript>FFM</subscript> and D <subscript>FFM</subscript> were developed using age, sex, and BMI group as predictors.<br />Results: Nearly 30% of the variability in H <subscript>FFM</subscript> was explained by models including age and BMI groups, showing increasing H <subscript>FFM</subscript> values in heavier BMI groups. On the other hand, ∼40% of variability in D <subscript>FFM</subscript> was explained by age, sex, and BMI groups, with D <subscript>FFM</subscript> values decreasing in association with higher BMI group.<br />Conclusion: Nutritional status should be considered when assessing body composition using two-component methods, and reference data for H <subscript>FFM</subscript> and D <subscript>FFM</subscript> is needed for higher BMI groups to avoid bias. Further research is needed to explain intra-individual variability in FFM properties.
Details
- Language :
- English
- ISSN :
- 1476-5640
- Volume :
- 73
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- European journal of clinical nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 31285552
- Full Text :
- https://doi.org/10.1038/s41430-019-0447-4