Prediction of body tissue distribution with-multi-dimensional anthropometry

Onderzoeksoutput: Conference paper


Prevalence of overweight and obesity is high and increasing worldwide. Recent evidence suggests that both lean and fat mass predict mortality in individuals with and without cardiovascular disease. This requires knowledge of individual tissue compartments, such as muscle and adipose tissue, and relies on accurate methods of body composition (BC) assessment. Since accepted 'gold' standards for BC estimation in vivo, such as MRI and CT are difficult to access in routine health care situations, it remains important to use anthropometry in the screening and diagnosis of health and nutritional status. Today, the validity of anthropometric variables for estimating regional body tissue distribution is largely unknown, especially with regard to the trunk region. In an attempt to contribute to the validation of techniques to estimate regional BC the following research questions were answered:

* Are simple anthropometric indexes appropriate measures of tissue distribution in elderly persons? [1]
* Can regional lean tissue be predicted accurately using a combination of anthropometric variables? [2]
* Can fat distribution be predicted accurately using anthropometry? [3]
* Is dual energy X-ray absorptiometry (DXA) a suitable assessment tool for estimating body tissue distribution? [4]

[1] Single measurements of body weight and height or waist circumference are of limited use for assessing body tissue distribution in elderly individuals due to significant between subject variability. The assessment of health risk based on simple anthropometric indexes is susceptible to significant error in elderly persons, especially in the intermediate BMI ranges.
[2] Regional lean mass can be predicted with consistent accuracy in groups of young adults using anthropometric formulae, confirming its potential in assessing nutritional status. Estimation errors up to 14% may occur in certain individuals depending on the anatomical region of interest.
[3] Fat distribution can be predicted accurately in young adults without proportional or systematic differences compared to DXA. Defining fat distribution thresholds based on t-scores, might prove itself a useful tool to detect abnormal fat distribution. Misclassification in a minority of subjects may still occur, in particular those with borderline values.
[4] Although DXA and CT-derived tissue analogues are significantly interrelated, they represent different quantitative and physiological body components. Therefore they should not be used interchangeably in clinical practice. Since DXA represents different adipose tissue depots in elderly men and women, it is not an appropriate tool for assessing regional adipose tissue variability between sexes.

[1] J Nutr Health Aging 2011;15:924-31
[2] J Sports Sci 2012;30:777-85.
[3] Am J Hum Biol 2013;25:63-70.
[4] Exp Gerontol 2013;48:985-91.
Originele taal-2Dutch
TitelProceedings van het 18e VK-symposium
SubtitelBewegen met vallen en opstaan
Plaats van productieLeuven
Aantal pagina's1
StatusPublished - 2013
Evenement18e VK-symposium : Bewegen met vallen en opstaan - Leuven, Belgium
Duur: 13 dec 201313 dec 2013


Conference18e VK-symposium : Bewegen met vallen en opstaan

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