Abstract
Methods: We applied multivariate semi-metric smoothing to the various pediatric bone-measurement sites using data from the Bone Mineral Density in Childhood Study to evaluate which of sex, race, age, height, weight, percent body fat, and sexual maturity explain variations in the population’s bone mineral values. By balancing high adjusted R2 values with clinical needs, two models are examined.
Results: At the spine, whole body, whole body sub head, total hip, hip neck, and forearm sites, models were created using sex, race, age, height, and weight as well as an additional set of models containing these anthropometric variables and percent body fat. For bone mineral density, weight is more important than percent body fat, which is more important than height. For bone mineral content, the order varied by site with body fat being the weakest component. Including more anthropometrics in the model reduces the overlap of the critical groups, identified as those individuals with a Z-score below −2, from the standard sex, race, and age model.
Summary: New models describing anthropometrically adjusted normal values of bone mineral density and content in children have been created for the various measurement sites. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.
Introduction: Previous descriptions of children’s bone mineral measurements by age have focused on segmenting diverse populations by race and sex without adjusting for anthropometric variables or have included the effects of a single anthropometric variable.
Conclusions: If body fat is not available, the simpler model including height and weight should be used. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.
| Original language | English |
|---|---|
| Pages (from-to) | 1099-1108 |
| Number of pages | 10 |
| Journal | Osteoporosis International |
| Volume | 26 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2015 |
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All Science Journal Classification (ASJC) codes
- Endocrinology, Diabetes and Metabolism
- Medicine(all)
Cite this
Anthropometric models of bone mineral content and areal bone mineral density based on the bone mineral density in childhood study. / Short, D. F.; Gilsanz, V.; Kalkwarf, H. J.; Lappe, Joan M.; Oberfield, S.; Shepherd, J. A.; Winer, K. K.; Zemel, B. S.; Hangartner, T. N.
In: Osteoporosis International, Vol. 26, No. 3, 2015, p. 1099-1108.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Anthropometric models of bone mineral content and areal bone mineral density based on the bone mineral density in childhood study
AU - Short, D. F.
AU - Gilsanz, V.
AU - Kalkwarf, H. J.
AU - Lappe, Joan M.
AU - Oberfield, S.
AU - Shepherd, J. A.
AU - Winer, K. K.
AU - Zemel, B. S.
AU - Hangartner, T. N.
PY - 2015
Y1 - 2015
N2 - Methods: We applied multivariate semi-metric smoothing to the various pediatric bone-measurement sites using data from the Bone Mineral Density in Childhood Study to evaluate which of sex, race, age, height, weight, percent body fat, and sexual maturity explain variations in the population’s bone mineral values. By balancing high adjusted R2 values with clinical needs, two models are examined.Results: At the spine, whole body, whole body sub head, total hip, hip neck, and forearm sites, models were created using sex, race, age, height, and weight as well as an additional set of models containing these anthropometric variables and percent body fat. For bone mineral density, weight is more important than percent body fat, which is more important than height. For bone mineral content, the order varied by site with body fat being the weakest component. Including more anthropometrics in the model reduces the overlap of the critical groups, identified as those individuals with a Z-score below −2, from the standard sex, race, and age model.Summary: New models describing anthropometrically adjusted normal values of bone mineral density and content in children have been created for the various measurement sites. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.Introduction: Previous descriptions of children’s bone mineral measurements by age have focused on segmenting diverse populations by race and sex without adjusting for anthropometric variables or have included the effects of a single anthropometric variable.Conclusions: If body fat is not available, the simpler model including height and weight should be used. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.
AB - Methods: We applied multivariate semi-metric smoothing to the various pediatric bone-measurement sites using data from the Bone Mineral Density in Childhood Study to evaluate which of sex, race, age, height, weight, percent body fat, and sexual maturity explain variations in the population’s bone mineral values. By balancing high adjusted R2 values with clinical needs, two models are examined.Results: At the spine, whole body, whole body sub head, total hip, hip neck, and forearm sites, models were created using sex, race, age, height, and weight as well as an additional set of models containing these anthropometric variables and percent body fat. For bone mineral density, weight is more important than percent body fat, which is more important than height. For bone mineral content, the order varied by site with body fat being the weakest component. Including more anthropometrics in the model reduces the overlap of the critical groups, identified as those individuals with a Z-score below −2, from the standard sex, race, and age model.Summary: New models describing anthropometrically adjusted normal values of bone mineral density and content in children have been created for the various measurement sites. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.Introduction: Previous descriptions of children’s bone mineral measurements by age have focused on segmenting diverse populations by race and sex without adjusting for anthropometric variables or have included the effects of a single anthropometric variable.Conclusions: If body fat is not available, the simpler model including height and weight should be used. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.
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U2 - 10.1007/s00198-014-2916-x
DO - 10.1007/s00198-014-2916-x
M3 - Article
VL - 26
SP - 1099
EP - 1108
JO - Osteoporosis International
JF - Osteoporosis International
SN - 0937-941X
IS - 3
ER -