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Prediction of adult stature for Japanese population: a stepwise regression approach
1Laboratory of Human Morphology, Graduate School of Science, Tokyo Metropolitan University, Hachiojishi, Japan.
Abstract:
The longitudinal growth in stature for 509 males and 311 females was characterized from early childhood to adulthood. A triphasic generalized logistic (BTT) model (Bock et al. [1994] Chicago: SSI) was used through the AUXAL software program. Growth parameters were derived from the estimated distance and velocity curves for each individual. A set of estimated growth parameters, including adult stature, was selected to develop equations, through the forward stepwise regression method, for the prediction of adult stature for Japanese boys and girls.
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