title: Prediction of adult stature for Japanese population: a stepwise regression approach.
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.
authors.affiliation: Laboratory of Human Morphology, Graduate School of Science, Tokyo Metropolitan University, Hachiojishi, Japan.
authors.forename: M A
authors.initials: MA
authors.lastname: Ali
authors.forename: F
authors.initials: F
authors.lastname: Ohtsuki
mesh_terms: D000293:Adolescent; D000328:Adult; D000886:Anthropometry / Q000379:methods; D015982:Bias; D001827:Body Height; D002648:Child; D002657:Child Development; D002675:Child, Preschool; D005260:Female; D006128:Growth; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007564:Japan; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D011237:Predictive Value of Tests