Prediction of Stature According to Three Head Measurements

Morphometry is a non-invasive method important to assess the size, proportions, and composition of the human body. Because the prediction is an important subject in almost all life sciences, the aim of this research was to find out the cephalofacial variables that may predict the body height. Three...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Rexhepi,Agron M, Brestovci,Behlul
Lenguaje:English
Publicado: Sociedad Chilena de Anatomía 2015
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022015000300055
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0717-95022015000300055
record_format dspace
spelling oai:scielo:S0717-950220150003000552015-12-04Prediction of Stature According to Three Head MeasurementsRexhepi,Agron MBrestovci,Behlul Morphometry Cephalofacial variables Stature Regression analysis Morphometry is a non-invasive method important to assess the size, proportions, and composition of the human body. Because the prediction is an important subject in almost all life sciences, the aim of this research was to find out the cephalofacial variables that may predict the body height. Three cephalofacial variables and the body height were measured on 288 adult male subjects of the Kosovo Albanian population, aged 18­35 years old. Using the procedures of regressive analysis we found that cephalofacial variables: head height, head circumferences, face height, significantly may predict body height, and in this way we derived the specific regression equation for estimation of the body height, based on these cephalofacial variables. The predicted body height, has relatively high significant correlation (0.512) with true body height, as well as paired T-test indicates significant similarity between these two variables.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.33 n.3 20152015-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022015000300055en10.4067/S0717-95022015000300055
institution Scielo Chile
collection Scielo Chile
language English
topic Morphometry
Cephalofacial variables
Stature
Regression analysis
spellingShingle Morphometry
Cephalofacial variables
Stature
Regression analysis
Rexhepi,Agron M
Brestovci,Behlul
Prediction of Stature According to Three Head Measurements
description Morphometry is a non-invasive method important to assess the size, proportions, and composition of the human body. Because the prediction is an important subject in almost all life sciences, the aim of this research was to find out the cephalofacial variables that may predict the body height. Three cephalofacial variables and the body height were measured on 288 adult male subjects of the Kosovo Albanian population, aged 18­35 years old. Using the procedures of regressive analysis we found that cephalofacial variables: head height, head circumferences, face height, significantly may predict body height, and in this way we derived the specific regression equation for estimation of the body height, based on these cephalofacial variables. The predicted body height, has relatively high significant correlation (0.512) with true body height, as well as paired T-test indicates significant similarity between these two variables.
author Rexhepi,Agron M
Brestovci,Behlul
author_facet Rexhepi,Agron M
Brestovci,Behlul
author_sort Rexhepi,Agron M
title Prediction of Stature According to Three Head Measurements
title_short Prediction of Stature According to Three Head Measurements
title_full Prediction of Stature According to Three Head Measurements
title_fullStr Prediction of Stature According to Three Head Measurements
title_full_unstemmed Prediction of Stature According to Three Head Measurements
title_sort prediction of stature according to three head measurements
publisher Sociedad Chilena de Anatomía
publishDate 2015
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022015000300055
work_keys_str_mv AT rexhepiagronm predictionofstatureaccordingtothreeheadmeasurements
AT brestovcibehlul predictionofstatureaccordingtothreeheadmeasurements
_version_ 1718444931616342016