Height prediction from anthropometric length parameters in Thai people

Height is an important clinical parameter. However, there were no specific measurements available for particular clinical situations. Although many anthropometric measurements were suggested, no formula was recommended in Thailand. The objective of this study was to develop a formula for height pred...

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Main Authors: Chittawatanarat K., Pruenglampoo S., Trakulhoon V., Ungpinitpong W., Patumanond J.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84865608725&partnerID=40&md5=b7e41d1e3f686d912af0ffab6da14182
http://cmuir.cmu.ac.th/handle/6653943832/1666
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-16662014-08-29T09:36:03Z Height prediction from anthropometric length parameters in Thai people Chittawatanarat K. Pruenglampoo S. Trakulhoon V. Ungpinitpong W. Patumanond J. Height is an important clinical parameter. However, there were no specific measurements available for particular clinical situations. Although many anthropometric measurements were suggested, no formula was recommended in Thailand. The objective of this study was to develop a formula for height prediction with acceptable validity. Two thousand volunteers were included and were divided consecutively according to both age and gender. Model and validation groups were further separated independently. Linear regression was analyzed to create a predictive formula. Ten parameters were included and analyzed. Of these, demispan, sitting height and knee height were selected with a correlation coefficient of more than 0.5 and significant F test in all age groups and genders. All single parameters and the highest predictive value of double (sitting and knee height) and triple regression models (demispan, sitting and knee height) were proposed and these were modified into a simple formula. After validation of both formulas the correlation, quantitative error and relative error were comparable. The simple formula had more than 90% precision with an error of up to 10 cm in the validation group (89.7 to 99.0% in range). Of these, knee height had the least predictive error in all subgroups. The double and triple models had decreased error only in the younger group. In summary, anthropometric parameters with demispan, sitting height, knee height and combination could be applied to height prediction in the adult Thai with acceptable error. These formulas should be applied only in people who could not be directly measured. 2014-08-29T09:36:03Z 2014-08-29T09:36:03Z 2012 Article 9647058 http://www.scopus.com/inward/record.url?eid=2-s2.0-84865608725&partnerID=40&md5=b7e41d1e3f686d912af0ffab6da14182 http://cmuir.cmu.ac.th/handle/6653943832/1666 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description Height is an important clinical parameter. However, there were no specific measurements available for particular clinical situations. Although many anthropometric measurements were suggested, no formula was recommended in Thailand. The objective of this study was to develop a formula for height prediction with acceptable validity. Two thousand volunteers were included and were divided consecutively according to both age and gender. Model and validation groups were further separated independently. Linear regression was analyzed to create a predictive formula. Ten parameters were included and analyzed. Of these, demispan, sitting height and knee height were selected with a correlation coefficient of more than 0.5 and significant F test in all age groups and genders. All single parameters and the highest predictive value of double (sitting and knee height) and triple regression models (demispan, sitting and knee height) were proposed and these were modified into a simple formula. After validation of both formulas the correlation, quantitative error and relative error were comparable. The simple formula had more than 90% precision with an error of up to 10 cm in the validation group (89.7 to 99.0% in range). Of these, knee height had the least predictive error in all subgroups. The double and triple models had decreased error only in the younger group. In summary, anthropometric parameters with demispan, sitting height, knee height and combination could be applied to height prediction in the adult Thai with acceptable error. These formulas should be applied only in people who could not be directly measured.
format Article
author Chittawatanarat K.
Pruenglampoo S.
Trakulhoon V.
Ungpinitpong W.
Patumanond J.
spellingShingle Chittawatanarat K.
Pruenglampoo S.
Trakulhoon V.
Ungpinitpong W.
Patumanond J.
Height prediction from anthropometric length parameters in Thai people
author_facet Chittawatanarat K.
Pruenglampoo S.
Trakulhoon V.
Ungpinitpong W.
Patumanond J.
author_sort Chittawatanarat K.
title Height prediction from anthropometric length parameters in Thai people
title_short Height prediction from anthropometric length parameters in Thai people
title_full Height prediction from anthropometric length parameters in Thai people
title_fullStr Height prediction from anthropometric length parameters in Thai people
title_full_unstemmed Height prediction from anthropometric length parameters in Thai people
title_sort height prediction from anthropometric length parameters in thai people
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84865608725&partnerID=40&md5=b7e41d1e3f686d912af0ffab6da14182
http://cmuir.cmu.ac.th/handle/6653943832/1666
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