Title

Height Prediction from Anthropometric Length Parameters in Thai People

Translated Titles

藉由體長參數預測泰國人的身高

DOI

10.6133/apjcn.2012.21.3.04

Authors

Kaweesak Chittawatanarat;Sakda Pruenglampoo Msc;Vibul Trakulhoon;Winai Ungpinitpong;Jayanton Patumanond

Key Words

體位 ; 體位測量 ; 身高 ; 線性模式 ; 泰國人 ; anthropometry ; body measure ; body height ; linear models ; Thai

PublicationName

Asia Pacific Journal of Clinical Nutrition

Volume or Term/Year and Month of Publication

21卷3期(2012 / 09 / 01)

Page #

347 - 354

Content Language

英文

Chinese Abstract

身高為一個重要的臨床參數。然而對於特定的臨床狀態,卻沒有一個專一的測量方法。雖然有許多體位測量方法被建議用來估量泰國人民的身高,但尚未有一個公式用於計算身高。這篇研究之目的在於發展出一個有效且能用以預測身高的公式。將2000位自願者根據年齡及性別加以區分。模式組及效度組再進一步獨立區分。用線性迴歸分析產生預測模式。共測量10個參數並放入分析。在這10個參數當中,中指尖到胸骨中心的距離、坐高及膝高與身高的相關係數,無論在男性或女性,及在各年齡層均大於0.5,且皆具有顯著相關。接著提出這3個參數單獨、具有高預測值的雙變項(坐高與膝高)及三變項的迴歸模式,並加以修飾成簡化的公式。在進行原始及簡化公式的效度檢測後,發現兩者在相關係數、量性誤差及相對誤差都不相上下。按照誤差上限10公分的條件下,簡化的公式在效度組有大於90%的精確度(範圍是89.7%至99.0%)。而這些單獨變項中,膝高在各組別有最小的預測誤差。雙變項及三變項模式只有在年輕族群有降低誤差。總結而論,體位參數中以中指尖到體中央的距離、坐高、膝高以及兩者或三者合併模式可用來預測泰國成人的身高,而其誤差是可以被接受的範圍。但這些公式應只被用於無法直接測量身高的人。

English Abstract

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.

Topic Category 醫藥衛生 > 預防保健與衛生學