Lahner Christen Renée, Kassier Susanna Maria, Veldman Frederick Johannes
University of KwaZulu-Natal,Dietetics and Human Nutrition,School of Agricultural,Earth and Environmental Sciences,College of Agriculture,Engineering and Science,Pietermaritzburg, KwaZulu-Natal,South Africa.
Public Health Nutr. 2017 Feb;20(2):210-219. doi: 10.1017/S1368980016002330. Epub 2016 Sep 9.
To investigate the accuracy of arm-associated height estimation methods in the calculation of true height compared with stretch stature in a sample of young South African adults.
A cross-sectional descriptive design was employed.
Pietermaritzburg, Westville and Durban, KwaZulu-Natal, South Africa, 2015.
Convenience sample (N 900) aged 18-24 years, which included an equal number of participants from both genders (150 per gender) stratified across race (Caucasian, Black African and Indian).
Continuous variables that were investigated included: (i) stretch stature; (ii) total armspan; (iii) half-armspan; (iv) half-armspan ×2; (v) demi-span; (vi) demi-span gender-specific equation; (vii) WHO equation; and (viii) WHO-adjusted equations; as well as categorization according to gender and race. Statistical analysis was conducted using IBM SPSS Statistics Version 21.0. Significant correlations were identified between gender and height estimation measurements, with males being anatomically larger than females (P<0·001). Significant differences were documented when study participants were stratified according to race and gender (P<0·001). Anatomical similarities were noted between Indians and Black Africans, whereas Caucasians were anatomically different from the other race groups. Arm-associated height estimation methods were able to estimate true height; however, each method was specific to each gender and race group.
Height can be calculated by using arm-associated measurements. Although universal equations for estimating true height exist, for the enhancement of accuracy, the use of equations that are race-, gender- and population-specific should be considered.
在一组南非年轻成年人样本中,研究与手臂相关的身高估算方法在计算真实身高方面相对于伸展身高的准确性。
采用横断面描述性设计。
南非夸祖鲁 - 纳塔尔省彼得马里茨堡、韦斯特维尔和德班,2015年。
便利样本(N = 900),年龄在18 - 24岁之间,包括相同数量的男性和女性参与者(各性别150人),按种族(白种人、黑非洲人和印度人)分层。
所研究的连续变量包括:(i)伸展身高;(ii)双臂总长度;(iii)半臂长度;(iv)半臂长度×2;(v)半跨度;(vi)半跨度特定性别的方程;(vii)世界卫生组织(WHO)方程;以及(viii)WHO调整方程;同时还按性别和种族进行了分类。使用IBM SPSS Statistics 21.0版本进行统计分析。在性别与身高估算测量值之间发现了显著相关性,男性在解剖学上比女性更大(P<0.001)。当研究参与者按种族和性别分层时记录到显著差异(P<0.001)。注意到印度人和黑非洲人在解剖学上有相似之处,而白种人与其他种族群体在解剖学上不同。与手臂相关的身高估算方法能够估算真实身高;然而,每种方法都特定于每个性别和种族群体。
可以通过使用与手臂相关的测量值来计算身高。尽管存在用于估算真实身高的通用方程,但为了提高准确性,应考虑使用特定于种族、性别和人群的方程。