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Назив: Body Height and Its Estimation Utilizing Arm Span Measurements in Serbian Adults
Аутори: Popovic, Stevo
Bjelica, Dusko
Molnar , Slavko 
Jakšić, Damjan 
Akpinar, Selcuk
Кључне речи: Prediction;Standing height;Stature;Armspan;Serbia
Датум издавања: мар-2013
Часопис: International Journal of Morphology
Сажетак: Anthropologists recognized the tallness of nations in the Dinaric Alps long time ago. As the modern Serbians fall more into the Dinaric racial classification than any other does, the purpose of this study was to examine the body height in Serbian adults as well as the relationship between arm span as an alternative to estimating the body height, which vary in different ethnic and racial groups. The nature and scope of this study analyzes 394 students (318 men, aged 20.13±1.47 and 76 women, aged 19.59±1.46) from the University of Novi Sad to be subjects. The anthropometric measurements were taken according to the protocol of the ISAK. Means and standard deviations were obtained. A comparison of means of body heights and arm spans within each gender group and between genders were carried out using a t-test. The relationships between body height and arm span were determined using simple correlation coefficients and their 95% confidence interval. Then a linear regression analysis was performed to examine the extent to which the arm span can reliably predict body height. The results have shown that male Serbians are 181.96±6.74 cm tall and have an arm span of 184.78±8.41 cm, while female Serbians are 166.82±5.88 cm tall and have an arm span of 164.67±8.09 cm. Compared to other studies, the results of this study have shown that both genders make Serbian population one of the tallest nations on the earth. Moreover, the arm span reliably predicts body height in both genders. However, the estimation equations, which were obtained in Serbians, are substantially different alike in other populations, since arm span was close to body heights: in men 2.82±4.89 cm more than the body height and in women 2.15±4.68 cm less than the body height. This confirms the necessity for developing separate height models for each population.
URI: https://open.uns.ac.rs/handle/123456789/9099
ISSN: 0717-9367
DOI: 10.4067/S0717-95022013000100043
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