Risk-Taking Behaviour among Vehicle Users at an Intersection Road N. Yusoff1, N. K. Khamis2, N....Full text
Anthropometric Study of Arm Span Length and Standing Height of 5 - 12years Pupils in Obantoko, Ogun State, South Western Nigeria
Adekunle I. MUSA1*, Ayomide I. MUSA2
1*Department of Mechanical Engineering, Olabisi Onabanjo University, Ago Iwoye, Ibogun Campus, Nigeria
2Department of Mechanical Engineering, Bells University of Technology, Ota, Nigeria
*Corresponding author email: email@example.com
Page 49 – 59 | Vol. 7 No. 2 2022 | Available online on 30 Dec 2022
Height is an essential and important anthropometric parameter for coroners and forensic anthropologists. Several studies have been performed to determine standing height (SH) using various anthropometric body parts. Arm span length (ASL) is recognized as an alternative means of measuring standing height for the disabled, adaptive, or unable to stand upright. This study was conducted to measure the height of pupils from the age 5 to the 12 years old using ASL A total of 440 pupils (220 male and 220 female) participated in the study and the study was conducted in Obantoko Ogun State in Southwestern Nigeria. The Participants’ actual standing height were measured with a digital stadiometer and ASL with a tape measure to within 0.1 cm. Results showed the mean SH of 133.23 ± 9.97 cm (male participants), 123.21 ± 11.25 cm (female participants), and 128.27 ± 11.75 cm (pooled) and mean ASL of 133.66 ± 9.88 cm, 123.83 ± 11.01, and 128.75 ± 11.55 cm respectively. The correlation (r) between SH and ASL was 0.999 (p<0.000) with a coefficient of determination (R2) of 99.8%. A regression models was developed to determine SH from the ASL. This study concludes that ASL is a reliable predictor of SH for both sexes and also a veritable tool for physical anthropologists and related professionals. The authors recommend conducting a larger sample study in six southwestern Nigerian states to develop a database for determining SH.
SH, ASL, Prediction, Obantoko, Anthropometric, Regression.
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