A pilot study of gender differences on anthropometric measurements in Singapore population
This pilot study aims to collect 37 body dimensions within 12 standing and 25 sitting posture from 100 subjects and to investigate the gender difference of the subjects, aged from 17 to 60 years old. The mean stature, weight, and body mass index were 173.2 cm, 69.5 kg and 23.2 kg/m2 for the Singapor...
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sg-ntu-dr.10356-1403282020-05-28T03:28:29Z A pilot study of gender differences on anthropometric measurements in Singapore population Lee, Yu-Chi Chen, Chun-Hsien Khoo, Li Pheng School of Mechanical and Aerospace Engineering International Conference on Applied Human Factors and Ergonomics (AHFE 2017) Engineering::Civil engineering Gender Difference Body Dimensions This pilot study aims to collect 37 body dimensions within 12 standing and 25 sitting posture from 100 subjects and to investigate the gender difference of the subjects, aged from 17 to 60 years old. The mean stature, weight, and body mass index were 173.2 cm, 69.5 kg and 23.2 kg/m2 for the Singapore males, and 161.1 cm, 56.8 kg and 21.9 kg/m2 for the Singapore females, respectively. The t-test results showed that gender effect was significant in 36 measurements, except sitting elbow height, chest depth and head breadth. Singapore males had larger body dimensions than females; differences between genders were about 0.7 to 17.4 cm. In addition, the correlations between selected dimensions was also demonstrated. Overall, the anthropometric data of this study can be utilized in ergonomic product, equipment and workstation design. MOE (Min. of Education, S’pore) 2020-05-28T03:28:28Z 2020-05-28T03:28:28Z 2017 Conference Paper Lee, Y.-C., Chen, C.-H., & Khoo, L. P. (2018). A pilot study of gender differences on anthropometric measurements in Singapore population. Proceedings of the AHFE 2017 International Conference on Physical Ergonomics and Human Factors, 42-51. doi:10.1007/978-3-319-60825-9_5 9783319608242 https://hdl.handle.net/10356/140328 10.1007/978-3-319-60825-9_5 2-s2.0-85022337960 42 51 en © 2018 Springer International Publishing AG. All rights reserved. |
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Engineering::Civil engineering Gender Difference Body Dimensions Lee, Yu-Chi Chen, Chun-Hsien Khoo, Li Pheng A pilot study of gender differences on anthropometric measurements in Singapore population |
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This pilot study aims to collect 37 body dimensions within 12 standing and 25 sitting posture from 100 subjects and to investigate the gender difference of the subjects, aged from 17 to 60 years old. The mean stature, weight, and body mass index were 173.2 cm, 69.5 kg and 23.2 kg/m2 for the Singapore males, and 161.1 cm, 56.8 kg and 21.9 kg/m2 for the Singapore females, respectively. The t-test results showed that gender effect was significant in 36 measurements, except sitting elbow height, chest depth and head breadth. Singapore males had larger body dimensions than females; differences between genders were about 0.7 to 17.4 cm. In addition, the correlations between selected dimensions was also demonstrated. Overall, the anthropometric data of this study can be utilized in ergonomic product, equipment and workstation design. |
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School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Lee, Yu-Chi Chen, Chun-Hsien Khoo, Li Pheng |
format |
Conference or Workshop Item |
author |
Lee, Yu-Chi Chen, Chun-Hsien Khoo, Li Pheng |
author_sort |
Lee, Yu-Chi |
title |
A pilot study of gender differences on anthropometric measurements in Singapore population |
title_short |
A pilot study of gender differences on anthropometric measurements in Singapore population |
title_full |
A pilot study of gender differences on anthropometric measurements in Singapore population |
title_fullStr |
A pilot study of gender differences on anthropometric measurements in Singapore population |
title_full_unstemmed |
A pilot study of gender differences on anthropometric measurements in Singapore population |
title_sort |
pilot study of gender differences on anthropometric measurements in singapore population |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/140328 |
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1681056613040914432 |