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Comparative Analysis of Male Cyclist Population in Four Asia Countries for Anthropometric Measurements

Author

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  • Arunachalam Muthiah

    (School of Industrial Design, Karnavati University, Gandhinagar 342422, Gujarat, India)

  • Yu-Chi Lee

    (College of Management and Design, Ming Chi University of Technology, New Taipei City 243303, Taiwan)

Abstract

This study aimed to compare the anthropometric variables of male cyclist samples from India, China, Singapore, and Taiwan. The cyclist’s body dimensions were measured among 413 randomly chosen males (aged between 18 to 60), which included 104 Indians, 106 Taiwanese, 100 Singaporeans, and 103 Chinese. Based on the previous research articles, the considered 17 anthropometric variables were weight, stature, BMI, buttock extension, shoulder height (sitting), shoulder-elbow length, elbow height (sitting), lower leg length, knee height, acromion-grip length, hand length, elbow-hand length, buttock-popliteal length, buttock-knee length, elbow-to-elbow breadth, hip breadth (sitting), and foot breadth. Using statistical techniques (descriptive statistics, the Mann–Whitney U test, and Kruskal–Wallis H test), the data were analysed in SPSS, version 25.0. The results of the statistical analyses showed significant differences among the cyclists across selected anthropometric characteristics, except for the weight and sitting-related anthropometric measurements. The outcome of the descriptive statistics (percentile values), such as the percentile range (5th to 95th percentile), could be applied to the seat-height adjustment system to cover 95% of the bicyclist population. These types of implantation could enhance the ergonomic benefits for the bicyclist.

Suggested Citation

  • Arunachalam Muthiah & Yu-Chi Lee, 2022. "Comparative Analysis of Male Cyclist Population in Four Asia Countries for Anthropometric Measurements," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10078-:d:888670
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    References listed on IDEAS

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    1. Assunçao-Denis, Marie-Ève & Tomalty, Ray, 2019. "Increasing cycling for transportation in Canadian communities: Understanding what works," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 288-304.
    2. Pucher, John & Buehler, Ralph & Seinen, Mark, 2011. "Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 451-475, July.
    3. Chen, Ching-Fu & Chen, Pei-Chun, 2013. "Estimating recreational cyclists’ preferences for bicycle routes – Evidence from Taiwan," Transport Policy, Elsevier, vol. 26(C), pages 23-30.
    4. Rachel Aldred & James Woodcock & Anna Goodman, 2016. "Does More Cycling Mean More Diversity in Cycling?," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 28-44, January.
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