Shi, Y orcid.org/0000-0001-8396-8444, Shen, H, Taylor, LW et al. (1 more author) (2020) The impact of age and body mass index on a bra sizing system formed by anthropometric measurements of Sichuan Chinese females. Ergonomics, 63 (11). pp. 1434-1441. ISSN 0014-0139
Abstract
Existing bra sizing systems are based only on bust and underbust girths, which do not guarantee an accurate fit or comfort for consumers. This study presents a comprehensive investigation of the impact of age and body mass index (BMI) on bra sizing systems, and the distributions of band and cup sizes based on anthropometric measurement data. The first four principal components were extracted by principal component analysis, and the factor loadings of age and BMI were found to be significant determinants of bra size along with 12 other variables. Furthermore, chi-square analysis revealed that bra size allocations were significantly influenced by age and BMI. Thus, we propose that age and BMI should be considered as auxiliary criteria for the bra sizing system. Taken together, these findings will be of value to designers and bra manufacturers in developing well-fitting bras for their target consumers, and to consumers for selecting well-fitting bras with confidence.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Ergonomics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Bra sizing system, principal component analysis, age, body mass index |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jul 2020 14:27 |
Last Modified: | 13 Jul 2021 00:38 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/00140139.2020.1795276 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:163214 |