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Analysis of 3D facial anthropometric measurements for respirator fit outcomes

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dc.contributor.authorHobbs-Murphy, Kayna, author
dc.contributor.authorRosecrance, John, advisor
dc.contributor.authorBrazile, Bill, committee member
dc.contributor.authorAnderson, Brooke, committee member
dc.contributor.authorMorris, Kristen, committee member
dc.contributor.authorHess, Ann, committee member
dc.date.accessioned2023-06-01T23:55:46Z
dc.date.available2023-06-01T23:55:46Z
dc.date.issued2023
dc.description.abstractAnthropometry is central to the development of efficacious products and environments (i.e., personal protective equipment, clothing, sunglasses, chairs, interior spaces, etc.) used by humans. Three-dimensional (3D) scanning is increasingly common for collecting anthropometric data, as it is faster and less intrusive than traditional manual methods. Additionally, 3D anthropometric methods used to derive facial dimensions provide greater contextual application in the development of respirators and facemasks. More than 2,000 3D facial scans were analyzed to assess measurement reliability and the dimensions of 27 facial features. This research represents the largest sample of 3D facial anthropometrics assessed to date. The three specific aims of the research included: 1) to assess the intra- and inter-rater reliability of 3D facial measurement methods, 2) to compare the 3D facial anthropometric summary statistics from the present study to relevant summary statistics from manual facial measurements found in the literature, and 3) to assess the presence of differences in 3D facial anthropometrics related to respirator fit, based on demographic factors of gender, race/ethnicity, and age. Post hoc analyses were completed to quantify 3D facial measurement differences between demographic groups (within the larger demographic categories of gender, race/ethnicity, and age group). The most notable results of this research include a) high reliability in 3D measurement data collection methods, b) differences in measurement data summary statistics between 3D and manual methods, and c) significant differences in facial measurements between demographic categories of gender (Male and Female/Other), race/ethnicity (White, Black, LatinX, Asian, and Other), and age (18-34, 35-54, and 55-72).
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierHobbsMurphy_colostate_0053A_17605.pdf
dc.identifier.urihttps://hdl.handle.net/10217/236643
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectanthropometrics
dc.subjectpersonal protective equipment
dc.subject3D scanning
dc.subjectrespirators
dc.subjectfacial anthropometrics
dc.titleAnalysis of 3D facial anthropometric measurements for respirator fit outcomes
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineEnvironmental and Radiological Health Sciences
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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