Hobbs-Murphy Kayna, Brazile William J, Morris Kristen, Rosecrance John
Department of Design and Merchandising, Colorado State University, 1574 Campus Delivery, Fort Collins, CO 80523-1574, United States.
Department of Environmental and Radiological Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO 80523-1681, United States.
Ann Work Expo Health. 2025 Apr 24;69(4):442-452. doi: 10.1093/annweh/wxaf012.
In response to limitations in foundational anthropometric research efforts as well as the increasingly diversifying workforce, researchers have attempted to define the presence or absence of differences in respirator-related facial measurements between different demographic groups. The purpose of the present study was to assess the presence of differences in facial measurements from 3D scans related to respirator fit, based on demographic factors of gender, race/ethnicity, and age in a sample of 2,022 3D scans.
Three-dimensional (3D) body scanning technology was used to gather facial measurement data. Principal components analysis (PCA) and multivariate analysis of variance (MANOVA) were employed to determine the presence or absence of differences in measurements from 3D scans between the demographic groups.
Results indicated that measurements from 3D scans related to respirator fit were significantly different for all groups within each demographic category (gender, race/ethnicity, and age).
The findings suggest that demographic factors such as gender, race/ethnicity, and age have a significant impact on facial measurements from 3D scans, which has implications for respirator fit and design considerations.
鉴于基础人体测量研究工作存在局限性以及劳动力日益多样化，研究人员试图确定不同人口群体在与呼吸器相关的面部测量方面是否存在差异。本研究的目的是在2022份三维扫描样本中，基于性别、种族/民族和年龄等人口统计学因素，评估与呼吸器适配相关的三维扫描面部测量中是否存在差异。
使用三维（3D）人体扫描技术收集面部测量数据。采用主成分分析（PCA）和多变量方差分析（MANOVA）来确定不同人口群体之间三维扫描测量结果是否存在差异。
结果表明，在每个人口统计学类别（性别、种族/民族和年龄）中的所有组，与呼吸器适配相关的三维扫描测量结果均存在显著差异。
研究结果表明，性别、种族/民族和年龄等人口统计学因素对三维扫描的面部测量有显著影响，这对呼吸器的适配和设计考量具有启示意义。
