Abstract
OBJECTIVE: 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. METHODS: 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: 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). CONCLUSION: 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.