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用于开发呼吸器适合性测试面板以及评估具有不同面罩密封设计的过滤式面罩呼吸器适合性的中小头面部尺寸特征

Characterization of small-to-medium head-and-face dimensions for developing respirator fit test panels and evaluating fit of filtering facepiece respirators with different faceseal design.

作者信息

Lin Yi-Chun, Chen Chen-Peng

机构信息

Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.

Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan.

出版信息

PLoS One. 2017 Nov 27;12(11):e0188638. doi: 10.1371/journal.pone.0188638. eCollection 2017.

Abstract

A respirator fit test panel (RFTP) with facial size distribution representative of intended users is essential to the evaluation of respirator fit for new models of respirators. In this study an anthropometric survey was conducted among youths representing respirator users in mid-Taiwan to characterize head-and-face dimensions key to RFTPs for application to small-to-medium facial features. The participants were fit-tested for three N95 masks of different facepiece design and the results compared to facial size distribution specified in the RFTPs of bivariate and principal component analysis design developed in this study to realize the influence of facial characteristics to respirator fit in relation to facepiece design. Nineteen dimensions were measured for 206 participants. In fit testing the qualitative fit test (QLFT) procedures prescribed by the U.S. Occupational Safety and Health Administration were adopted. As the results show, the bizygomatic breadth of the male and female participants were 90.1 and 90.8% of their counterparts reported for the U.S. youths (P < 0.001), respectively. Compared to the bivariate distribution, the PCA design better accommodated variation in facial contours among different respirator user groups or populations, with the RFTPs reported in this study and from literature consistently covering over 92% of the participants. Overall, the facial fit of filtering facepieces increased with increasing facial dimensions. The total percentages of the tests wherein the final maneuver being completed was "Moving head up-and-down", "Talking" or "Bending over" in bivariate and PCA RFTPs were 13.3-61.9% and 22.9-52.8%, respectively. The respirators with a three-panel flat fold structured in the facepiece provided greater fit, particularly when the users moved heads. When the facial size distribution in a bivariate RFTP did not sufficiently represent petite facial size, the fit testing was inclined to overestimate the general fit, thus for small-to-medium facial dimensions a distinct RFTP should be considered.

摘要

对于新型呼吸器的适配性评估而言,具备代表目标用户面部尺寸分布的呼吸器适配性测试面板(RFTP)至关重要。在本研究中,针对代表台湾中部呼吸器使用者的青年群体开展了人体测量调查,以确定对于适用于中小面部特征的RFTP而言至关重要的头面部尺寸。对参与者进行了三种不同面罩设计的N95口罩适配性测试,并将结果与本研究开发的双变量和主成分分析设计的RFTP中规定的面部尺寸分布进行比较,以了解面部特征对与面罩设计相关的呼吸器适配性的影响。对206名参与者测量了19个维度。在适配性测试中,采用了美国职业安全与健康管理局规定的定性适配性测试(QLFT)程序。结果显示,男性和女性参与者的颧宽分别为美国青年报告值的90.1%和90.8%(P < 0.001)。与双变量分布相比,主成分分析设计能更好地适应不同呼吸器用户群体或人群面部轮廓的变化,本研究报告的RFTP以及文献中的RFTP一致覆盖了超过92%的参与者。总体而言,过滤式面罩的面部适配性随面部尺寸增加而提高。在双变量和主成分分析RFTP中,最终动作完成时为“上下移动头部”“说话”或“弯腰”的测试总百分比分别为13.3 - 61.9%和22.9 - 52.8%。面罩采用三板平折结构的呼吸器提供了更好的适配性,尤其是当使用者移动头部时。当双变量RFTP中的面部尺寸分布不能充分代表较小的面部尺寸时,适配性测试往往会高估总体适配性,因此对于中小面部尺寸应考虑采用独特的RFTP。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a962/5703559/52041fbc8702/pone.0188638.g001.jpg

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