Head-and-face anthropometric survey of US respirator users
Head-and-face anthropometric survey of US respirator users
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DOI：
10.1080/15459620500324727
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发表时间：
2005-11-01
影响因子：
2
通讯作者：
Bradtmiller, B
中科院分区：
文献类型：
--
作者：
Zhuang, ZQ;Bradtmiller, B
军用呼吸器的尺寸数据一直是商用呼吸器尺寸的标准依据。1950年代和1960年代为军龄男性和女性编制的人体测量数据今天仍在使用，构成了关于这一主题的唯一全面信息。这项研究的双重目标是：（1）开发一个人体测量数据库，使用传统测量方法和三维扫描系统详细描述呼吸器使用者的面部尺寸分布;（2）使用该数据库建立适合的测试面板，将其纳入国家职业安全与健康研究所的呼吸器认证和国际标准。采用分层抽样计划，包括3个年龄分层、2个性别分层和4个人种/种族分层。该计划要求每个牢房的抽样人数相等，为166人。受试者来自8个州的41个研究中心。除了身高和体重外，还使用传统方法测量了18个面部尺寸和颈围。共有3997名受试者使用传统方法进行了测量，其中1013人还使用3D头部扫描仪进行了扫描。由于这是一个志愿者样本，受试者没有出现在抽样计划所需的特定比例中。所得数据经过加权以对应美国人口。本文仅对传统测量数据进行了汇总统计，对本研究数据和军事数据的多变量分析表明，使用历史军事数据不足以描述当前美国劳动力的人体测量变异性。
Sizing data generated by the military for use in fitting respirators have been the normative basis for commercial respirator sizing. Anthropometric data developed for males and females of military age in the 1950s and 1960s are still in use today and form the only comprehensive body of information available on this subject. The twofold objective of this study was to: (1) develop an anthropometric database detailing the face size distributions of respirator users using both traditional measurement methods and three-dimensional scanning systems; and (2) use the database to establish fit test panels to be incorporated into the National Institute for Occupational Safety and Health's respirator certification and international standards. A stratified sampling plan was used with three age strata, two gender strata, and four race/ethnic group strata. The plan called for an equal sample size of 166 in each cell. Subjects were obtained at 41 sites from 8 states. In addition to height and weight, 18 facial dimensions and neck circumferences were measured using traditional methods. A total of 3997 subjects were measured using traditional methods, and 1013 of them were also scanned using a 3-D head scanner As this was a volunteer sample, subjects did not appear in the specific proportions needed for the sampling plan. The resulting data were weighted to correspond to the U.S. population. This article presents the summary statistics for the traditional measurement data only Multivariate analyses of the data from this study and military data revealed that using historical military data would be inadequate for describing the anthropometric variability of the current U.S. workforce.