Anthropometric survey of respirator users.
Public Domain
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2001/10/01
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By Zhuang Z
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Description:The two-fold objective of this study is to: 1) develop an anthropometric database detailing the face-size distributions of respirator users using both traditional measurement methods and three-dimensional (3-D) 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 (NIOSH) respirator certification program. The subjects will be recruited from various industries in which workers rely on respirators to prevent work-related respiratory illnesses, injuries, and death (e.g., manufacturing, construction, mining, and health care). The project will also address the respiratory protection concerns of first responders of chemical and biological terrorism and other crisis situations. Thus, subjects will also include law enforcement officers, firefighters, and health care workers. Height and weight plus 18 facial dimensions will be measured with traditional methods. Each subject's gender, race, and age will be recorded. A total of 4,000 subjects will be measured using traditional methods, and 1,000 of them will be scanned using a 3-D head scanner (Cyberware Model 3030/RGB). Three-dimensional anthropometry has only been available recently, and there is no track record of applying scan data to respirators. This study will provide preliminary data on which to develop methods for sizing and designing respirators and protective eyewear using 3-D scan data. The source population for this study will be the nationwide worker population. A specific sub-segment of the population is being targeted for this study.
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Pages in Document:1-74
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NIOSHTIC Number:nn:20033431
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Citation:NIOSH 2001 Oct; :1-74
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Federal Fiscal Year:2002
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Peer Reviewed:False
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Source Full Name:National Institute for Occupational Safety and Health
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Main Document Checksum:urn:sha-512:fa58418d65d09a6c798203aa097f96e8e7fcedd225f0d9fc9a45f606dc3340da6eed5486a5391dde58a13abacab2d1da61ab235296d45be37ee933fba5dc643c
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