Recapturing the Sizing Issues of Respirator Fit-Test Panels for Emergency Response
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2002/09/29
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Description:Ill-fit respirators may compromise the ability of emergency responders to act effectively in hazardous situations. This study reevaluated the Los Alamos National Laboratory (LANL) respirator fit-test panels for their effectiveness to provide sizing reference for the US military and civilian populations. The LANL panels were developed in 1974 based on the 1967-68 US Air Force Anthropometry Survey. The 1988-89 US Army Anthropometry Survey and the Civilian American and European Surface Anthropometry Resource (CAESAR ) were involved in this evaluation. Data on face length and face width from the Army survey or CAESAR were fed into the full-facepiece panel, and data on face length and lip length from the Army survey were fed into the half-facepiece panel. Any individual whose bivariate dimensions fell out of panel boundaries was considered to be not accommodated. With adjusted racial distribution, the full- and half-facepiece panels were able to accommodate 90.1% and 93.1%, respectively, of the Army survey population. The full-facepiece panel was able to accommodate only 85% the CAESAR population. There was insufficient information for evaluating the ability of the half-facepiece panel to accommodate the CAESAR population. The LANL panels should be revised so that they can fit 95% of the current civilian population. [Description provided by NIOSH]
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Pages in Document:1-29
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NIOSHTIC Number:nn:20023162
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Citation:International Society for Respiratory Protection 11th International Conference, Edinburgh, Scotland, September 29 - October 3, 2002. International Society for Respiratory Protection, 2002 Sep-Oct; :1-29
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Federal Fiscal Year:2002
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Peer Reviewed:False
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Source Full Name:International Society for Respiratory Protection 11th International Conference, Edinburgh, Scotland, September 29 - October 3, 2002
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Main Document Checksum:urn:sha-512:ce024e9cd25e7646cb02ae5f0eb3d231de6926d4600780100ba2fd78d9322f00c9d3a9332f6bf5d89a86b505c707486c0b5b801f95866c94de45a693a40fdbd5
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