New Respirator Fit Test Panels Representing the Current U.S. Civilian Work Force

The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of U.S. Air Force personnel. Military data do not represent the great div...

Full description

Saved in:
Bibliographic Details
Published inJournal of occupational and environmental hygiene Vol. 4; no. 9; pp. 647 - 659
Main Authors Zhuang, Ziqing, Bradtmiller, Bruce, Shaffer, Ronald E.
Format Journal Article
LanguageEnglish
Published England Taylor & Francis Group 01.09.2007
Taylor & Francis LLC
Subjects
Online AccessGet full text
ISSN1545-9624
1545-9632
DOI10.1080/15459620701497538

Cover

Abstract The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of U.S. Air Force personnel. Military data do not represent the great diversity in face size and shape seen in civilian populations. In addition, the demographics of the U.S. population have changed over the last 30 years. Thus, it is necessary to assess and refine the LANL fit test panels. This paper presents the development of new respirator fit test panels representative of current U.S. civilian workers based on an anthropometric survey of 3997 respirator users conducted in 2003. One panel was developed using face length and face width (bivariate approach) and weighting subjects to match the age and race distribution of the U.S. population as determined from the 2000 census. Another panel was developed using the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted). These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers. Both panels are more representative of the U.S. population than the existing LANL panel and may be appropriate for testing both half-masks and full-facepiece respirators. Respirator manufacturers, standards development organizations, and government respirator certification bodies need to select the appropriate fit test panel for their particular needs. The bivariate panel is simpler to use than the principal component analysis (PCA) panel and is most similar to the LANL panel currently used. The inclusion of the eight additional facial measurements allows the PCA panel to provide better criteria for excluding extreme face sizes from being used. Because the boundaries of the two new panels are significantly different from the LANL panel, it may be necessary to develop new respirator sizing systems. A new five-category sizing system is proposed.
AbstractList The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of US Air Force personnel. This paper presents the development of new respirator fit test panels representative of current US. civilian workers based on an anthropometric survey of 3997 respirator users conducted in 2003. One panel was developed using face length and face width and weighting subjects to match the age and race distribution of the U.S. population as determined from the 2000 census. Another panel was developed using the first two principal components obtained from a set of 10 facial dimensions. Both panels are more representative of the US population than the existing LANL panel and may be appropriate for testing both half-masks and full-facepiece respirators. Because the boundaries of the two new panels are significantly different from the LANL panel, it may be necessary to develop new respirator sizing systems. A new five-category sizing system is proposed.
The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of U.S. Air Force personnel. Military data do not represent the great diversity in face size and shape seen in civilian populations. In addition, the demographics of the U.S. population have changed over the last 30 years. Thus, it is necessary to assess and refine the LANL fit test panels. This paper presents the development of new respirator fit test panels representative of current U.S. civilian workers based on an anthropometric survey of 3,997 respirator users conducted in 2003. One panel was developed using face length and face width (bivariate approach) and weighting subjects to match the age and race distribution of the U.S. population as determined from the 2000 census. Another panel was developed using the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted). These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers. Both panels are more representative of the U.S. population than the existing LANL panel and may be appropriate for testing both half-masks and full-face piece respirators. Respirator manufacturers, standards development organizations, and government respirator certification bodies need to select the appropriate fit test panel for their particular needs. The bivariate panel is simpler to use than the principal component analysis (PCA) panel and is most similar to the LANL panel currently used. The inclusion of the eight additional facial measurements allows the PCA panel to provide better criteria for excluding extreme face sizes from being used. Because the boundaries of the two new panels are significantly different from the LANL panel, it may be necessary to develop new respirator sizing systems. A new five-category sizing system is proposed.The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of U.S. Air Force personnel. Military data do not represent the great diversity in face size and shape seen in civilian populations. In addition, the demographics of the U.S. population have changed over the last 30 years. Thus, it is necessary to assess and refine the LANL fit test panels. This paper presents the development of new respirator fit test panels representative of current U.S. civilian workers based on an anthropometric survey of 3,997 respirator users conducted in 2003. One panel was developed using face length and face width (bivariate approach) and weighting subjects to match the age and race distribution of the U.S. population as determined from the 2000 census. Another panel was developed using the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted). These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers. Both panels are more representative of the U.S. population than the existing LANL panel and may be appropriate for testing both half-masks and full-face piece respirators. Respirator manufacturers, standards development organizations, and government respirator certification bodies need to select the appropriate fit test panel for their particular needs. The bivariate panel is simpler to use than the principal component analysis (PCA) panel and is most similar to the LANL panel currently used. The inclusion of the eight additional facial measurements allows the PCA panel to provide better criteria for excluding extreme face sizes from being used. Because the boundaries of the two new panels are significantly different from the LANL panel, it may be necessary to develop new respirator sizing systems. A new five-category sizing system is proposed.
The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of U.S. Air Force personnel. Military data do not represent the great diversity in face size and shape seen in civilian populations. In addition, the demographics of the U.S. population have changed over the last 30 years. Thus, it is necessary to assess and refine the LANL fit test panels. This paper presents the development of new respirator fit test panels representative of current U.S. civilian workers based on an anthropometric survey of 3,997 respirator users conducted in 2003. One panel was developed using face length and face width (bivariate approach) and weighting subjects to match the age and race distribution of the U.S. population as determined from the 2000 census. Another panel was developed using the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted). These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers. Both panels are more representative of the U.S. population than the existing LANL panel and may be appropriate for testing both half-masks and full-face piece respirators. Respirator manufacturers, standards development organizations, and government respirator certification bodies need to select the appropriate fit test panel for their particular needs. The bivariate panel is simpler to use than the principal component analysis (PCA) panel and is most similar to the LANL panel currently used. The inclusion of the eight additional facial measurements allows the PCA panel to provide better criteria for excluding extreme face sizes from being used. Because the boundaries of the two new panels are significantly different from the LANL panel, it may be necessary to develop new respirator sizing systems. A new five-category sizing system is proposed.
The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of U.S. Air Force personnel. Military data do not represent the great diversity in face size and shape seen in civilian populations. In addition, the demographics of the U.S. population have changed over the last 30 years. Thus, it is necessary to assess and refine the LANL fit test panels. This paper presents the development of new respirator fit test panels representative of current U.S. civilian workers based on an anthropometric survey of 3997 respirator users conducted in 2003. One panel was developed using face length and face width (bivariate approach) and weighting subjects to match the age and race distribution of the U.S. population as determined from the 2000 census. Another panel was developed using the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted). These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers. Both panels are more representative of the U.S. population than the existing LANL panel and may be appropriate for testing both half-masks and full-facepiece respirators. Respirator manufacturers, standards development organizations, and government respirator certification bodies need to select the appropriate fit test panel for their particular needs. The bivariate panel is simpler to use than the principal component analysis (PCA) panel and is most similar to the LANL panel currently used. The inclusion of the eight additional facial measurements allows the PCA panel to provide better criteria for excluding extreme face sizes from being used. Because the boundaries of the two new panels are significantly different from the LANL panel, it may be necessary to develop new respirator sizing systems. A new five-category sizing system is proposed.
The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL) and are based on data from the 1967 and 1968 anthropometric surveys of US Air Force personnel. This paper presents the development of new respirator fit test panels representative of current US civilian workers based on an anthropometric survey of 3997 respirator users conducted in 2003. Respirators designed to fit these panels are expected to accommodate more than 95% of the current US civilian workers. Respirator manufacturers, standards development organizations, and government respirator certification bodies need to select the appropriate fit test panel for their particular needs. The bivariate panel is simpler to use than the principal component analysis panel and is most similar to the LANL panel currently used. Because the boundaries of the two new panels are significantly different from the LANL panel, it may be necessary to develop new respirator sizing systems. A new five-category sizing system is proposed.
Author Zhuang, Ziqing
Shaffer, Ronald E.
Bradtmiller, Bruce
Author_xml – sequence: 1
  givenname: Ziqing
  surname: Zhuang
  fullname: Zhuang, Ziqing
  organization: National Institute for Occupational Safety and Health
– sequence: 2
  givenname: Bruce
  surname: Bradtmiller
  fullname: Bradtmiller, Bruce
  organization: Anthrotech
– sequence: 3
  givenname: Ronald E.
  surname: Shaffer
  fullname: Shaffer, Ronald E.
  organization: National Institute for Occupational Safety and Health
BackLink https://www.ncbi.nlm.nih.gov/pubmed/17613722$$D View this record in MEDLINE/PubMed
BookMark eNqFkktvEzEQxy1URB_wAbggiwO3BL_WD4kLigggVVBBK46W4_WCy8ZOx15Kvz2OGnpoBTl5PPP7z8OeY3SQcgoIPadkTokmr2knOiMZUYQKozquH6GjrW9mJGcHdzYTh-i4lEtCmKRcPkGHVDVDMXaEzj6Fa_wllE0EVzPgZaz4PJSKz1wKY2mhDYQSUo3pO64_Al5MAO2KL-Zf53gRf8UxuoS_ZfiJlxl8eIoeD24s4dnuPEEXy3fniw-z08_vPy7ens58p1mdidBLRYzhq8FzN6zYwAZPNVGd6pznvRHBGCI0Fcq1CQ3t5KqFfEMd8T3hJ-jVbd4N5KupdWzXsfgwjq3vPBWriDSUG70X5IRwTdvr7QOp6bQgijXw5T3wMk-Q2rSWESGplkbthYSQ20wvdtC0WofebiCuHdzYv__TAHULeMilQBisj9XVmFMFF0dLid1ugn2wCU1J7ynvkv9Hs6sW05Bh7a4zjL2t7mbMMIBLPpaHKlt_16Z8s1fJ_134D1zu1bw
CitedBy_id crossref_primary_10_1097_EA9_0000000000000038
crossref_primary_10_1016_j_promfg_2015_07_822
crossref_primary_10_1016_j_ajic_2007_10_014
crossref_primary_10_1080_15459624_2012_733578
crossref_primary_10_1016_j_ajic_2022_05_022
crossref_primary_10_1093_annhyg_mer074
crossref_primary_10_1038_s41598_024_80001_4
crossref_primary_10_3722_cadaps_2013_231_245
crossref_primary_10_1080_15459624_2020_1862417
crossref_primary_10_1016_j_ergon_2011_01_007
crossref_primary_10_1080_15459624_2018_1479065
crossref_primary_10_1016_j_ijheh_2018_03_011
crossref_primary_10_1016_j_apergo_2022_103933
crossref_primary_10_3390_safety9020040
crossref_primary_10_1080_15459624_2013_866716
crossref_primary_10_1080_15459624_2011_640557
crossref_primary_10_1080_15459624_2013_858818
crossref_primary_10_1080_15459624_2016_1159690
crossref_primary_10_1080_15459624_2023_2205466
crossref_primary_10_1080_15459624_2014_957832
crossref_primary_10_1177_1541931213601836
crossref_primary_10_1186_s12890_024_02919_9
crossref_primary_10_2486_indhealth_2017_0069
crossref_primary_10_1093_annweh_wxaf012
crossref_primary_10_1371_journal_pone_0258191
crossref_primary_10_1080_15459621003729909
crossref_primary_10_15407_scine16_05_090
crossref_primary_10_1016_j_apergo_2023_104218
crossref_primary_10_1177_1420326X10378805
crossref_primary_10_1016_j_cad_2023_103483
crossref_primary_10_1080_15459624_2010_514782
crossref_primary_10_1080_15459624_2015_1116692
crossref_primary_10_1093_annweh_wxx077
crossref_primary_10_15407_geotm2017_134_067
crossref_primary_10_1016_j_shaw_2023_11_003
crossref_primary_10_1016_j_ajic_2024_09_020
crossref_primary_10_15407_scin16_05_097
crossref_primary_10_1007_s12273_024_1144_3
crossref_primary_10_1080_15459624_2019_1609006
crossref_primary_10_1080_15459624_2016_1207778
crossref_primary_10_1016_j_apergo_2013_01_008
crossref_primary_10_1080_00140139_2013_776703
crossref_primary_10_1093_annhyg_meq007
crossref_primary_10_1109_ACCESS_2024_3522562
crossref_primary_10_1093_annweh_wxac051
crossref_primary_10_1080_15459624_2014_908260
crossref_primary_10_1080_15459624_2021_1976411
crossref_primary_10_1080_15459624_2024_2345145
crossref_primary_10_1080_15459620802293810
crossref_primary_10_1080_10803548_2020_1869429
crossref_primary_10_1371_journal_pone_0237206
crossref_primary_10_1051_e3sconf_201912301001
crossref_primary_10_1080_15459620903120086
crossref_primary_10_1017_ice_2017_271
crossref_primary_10_1016_j_ajic_2021_12_016
crossref_primary_10_1016_j_apergo_2024_104375
crossref_primary_10_1177_0018720812465640
crossref_primary_10_1016_j_ergon_2019_05_011
crossref_primary_10_1080_15459624_2016_1237029
crossref_primary_10_1080_15459624_2013_816434
crossref_primary_10_1080_00140139_2013_816376
crossref_primary_10_5812_jhealthscope_62884
crossref_primary_10_3390_polym13234165
crossref_primary_10_1007_s12541_015_0066_5
crossref_primary_10_1093_annhyg_met053
crossref_primary_10_1093_annhyg_mes085
crossref_primary_10_1017_ash_2023_503
crossref_primary_10_1080_00140139_2023_2298984
crossref_primary_10_1080_15459624_2017_1296233
crossref_primary_10_1080_15459624_2017_1319569
crossref_primary_10_1080_15459624_2012_683757
crossref_primary_10_3722_cadaps_2009_539_551
crossref_primary_10_1080_00140130903581656
crossref_primary_10_1186_1476_069X_10_17
crossref_primary_10_1136_bmjgh_2021_005537
crossref_primary_10_4103_jfsm_jfsm_122_23
crossref_primary_10_1177_1024907917735088
crossref_primary_10_1080_15459624_2016_1161198
crossref_primary_10_1080_15459624_2023_2226180
crossref_primary_10_1080_00140139_2017_1301575
crossref_primary_10_3389_fpubh_2022_972249
crossref_primary_10_3390_app122312387
crossref_primary_10_1038_s41370_024_00697_4
crossref_primary_10_3390_ijerph19148331
crossref_primary_10_1080_15459624_2013_877143
crossref_primary_10_1080_15459624_2011_635130
crossref_primary_10_1080_15459624_2015_1098780
crossref_primary_10_1371_journal_pone_0188638
crossref_primary_10_3389_fpubh_2021_813058
crossref_primary_10_1080_15459624_2018_1515490
crossref_primary_10_3390_app11156843
crossref_primary_10_1016_j_smhl_2023_100400
crossref_primary_10_1007_s40201_020_00484_x
crossref_primary_10_1093_annhyg_men056
crossref_primary_10_1016_j_aei_2017_03_001
crossref_primary_10_1080_15459624_2022_2063875
crossref_primary_10_1093_annweh_wxaa116
crossref_primary_10_14192_kjicp_2024_29_2_137
crossref_primary_10_1111_anae_15261
crossref_primary_10_2486_indhealth_47_578
crossref_primary_10_1016_j_ergon_2020_103015
crossref_primary_10_1136_oemed_2017_104765
crossref_primary_10_14192_kjicp_2021_26_2_108
crossref_primary_10_1097_MD_0000000000014250
crossref_primary_10_1108_IJCST_06_2014_0077
crossref_primary_10_1371_journal_pone_0293129
crossref_primary_10_1016_j_ajic_2020_11_001
crossref_primary_10_1080_15459624_2015_1047025
crossref_primary_10_1080_15459624_2013_843780
crossref_primary_10_1093_annhyg_mev042
crossref_primary_10_1155_2010_248954
crossref_primary_10_1080_15459624_2021_1877051
crossref_primary_10_1093_annhyg_mew019
crossref_primary_10_1080_15459624_2020_1829633
crossref_primary_10_1007_s12652_021_03335_1
crossref_primary_10_1371_journal_pone_0242304
Cites_doi 10.1080/15428110308984877
10.1080/15459620500324727
10.1080/15298669291360283
10.1080/1047322X.1990.10389628
10.1177/001316446002000116
10.1016/j.apergo.2005.01.009
10.1080/0002889778507897
10.1080/0002889778507811
10.1080/1047322X.1998.10390073
10.1080/15459620500391668
10.1080/15298668291410774
10.1080/15298669091369664
ContentType Journal Article
Copyright Copyright Taylor & Francis Group, LLC 2007
Copyright Taylor & Francis Group Sep 2007
Copyright_xml – notice: Copyright Taylor & Francis Group, LLC 2007
– notice: Copyright Taylor & Francis Group Sep 2007
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7QF
7QQ
7SC
7SE
7SP
7SR
7ST
7T2
7TA
7TB
7U5
7U7
8BQ
8FD
C1K
F28
FR3
H8D
H8G
JG9
JQ2
K9.
KR7
L7M
L~C
L~D
NAPCQ
SOI
7X8
DOI 10.1080/15459620701497538
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Aluminium Industry Abstracts
Ceramic Abstracts
Computer and Information Systems Abstracts
Corrosion Abstracts
Electronics & Communications Abstracts
Engineered Materials Abstracts
Environment Abstracts
Health and Safety Science Abstracts (Full archive)
Materials Business File
Mechanical & Transportation Engineering Abstracts
Solid State and Superconductivity Abstracts
Toxicology Abstracts
METADEX
Technology Research Database
Environmental Sciences and Pollution Management
ANTE: Abstracts in New Technology & Engineering
Engineering Research Database
Aerospace Database
Copper Technical Reference Library
Materials Research Database
ProQuest Computer Science Collection
ProQuest Health & Medical Complete (Alumni)
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Nursing & Allied Health Premium
Environment Abstracts
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Materials Research Database
Technology Research Database
Computer and Information Systems Abstracts – Academic
Mechanical & Transportation Engineering Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
ProQuest Health & Medical Complete (Alumni)
Materials Business File
Environmental Sciences and Pollution Management
Aerospace Database
Copper Technical Reference Library
Engineered Materials Abstracts
Health & Safety Science Abstracts
Advanced Technologies Database with Aerospace
ANTE: Abstracts in New Technology & Engineering
Civil Engineering Abstracts
Aluminium Industry Abstracts
Toxicology Abstracts
Electronics & Communications Abstracts
Ceramic Abstracts
METADEX
Computer and Information Systems Abstracts Professional
Nursing & Allied Health Premium
Solid State and Superconductivity Abstracts
Engineering Research Database
Corrosion Abstracts
Environment Abstracts
MEDLINE - Academic
DatabaseTitleList Materials Research Database
MEDLINE - Academic
MEDLINE
Civil Engineering Abstracts

Materials Research Database
Health & Safety Science Abstracts
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1545-9632
EndPage 659
ExternalDocumentID 1296801781
1316758871
17613722
10_1080_15459620701497538
249627
Genre Journal Article
Feature
GeographicLocations United States
United States--US
USA
USA, New Mexico, Los Alamos
GeographicLocations_xml – name: United States
– name: United States--US
– name: USA, New Mexico, Los Alamos
– name: USA
GroupedDBID ---
-~X
.7F
.QJ
04C
0BK
0R~
29L
30N
36B
4.4
4P2
53G
5GY
5RE
5VS
6PF
85S
AAENE
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
AAWTL
ABCCY
ABFIM
ABFMO
ABLIJ
ABPAQ
ABPEM
ABTAI
ABXUL
ABXYU
ACGEJ
ACGFS
ACGOD
ACIWK
ACPRK
ACTIO
ADBBV
ADCVX
ADGTB
ADOJX
ADXPE
AEISY
AENEX
AEOZL
AEPSL
AEYOC
AFOSN
AFRAH
AGDLA
AGMYJ
AHDZW
AHMBA
AIJEM
AJWEG
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AVBZW
AWYRJ
BLEHA
BMSDO
CAG
CCCUG
CE4
COF
CS3
DGEBU
DKSSO
DU5
EBD
EBS
ECT
EDH
EIHBH
EJD
E~A
E~B
F5P
GTTXZ
H13
HZ~
H~9
H~P
IPNFZ
J.P
KYCEM
M4Z
NA5
O9-
PQQKQ
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TBQAZ
TDBHL
TEI
TEN
TFL
TFT
TFW
TQWBC
TTHFI
TUROJ
TWF
TWQ
UT5
UU3
ZGOLN
~S~
AAGDL
AAHIA
AAYXX
ADYSH
AFRVT
AIYEW
AMPGV
CITATION
UT3
8WZ
A6W
AAGME
ACDHJ
ACZPZ
ADOPC
AURDB
BFWEY
CGR
CUY
CVF
CWRZV
ECM
EIF
HF~
LJTGL
NPM
PCLFJ
TASJS
WHG
ZE2
7QF
7QQ
7SC
7SE
7SP
7SR
7ST
7T2
7TA
7TB
7U5
7U7
8BQ
8FD
C1K
F28
FR3
H8D
H8G
JG9
JQ2
K9.
KR7
L7M
L~C
L~D
NAPCQ
SOI
ACFTK
7X8
ID FETCH-LOGICAL-c582t-4ed670993bfc3afb2f2fc1807575ac3d94e99048147a6209156b575cafba0cd03
ISSN 1545-9624
IngestDate Fri Sep 05 12:10:21 EDT 2025
Fri Sep 05 08:52:48 EDT 2025
Thu Sep 04 23:11:40 EDT 2025
Sun Sep 07 03:46:24 EDT 2025
Fri Jul 25 06:57:21 EDT 2025
Mon Jul 21 06:02:14 EDT 2025
Thu Apr 24 23:12:05 EDT 2025
Tue Jul 01 03:37:05 EDT 2025
Mon May 13 12:10:31 EDT 2019
Wed Dec 25 08:58:03 EST 2024
IsPeerReviewed true
IsScholarly true
Issue 9
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c582t-4ed670993bfc3afb2f2fc1807575ac3d94e99048147a6209156b575cafba0cd03
Notes SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
PMID 17613722
PQID 204614462
PQPubID 29159
PageCount 13
ParticipantIDs proquest_miscellaneous_19584072
pubmed_primary_17613722
informaworld_taylorfrancis_310_1080_15459620701497538
proquest_miscellaneous_70691398
crossref_citationtrail_10_1080_15459620701497538
proquest_journals_204614462
proquest_journals_204618697
crossref_primary_10_1080_15459620701497538
proquest_miscellaneous_30038175
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2007-09-01
PublicationDateYYYYMMDD 2007-09-01
PublicationDate_xml – month: 09
  year: 2007
  text: 2007-09-01
  day: 01
PublicationDecade 2000
PublicationPlace England
PublicationPlace_xml – name: England
– name: Philadelphia
PublicationTitle Journal of occupational and environmental hygiene
PublicationTitleAlternate J Occup Environ Hyg
PublicationYear 2007
Publisher Taylor & Francis Group
Taylor & Francis LLC
Publisher_xml – name: Taylor & Francis Group
– name: Taylor & Francis LLC
References CIT0021
Zhuang Z. (CIT0007) 2002; 19
CIT0020
CIT0012
CIT0023
Los Alamos Scientific Laboratory (CIT0003) 1973
CIT0011
CIT0022
Armstrong Laboratory (CIT0019) 1993
Harry G (CIT0002) 1986
Oestenstad R.K. (CIT0015) 1994
Zhuang Z. (CIT0009) 2004; 21
U.S. Census Bureau (CIT0010) 2002
Aerospace Medical Research Laboratory (CIT0001) 1972
CIT0014
CIT0013
Dow Chemical Corporation (CIT0005) 1975
CIT0016
CIT0004
CIT0018
CIT0006
CIT0017
CIT0008
References_xml – ident: CIT0017
  doi: 10.1080/15428110308984877
– ident: CIT0008
  doi: 10.1080/15459620500324727
– ident: CIT0014
  doi: 10.1080/15298669291360283
– ident: CIT0012
  doi: 10.1080/1047322X.1990.10389628
– ident: CIT0022
  doi: 10.1177/001316446002000116
– volume-title: A Multivariate Anthropometric Method for Crew Station Design: Abridged (U) by G.F. Zehner, R.S. Meindl, and J.A. Hudson (Technical Report AL-TR-1992-0164)
  year: 1993
  ident: CIT0019
– ident: CIT0020
  doi: 10.1016/j.apergo.2005.01.009
– volume-title: Quantitative Respirator Man-Testing and Anthropometric Survey by J. Leigh. Report to U.S. Energy Research and Development Administration Golden
  year: 1975
  ident: CIT0005
– ident: CIT0021
– volume: 19
  start-page: 42
  year: 2002
  ident: CIT0007
  publication-title: J. Int. Soc. Resp. Prot.
– ident: CIT0004
  doi: 10.1080/0002889778507897
– ident: CIT0006
  doi: 10.1080/0002889778507811
– volume-title: Census 2000 Basics
  year: 2002
  ident: CIT0010
– volume: 21
  start-page: 83
  year: 2004
  ident: CIT0009
  publication-title: J. Int. Soc. Resp. Prot.
– ident: CIT0016
  doi: 10.1080/1047322X.1998.10390073
– ident: CIT0023
– volume-title: Anthropometry of Air Force Women C.E. Clauser, P. Tucker, J.T. McConville, E. Churchill, L.L. Laubach, and J. Reardon (ARMR-TR-70-5)
  year: 1972
  ident: CIT0001
– ident: CIT0018
  doi: 10.1080/15459620500391668
– volume-title: A Collation of United States Air Force Anthropometry, by K.W. Kennedy (Technical Report AAMRL-TR-85-062)
  year: 1986
  ident: CIT0002
– ident: CIT0011
  doi: 10.1080/15298668291410774
– volume-title: Selection of Respirator Test Panels Representative of U.S. Adult Facial Sizes by A.L. Hack, E.C. Hyatt, B.J. Held, T.O. Moore, C.P. Richards, and J.T. McConville (Report, LA5488)
  year: 1973
  ident: CIT0003
– volume-title: University of Alabama at Birmingham
  year: 1994
  ident: CIT0015
– ident: CIT0013
  doi: 10.1080/15298669091369664
SSID ssj0026136
Score 2.1697216
Snippet The fit test panels currently used for respirator research, design, and certification are 25-subject panels developed by Los Alamos National Laboratory (LANL)...
SourceID proquest
pubmed
crossref
informaworld
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 647
SubjectTerms Anthropometry
Cephalometry
civilian workers
Civilians
Equipment Design - standards
Face - anatomy & histology
Female
fit test panels
Humans
Inhalation Exposure - prevention & control
Male
Measurement techniques
Military personnel
National Institute for Occupational Safety and Health (U.S.)
Occupational Exposure - prevention & control
Personal protective equipment
Principal components analysis
respirator sizing
respirators
Respiratory Protective Devices - standards
Respiratory system
Studies
Tests
United States
Title New Respirator Fit Test Panels Representing the Current U.S. Civilian Work Force
URI https://www.tandfonline.com/doi/abs/10.1080/15459620701497538
https://www.ncbi.nlm.nih.gov/pubmed/17613722
https://www.proquest.com/docview/204614462
https://www.proquest.com/docview/204618697
https://www.proquest.com/docview/19584072
https://www.proquest.com/docview/30038175
https://www.proquest.com/docview/70691398
Volume 4
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELaqroS4IN6U5eEDJ6qU1HHi5LhatqrQ7oLYVFS9RInr7FaCFpYUAX-DP8xMbOeh0Aq4RJHtPOfzeGY8D0JeZOGSRbngjlQCtxmXMKVgnXFYhjE_GSCqLN92dh5MZ_zN3J_3er8aXkvbIhvJn3-MK_kfqkIb0BWjZP-BstVNoQHOgb5wBArD8a9ojM6J76u98uFkVQxj4PIgFq5hyUPhWgcX2ZAom4xpNroYDY9X31aljQPt5cPJ5lq2vYJqSXXTzESMhvZGdByGUv64BP5QAWRxtTU26MXqi10Yza598akKPWyB6uIqxTot2tUbjdUmQMKaI0Tlb6UBFHcqg1TVjw2D5b4TBTpueqSabV6LK_MG-KIGhw10gs4O59eukngruDvwMdD8QBML62XObu2fv00ms9PTJD6Zx-1erRRhagAfWC-o1AdMgEDWJwdH09eLD5UeDxJQGbRmP8Vulofuq87zW-JOKxnubpWmFG3i2-SWoTQ90gC7Q3pqfZfcODNeF_fIO8AZrXFGAWcUcUY1zmgTZxRwRg3OKOKMWpxRxBktcXafzCYn8fHUMZU4HOmHrHC4WmKev8jLcumlecZylssx5rEWfiq9ZcQVSDU8HHORwtdHYz_IoEvC0NSVS9d7QPrrzVo9IjRQ0k9zpkCMjtB2EabQ7SlYOtw89Hg2IK79YYk0aeqxWsrHZGyy2Xb-8YC8rC75rHO07BvsNqmQFCVgc43V7vCk-F4MiL_nEm_Pow4thRPDNb4mDCsccB6w3b1hEIkBeV71AsPHXTwg6WYLrxiBzuAKtnuEp_Nu-rtHCDfAdMDwhg818Or_JgDdgrHHe9_9kNys5_4T0i-ut-opCOdF9sxMlt_5fN5g
linkProvider Library Specific Holdings
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dT9swED8Bk8bT2GCwwgZ-2BNSimsncfKIEFUHtEKslXiLYseWKlCLIEVof_3uEqcbH-0Dr71Lasd3vk__DPBTJ4VInQoDYxWVGQtUKbQzgdB05kejRFXXt_UHcW8Unl1H1z7h9uDbKimGdjVQRLVXk3JTMrppiTsis5_GAqUV_Xv0t5NV-IA_cGrpk3wwD7jQVFWni5A9QP6wqWq-9YpndukZauli37OyQd0NyJrR160nN-1Zqdvmzwtgx_dP7zN88u4pO67l6Qus2MkmfOz7AvwWXOKmyK7m5XnWHZdsiENml_kErSyS7urzTGgRGfqWzOM_sVH7d5udjB_HlFZhlKJn3em9sV9h1D0dnvQCfylDYKJElEFoC4J8S6V2RuZOCyec6RCksYpyI4s0tGjgwqQTqhznkGJ8qJFkkDXnpuByG9Ym04n9Biy2JsqdsOhRpRTGJjmSpcVdhLtEhroFvFmSzHjEcro44zbreGDTV1-qBYfzR-5quI5lzPz_dc7KKkfi6gtNXrNn5VPZgmjJI3LJX-01MpT5TeIhEwR2j-G4WExN4lS14GBORd2ngg4u6XSGQ0zRfeRKLOaQNQRjtJhD8ZiQYXGEO7Vo__tuCvVHCbH7zjkfwHpv2L_ILn4NzvcoH0K97tSc9x3WyvuZ_YHeXKn3K5X9CyPROZo
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED_BkCZeNr4pG8wPPCGluHYSx4_TRjQ-VlWwSnuLYseWKlBbremE-Ou5i93CGO3Dnu-S2PGd7853_h3AW1M0QnuVJtYpSjM2qFJoZxJh6M6PQYnq2redD_OzcfrpMruMtTmLWFZJMbQPQBHdXk3KPW_8qiLuPVl9nQsUVnTv0d0u7sODnEtN0PmSD9fxFlqq7nIRsifIn66Smv97xQ2zdAO0dLPr2Zmgcj_0WV10yIVUefK9v2xN3_76B9fxzrN7BHvROWXHQZoewz03fQK75zH9_hRGuCWyr-vkPCsnLbvAEbNRPUUbi6R5uM2E9pChZ8ki-hMb97_12cnkekKHKowO6Fk5u7LuGYzLDxcnZ0lsyZDYrBBtkrqGAN-0NN7K2hvhhbcDAjRWWW1lo1OH5i0tBqmqcQ4ao0ODJIusNbcNl89hZzqbupfAcmez2guH_pSmILaokSwd7iHcFzI1PeCrFalsxCunthk_qkGENb31p3rwbv3IPIB1bGPmfy9z1XYnJD60M7nNXrU_2x5kWx6RWz51sBKhKm4Ri0oQ1D0G42Iztci16sHRmoqaT-kcXNLZEoeo0XnkSmzmkAGAMdvMoXhOuLA4whdBsv_8N4Xqo4R4dcc5H8Hu6LSsvnwcfj6Ah-FEnCrzDmGnvVq61-jKteZNp7C_ASmGOE4
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=New+Respirator+Fit+Test+Panels+Representing+the+Current+U.S.+Civilian+Work+Force&rft.jtitle=Journal+of+occupational+and+environmental+hygiene&rft.au=Zhuang%2C+Ziqing&rft.au=Bradtmiller%2C+Bruce&rft.au=Shaffer%2C+Ronald+E&rft.date=2007-09-01&rft.pub=Taylor+%26+Francis+LLC&rft.issn=1545-9624&rft.eissn=1545-9632&rft.volume=4&rft.issue=9&rft.spage=647&rft_id=info:doi/10.1080%2F15459620701497538&rft.externalDBID=NO_FULL_TEXT&rft.externalDocID=1316758871
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1545-9624&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1545-9624&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1545-9624&client=summon