Estimating Exposure to Polycyclic Aromatic Hydrocarbons: A Comparison of Survey, Biological Monitoring, and Geographic Information System–Based Methods

Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sourc...

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Published inCancer epidemiology, biomarkers & prevention Vol. 15; no. 7; pp. 1376 - 1381
Main Authors Gunier, Robert B., Reynolds, Peggy, Hurley, Susan E., Yerabati, Sauda, Hertz, Andrew, Strickland, Paul, Horn-Ross, Pamela L.
Format Journal Article
LanguageEnglish
Published Philadelphia, PA American Association for Cancer Research 01.07.2006
Subjects
Adult
Aged
Aged, 80 and over
Biological and medical sciences
biological monitoring
Biomarkers - metabolism
Cooking
Environmental Exposure
Environmental Monitoring
Epidemiology
exposure assessment
Female
geographic information system
Geographic Information Systems
Geography
Glucuronates - urine
Humans
Male
Meat
Medical sciences
Middle Aged
polycyclic aromatic hydrocarbons
Polycyclic Aromatic Hydrocarbons - adverse effects
Polycyclic Aromatic Hydrocarbons - pharmacokinetics
Pyrenes
road traffic
Smoking - adverse effects
Surveys and Questionnaires
Tobacco Smoke Pollution
Tumors
United States
North America
America
Human
Estimation
Biological marker
Pyrene derivatives
Exposure
Method
Polycyclic aromatic compound
Epidemiology
Biological monitoring
Carcinogen
Survey
Cancerology
Geographic information system
Public health
Comparative study
Online AccessGet full text
ISSN1055-9965
1538-7755
DOI10.1158/1055-9965.EPI-05-0799

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Abstract Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene- O -glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for ≥3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers ( P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures. (Cancer Epidemiol Biomarkers Prev 2006;15(7):1376–81)
AbstractList Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene- O -glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for ≥3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers ( P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures. (Cancer Epidemiol Biomarkers Prev 2006;15(7):1376–81)
Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene-O-glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for greater than or equal to 3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers (P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures. (Cancer Epidemiol Biomarkers Prev 2006; 15(7):1376-81)
Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene-O-glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for > or =3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers (P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures.
Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene-O-glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for ≥3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers (P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures. (Cancer Epidemiol Biomarkers Prev 2006;15(7):1376–81)
Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene-O-glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for > or =3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers (P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures.Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system (GIS) methods. The 304 participants in this study supplied a urine sample and completed questionnaires about exposure to potential PAH sources. We assayed urine samples for 1-hydroxypyrene-O-glucuronide (1-OHPG), the major metabolite of pyrene, a common PAH. We used a GIS to estimate traffic exhaust exposure using vehicle count data at the residence and workplace. The five subjects who reported smoking during the 48-hour period had median 1-OHPG concentrations 10-fold that of nonsmokers (1.6 versus 0.16 pmol/mL; P = 0.01). Among nonsmokers, those who reported eating grilled, roasted, or broiled meat had significantly higher 1-OHPG concentrations than those who did not reported eating meat prepared by these methods (0.25 versus 0.06 pmol/mL; P = 0.02). Nonsmokers who reported traveling on roads for > or =3 hours during the 48-hour period also had significantly higher 1-OHPG levels than those who traveled <3 hours (0.23 versus 0.11 pmol/mL; P = 0.03). 1-OHPG levels were also correlated with hours of secondhand smoke exposure among nonsmokers (P = 0.04). In this study, 1-OHPG urine concentrations were not associated with self-reported exposures to cooking smoke, wood burning, or traffic levels near the home or to traffic density or urban/rural status determined using a GIS. Self-reported indicators of residential proximity to high traffic volume were, however, associated with GIS traffic density measures.
Author Susan E. Hurley
Robert B. Gunier
Paul Strickland
Peggy Reynolds
Sauda Yerabati
Pamela L. Horn-Ross
Andrew Hertz
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Cites_doi 10.1158/1055-9965.53.14.1
10.3200/AEOH.59.2.61-69
10.1161/01.CIR.83.1.1
10.1136/oem.49.2.113
10.1038/sj.jea.7500204
10.1097/01.ede.0000181308.51440.75
10.1007/s00420-003-0477-y
10.1016/0048-9697(96)05189-3
10.1289/ehp.5955
10.1016/S0027-5107(97)00043-2
10.1080/10473289.2003.10466212
10.1038/sj.jea.7500270
10.1007/BF00378371
10.1016/S0045-6535(97)00012-X
10.1002/em.10196
10.1016/S1352-2310(97)00030-7
10.1006/enrs.1997.3757
10.1164/rccm.200403-281OC
10.1016/S1383-5718(01)00340-0
10.1016/j.mrfmmm.2005.06.009
10.1080/00039890209601425
10.1539/joh.45.160
10.1093/aje/153.5.433
10.1023/A:1019579430978
10.1164/rccm.200108-007OC
10.1097/00001648-200009000-00002
10.1016/S0278-6915(00)00158-7
10.1016/j.fct.2005.03.001
10.1016/S0378-4274(99)00092-2
10.1080/00039896.1996.9936024
10.1289/ehp.96104s5927
10.1016/j.mrgentox.2003.09.007
10.1016/S1383-5742(99)00016-2
10.1080/02652039109374004
10.1289/ehp.96104530
10.1097/01.ede.0000101749.28283.de
10.1016/S0140-6736(02)11280-3
10.1016/0304-3835(90)90054-2
10.1038/sj.jea.7500034
10.1080/10473289.2002.10470842
10.1038/sj.jea.7500289
10.1136/oem.52.9.593
10.1080/15298669391355134
10.1289/ehp.110-1241197
10.1016/S0048-9697(01)00686-6
10.1289/ehp.7751
10.1111/j.1467-9671.2005.00236.x
10.1016/S0378-4274(99)00089-2
10.1021/es030588k
10.1021/es0206184
10.1093/carcin/16.5.1079
10.1002/ijc.11597
10.1016/S0378-4274(03)00225-X
10.1021/es00031a002
10.1016/j.scitotenv.2004.02.002
10.1093/carcin/15.3.483
10.1289/ehp.01109341
10.1093/carcin/bgg054
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Issue 7
Keywords Human
Estimation
Biological marker
Pyrene derivatives
Exposure
Method
Polycyclic aromatic compound
Epidemiology
Biological monitoring
Carcinogen
Survey
Cancerology
Geographic information system
Public health
Comparative study
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References 2022061002061717700_BIB51
2022061002061717700_BIB52
2022061002061717700_BIB53
2022061002061717700_BIB10
2022061002061717700_BIB54
2022061002061717700_BIB11
2022061002061717700_BIB55
2022061002061717700_BIB12
2022061002061717700_BIB56
2022061002061717700_BIB13
2022061002061717700_BIB57
2022061002061717700_BIB14
2022061002061717700_BIB58
2022061002061717700_BIB50
2022061002061717700_BIB48
2022061002061717700_BIB49
2022061002061717700_BIB62
2022061002061717700_BIB63
2022061002061717700_BIB20
2022061002061717700_BIB64
2022061002061717700_BIB21
2022061002061717700_BIB65
2022061002061717700_BIB22
2022061002061717700_BIB66
2022061002061717700_BIB23
2022061002061717700_BIB67
2022061002061717700_BIB24
2022061002061717700_BIB68
2022061002061717700_BIB25
2022061002061717700_BIB69
2022061002061717700_BIB60
2022061002061717700_BIB61
2022061002061717700_BIB5
2022061002061717700_BIB4
2022061002061717700_BIB7
2022061002061717700_BIB6
2022061002061717700_BIB9
2022061002061717700_BIB8
2022061002061717700_BIB15
2022061002061717700_BIB59
2022061002061717700_BIB16
2022061002061717700_BIB17
2022061002061717700_BIB18
2022061002061717700_BIB1
2022061002061717700_BIB19
2022061002061717700_BIB3
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2022061002061717700_BIB31
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2022061002061717700_BIB27
2022061002061717700_BIB28
2022061002061717700_BIB29
2022061002061717700_BIB40
2022061002061717700_BIB41
2022061002061717700_BIB42
2022061002061717700_BIB43
2022061002061717700_BIB44
2022061002061717700_BIB45
2022061002061717700_BIB46
2022061002061717700_BIB47
2022061002061717700_BIB37
2022061002061717700_BIB38
2022061002061717700_BIB39
References_xml – ident: 2022061002061717700_BIB16
  doi: 10.1158/1055-9965.53.14.1
– ident: 2022061002061717700_BIB49
  doi: 10.3200/AEOH.59.2.61-69
– ident: 2022061002061717700_BIB58
  doi: 10.1161/01.CIR.83.1.1
– ident: 2022061002061717700_BIB34
– ident: 2022061002061717700_BIB43
  doi: 10.1136/oem.49.2.113
– ident: 2022061002061717700_BIB66
  doi: 10.1038/sj.jea.7500204
– ident: 2022061002061717700_BIB10
  doi: 10.1097/01.ede.0000181308.51440.75
– ident: 2022061002061717700_BIB50
  doi: 10.1007/s00420-003-0477-y
– ident: 2022061002061717700_BIB56
  doi: 10.1016/0048-9697(96)05189-3
– ident: 2022061002061717700_BIB22
  doi: 10.1289/ehp.5955
– ident: 2022061002061717700_BIB28
  doi: 10.1016/S0027-5107(97)00043-2
– ident: 2022061002061717700_BIB18
  doi: 10.1080/10473289.2003.10466212
– ident: 2022061002061717700_BIB20
– ident: 2022061002061717700_BIB45
  doi: 10.1038/sj.jea.7500270
– ident: 2022061002061717700_BIB29
  doi: 10.1007/BF00378371
– ident: 2022061002061717700_BIB14
  doi: 10.1016/S0045-6535(97)00012-X
– ident: 2022061002061717700_BIB61
  doi: 10.1002/em.10196
– ident: 2022061002061717700_BIB36
  doi: 10.1016/S1352-2310(97)00030-7
– ident: 2022061002061717700_BIB11
  doi: 10.1006/enrs.1997.3757
– ident: 2022061002061717700_BIB9
  doi: 10.1164/rccm.200403-281OC
– ident: 2022061002061717700_BIB25
  doi: 10.1016/S1383-5718(01)00340-0
– ident: 2022061002061717700_BIB59
  doi: 10.1016/j.mrfmmm.2005.06.009
– ident: 2022061002061717700_BIB64
  doi: 10.1080/00039890209601425
– ident: 2022061002061717700_BIB35
– ident: 2022061002061717700_BIB52
– ident: 2022061002061717700_BIB67
  doi: 10.1539/joh.45.160
– ident: 2022061002061717700_BIB3
  doi: 10.1093/aje/153.5.433
– ident: 2022061002061717700_BIB4
  doi: 10.1023/A:1019579430978
– ident: 2022061002061717700_BIB8
  doi: 10.1164/rccm.200108-007OC
– ident: 2022061002061717700_BIB19
– ident: 2022061002061717700_BIB1
  doi: 10.1097/00001648-200009000-00002
– ident: 2022061002061717700_BIB15
– ident: 2022061002061717700_BIB21
– ident: 2022061002061717700_BIB46
  doi: 10.1016/S0278-6915(00)00158-7
– ident: 2022061002061717700_BIB2
  doi: 10.1016/j.fct.2005.03.001
– ident: 2022061002061717700_BIB40
  doi: 10.1016/S0378-4274(99)00092-2
– ident: 2022061002061717700_BIB7
  doi: 10.1080/00039896.1996.9936024
– ident: 2022061002061717700_BIB31
  doi: 10.1289/ehp.96104s5927
– ident: 2022061002061717700_BIB68
  doi: 10.1016/j.mrgentox.2003.09.007
– ident: 2022061002061717700_BIB48
  doi: 10.1016/S1383-5742(99)00016-2
– ident: 2022061002061717700_BIB47
  doi: 10.1080/02652039109374004
– ident: 2022061002061717700_BIB32
– ident: 2022061002061717700_BIB62
  doi: 10.1289/ehp.96104530
– ident: 2022061002061717700_BIB6
  doi: 10.1097/01.ede.0000101749.28283.de
– ident: 2022061002061717700_BIB12
  doi: 10.1016/S0140-6736(02)11280-3
– ident: 2022061002061717700_BIB41
  doi: 10.1016/0304-3835(90)90054-2
– ident: 2022061002061717700_BIB57
  doi: 10.1038/sj.jea.7500034
– ident: 2022061002061717700_BIB37
  doi: 10.1080/10473289.2002.10470842
– ident: 2022061002061717700_BIB38
  doi: 10.1038/sj.jea.7500289
– ident: 2022061002061717700_BIB24
  doi: 10.1136/oem.52.9.593
– ident: 2022061002061717700_BIB30
  doi: 10.1080/15298669391355134
– ident: 2022061002061717700_BIB17
  doi: 10.1289/ehp.110-1241197
– ident: 2022061002061717700_BIB55
  doi: 10.1016/S0048-9697(01)00686-6
– ident: 2022061002061717700_BIB13
  doi: 10.1289/ehp.7751
– ident: 2022061002061717700_BIB65
  doi: 10.1111/j.1467-9671.2005.00236.x
– ident: 2022061002061717700_BIB33
– ident: 2022061002061717700_BIB26
  doi: 10.1016/S0378-4274(99)00089-2
– ident: 2022061002061717700_BIB51
  doi: 10.1021/es030588k
– ident: 2022061002061717700_BIB53
  doi: 10.1021/es0206184
– ident: 2022061002061717700_BIB44
  doi: 10.1093/carcin/16.5.1079
– ident: 2022061002061717700_BIB5
  doi: 10.1002/ijc.11597
– ident: 2022061002061717700_BIB60
  doi: 10.1016/S0378-4274(03)00225-X
– ident: 2022061002061717700_BIB39
  doi: 10.1021/es00031a002
– ident: 2022061002061717700_BIB63
  doi: 10.1016/j.scitotenv.2004.02.002
– ident: 2022061002061717700_BIB23
  doi: 10.1093/carcin/15.3.483
– ident: 2022061002061717700_BIB27
– ident: 2022061002061717700_BIB54
  doi: 10.1289/ehp.01109341
– ident: 2022061002061717700_BIB42
  doi: 10.1093/carcin/bgg054
– ident: 2022061002061717700_BIB69
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Snippet Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system...
Our objective was to compare polycyclic aromatic hydrocarbon (PAH) exposure estimates based on survey, biological monitoring, and geographic information system...
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SubjectTerms Adult
Aged
Aged, 80 and over
Biological and medical sciences
biological monitoring
Biomarkers - metabolism
Cooking
Environmental Exposure
Environmental Monitoring
Epidemiology
exposure assessment
Female
geographic information system
Geographic Information Systems
Geography
Glucuronates - urine
Humans
Male
Meat
Medical sciences
Middle Aged
polycyclic aromatic hydrocarbons
Polycyclic Aromatic Hydrocarbons - adverse effects
Polycyclic Aromatic Hydrocarbons - pharmacokinetics
Pyrenes
road traffic
Smoking - adverse effects
Surveys and Questionnaires
Tobacco Smoke Pollution
Tumors
Title Estimating Exposure to Polycyclic Aromatic Hydrocarbons: A Comparison of Survey, Biological Monitoring, and Geographic Information System–Based Methods
URI http://cebp.aacrjournals.org/content/15/7/1376.abstract
https://www.ncbi.nlm.nih.gov/pubmed/16835339
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https://www.proquest.com/docview/68635656
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