PMID- 24727067
OWN - NLM
STAT- MEDLINE
DCOM- 20140922
LR  - 20181202
IS  - 1873-6750 (Electronic)
IS  - 0160-4120 (Linking)
VI  - 68
DP  - 2014 Jul
TI  - Population variation in biomonitoring data for persistent organic pollutants 
      (POPs): an examination of multiple population-based datasets for application to 
      Australian pooled biomonitoring data.
PG  - 127-38
LID - S0160-4120(14)00099-3 [pii]
LID - 10.1016/j.envint.2014.03.026 [doi]
AB  - BACKGROUND: Australian national biomonitoring for persistent organic pollutants 
      (POPs) relies upon age-specific pooled serum samples to characterize central 
      tendencies of concentrations but does not provide estimates of upper bound 
      concentrations. This analysis compares population variation from biomonitoring 
      datasets from the US, Canada, Germany, Spain, and Belgium to identify and test 
      patterns potentially useful for estimating population upper bound reference 
      values for the Australian population. METHODS: Arithmetic means and the ratio of 
      the 95th percentile to the arithmetic mean (P95:mean) were assessed by survey for 
      defined age subgroups for three polychlorinated biphenyls (PCBs 138, 153, and 
      180), hexachlorobenzene (HCB), p,p-dichlorodiphenyldichloroethylene (DDE), 
      2,2',4,4' tetrabrominated diphenylether (PBDE 47), perfluorooctanoic acid (PFOA) 
      and perfluorooctane sulfonate (PFOS). RESULTS: Arithmetic mean concentrations of 
      each analyte varied widely across surveys and age groups. However, P95:mean 
      ratios differed to a limited extent, with no systematic variation across ages. 
      The average P95:mean ratios were 2.2 for the three PCBs and HCB; 3.0 for DDE; 2.0 
      and 2.3 for PFOA and PFOS, respectively. The P95:mean ratio for PBDE 47 was more 
      variable among age groups, ranging from 2.7 to 4.8. The average P95:mean ratios 
      accurately estimated age group-specific P95s in the Flemish Environmental Health 
      Survey II and were used to estimate the P95s for the Australian population by age 
      group from the pooled biomonitoring data. CONCLUSIONS: Similar population 
      variation patterns for POPs were observed across multiple surveys, even when 
      absolute concentrations differed widely. These patterns can be used to estimate 
      population upper bounds when only pooled sampling data are available.
CI  - Copyright (c) 2014 Elsevier Ltd. All rights reserved.
FAU - Aylward, Lesa L
AU  - Aylward LL
AD  - Summit Toxicology LLP, Falls Church, VA, USA; National Research Centre for 
      Environmental Toxicology (ENTOX), University of Queensland, Brisbane, Queensland, 
      Australia. Electronic address: laylward@summittoxicology.com.
FAU - Green, Evan
AU  - Green E
AD  - Statistics Canada, Ottawa, Ontario, Canada.
FAU - Porta, Miquel
AU  - Porta M
AD  - Hospital del Mar Institute of Medical Research - IMIM, Barcelona, CIBER en 
      Epidemiologia y Salud Publica, Universitat Autonoma de Barcelona, Spain.
FAU - Toms, Leisa-Maree
AU  - Toms LM
AD  - Queensland University of Technology, Brisbane, Queensland, Australia.
FAU - Den Hond, Elly
AU  - Den Hond E
AD  - Flemish Institute of Technology (VITO), Mol, Belgium.
FAU - Schulz, Christine
AU  - Schulz C
AD  - Federal Environment Agency (UBA), Berlin, Dessau-Rosslau, Germany.
FAU - Gasull, Magda
AU  - Gasull M
AD  - Hospital del Mar Institute of Medical Research - IMIM, Barcelona, CIBER en 
      Epidemiologia y Salud Publica, Universitat Autonoma de Barcelona, Spain.
FAU - Pumarega, Jose
AU  - Pumarega J
AD  - Hospital del Mar Institute of Medical Research - IMIM, Barcelona, CIBER en 
      Epidemiologia y Salud Publica, Universitat Autonoma de Barcelona, Spain.
FAU - Conrad, Andre
AU  - Conrad A
AD  - Federal Environment Agency (UBA), Berlin, Dessau-Rosslau, Germany.
FAU - Kolossa-Gehring, Marike
AU  - Kolossa-Gehring M
AD  - Federal Environment Agency (UBA), Berlin, Dessau-Rosslau, Germany.
FAU - Schoeters, Greet
AU  - Schoeters G
AD  - Flemish Institute of Technology (VITO), Mol, Belgium.
FAU - Mueller, Jochen F
AU  - Mueller JF
AD  - National Research Centre for Environmental Toxicology (ENTOX), University of 
      Queensland, Brisbane, Queensland, Australia.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20140413
PL  - Netherlands
TA  - Environ Int
JT  - Environment international
JID - 7807270
RN  - 0 (Alkanesulfonic Acids)
RN  - 0 (Caprylates)
RN  - 0 (Environmental Pollutants)
RN  - 0 (Fluorocarbons)
RN  - 0 (Hydrocarbons, Chlorinated)
RN  - 0 (Pesticides)
RN  - 947VD76D3L (perfluorooctanoic acid)
RN  - 9H2MAI21CL (perfluorooctane sulfonic acid)
RN  - DFC2HB4I0K (Polychlorinated Biphenyls)
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - Alkanesulfonic Acids/blood
MH  - Australia
MH  - Caprylates/blood
MH  - Child
MH  - Child, Preschool
MH  - Databases, Factual/*standards
MH  - *Environmental Monitoring
MH  - Environmental Pollutants/*blood/chemistry
MH  - Fluorocarbons/blood
MH  - Humans
MH  - Hydrocarbons, Chlorinated/blood
MH  - Infant
MH  - Infant, Newborn
MH  - Middle Aged
MH  - Pesticides/blood
MH  - Polychlorinated Biphenyls/blood
MH  - Young Adult
OTO - NOTNLM
OT  - Biomonitoring
OT  - Persistent organic pollutants
OT  - Population monitoring
OT  - Variation
EDAT- 2014/04/15 06:00
MHDA- 2014/09/23 06:00
CRDT- 2014/04/15 06:00
PHST- 2014/02/24 00:00 [received]
PHST- 2014/03/21 00:00 [revised]
PHST- 2014/03/24 00:00 [accepted]
PHST- 2014/04/15 06:00 [entrez]
PHST- 2014/04/15 06:00 [pubmed]
PHST- 2014/09/23 06:00 [medline]
AID - S0160-4120(14)00099-3 [pii]
AID - 10.1016/j.envint.2014.03.026 [doi]
PST - ppublish
SO  - Environ Int. 2014 Jul;68:127-38. doi: 10.1016/j.envint.2014.03.026. Epub 2014 Apr 
      13.