Development and validation of prediction models for blood concentrations of dioxins and PCBs using dietary intakes
Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable. To develop and then validate models for predicting c...
Saved in:
| Published in | Environment international Vol. 50; pp. 15 - 21 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Ltd
01.12.2012
Elsevier |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable.
To develop and then validate models for predicting concentrations of dioxins and PCBs in blood using a comprehensive food frequency questionnaire and blood concentrations.
Prediction models were built on data from one study (n=195), and validated in an independent study group (n=66). We used linear regression to develop predictive models for dioxins and PCBs, both sums of congeners and 33 single congeners (7 and 10 polychlorinated dibenzo-p-dioxins and furans (PCDDs/PCDFs), 12 dioxin-like polychlorinated biphenyls (PCBs: 4 non-ortho and 8 mono-ortho), sum of all the 29 dioxin-like compounds (total TEQ) and sum of 4 non dioxin-like PCBs (∑ CB-101, 138, 153, 183=PCB4). We used the blood concentration and dietary intake of each of the above as dependent and independent variables, while sex, parity, age, place of living, smoking status, energy intake and education were covariates. We validated the models in a new study population comparing the predicted blood concentrations with the measured blood concentrations using correlation coefficients and Weighted Kappa (КW) as measures of agreement, considering КW>0.40 as successful prediction.
The models explained 78% (sum dioxin-like compounds), 76% (PCDDs), 76% (PCDFs), 74% (no-PCBs), 69% (mo-PCBs), 68% (PCB4) and 63% (CB-153) of the variance. In addition to dietary intake, age and sex were the most important covariates.
The predicted blood concentrations were highly correlated with the measured values, with r=0.75 for dl-compounds 0.70 for PCB4, (p<0.001) and 0.66 (p<0.001) for CB-153. КW was 0.68 for sum dl-compounds 0.65 for both PCB4 and CB-153. Out of 33 congeners 16 (13dl-compounds and 3 ndl PCBs) had КW>0.40.
The models developed had high power to predict blood levels of dioxins and PCBs and to correctly rank subjects according to high or low exposure based on dietary intake and demographic information. These models underline the value of dietary intake data for use in investigations of associations between dioxin and PCB exposure and health outcomes in large epidemiological studies with limited biomaterial for chemical analysis.
[Display omitted]
► We model the blood concentrations of dioxins and PCBs on congener level. ► We use the models to predict the blood concentrations of dioxins and PCBs in an independent study population. ► We compared the predicted and the measured blood concentrations. ► The participants were to a great extent successfully placed in the right exposure category. |
|---|---|
| AbstractList | Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable.
To develop and then validate models for predicting concentrations of dioxins and PCBs in blood using a comprehensive food frequency questionnaire and blood concentrations.
Prediction models were built on data from one study (n=195), and validated in an independent study group (n=66). We used linear regression to develop predictive models for dioxins and PCBs, both sums of congeners and 33 single congeners (7 and 10 polychlorinated dibenzo-p-dioxins and furans (PCDDs/PCDFs), 12 dioxin-like polychlorinated biphenyls (PCBs: 4 non-ortho and 8 mono-ortho), sum of all the 29 dioxin-like compounds (total TEQ) and sum of 4 non dioxin-like PCBs (∑ CB-101, 138, 153, 183=PCB(4)). We used the blood concentration and dietary intake of each of the above as dependent and independent variables, while sex, parity, age, place of living, smoking status, energy intake and education were covariates. We validated the models in a new study population comparing the predicted blood concentrations with the measured blood concentrations using correlation coefficients and Weighted Kappa (К(W)) as measures of agreement, considering К(W)>0.40 as successful prediction.
The models explained 78% (sum dioxin-like compounds), 76% (PCDDs), 76% (PCDFs), 74% (no-PCBs), 69% (mo-PCBs), 68% (PCB(4)) and 63% (CB-153) of the variance. In addition to dietary intake, age and sex were the most important covariates. The predicted blood concentrations were highly correlated with the measured values, with r=0.75 for dl-compounds 0.70 for PCB(4), (p<0.001) and 0.66 (p<0.001) for CB-153. К(W) was 0.68 for sum dl-compounds 0.65 for both PCB(4) and CB-153. Out of 33 congeners 16 (13dl-compounds and 3 ndl PCBs) had К(W)>0.40.
The models developed had high power to predict blood levels of dioxins and PCBs and to correctly rank subjects according to high or low exposure based on dietary intake and demographic information. These models underline the value of dietary intake data for use in investigations of associations between dioxin and PCB exposure and health outcomes in large epidemiological studies with limited biomaterial for chemical analysis. Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable.BACKGROUNDDioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable.To develop and then validate models for predicting concentrations of dioxins and PCBs in blood using a comprehensive food frequency questionnaire and blood concentrations.OBJECTIVESTo develop and then validate models for predicting concentrations of dioxins and PCBs in blood using a comprehensive food frequency questionnaire and blood concentrations.Prediction models were built on data from one study (n=195), and validated in an independent study group (n=66). We used linear regression to develop predictive models for dioxins and PCBs, both sums of congeners and 33 single congeners (7 and 10 polychlorinated dibenzo-p-dioxins and furans (PCDDs/PCDFs), 12 dioxin-like polychlorinated biphenyls (PCBs: 4 non-ortho and 8 mono-ortho), sum of all the 29 dioxin-like compounds (total TEQ) and sum of 4 non dioxin-like PCBs (∑ CB-101, 138, 153, 183=PCB(4)). We used the blood concentration and dietary intake of each of the above as dependent and independent variables, while sex, parity, age, place of living, smoking status, energy intake and education were covariates. We validated the models in a new study population comparing the predicted blood concentrations with the measured blood concentrations using correlation coefficients and Weighted Kappa (К(W)) as measures of agreement, considering К(W)>0.40 as successful prediction.METHODSPrediction models were built on data from one study (n=195), and validated in an independent study group (n=66). We used linear regression to develop predictive models for dioxins and PCBs, both sums of congeners and 33 single congeners (7 and 10 polychlorinated dibenzo-p-dioxins and furans (PCDDs/PCDFs), 12 dioxin-like polychlorinated biphenyls (PCBs: 4 non-ortho and 8 mono-ortho), sum of all the 29 dioxin-like compounds (total TEQ) and sum of 4 non dioxin-like PCBs (∑ CB-101, 138, 153, 183=PCB(4)). We used the blood concentration and dietary intake of each of the above as dependent and independent variables, while sex, parity, age, place of living, smoking status, energy intake and education were covariates. We validated the models in a new study population comparing the predicted blood concentrations with the measured blood concentrations using correlation coefficients and Weighted Kappa (К(W)) as measures of agreement, considering К(W)>0.40 as successful prediction.The models explained 78% (sum dioxin-like compounds), 76% (PCDDs), 76% (PCDFs), 74% (no-PCBs), 69% (mo-PCBs), 68% (PCB(4)) and 63% (CB-153) of the variance. In addition to dietary intake, age and sex were the most important covariates. The predicted blood concentrations were highly correlated with the measured values, with r=0.75 for dl-compounds 0.70 for PCB(4), (p<0.001) and 0.66 (p<0.001) for CB-153. К(W) was 0.68 for sum dl-compounds 0.65 for both PCB(4) and CB-153. Out of 33 congeners 16 (13dl-compounds and 3 ndl PCBs) had К(W)>0.40.RESULTSThe models explained 78% (sum dioxin-like compounds), 76% (PCDDs), 76% (PCDFs), 74% (no-PCBs), 69% (mo-PCBs), 68% (PCB(4)) and 63% (CB-153) of the variance. In addition to dietary intake, age and sex were the most important covariates. The predicted blood concentrations were highly correlated with the measured values, with r=0.75 for dl-compounds 0.70 for PCB(4), (p<0.001) and 0.66 (p<0.001) for CB-153. К(W) was 0.68 for sum dl-compounds 0.65 for both PCB(4) and CB-153. Out of 33 congeners 16 (13dl-compounds and 3 ndl PCBs) had К(W)>0.40.The models developed had high power to predict blood levels of dioxins and PCBs and to correctly rank subjects according to high or low exposure based on dietary intake and demographic information. These models underline the value of dietary intake data for use in investigations of associations between dioxin and PCB exposure and health outcomes in large epidemiological studies with limited biomaterial for chemical analysis.CONCLUSIONSThe models developed had high power to predict blood levels of dioxins and PCBs and to correctly rank subjects according to high or low exposure based on dietary intake and demographic information. These models underline the value of dietary intake data for use in investigations of associations between dioxin and PCB exposure and health outcomes in large epidemiological studies with limited biomaterial for chemical analysis. Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable. To develop and then validate models for predicting concentrations of dioxins and PCBs in blood using a comprehensive food frequency questionnaire and blood concentrations. Prediction models were built on data from one study (n=195), and validated in an independent study group (n=66). We used linear regression to develop predictive models for dioxins and PCBs, both sums of congeners and 33 single congeners (7 and 10 polychlorinated dibenzo-p-dioxins and furans (PCDDs/PCDFs), 12 dioxin-like polychlorinated biphenyls (PCBs: 4 non-ortho and 8 mono-ortho), sum of all the 29 dioxin-like compounds (total TEQ) and sum of 4 non dioxin-like PCBs (∑ CB-101, 138, 153, 183=PCB4). We used the blood concentration and dietary intake of each of the above as dependent and independent variables, while sex, parity, age, place of living, smoking status, energy intake and education were covariates. We validated the models in a new study population comparing the predicted blood concentrations with the measured blood concentrations using correlation coefficients and Weighted Kappa (КW) as measures of agreement, considering КW>0.40 as successful prediction. The models explained 78% (sum dioxin-like compounds), 76% (PCDDs), 76% (PCDFs), 74% (no-PCBs), 69% (mo-PCBs), 68% (PCB4) and 63% (CB-153) of the variance. In addition to dietary intake, age and sex were the most important covariates. The predicted blood concentrations were highly correlated with the measured values, with r=0.75 for dl-compounds 0.70 for PCB4, (p<0.001) and 0.66 (p<0.001) for CB-153. КW was 0.68 for sum dl-compounds 0.65 for both PCB4 and CB-153. Out of 33 congeners 16 (13dl-compounds and 3 ndl PCBs) had КW>0.40. The models developed had high power to predict blood levels of dioxins and PCBs and to correctly rank subjects according to high or low exposure based on dietary intake and demographic information. These models underline the value of dietary intake data for use in investigations of associations between dioxin and PCB exposure and health outcomes in large epidemiological studies with limited biomaterial for chemical analysis. [Display omitted] ► We model the blood concentrations of dioxins and PCBs on congener level. ► We use the models to predict the blood concentrations of dioxins and PCBs in an independent study population. ► We compared the predicted and the measured blood concentrations. ► The participants were to a great extent successfully placed in the right exposure category. BACKGROUND: Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these compounds based on analyses of biological material might not be available or affordable. OBJECTIVES: To develop and then validate models for predicting concentrations of dioxins and PCBs in blood using a comprehensive food frequency questionnaire and blood concentrations. METHODS: Prediction models were built on data from one study (n=195), and validated in an independent study group (n=66). We used linear regression to develop predictive models for dioxins and PCBs, both sums of congeners and 33 single congeners (7 and 10 polychlorinated dibenzo-p-dioxins and furans (PCDDs/PCDFs), 12 dioxin-like polychlorinated biphenyls (PCBs: 4 non-ortho and 8 mono-ortho), sum of all the 29 dioxin-like compounds (total TEQ) and sum of 4 non dioxin-like PCBs (∑ CB-101, 138, 153, 183=PCB₄). We used the blood concentration and dietary intake of each of the above as dependent and independent variables, while sex, parity, age, place of living, smoking status, energy intake and education were covariates. We validated the models in a new study population comparing the predicted blood concentrations with the measured blood concentrations using correlation coefficients and Weighted Kappa (КW) as measures of agreement, considering КW>0.40 as successful prediction. RESULTS: The models explained 78% (sum dioxin-like compounds), 76% (PCDDs), 76% (PCDFs), 74% (no-PCBs), 69% (mo-PCBs), 68% (PCB₄) and 63% (CB-153) of the variance. In addition to dietary intake, age and sex were the most important covariates. The predicted blood concentrations were highly correlated with the measured values, with r=0.75 for dl-compounds 0.70 for PCB₄, (p<0.001) and 0.66 (p<0.001) for CB-153. КW was 0.68 for sum dl-compounds 0.65 for both PCB₄ and CB-153. Out of 33 congeners 16 (13dl-compounds and 3 ndl PCBs) had КW>0.40. CONCLUSIONS: The models developed had high power to predict blood levels of dioxins and PCBs and to correctly rank subjects according to high or low exposure based on dietary intake and demographic information. These models underline the value of dietary intake data for use in investigations of associations between dioxin and PCB exposure and health outcomes in large epidemiological studies with limited biomaterial for chemical analysis. |
| Author | Stigum, Hein Meltzer, Helle Margrete Haugen, Margaretha Alexander, Jan Kvalem, Helen Engelstad Brantsæter, Anne Lise Knutsen, Helle K. Thomsen, Cathrine |
| Author_xml | – sequence: 1 givenname: Helen Engelstad surname: Kvalem fullname: Kvalem, Helen Engelstad email: helen.engelstad@fhi.no organization: Norwegian Institute of Public Health, Oslo, Norway – sequence: 2 givenname: Anne Lise surname: Brantsæter fullname: Brantsæter, Anne Lise organization: Norwegian Institute of Public Health, Oslo, Norway – sequence: 3 givenname: Helle Margrete surname: Meltzer fullname: Meltzer, Helle Margrete organization: Norwegian Institute of Public Health, Oslo, Norway – sequence: 4 givenname: Hein surname: Stigum fullname: Stigum, Hein organization: Norwegian Institute of Public Health, Oslo, Norway – sequence: 5 givenname: Cathrine surname: Thomsen fullname: Thomsen, Cathrine organization: Norwegian Institute of Public Health, Oslo, Norway – sequence: 6 givenname: Margaretha surname: Haugen fullname: Haugen, Margaretha organization: Norwegian Institute of Public Health, Oslo, Norway – sequence: 7 givenname: Jan surname: Alexander fullname: Alexander, Jan organization: Norwegian Institute of Public Health, Oslo, Norway – sequence: 8 givenname: Helle K. surname: Knutsen fullname: Knutsen, Helle K. organization: Norwegian Institute of Public Health, Oslo, Norway |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26646722$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/23032644$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFkUtv1DAURi1URKeFf4BQNkhskl7HTjxhgVSGRytVKgtYW871DfKQ2IOdGcG_x_MAJBZ05df5Ptk-F-zMB0-MPedQceDt1boiv3N-rmrgdQVdBSAesQVfKlG2qoEztsgYlJLXcM4uUloDQC2XzRN2XgsQdSvlgsV3tKMxbCbyc2G8LXZmdNbMLvgiDMUmknV4WE3B0piKIcSiH0OwBQaPORUPcNrT1oUfLk_3PZ9Wb1OxTc5_zds0m_izyJc13yg9ZY8HMyZ6dhov2ZcP7z-vbsq7-4-3q-u7EmXH59KiaiR21EPfywZNQx0hWttyHIxQXAhFtkGbj601PUdujALRKWWgAzTikr069m5i-L6lNOvJJaRxNJ7CNmmuoJEClFQPo1x0LV92TZPRFyd0209k9Sa6KT9O__7SDLw8ASahGYdoPLr0l2tb2aq6zpw8chhDSpGGPwgHvTes1_poWO8Na-h0Npxjr_-JoZsPCrIJNz4UfnMMZ5O0cxR1QkdZo3WRcNY2uP8X_AL7k8YW |
| CODEN | ENVIDV |
| CitedBy_id | crossref_primary_10_1016_j_envint_2018_10_057 crossref_primary_10_1016_j_envres_2019_108544 crossref_primary_10_1016_j_ijheh_2014_12_001 crossref_primary_10_1016_j_envint_2013_08_017 crossref_primary_10_1016_j_envres_2014_03_038 crossref_primary_10_1111_joim_12205 crossref_primary_10_1016_j_envint_2016_06_033 crossref_primary_10_1289_ehp_1409191 crossref_primary_10_2903_j_efsa_2018_5333 crossref_primary_10_1002_jcp_26837 crossref_primary_10_1007_s13530_018_0342_8 crossref_primary_10_1016_j_envres_2015_12_020 crossref_primary_10_1016_j_taap_2014_03_020 crossref_primary_10_1017_S1368980018001490 crossref_primary_10_1016_j_scitotenv_2014_03_047 crossref_primary_10_1289_ehp_1509820 crossref_primary_10_1007_s40572_014_0009_9 crossref_primary_10_1186_s12199_018_0755_7 crossref_primary_10_1016_j_toxac_2020_10_017 |
| Cites_doi | 10.1016/S0378-4274(01)00301-0 10.1007/s002449900193 10.1289/ehp.98106273 10.1093/jnci/djj101 10.1002/mnfr.201000243 10.1002/mnfr.200700123 10.3945/ajcn.2009.28441 10.1111/j.1740-8709.2007.00103.x 10.1016/j.chemosphere.2010.02.013 10.1038/ejcn.2009.147 10.1289/ehp.021100313 10.1021/es200682w 10.1093/toxsci/kfl055 10.1111/j.1471-6712.2005.00368.x 10.1093/ajcn/68.2.266 10.1016/j.envint.2010.05.004 10.1002/mnfr.200800462 10.1080/10937400801921320 10.1016/j.envint.2010.05.016 10.1289/ehp.98106775 10.1289/ehp.11781 10.1016/j.toxlet.2008.02.012 10.1289/ehp.11779 10.1016/j.fct.2011.06.077 10.1016/j.jchromb.2006.09.011 10.1080/026520300283324 10.1016/S0140-6736(86)90837-8 10.1021/es100976j |
| ContentType | Journal Article |
| Copyright | 2012 Elsevier Ltd 2014 INIST-CNRS Copyright © 2012 Elsevier Ltd. All rights reserved. |
| Copyright_xml | – notice: 2012 Elsevier Ltd – notice: 2014 INIST-CNRS – notice: Copyright © 2012 Elsevier Ltd. All rights reserved. |
| DBID | AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM 7X8 7S9 L.6 |
| DOI | 10.1016/j.envint.2012.09.003 |
| DatabaseName | CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic AGRICOLA |
| 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 | Engineering Public Health Environmental Sciences Education |
| EISSN | 1873-6750 |
| EndPage | 21 |
| ExternalDocumentID | 23032644 26646722 10_1016_j_envint_2012_09_003 S0160412012002012 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GroupedDBID | --- --K --M .~1 0R~ 0SF 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JM AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AAOAW AAQFI AAXUO ABFYP ABJNI ABLST ABMAC ABXDB ABYKQ ACDAQ ACGFS ACRLP ADEZE ADMUD AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AIEXJ AIKHN AITUG AJBFU AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EFLBG EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA GROUPED_DOAJ HZ~ IHE J1W K-O KCYFY KOM LY9 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG RNS ROL RPZ SCC SDF SDG SDP SES SSJ SSZ T5K TN5 ~02 ~G- 29G 53G AAFWJ AAHBH AALRI AAQXK AATTM AAXKI AAYWO AAYXX ABEFU ABFNM ABWVN ACRPL ACVFH ADCNI ADNMO ADVLN AEGFY AEIPS AEUPX AFJKZ AFPKN AFPUW AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN BNPGV CITATION EJD FEDTE FGOYB G-2 HMC HVGLF OK1 R2- SEN SEW SSH WUQ XPP EFKBS IQODW CGR CUY CVF ECM EIF NPM 7X8 7S9 L.6 |
| ID | FETCH-LOGICAL-c491t-dc754c9eb0bb45ca5e9eccdd61cfa371337ed5cd0bbddab1c1aa703977a090ca3 |
| IEDL.DBID | .~1 |
| ISSN | 0160-4120 1873-6750 |
| IngestDate | Fri Jul 11 04:36:45 EDT 2025 Fri Jul 11 04:47:44 EDT 2025 Fri May 16 01:57:21 EDT 2025 Mon Jul 21 09:16:51 EDT 2025 Thu Apr 24 23:08:08 EDT 2025 Tue Jul 01 01:23:02 EDT 2025 Fri Feb 23 02:27:43 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | ndl-PCBs PCB4 Validation PCBs TEQ PCB6 Blood concentrations 2,3,7,8-TCDD no-PCB Prediction PCDD/Fs NFG PCB Dietary exposure dl-PCBs bw mo-PCB Dioxin dl-compounds Human Dioxin derivatives Polychlorobiphenyls Exposure Forecast model Blood Feeding Persistent organic pollutant Halogenated hydrocarbon Chlorocarbon Aromatic compound Predictive factor Public health Organic compounds |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 CC BY 4.0 Copyright © 2012 Elsevier Ltd. All rights reserved. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c491t-dc754c9eb0bb45ca5e9eccdd61cfa371337ed5cd0bbddab1c1aa703977a090ca3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PMID | 23032644 |
| PQID | 1139618955 |
| PQPubID | 23479 |
| PageCount | 7 |
| ParticipantIDs | proquest_miscellaneous_1705430747 proquest_miscellaneous_1139618955 pubmed_primary_23032644 pascalfrancis_primary_26646722 crossref_primary_10_1016_j_envint_2012_09_003 crossref_citationtrail_10_1016_j_envint_2012_09_003 elsevier_sciencedirect_doi_10_1016_j_envint_2012_09_003 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2012-12-01 |
| PublicationDateYYYYMMDD | 2012-12-01 |
| PublicationDate_xml | – month: 12 year: 2012 text: 2012-12-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Oxford |
| PublicationPlace_xml | – name: Oxford – name: Netherlands |
| PublicationTitle | Environment international |
| PublicationTitleAlternate | Environ Int |
| PublicationYear | 2012 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Liem, Furst, Rappe (bb0085) 2000; 17 Wigle, Arbuckle, Turner, Berube, Yang, Liu (bb0155) 2008; 11 Milbrath, Wenger, Chang, Emond, Garabrant, Gillespie (bb0100) 2009; 117 Safe (bb0110) 2001; 120 Humblet, Williams, Korrick, Sergeyev, Emond, Birnbaum (bb0045) 2010; 44 Landi, Consonni, Patterson, Needham, Lucier, Brambilla (bb0075) 1998; 106 EFSA (bb0025) 2005; 284 van den Berg, Birnbaum, Denison, De Vito, Farland, Feeley (bb0145) 2006; 93 Thomsen, Knutsen, Liane, Froshaug, Kvalem, Haugen (bb0125) 2008; 52 Thomsen, Haug, Stigum, Froshaug, Broadwell, Becher (bb0120) 2011; 45 Altman (bb0005) 1991 Knutsen, Kvalem, Haugen, Meltzer, Brantsaeter, Alexander (bb0065) 2011; 55 Jakobsson, Westergren (bb0055) 2005; 19 Turunen, Mannisto, Kiviranta, Marniemi, Jula, Tiittanen (bb0135) 2010; 64 Scientific Committee on Food (bb0115) 2001 Haug, Thomsen, Brantsaeter, Kvalem, Haugen, Becher (bb0040) 2010; 36 Johansson, Solvoll, Bjorneboe, Drevon (bb0060) 1998; 68 Kvalem, Knutsen, Thomsen, Haugen, Stigum, Brantsaeter (bb0070) 2009; 53 Thomsen, Liane, Becher (bb0130) 2007; 846 Grimvall, Rylander, NilssonEhle, Nilsson, Stromberg, Hagmar (bb9000) 1997; 32 Llobet, Marti-Cid, Castell, Domingo (bb0095) 2008; 178 Arrebola, Fernandez, Porta, Rosell, de la Ossa, Olea (bb0010) 2010; 36 Giovannucci, Liu, Rimm, Hollis, Fuchs, Stampfer (bb0035) 2006; 98 Jain, Wang (bb0050) 2010; 79 Perello, Gomez-Catalan, Castell, Llobet, Domingo (bb0105) 2012; 50 van den Berg, Birnbaum, Bosveld, Brunstrom, Cook, Feeley (bb0140) 1998; 106 Landrigan, Sonawane, Mattison, McCally, Garg (bb0080) 2002; 110 Bland, Altman (bb0015) 1986; 1 Brantsaeter, Haugen, Alexander, Meltzer (bb0020) 2008; 4 Garabrant, Franzblau, Lepkowski, Gillespie, Adriaens, Demond (bb0030) 2009; 117 VKM (bb0150) 2008 Liu, Meigs, Pittas, Economos, McKeown, Booth (bb0090) 2010; 91 Brantsaeter (10.1016/j.envint.2012.09.003_bb0020) 2008; 4 Knutsen (10.1016/j.envint.2012.09.003_bb0065) 2011; 55 Turunen (10.1016/j.envint.2012.09.003_bb0135) 2010; 64 Grimvall (10.1016/j.envint.2012.09.003_bb9000) 1997; 32 Liem (10.1016/j.envint.2012.09.003_bb0085) 2000; 17 Johansson (10.1016/j.envint.2012.09.003_bb0060) 1998; 68 Liu (10.1016/j.envint.2012.09.003_bb0090) 2010; 91 Wigle (10.1016/j.envint.2012.09.003_bb0155) 2008; 11 Humblet (10.1016/j.envint.2012.09.003_bb0045) 2010; 44 Jain (10.1016/j.envint.2012.09.003_bb0050) 2010; 79 Landrigan (10.1016/j.envint.2012.09.003_bb0080) 2002; 110 Altman (10.1016/j.envint.2012.09.003_bb0005) 1991 Milbrath (10.1016/j.envint.2012.09.003_bb0100) 2009; 117 Garabrant (10.1016/j.envint.2012.09.003_bb0030) 2009; 117 Arrebola (10.1016/j.envint.2012.09.003_bb0010) 2010; 36 VKM (10.1016/j.envint.2012.09.003_bb0150) 2008 Thomsen (10.1016/j.envint.2012.09.003_bb0125) 2008; 52 Landi (10.1016/j.envint.2012.09.003_bb0075) 1998; 106 Perello (10.1016/j.envint.2012.09.003_bb0105) 2012; 50 Kvalem (10.1016/j.envint.2012.09.003_bb0070) 2009; 53 Haug (10.1016/j.envint.2012.09.003_bb0040) 2010; 36 van den Berg (10.1016/j.envint.2012.09.003_bb0145) 2006; 93 Jakobsson (10.1016/j.envint.2012.09.003_bb0055) 2005; 19 Bland (10.1016/j.envint.2012.09.003_bb0015) 1986; 1 Thomsen (10.1016/j.envint.2012.09.003_bb0130) 2007; 846 Llobet (10.1016/j.envint.2012.09.003_bb0095) 2008; 178 Safe (10.1016/j.envint.2012.09.003_bb0110) 2001; 120 Thomsen (10.1016/j.envint.2012.09.003_bb0120) 2011; 45 Giovannucci (10.1016/j.envint.2012.09.003_bb0035) 2006; 98 Scientific Committee on Food (10.1016/j.envint.2012.09.003_bb0115) 2001 van den Berg (10.1016/j.envint.2012.09.003_bb0140) 1998; 106 EFSA (10.1016/j.envint.2012.09.003_bb0025) 2005; 284 |
| References_xml | – volume: 52 start-page: 228 year: 2008 end-page: 237 ident: bb0125 article-title: Consumption of fish from a contaminated lake strongly affects the concentrations of polybrominated diphenyl ethers and hexabromocyclododecane in serum publication-title: Mol Nutr Food Res – volume: 55 start-page: 772 year: 2011 end-page: 782 ident: bb0065 article-title: Sex, BMI and age in addition to dietary intakes influence blood concentrations and congener profiles of dioxins and PCBs publication-title: Mol Nutr Food Res – volume: 106 start-page: 775 year: 1998 end-page: 792 ident: bb0140 article-title: Toxic equivalency factors (TEFs) for PCBs, PCDDs, PCDFs for humans and wildlife publication-title: Environ Health Perspect – volume: 93 start-page: 223 year: 2006 end-page: 241 ident: bb0145 article-title: The 2005 World Health Organization reevaluation of human and mammalian toxic equivalency factors for dioxins and dioxin-like compounds publication-title: Toxicol Sci – volume: 17 start-page: 241 year: 2000 end-page: 259 ident: bb0085 article-title: Exposure of populations to dioxins and related compounds publication-title: Food Addit Contam – volume: 64 start-page: 313 year: 2010 end-page: 323 ident: bb0135 article-title: Dioxins, polychlorinated biphenyls, methyl mercury and omega-3 polyunsaturated fatty acids as biomarkers of fish consumption publication-title: Eur J Clin Nutr – volume: 1 start-page: 307 year: 1986 end-page: 310 ident: bb0015 article-title: Statistical methods for assessing agreement between two methods of clinical measurement publication-title: Lancet – volume: 32 start-page: 329 year: 1997 end-page: 336 ident: bb9000 article-title: Monitoring of polychlorinated biphenyls in human blood plasma: methodological developments and influence of age, lactation, and fish consumption publication-title: Arch Environ Contam Toxicol – volume: 11 start-page: 373 year: 2008 end-page: 517 ident: bb0155 article-title: Epidemiologic evidence of relationships between reproductive and child health outcomes and environmental chemical contaminants publication-title: J Toxicol Environ Health B Crit Rev – volume: 284 start-page: 1 year: 2005 end-page: 137 ident: bb0025 article-title: Opinion of the scientific panel on contaminants in the food chain on a request from the commission related to the presence of non dioxin-like ploychlorinated biphenyls (PCB) in feed and food publication-title: EFSA J – volume: 36 start-page: 772 year: 2010 end-page: 778 ident: bb0040 article-title: Diet and particularly seafood are major sources of perfluorinated compounds in humans publication-title: Environ Int – year: 1991 ident: bb0005 article-title: Practical Statistics for Medical Reseach – volume: 36 start-page: 705 year: 2010 end-page: 713 ident: bb0010 article-title: Multivariate models to predict human adipose tissue PCB concentrations in Southern Spain publication-title: Environ Int – volume: 178 start-page: 117 year: 2008 end-page: 126 ident: bb0095 article-title: Significant decreasing trend in human dietary exposure to PCDD/PCDFs and PCBs in Catalonia, Spain publication-title: Toxicol Lett – volume: 4 start-page: 28 year: 2008 end-page: 43 ident: bb0020 article-title: Validity of a new food frequency questionnaire for pregnant women in the Norwegian Mother and Child Cohort Study (MoBa) publication-title: Matern Child Nutr – volume: 846 start-page: 252 year: 2007 end-page: 263 ident: bb0130 article-title: Automated solid-phase extraction for the determination of polybrominated diphenyl ethers and polychlorinated biphenyls in serum — application on archived Norwegian samples from 1977 to 2003 publication-title: J Chromatogr B Analyt Technol Biomed Life Sci – volume: 19 start-page: 427 year: 2005 end-page: 431 ident: bb0055 article-title: Statistical methods for assessing agreement for ordinal data publication-title: Scand J Caring Sci – volume: 120 start-page: 1 year: 2001 end-page: 7 ident: bb0110 article-title: Molecular biology of the Ah receptor and its role in carcinogenesis publication-title: Toxicol Lett – volume: 106 start-page: 273 year: 1998 end-page: 277 ident: bb0075 article-title: 2,3,7,8-tetrachlorodibenzo-p-dioxin plasma levels in seveso 20 years after the accident publication-title: Environ Health Perspect – year: 2008 ident: bb0150 article-title: Opinion of the Panel on Contaminants of the Norwegian Scientific Committee for Food Safety (VKM) – year: 2001 ident: bb0115 article-title: Opinion for the SCF on the risk assessment of dioxins and dioxin-like PCBs in food, update based on new scientific information available since the SCF opinion of 22nd November 2000 – volume: 50 start-page: 399 year: 2012 end-page: 408 ident: bb0105 article-title: Assessment of the temporal trend of the dietary exposure to PCDD/Fs and PCBs in Catalonia, over Spain: health risks publication-title: Food Chem Toxicol – volume: 68 start-page: 266 year: 1998 end-page: 274 ident: bb0060 article-title: Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample publication-title: Am J Clin Nutr – volume: 45 start-page: 3192 year: 2011 ident: bb0120 article-title: Changes in concentrations of perfluorinated compounds, polybrominated diphenyl ethers and polychlorinated biphenyls in norwegian breast-milk during twelve months of lactation (vol 44, pg 9550, 2010) publication-title: Environ Sci Technol – volume: 91 start-page: 1627 year: 2010 end-page: 1633 ident: bb0090 article-title: Predicted 25-hydroxyvitamin D score and incident type 2 diabetes in the Framingham Offspring Study publication-title: Am J Clin Nutr – volume: 117 start-page: 417 year: 2009 end-page: 425 ident: bb0100 article-title: Apparent half-lives of dioxins, furans, and polychlorinated biphenyls as a function of age, body fat, smoking status, and breast-feeding publication-title: Environ Health Perspect – volume: 98 start-page: 451 year: 2006 end-page: 459 ident: bb0035 article-title: Prospective study of predictors of vitamin D status and cancer incidence and mortality in men publication-title: J Natl Cancer Inst – volume: 117 start-page: 818 year: 2009 end-page: 824 ident: bb0030 article-title: The University of Michigan Dioxin Exposure Study: Predictors of Human Serum Dioxin Concentrations in Midland and Saginaw, Michigan publication-title: Environ Health Perspect – volume: 53 start-page: 1438 year: 2009 end-page: 1451 ident: bb0070 article-title: Role of dietary patterns for dioxin and PCB exposure publication-title: Mol Nutr Food Res – volume: 79 start-page: 243 year: 2010 end-page: 252 ident: bb0050 article-title: Regression models to estimate total polychlorinated biphenyls in the general US population: 2001–2002 and 2003–2004 publication-title: Chemosphere – volume: 44 start-page: 5633 year: 2010 end-page: 5640 ident: bb0045 article-title: Predictors of serum dioxin, furan, and PCB concentrations among women from Chapaevsk, Russia publication-title: Environ Sci Technol – volume: 110 start-page: A313 year: 2002 end-page: A315 ident: bb0080 article-title: Chemical contaminants in breast milk and their impacts on children's health: an overview publication-title: Environ Health Perspect – volume: 120 start-page: 1 year: 2001 ident: 10.1016/j.envint.2012.09.003_bb0110 article-title: Molecular biology of the Ah receptor and its role in carcinogenesis publication-title: Toxicol Lett doi: 10.1016/S0378-4274(01)00301-0 – volume: 32 start-page: 329 year: 1997 ident: 10.1016/j.envint.2012.09.003_bb9000 article-title: Monitoring of polychlorinated biphenyls in human blood plasma: methodological developments and influence of age, lactation, and fish consumption publication-title: Arch Environ Contam Toxicol doi: 10.1007/s002449900193 – volume: 106 start-page: 273 year: 1998 ident: 10.1016/j.envint.2012.09.003_bb0075 article-title: 2,3,7,8-tetrachlorodibenzo-p-dioxin plasma levels in seveso 20 years after the accident publication-title: Environ Health Perspect doi: 10.1289/ehp.98106273 – year: 2008 ident: 10.1016/j.envint.2012.09.003_bb0150 article-title: Opinion of the Panel on Contaminants of the Norwegian Scientific Committee for Food Safety (VKM) – volume: 98 start-page: 451 year: 2006 ident: 10.1016/j.envint.2012.09.003_bb0035 article-title: Prospective study of predictors of vitamin D status and cancer incidence and mortality in men publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djj101 – volume: 55 start-page: 772 year: 2011 ident: 10.1016/j.envint.2012.09.003_bb0065 article-title: Sex, BMI and age in addition to dietary intakes influence blood concentrations and congener profiles of dioxins and PCBs publication-title: Mol Nutr Food Res doi: 10.1002/mnfr.201000243 – volume: 52 start-page: 228 year: 2008 ident: 10.1016/j.envint.2012.09.003_bb0125 article-title: Consumption of fish from a contaminated lake strongly affects the concentrations of polybrominated diphenyl ethers and hexabromocyclododecane in serum publication-title: Mol Nutr Food Res doi: 10.1002/mnfr.200700123 – volume: 91 start-page: 1627 year: 2010 ident: 10.1016/j.envint.2012.09.003_bb0090 article-title: Predicted 25-hydroxyvitamin D score and incident type 2 diabetes in the Framingham Offspring Study publication-title: Am J Clin Nutr doi: 10.3945/ajcn.2009.28441 – volume: 4 start-page: 28 year: 2008 ident: 10.1016/j.envint.2012.09.003_bb0020 article-title: Validity of a new food frequency questionnaire for pregnant women in the Norwegian Mother and Child Cohort Study (MoBa) publication-title: Matern Child Nutr doi: 10.1111/j.1740-8709.2007.00103.x – volume: 79 start-page: 243 year: 2010 ident: 10.1016/j.envint.2012.09.003_bb0050 article-title: Regression models to estimate total polychlorinated biphenyls in the general US population: 2001–2002 and 2003–2004 publication-title: Chemosphere doi: 10.1016/j.chemosphere.2010.02.013 – volume: 64 start-page: 313 year: 2010 ident: 10.1016/j.envint.2012.09.003_bb0135 article-title: Dioxins, polychlorinated biphenyls, methyl mercury and omega-3 polyunsaturated fatty acids as biomarkers of fish consumption publication-title: Eur J Clin Nutr doi: 10.1038/ejcn.2009.147 – volume: 110 start-page: A313 year: 2002 ident: 10.1016/j.envint.2012.09.003_bb0080 article-title: Chemical contaminants in breast milk and their impacts on children's health: an overview publication-title: Environ Health Perspect doi: 10.1289/ehp.021100313 – volume: 45 start-page: 3192 year: 2011 ident: 10.1016/j.envint.2012.09.003_bb0120 article-title: Changes in concentrations of perfluorinated compounds, polybrominated diphenyl ethers and polychlorinated biphenyls in norwegian breast-milk during twelve months of lactation (vol 44, pg 9550, 2010) publication-title: Environ Sci Technol doi: 10.1021/es200682w – volume: 93 start-page: 223 year: 2006 ident: 10.1016/j.envint.2012.09.003_bb0145 article-title: The 2005 World Health Organization reevaluation of human and mammalian toxic equivalency factors for dioxins and dioxin-like compounds publication-title: Toxicol Sci doi: 10.1093/toxsci/kfl055 – volume: 19 start-page: 427 year: 2005 ident: 10.1016/j.envint.2012.09.003_bb0055 article-title: Statistical methods for assessing agreement for ordinal data publication-title: Scand J Caring Sci doi: 10.1111/j.1471-6712.2005.00368.x – volume: 68 start-page: 266 year: 1998 ident: 10.1016/j.envint.2012.09.003_bb0060 article-title: Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample publication-title: Am J Clin Nutr doi: 10.1093/ajcn/68.2.266 – volume: 36 start-page: 705 year: 2010 ident: 10.1016/j.envint.2012.09.003_bb0010 article-title: Multivariate models to predict human adipose tissue PCB concentrations in Southern Spain publication-title: Environ Int doi: 10.1016/j.envint.2010.05.004 – volume: 53 start-page: 1438 year: 2009 ident: 10.1016/j.envint.2012.09.003_bb0070 article-title: Role of dietary patterns for dioxin and PCB exposure publication-title: Mol Nutr Food Res doi: 10.1002/mnfr.200800462 – volume: 11 start-page: 373 year: 2008 ident: 10.1016/j.envint.2012.09.003_bb0155 article-title: Epidemiologic evidence of relationships between reproductive and child health outcomes and environmental chemical contaminants publication-title: J Toxicol Environ Health B Crit Rev doi: 10.1080/10937400801921320 – volume: 36 start-page: 772 year: 2010 ident: 10.1016/j.envint.2012.09.003_bb0040 article-title: Diet and particularly seafood are major sources of perfluorinated compounds in humans publication-title: Environ Int doi: 10.1016/j.envint.2010.05.016 – year: 2001 ident: 10.1016/j.envint.2012.09.003_bb0115 article-title: Opinion for the SCF on the risk assessment of dioxins and dioxin-like PCBs in food, update based on new scientific information available since the SCF opinion of 22nd November 2000 – volume: 106 start-page: 775 year: 1998 ident: 10.1016/j.envint.2012.09.003_bb0140 article-title: Toxic equivalency factors (TEFs) for PCBs, PCDDs, PCDFs for humans and wildlife publication-title: Environ Health Perspect doi: 10.1289/ehp.98106775 – volume: 117 start-page: 417 year: 2009 ident: 10.1016/j.envint.2012.09.003_bb0100 article-title: Apparent half-lives of dioxins, furans, and polychlorinated biphenyls as a function of age, body fat, smoking status, and breast-feeding publication-title: Environ Health Perspect doi: 10.1289/ehp.11781 – volume: 178 start-page: 117 year: 2008 ident: 10.1016/j.envint.2012.09.003_bb0095 article-title: Significant decreasing trend in human dietary exposure to PCDD/PCDFs and PCBs in Catalonia, Spain publication-title: Toxicol Lett doi: 10.1016/j.toxlet.2008.02.012 – volume: 117 start-page: 818 year: 2009 ident: 10.1016/j.envint.2012.09.003_bb0030 article-title: The University of Michigan Dioxin Exposure Study: Predictors of Human Serum Dioxin Concentrations in Midland and Saginaw, Michigan publication-title: Environ Health Perspect doi: 10.1289/ehp.11779 – volume: 50 start-page: 399 year: 2012 ident: 10.1016/j.envint.2012.09.003_bb0105 article-title: Assessment of the temporal trend of the dietary exposure to PCDD/Fs and PCBs in Catalonia, over Spain: health risks publication-title: Food Chem Toxicol doi: 10.1016/j.fct.2011.06.077 – volume: 846 start-page: 252 year: 2007 ident: 10.1016/j.envint.2012.09.003_bb0130 article-title: Automated solid-phase extraction for the determination of polybrominated diphenyl ethers and polychlorinated biphenyls in serum — application on archived Norwegian samples from 1977 to 2003 publication-title: J Chromatogr B Analyt Technol Biomed Life Sci doi: 10.1016/j.jchromb.2006.09.011 – volume: 17 start-page: 241 year: 2000 ident: 10.1016/j.envint.2012.09.003_bb0085 article-title: Exposure of populations to dioxins and related compounds publication-title: Food Addit Contam doi: 10.1080/026520300283324 – volume: 284 start-page: 1 year: 2005 ident: 10.1016/j.envint.2012.09.003_bb0025 article-title: Opinion of the scientific panel on contaminants in the food chain on a request from the commission related to the presence of non dioxin-like ploychlorinated biphenyls (PCB) in feed and food publication-title: EFSA J – year: 1991 ident: 10.1016/j.envint.2012.09.003_bb0005 – volume: 1 start-page: 307 year: 1986 ident: 10.1016/j.envint.2012.09.003_bb0015 article-title: Statistical methods for assessing agreement between two methods of clinical measurement publication-title: Lancet doi: 10.1016/S0140-6736(86)90837-8 – volume: 44 start-page: 5633 year: 2010 ident: 10.1016/j.envint.2012.09.003_bb0045 article-title: Predictors of serum dioxin, furan, and PCB concentrations among women from Chapaevsk, Russia publication-title: Environ Sci Technol doi: 10.1021/es100976j |
| SSID | ssj0002485 |
| Score | 2.154534 |
| Snippet | Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure estimates of these... BACKGROUND: Dioxins and PCBs accumulate in the food chain and might exert toxic effects in animals and humans. In large epidemiologic studies, exposure... |
| SourceID | proquest pubmed pascalfrancis crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 15 |
| SubjectTerms | Adult Aged Aged, 80 and over Animals Benzofurans - blood Biological and medical sciences blood Blood concentrations chemical analysis correlation Diet - statistics & numerical data Dietary exposure Dioxin Dioxins - blood education energy intake Environment. Living conditions Environmental Exposure - analysis Environmental Exposure - statistics & numerical data Environmental pollutants toxicology epidemiological studies Female food chain Food Contamination - analysis Food Contamination - statistics & numerical data food frequency questionnaires food intake furans Humans linear models Male Medical sciences Middle Aged nutritive value PCB polychlorinated biphenyls Polychlorinated Biphenyls - blood polychlorinated dibenzodioxins Polychlorinated Dibenzodioxins - analogs & derivatives Polychlorinated Dibenzodioxins - blood polychlorinated dibenzofurans Prediction Public health. Hygiene Public health. Hygiene-occupational medicine toxicity Toxicology Validation variance Young Adult |
| Title | Development and validation of prediction models for blood concentrations of dioxins and PCBs using dietary intakes |
| URI | https://dx.doi.org/10.1016/j.envint.2012.09.003 https://www.ncbi.nlm.nih.gov/pubmed/23032644 https://www.proquest.com/docview/1139618955 https://www.proquest.com/docview/1705430747 |
| Volume | 50 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3PT9swFH5CcNmEEOtglLHKSLuaxnXS1EeoigqTEBIgcYv8K1O2Ka2aIm0X_va9FyctHACJS5Q4Lz9kP9ufk-99D-A7olBnnVDcCDnksRCSK1z9cGtIFlsLkZqa5Xs1nN7Fl_fJ_QaM21gYolU2Y38Y0-vRuinpN7XZnxdF_4a00WIxoOjPiLYUwR6n5OUnj2uaB0l2BX3viJN1Gz5Xc7womKwkRiV9ESThSvnS9LQ91xVWWh6yXbwMR-tp6XwXdho8yU7DK3-CDV924OMTlcEO7E_WwWxo2vTmqgPb4ZsdC6FIn2HxhEHEdOkYemERci6xWc7mC_qpUx_V-XMqhoCX1cx3Zin6sWwkeCuydsXsb4G7dJ_r8VnFiGH_E4v9Ui_-MawQ_dtXe3B3PrkdT3mTk4HbWIkldzZNYqu8iYyJE6sTr9AJnBsKm2tJK97Uu8Q6PO2cNsIKrXFQQZSpIxVZLfdhs5yV_gCYGaU6oSAA5208tGKUWiltrkY6V166URdk2xSZbQTLKW_Gn6xlpv3KQgNm1IBZpEjotAt8ddU8CHa8YZ-2rZw9c7wM55Q3ruw9c4rV4xDz4PQzGHThuPWSDDst_YnRpZ89VLjskpRpRyXJKzYpomlJ-Q268CW42PoJCDwIyR6---W_wgc6CsScI9hcLh78N4RXS9Or-08Ptk4vfkyv_gMBSCfs |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fb9MwED6N7gHQhKAwKIxhJF6txnXS1I-j2tSxUSGxSXuzHNtBYVNaNZ0E_z13sdNtD9skXqL8sJPIPp8_J999B_AFUaizTiheCDnmqRCSK1z9cFuQLLYRIi9alu98PDtPv11kF1sw7WJhiFYZfX_w6a23jmeGsTWHy6oa_iRttFSMKPozoe0T2CZ1qqwH2wfHJ7P5xiGTaleQ-E44Vegi6FqaF8WT1USqpI-CpF0p75uhdpamwXYrQ8KL-xFpOzMdvYQXEVKyg_DWr2DL1314fktosA-7hzfxbFg0DuimDzvhsx0L0UivYXWLRMRM7RgaYhXSLrFFyZYr-q_THrUpdBqGmJe15HdmKQCyjiq8DZV21eJPhbt0nx_Trw0jkv0vPO3XZvWXYYOYS9-8gfOjw7PpjMe0DNymSqy5s3mWWuWLpCjSzJrMK7QD58bClkbSojf3LrMOLztnCmGFMehXEGiaRCXWyF3o1YvavwNWTHKTURyA8zYdWzHJrZS2VBNTKi_dZACy6wpto2Y5pc640h057bcOHaipA3WiSOt0AHxTaxk0Ox4pn3e9rO_YnsZp5ZGa-3eMYvM4hD04A41GA_jcWYnGcUs_Y0ztF9cNrrwkJdtRWfZAmRwBtaQUBwN4G0zs5gmIPQjMvv_vl_8ET2dn30_16fH85AM8oyuBp7MHvfXq2n9EtLUu9uNo-gcCqiqd |
| 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=Development+and+validation+of+prediction+models+for+blood+concentrations+of+dioxins+and+PCBs+using+dietary+intakes&rft.jtitle=Environment+international&rft.au=Kvalem%2C+Helen+Engelstad&rft.au=Brants%C3%A6ter%2C+Anne+Lise&rft.au=Meltzer%2C+Helle+Margrete&rft.au=Stigum%2C+Hein&rft.date=2012-12-01&rft.issn=1873-6750&rft.eissn=1873-6750&rft.volume=50&rft.spage=15&rft_id=info:doi/10.1016%2Fj.envint.2012.09.003&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0160-4120&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0160-4120&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0160-4120&client=summon |