Matches in SemOpenAlex for { <https://semopenalex.org/work/W3169613812> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W3169613812 abstract "Background/Aim: We developed multi-media biomarkers (MMBs) that integrate information across chemical exposure estimates when multiple biomarker media are used. Since each chemical has unique toxicokinetics and each medium (hair, urine, etc.) reflects differences in kinetics, no single medium is an ideal biomarker of exposure for all chemicals in a mixture. MMBs integrate exposure measures into a common metric that can be used in mixtures analyses. We propose that this will reduce exposure misclassification. Methods: Levels of lead (Pb) and manganese (Mn) were quantified in 5 media- blood, hair, nails, urine, and saliva. MMBs were constructed for both metals using weighted quantile sum (WQS) regression and the 5 media. We estimated the joint effects of both metals on Wechsler Intelligence Scale for Children (WISC) IQ scores in the Public Health Impact of Metals Exposure (PHIME) project, a study of Italian adolescents aged 10-14 years (N~720). Models were adjusted for age, sex, and SES. We compare the mixture effect of Pb and Mn, estimated using WQS regression, when Pb and Mn levels are quantified using MMBs and the original biomarkers. Results: Joint exposure to Pb and Mn was associated with decreased Verbal IQ when Pb and Mn exposure levels were estimated using hair (-0.7, 95% CI [-1.3, -0.1]), saliva (-0.8, 95% CI [-1.3, -0.2]), and MMBs (-1.1, 95% CI [-1.8, -0.5]). Total IQ was associated with Pb and Mn when exposure was assessed using MMBs (-0.71, 95% CI [-1.3, -0.1]) and not with individual biomarkers. Weights indicate that blood and hair contributed most to the MMB for Pb, whereas hair and saliva contributed most to the MMB for Mn. Conclusions: Mixture analyses are improved by using MMBs to estimate exposure. Combining information across multiple biomarkers through MMBs enables greater accuracy in measuring mixture effects and provides increased statistical power over single biomarkers." @default.
- W3169613812 created "2021-06-22" @default.
- W3169613812 creator A5012824375 @default.
- W3169613812 creator A5025497774 @default.
- W3169613812 creator A5027564445 @default.
- W3169613812 creator A5045303930 @default.
- W3169613812 creator A5055088966 @default.
- W3169613812 creator A5066321470 @default.
- W3169613812 creator A5074940124 @default.
- W3169613812 creator A5090678463 @default.
- W3169613812 date "2020-10-26" @default.
- W3169613812 modified "2023-09-28" @default.
- W3169613812 title "Evaluating Metal Mixture Effects across Multiple Media" @default.
- W3169613812 doi "https://doi.org/10.1289/isee.2020.virtual.o-os-625" @default.
- W3169613812 hasPublicationYear "2020" @default.
- W3169613812 type Work @default.
- W3169613812 sameAs 3169613812 @default.
- W3169613812 citedByCount "0" @default.
- W3169613812 crossrefType "journal-article" @default.
- W3169613812 hasAuthorship W3169613812A5012824375 @default.
- W3169613812 hasAuthorship W3169613812A5025497774 @default.
- W3169613812 hasAuthorship W3169613812A5027564445 @default.
- W3169613812 hasAuthorship W3169613812A5045303930 @default.
- W3169613812 hasAuthorship W3169613812A5055088966 @default.
- W3169613812 hasAuthorship W3169613812A5066321470 @default.
- W3169613812 hasAuthorship W3169613812A5074940124 @default.
- W3169613812 hasAuthorship W3169613812A5090678463 @default.
- W3169613812 hasBestOaLocation W31696138121 @default.
- W3169613812 hasConcept C107872376 @default.
- W3169613812 hasConcept C126322002 @default.
- W3169613812 hasConcept C185592680 @default.
- W3169613812 hasConcept C195289149 @default.
- W3169613812 hasConcept C198408306 @default.
- W3169613812 hasConcept C2780026642 @default.
- W3169613812 hasConcept C2781197716 @default.
- W3169613812 hasConcept C29730261 @default.
- W3169613812 hasConcept C42407357 @default.
- W3169613812 hasConcept C504460877 @default.
- W3169613812 hasConcept C55493867 @default.
- W3169613812 hasConcept C71924100 @default.
- W3169613812 hasConcept C99454951 @default.
- W3169613812 hasConceptScore W3169613812C107872376 @default.
- W3169613812 hasConceptScore W3169613812C126322002 @default.
- W3169613812 hasConceptScore W3169613812C185592680 @default.
- W3169613812 hasConceptScore W3169613812C195289149 @default.
- W3169613812 hasConceptScore W3169613812C198408306 @default.
- W3169613812 hasConceptScore W3169613812C2780026642 @default.
- W3169613812 hasConceptScore W3169613812C2781197716 @default.
- W3169613812 hasConceptScore W3169613812C29730261 @default.
- W3169613812 hasConceptScore W3169613812C42407357 @default.
- W3169613812 hasConceptScore W3169613812C504460877 @default.
- W3169613812 hasConceptScore W3169613812C55493867 @default.
- W3169613812 hasConceptScore W3169613812C71924100 @default.
- W3169613812 hasConceptScore W3169613812C99454951 @default.
- W3169613812 hasIssue "1" @default.
- W3169613812 hasLocation W31696138121 @default.
- W3169613812 hasOpenAccess W3169613812 @default.
- W3169613812 hasPrimaryLocation W31696138121 @default.
- W3169613812 hasRelatedWork W1997692464 @default.
- W3169613812 hasRelatedWork W1999084888 @default.
- W3169613812 hasRelatedWork W2009416172 @default.
- W3169613812 hasRelatedWork W2019507204 @default.
- W3169613812 hasRelatedWork W2050438044 @default.
- W3169613812 hasRelatedWork W2062672885 @default.
- W3169613812 hasRelatedWork W2064256271 @default.
- W3169613812 hasRelatedWork W2070481151 @default.
- W3169613812 hasRelatedWork W2753650297 @default.
- W3169613812 hasRelatedWork W2898717250 @default.
- W3169613812 hasVolume "2020" @default.
- W3169613812 isParatext "false" @default.
- W3169613812 isRetracted "false" @default.
- W3169613812 magId "3169613812" @default.
- W3169613812 workType "article" @default.