2020
Predictors of urinary and blood Metal(loid) concentrations among pregnant women in Northern Puerto Rico
Ashrap P, Watkins D, Mukherjee B, Boss J, Richards M, Rosario Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Predictors of urinary and blood Metal(loid) concentrations among pregnant women in Northern Puerto Rico. Environmental Research 2020, 183: 109178. PMID: 32007748, PMCID: PMC7167342, DOI: 10.1016/j.envres.2020.109178.Peer-Reviewed Original ResearchConceptsBlood concentrations of CuTrace metal exposureConcentrations of CuExposure reduction strategiesBiomarkers of exposureBlood HgMetalloid exposureMetal exposureNorthern Puerto RicoBlood CdTrace metalsBlood PbRice consumptionExposure sourcesPuerto RicoMetal(loid)sMetal(loidExposure assessmentBiomarker variationsPbPublic waterZnFishMnMetal
2019
Derivation of Time-Activity Data Using Wearable Cameras and Measures of Personal Inhalation Exposure among Workers at an Informal Electronic-Waste Recovery Site in Ghana
Laskaris Z, Milando C, Batterman S, Mukherjee B, Basu N, O’neill M, Robins T, Fobil J. Derivation of Time-Activity Data Using Wearable Cameras and Measures of Personal Inhalation Exposure among Workers at an Informal Electronic-Waste Recovery Site in Ghana. Annals Of Work Exposures And Health 2019, 63: 829-841. PMID: 31334545, PMCID: PMC6788341, DOI: 10.1093/annweh/wxz056.Peer-Reviewed Original ResearchConceptsTime-activity patternsTime-activity dataPM2.5 exposureAgbogbloshie e-waste siteE-waste sitesRecovery sitesExposure to workplace hazardsReal-time particle monitorsNon-work-related activitiesPersonal inhalation exposureWearable camerasE-waste materialsPM2.5 levelsElectronic-wasteWorld Health Organization standardsWorld Health OrganizationParticulate matterPM2.5E-wasteWorkplace hazardsTime-activityBillion workersMetal recoveryExposure assessmentOccupational hazards
2017
Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies
Patel C, Kerr J, Thomas D, Mukherjee B, Ritz B, Chatterjee N, Jankowska M, Madan J, Karagas M, McAllister K, Mechanic L, Fallin M, Ladd-Acosta C, Blair I, Teitelbaum S, Amos C. Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies. Cancer Epidemiology Biomarkers & Prevention 2017, 26: 1370-1380. PMID: 28710076, PMCID: PMC5581729, DOI: 10.1158/1055-9965.epi-17-0459.Peer-Reviewed Original ResearchConceptsFollow-up of study participantsInfluence cancer riskExposure and behaviourPopulation-based studyExposure assessmentCase-control studyPhysical activityCancer riskCorrelated exposuresStudy participantsEpidemiological studiesGenetic susceptibilityEnvironmental exposure assessmentFollow-upData collectionMultidimensional indicatorsCancer developmentEvaluated 1Indicators of exposureComplex effects of environmental factorsEpidemiological investigationsOccupational exposure assessmentAssessmentEnvironmental factorsDisease developmentCurrent Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases
McAllister K, Mechanic L, Amos C, Aschard H, Blair I, Chatterjee N, Conti D, Gauderman W, Hsu L, Hutter C, Jankowska M, Kerr J, Kraft P, Montgomery S, Mukherjee B, Papanicolaou G, Patel C, Ritchie M, Ritz B, Thomas D, Wei P, Witte J, participants O. Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. American Journal Of Epidemiology 2017, 186: 753-761. PMID: 28978193, PMCID: PMC5860428, DOI: 10.1093/aje/kwx227.Peer-Reviewed Original ResearchConceptsGene-environment interaction studiesStudies of complex diseasesGene-environmentAmerican Society of Human Genetics meetingMeasures of environmental exposureGene-environment interactionsComplex diseasesNational Institute of Environmental Health SciencesNational Cancer InstituteEnvironmental Health SciencesStudy designHealth SciencesCancer InstituteEnvironmental exposuresEnvironmental exposure assessmentNational InstituteLarge-scale studiesExposure assessmentNext-generation sequencing dataDisease outcomeNationalSequence dataThemesStudies of human populationsParticipants
2012
Likelihood‐based methods for regression analysis with binary exposure status assessed by pooling
Lyles R, Tang L, Lin J, Zhang Z, Mukherjee B. Likelihood‐based methods for regression analysis with binary exposure status assessed by pooling. Statistics In Medicine 2012, 31: 2485-2497. PMID: 22415630, PMCID: PMC3528351, DOI: 10.1002/sim.4426.Peer-Reviewed Original ResearchConceptsPopulation-based case-control study of colorectal cancerCase-control study of colorectal cancerPopulation-based case-control studyStudy of colorectal cancerExposure statusBinary outcomesRegression modelsCase-control sampleLogistic regression modelsGene-disease associationsObserved binary outcomeStudy designEpidemiological studiesColorectal cancerAssess exposureMaximum likelihood analysisRegression analysisLikelihood-based methodsExposure assessmentMaximum likelihood approachLikelihood approachCross-sectionSimulation studyOutcomesLikelihood analysis
2011
Occupational noise exposure assessment using O*NET and its application to a study of hearing loss in the US general population
Choi Y, Hu H, Tak S, Mukherjee B, Park S. Occupational noise exposure assessment using O*NET and its application to a study of hearing loss in the US general population. Occupational And Environmental Medicine 2011, 69: 176. PMID: 21725070, PMCID: PMC3277688, DOI: 10.1136/oem.2011.064758.Peer-Reviewed Original ResearchConceptsNational Health and Nutrition Examination SurveyPure-tone averageHearing lossNoise scoresGeneral populationStudy of hearing lossNoise-induced health effectsHealth and Nutrition Examination SurveyNutrition Examination SurveyNoise exposure assessmentUS general populationNoise exposure dataLogistic regression modelsHearing thresholdsOccupational noiseExamination SurveyExposure to soundExposure assessmentPotential confoundersEpidemiological researchScore quintilesQuintileAssessment toolOccupational categoriesEpidemiological evidence