2024
Cross-shift changes in pulmonary function and occupational exposure to particulate matter among e-waste workers in Ghana
Laskaris Z, O'Neill M, Batterman S, Mukherjee B, Fobil J, Robins T. Cross-shift changes in pulmonary function and occupational exposure to particulate matter among e-waste workers in Ghana. Frontiers In Public Health 2024, 12: 1368112. PMID: 38784567, PMCID: PMC11111984, DOI: 10.3389/fpubh.2024.1368112.Peer-Reviewed Original ResearchConceptsE-waste workersExposure to particulate matterE-wasteParticulate matterAgbogbloshie e-waste siteInhalation exposure to particulate matterE-waste sitesBurning e-wasteConcentrations of PMHealth-based guidelinesExposure to airborne pollutantsExposure to PMOccupational exposure to particulate matterCross-shift changesElectronic-wasteForced vital capacityPersonal PMPM exposureAirborne pollutantsLinear mixed modelsBreathing zone concentrationsPulmonary functionComparison populationRecovery workersMixed models
2022
Occupational history associates with ALS survival and onset segment
Goutman S, Boss J, Godwin C, Mukherjee B, Feldman E, Batterman S. Occupational history associates with ALS survival and onset segment. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration 2022, 24: 219-229. PMID: 36193557, PMCID: PMC10067530, DOI: 10.1080/21678421.2022.2127324.Peer-Reviewed Original ResearchMeSH KeywordsAmyotrophic Lateral SclerosisFemaleHumansMaleMilitary PersonnelOccupational ExposureProspective StudiesRisk FactorsConceptsStandard Occupational ClassificationOccupational settingsOnset segmentSelf-reported occupational exposureAmyotrophic Lateral Sclerosis RegistrySelf-reported exposureExposure to particulate matterCervical onsetStandard Occupational Classification codesMultinomial logistic regression modelCox proportional hazards modelsLogistic regression modelsSymptom onset to diagnosisOccupational pesticide exposureProportional hazards modelAssociated with workMaintenance occupationsGrounds cleaningALS clinicALS participantsProspective cohortAdjusted modelsDiagnosis ageAmyotrophic lateral sclerosis participantsOccupational historyAssociations of self-reported occupational exposures and settings to ALS: a case–control study
Goutman S, Boss J, Godwin C, Mukherjee B, Feldman E, Batterman S. Associations of self-reported occupational exposures and settings to ALS: a case–control study. International Archives Of Occupational And Environmental Health 2022, 95: 1567-1586. PMID: 35593931, PMCID: PMC9424174, DOI: 10.1007/s00420-022-01874-4.Peer-Reviewed Original ResearchConceptsStandard Occupational ClassificationStandard Occupational Classification codesExposure to particulate matterProductive occupationsALS riskSelf-reported occupational exposureHigher risk of amyotrophic lateral sclerosisOccupational exposureHigher ALS riskRisk of amyotrophic lateral sclerosisRisk factor modificationOccupational exposure to particulate matterExposure surveyIncreased ALS riskCase-control studyMaintenance occupationsGrounds cleaningFactor modificationExposure scoreTargeted screeningAmyotrophic lateral sclerosis diagnosisRepair occupationsAdaptive elastic net modelOccupational classificationProgressive neurological disease
2021
Opportunities and challenges in reducing personal inhalation exposure to air pollution among electronic waste recovery workers in Ghana
Laskaris Z, Batterman S, Arko‐Mensah J, Mukherjee B, Fobil J, O'Neill M, Robins T. Opportunities and challenges in reducing personal inhalation exposure to air pollution among electronic waste recovery workers in Ghana. American Journal Of Industrial Medicine 2021, 64: 381-397. PMID: 33522624, PMCID: PMC8046737, DOI: 10.1002/ajim.23229.Peer-Reviewed Original ResearchConceptsPersonal PM<sub>2.5</sub>Burning e-wasteE-wasteHigh PM<sub>2.5</sub> concentrationsAgbogbloshie e-waste siteExposure to air pollutionExposure to particulate matterSize-specific PMInhalation exposure to particulate matterE-waste sitesE-waste workersLevels of PMPM samplesParticulate matterBurning activitiesAir pollutionTime-activityTime-activity dataElectronic wasteWorker's breathing zonePersonal samplesToxic emissionsLinear mixed modelsSite locationWind direction
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
2018
Response to Dobie et al. Letter, ‘Exchange Rate and Risk of Noise-induced Hearing Loss in Construction Workers’
Roberts B, Seixas N, Mukherjee B, Neitzel R. Response to Dobie et al. Letter, ‘Exchange Rate and Risk of Noise-induced Hearing Loss in Construction Workers’. Annals Of Work Exposures And Health 2018, 62: 1179-1181. PMID: 30346476, DOI: 10.1093/annweh/wxy085.Peer-Reviewed Original ResearchImputation of missing values in a large job exposure matrix using hierarchical information
Roberts B, Cheng W, Mukherjee B, Neitzel R. Imputation of missing values in a large job exposure matrix using hierarchical information. Journal Of Exposure Science & Environmental Epidemiology 2018, 28: 615-648. PMID: 29789667, PMCID: PMC9929916, DOI: 10.1038/s41370-018-0037-x.Peer-Reviewed Original ResearchEvaluating the Risk of Noise-Induced Hearing Loss Using Different Noise Measurement Criteria
Roberts B, Seixas N, Mukherjee B, Neitzel R. Evaluating the Risk of Noise-Induced Hearing Loss Using Different Noise Measurement Criteria. Annals Of Work Exposures And Health 2018, 62: 295-306. PMID: 29415217, DOI: 10.1093/annweh/wxy001.Peer-Reviewed Original ResearchConceptsHearing threshold levelsHearing outcomesHearing lossOccupational Safety and Health AdministrationRisk of noise-induced hearing lossHealth AdministrationNoise exposureOccupational Safety and HealthNoise-induced hearing lossInstitute of Occupational Safety and HealthSafety and HealthNational Institute of Occupational Safety and HealthCohort of construction workersMixed modelsDuration of participationAssessment of noise exposureMeasures of exposureHearing levelAkaike’s information criterion differencesConstruction workersAverage noise levelLinear mixed modelsLAVGContinuous averagingOSHA
2017
Meta-analysis of job-exposure matrix data from multiple sources
Cheng W, Roberts B, Mukherjee B, Neitzel R. Meta-analysis of job-exposure matrix data from multiple sources. Journal Of Exposure Science & Environmental Epidemiology 2017, 28: 259-274. PMID: 28975928, PMCID: PMC9936531, DOI: 10.1038/jes.2017.19.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremDatabases, FactualEnvironmental MonitoringEpidemiologic MethodsHumansOccupational ExposureOccupationsRisk AssessmentUnited StatesOpportunities 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 development
2016
Association of Environmental Toxins With Amyotrophic Lateral Sclerosis
Su F, Goutman S, Chernyak S, Mukherjee B, Callaghan B, Batterman S, Feldman E. Association of Environmental Toxins With Amyotrophic Lateral Sclerosis. JAMA Neurology 2016, 73: 803-11. PMID: 27159543, PMCID: PMC5032145, DOI: 10.1001/jamaneurol.2016.0594.Peer-Reviewed Original ResearchMeSH KeywordsAgedAmyotrophic Lateral SclerosisCase-Control StudiesEnvironmental ExposureEnvironmental PollutantsFemaleGas Chromatography-Mass SpectrometryHumansMaleMichiganMiddle AgedMultivariate AnalysisOccupational ExposureOdds RatioOutcome Assessment, Health CareRetrospective StudiesRisk FactorsSurveys and QuestionnairesConceptsBrominated flame retardantsPersistent environmental pollutantsResidential exposureOrganochlorine pesticidesPolychlorinated biphenylsOdds of ALSAssociation of occupational exposureDisease risk factorsExposure time windowsEnvironmental pollutionRisk factorsModifiable risk factorsMultivariate modelOccupational exposureLogistic regression modelsCase-control studySurvey dataFamily history of amyotrophic lateral sclerosisExposure windowsIncreased oddsFamily historyAssociated with amyotrophic lateral sclerosisHistory of amyotrophic lateral sclerosisRegression modelsMilitary service