2021
Exposure to Primary Air Pollutants Generated by Highway Traffic and Daily Mortality Risk in Near-Road Communities: A Case-Crossover Study
Filigrana P, Milando C, Batterman S, Levy J, Mukherjee B, Pedde M, Szpiro A, Adar S. Exposure to Primary Air Pollutants Generated by Highway Traffic and Daily Mortality Risk in Near-Road Communities: A Case-Crossover Study. American Journal Of Epidemiology 2021, 191: 63-74. PMID: 34347034, DOI: 10.1093/aje/kwab215.Peer-Reviewed Original ResearchConceptsNear-road populationsAir pollutionMortality riskExposure to traffic-related air pollutionAverage PM2.5 exposureTraffic-generated air pollutionNear-road communitiesResearch LINE sourceConcentrations of PM2.5Traffic-related air pollutionCase-crossover designPrimary air pollutantsConditional logistic regressionPuget Sound area of Washington StateDaily mortality riskCase-crossoverTime-varying covariatesCerebrovascular mortalityPM2.5 exposurePrimary pollutantsQuantify associationsAerodynamic diameterShorter averaging periodsPM2.5PollutionOpportunities 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
2015
Extreme Air Pollution Conditions Adversely Affect Blood Pressure and Insulin Resistance
Brook R, Sun Z, Brook J, Zhao X, Ruan Y, Yan J, Mukherjee B, Rao X, Duan F, Sun L, Liang R, Lian H, Zhang S, Fang Q, Gu D, Sun Q, Fan Z, Rajagopalan S. Extreme Air Pollution Conditions Adversely Affect Blood Pressure and Insulin Resistance. Hypertension 2015, 67: 77-85. PMID: 26573709, PMCID: PMC4830086, DOI: 10.1161/hypertensionaha.115.06237.Peer-Reviewed Original ResearchConceptsFine particulate matterParticulate matterAmbient fine particulate matterSD increaseAssociated with worsening insulin resistanceBlack carbon levelsBlack carbon exposurePublic health warningsAir pollutionBeijing metropolitan areaBlack carbonHealth warningsAssociated with rangeCardiometabolic healthCarbon levelsDiastolic blood pressureExposure windowsCardiometabolic diseasesHealth effectsNonsmoking adultsMetabolic syndromeDeveloping world todayCarbon exposureSystolic blood pressure elevationHealth
2014
The characteristics of coarse particulate matter air pollution associated with alterations in blood pressure and heart rate during controlled exposures
Morishita M, Bard R, Wang L, Das R, Dvonch J, Spino C, Mukherjee B, Sun Q, Harkema J, Rajagopalan S, Brook R. The characteristics of coarse particulate matter air pollution associated with alterations in blood pressure and heart rate during controlled exposures. Journal Of Exposure Science & Environmental Epidemiology 2014, 25: 153-159. PMID: 25227729, PMCID: PMC4462122, DOI: 10.1038/jes.2014.62.Peer-Reviewed Original ResearchConceptsCoarse PMPM massEffects of coarse PMCoarse PM massAmbient coarse PMRural locationsSystolic BPMetrics of exposureBlood pressurePotential health effectsHeart ratePM elementsElevated systolic BPFiltered airAerodynamic diameterDiastolic BP changesMixed model analysisConcentration-response mannerParticulate massFilter samplesParticle constituentsDiastolic BPMeasured elementsHealthy adultsAssociated with similar degreesA Comparison of Exposure Metrics for Traffic-Related Air Pollutants: Application to Epidemiology Studies in Detroit, Michigan
Batterman S, Burke J, Isakov V, Lewis T, Mukherjee B, Robins T. A Comparison of Exposure Metrics for Traffic-Related Air Pollutants: Application to Epidemiology Studies in Detroit, Michigan. International Journal Of Environmental Research And Public Health 2014, 11: 9553-9577. PMID: 25226412, PMCID: PMC4199035, DOI: 10.3390/ijerph110909553.Peer-Reviewed Original ResearchConceptsTraffic-related air pollutionAir pollutionTraffic densityTraffic emissionsExposure metricsDispersion modelTransportation planning studiesSource of air pollutant emissionsComparison of exposure distributionNear-road environmentExposure to traffic-related air pollutionEmission densityAir pollutant emissionsAir pollution epidemiologyDispersion modeling systemVehicle mixEpidemiological studiesTraffic volumePollutant concentrationsSpatial variabilityResidential locationHealth risksTrafficPollutionProximity classificationPersonal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data.
Batterman S, Su F, Li S, Mukherjee B, Jia C. Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data. Research Report 2014, 3-63. PMID: 25145040, PMCID: PMC4577247.Peer-Reviewed Original ResearchConceptsPositive matrix factorizationCumulative cancer riskAir exchange rateVOC exposureToxicological mode of actionMethod detection limitsPersonal exposureVolatile organic compoundsOutdoor concentrationsVOC mixturesVOC concentrationsEmission sourcesEmission sources of volatile organic compoundsHome air exchange ratesLinear mixed-effects modelsSources of volatile organic compoundsLifetime cumulative cancer riskToxicological modeVOC dataIndividual VOCsVariables associated with exposureRelationship of IndoorIndoor VOC concentrationsCancer riskHealth-based guidelinesHemodynamic, Autonomic, and Vascular Effects of Exposure to Coarse Particulate Matter Air Pollution from a Rural Location
Brook R, Bard R, Morishita M, Dvonch J, Wang L, Yang H, Spino C, Mukherjee B, Kaplan M, Yalavarthi S, Oral E, Ajluni N, Sun Q, Brook J, Harkema J, Rajagopalan S. Hemodynamic, Autonomic, and Vascular Effects of Exposure to Coarse Particulate Matter Air Pollution from a Rural Location. Environmental Health Perspectives 2014, 122: 624-630. PMID: 24618231, PMCID: PMC4050508, DOI: 10.1289/ehp.1306595.Peer-Reviewed Original ResearchConceptsCoarse PMParticulate matterAir pollutionRural locationsCoarse particlesParticulate matter air pollutionCoarse PM exposureAssociated with numerous adverse health effectsAcute CV eventsBlood pressureFine particulate matterAmbient coarse particlesNumerous adverse health effectsGlobal air pollutionAdverse health effectsHeart rateFrequency heart rate variabilityCoarse CAPPM exposureFiltered airRandomized double-blind crossover studyDiastolic BPDouble-blind crossover studyHealth effectsHealthy adultsNo effect of acute exposure to coarse particulate matter air pollution in a rural location on high-density lipoprotein function
Maiseyeu A, Yang H, Ramanathan G, Yin F, Bard R, Morishita M, Dvonch J, Wang L, Spino C, Mukherjee B, Badgeley M, Barajas-Espinosa A, Sun Q, Harkema J, Rajagopalan S, Araujo J, Brook R. No effect of acute exposure to coarse particulate matter air pollution in a rural location on high-density lipoprotein function. Inhalation Toxicology 2014, 26: 23-29. PMID: 24417404, PMCID: PMC4445365, DOI: 10.3109/08958378.2013.850761.Peer-Reviewed Original ResearchConceptsRural locationsParticulate matter air pollutionHDL dysfunctionHDL anti-oxidative capacityRandomized double-blind crossover studyDouble-blind crossover studyHDL functionHDL-mediated cholesterol efflux capacityParaoxonase activityFiltered airVascular protective functionCholesterol efflux capacityHigh-density lipoprotein (HDL) particlesMetrics of HDL functionHDL-mediated effluxConcentrated ambient particlesCrossover studyImpact of PMEfflux capacityPM exposureVenous bloodAnimal studiesHealthy humansCoarse PMWilcoxon test
2013
Modeling and analysis of personal exposures to VOC mixtures using copulas
Su F, Mukherjee B, Batterman S. Modeling and analysis of personal exposures to VOC mixtures using copulas. Environment International 2013, 63: 236-245. PMID: 24333991, PMCID: PMC4233140, DOI: 10.1016/j.envint.2013.11.004.Peer-Reviewed Original ResearchConceptsVolatile organic compound mixtureVolatile organic compoundsPositive matrix factorizationCumulative cancer riskLikelihood of adverse health effectsLifetime cumulative cancer riskMixtures of pollutantsMeasurements of volatile organic compoundsToxicological mode of actionVolatile organic compound compositionMultivariate lognormal modelsPersonal exposure measurementsEvaluate cumulative risksAdverse health effectsAir exchange rateRIOPA participantsEnvironmental mixturesVehicle exhaustFit lognormal distributionsChlorinated solventsPersonal airRIOPADependence of multiple variablesToxicological modeIndoor-outdoorStatistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons
Sun Z, Tao Y, Li S, Ferguson K, Meeker J, Park S, Batterman S, Mukherjee B. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environmental Health 2013, 12: 85. PMID: 24093917, PMCID: PMC3857674, DOI: 10.1186/1476-069x-12-85.Peer-Reviewed Original ResearchConceptsMultipollutant modelsHealth impacts of environmental factorsEffect estimatesExposure-response associationsExposure to multiple pollutantsTime series designConsequence of environmental exposureSample sizeHealth impactsEnvironmental exposuresPresence of multicollinearityRisk predictionPotential interactive effectsInitial screeningPollutant mixturesImpact of environmental factorsSupervised principal component analysisModel dimensionsStatistical literatureData examplesTree-based methodsMultiple pollutantsVariable selectionSimulation studyReduce model dimensionDeterminants of personal, indoor and outdoor VOC concentrations: An analysis of the RIOPA data
Su F, Mukherjee B, Batterman S. Determinants of personal, indoor and outdoor VOC concentrations: An analysis of the RIOPA data. Environmental Research 2013, 126: 192-203. PMID: 24034784, PMCID: PMC4243524, DOI: 10.1016/j.envres.2013.08.005.Peer-Reviewed Original ResearchConceptsVolatile organic compoundsAir exchange rateVOC concentrationsAssociated with citiesEmission sourcesPersonal exposureEnvironmental exposure to volatile organic compoundsOutdoor VOC concentrationsVolatile organic compound levelsExposure to volatile organic compoundsVolatile organic compound exposureWater supply typesNon-smoking householdsVOC sourcesOutdoor sourcesOutdoor concentrationsPersonal airLinear mixed-effects modelsRIOPAIndoor-outdoorOrganic compoundsWind speedIndoor measurementsMixed-effects modelsExposure determinants
2011
Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: Time-series and time-stratified case-crossover analyses with threshold effects
Li S, Batterman S, Wasilevich E, Wahl R, Wirth J, Su F, Mukherjee B. Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: Time-series and time-stratified case-crossover analyses with threshold effects. Environmental Research 2011, 111: 1137-1147. PMID: 21764049, DOI: 10.1016/j.envres.2011.06.002.Peer-Reviewed Original ResearchConceptsAmbient air pollutionGeneralized additive modelCase-crossover designConditional logistic regressionPediatric Medicaid populationAir pollutionAsthma morbidityAssociated with ambient air pollutionMedicaid populationEffects of air pollutionAsthma emergency department visitsAdditive modelLogistic regressionConditional logistic regression modelsAcute asthma eventsAssociations of SO2Interquartile range increaseCase-crossover analysisEmergency department visitsCase-crossover studyPM2.5 concentrationsPM2.5 thresholdLogistic regression modelsStrong effect sizesPM2.5PM2.5-induced changes in cardiac function of hypertensive rats depend on wind direction and specific sources in Steubenville, Ohio
Kamal A, Rohr A, Mukherjee B, Morishita M, Keeler G, Harkema J, Wagner J. PM2.5-induced changes in cardiac function of hypertensive rats depend on wind direction and specific sources in Steubenville, Ohio. Inhalation Toxicology 2011, 23: 417-430. PMID: 21639710, DOI: 10.3109/08958378.2011.580387.Peer-Reviewed Original ResearchConceptsNE windsSW windsSource factorsMobile source factorsPositive matrix factorizationConcentrated ambient particlesPotential emission sourcesSources of PM(2.5Adverse health effectsPM constituentsWind directionParticulate matterMobile sourcesIndividual elemental componentsTrace elementsAmbient particlesIron/steel productionPM(2.5IncinerationAmbient PM(2.5Metal factorWindHealth effectsExposure to concentrated ambient particlesSouthwestAsthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan
Li S, Batterman S, Wasilevich E, Elasaad H, Wahl R, Mukherjee B. Asthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan. Environmental Health 2011, 10: 34. PMID: 21513554, PMCID: PMC3224543, DOI: 10.1186/1476-069x-10-34.Peer-Reviewed Original ResearchConceptsConditional logistic regressionPopulation-based matched case-control studyPediatric Medicaid populationCase-control studyMedicaid populationProximity of residenceLogistic regressionConditional logistic regression modelsElevated risk of asthmaRisk of asthmaEmergency department visitsCase-control analysisLogistic regression modelsHigh-risk populationTraffic-related pollutantsAsthma outcomesDepartment visitsAsthma eventsAsthma claimAsthma-related eventsAsthma casesEcological biasOdds ratioInvestigate associationsMethodThis study
2010
Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan
Rohr A, Kamal A, Morishita M, Mukherjee B, Keeler G, Harkema J, Wagner J. Altered Heart Rate Variability in Spontaneously Hypertensive Rats Is Associated with Specific Particulate Matter Components in Detroit, Michigan. Environmental Health Perspectives 2010, 119: 474-480. PMID: 21163724, PMCID: PMC3080928, DOI: 10.1289/ehp.1002831.Peer-Reviewed Original ResearchConceptsSource factorsPositive matrix factorizationNormal-to-normal intervalsLocal industrial sourcesParticulate matter componentsFine particulate matterSludge factorSemicontinuous ElementsSludge incinerationAerosol samplerAdverse cardiopulmonary health effectsAmbient particlesHeart rate variabilityExposure to fine particulate matterParticulate matterSulfation factorWinterRoot mean squareIndustrial sourcesIncreased root mean squareSummerCement/limeAnalytical resultsHeart rateSludge