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
2017
Robust distributed lag models using data adaptive shrinkage
Chen Y, Mukherjee B, Adar S, Berrocal V, Coull B. Robust distributed lag models using data adaptive shrinkage. Biostatistics 2017, 19: 461-478. PMID: 29040386, PMCID: PMC6454578, DOI: 10.1093/biostatistics/kxx041.Peer-Reviewed Original ResearchConceptsDistributed lag modelsDistributed LagLag modelTime series dataEffects of air pollutionBias-variance trade-offGeneralized ridge regressionShrinkage methodAir pollution studiesHierarchical Bayes approachShrinkage approachTime seriesDl functionAir pollutionPollution studiesEffect estimatesTrade-offsExtensive simulation studyDependent variableShrinking coefficientsMean square errorLagSimulation studyBayes approachRidge regression
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 degreesHemodynamic, 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
Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference
Li S, Mukherjee B, Batterman S, Ghosh M. Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference. Biometrics 2013, 69: 925-936. PMID: 24289144, PMCID: PMC4108592, DOI: 10.1111/biom.12102.Peer-Reviewed Original ResearchConceptsSemi-parametric Bayesian approachLikelihood-based approachRandom nuisance parametersTime series analysisFrequentist literatureNuisance parametersDirichlet processInferential issuesConditional likelihoodPosterior distributionRisk functionTime seriesBayesian workFrequentist approachCase-crossover designSimulation studyRestrictive assumptionsBayesian approachTime Series DataLikelihood formulationBayesian methodsEquivalent resultsBayesian analysisCase-crossoverBayesian framework
2012
Air pollution and respiratory symptoms among children with asthma: Vulnerability by corticosteroid use and residence area
Lewis T, Robins T, Mentz G, Zhang X, Mukherjee B, Lin X, Keeler G, Dvonch J, Yip F, O'Neill M, Parker E, Israel B, Max P, Reyes A, Committee C. Air pollution and respiratory symptoms among children with asthma: Vulnerability by corticosteroid use and residence area. The Science Of The Total Environment 2012, 448: 48-55. PMID: 23273373, PMCID: PMC4327853, DOI: 10.1016/j.scitotenv.2012.11.070.Peer-Reviewed Original ResearchConceptsParticulate matterAir pollutionAssociated with negative health impactsAmbient pollutant concentrationsAir quality standardsAmbient air pollutionAmbient particulate matterEffective risk reduction interventionsOdds of respiratory symptomsAsthmatic childrenFactors associated with heterogeneityAssociated with increased oddsObserved health effectsRespiratory symptomsRisk reduction interventionsPopulation of asthmatic childrenRespiratory symptom diariesOutdoor PMDaily concentrationsPollutant concentrationsMonitoring sitesGeneralized estimating equationsPollution modelLogistic regression modelsAerodynamic diameterAir-Pollution and Cardiometabolic Diseases (AIRCMD): A prospective study investigating the impact of air pollution exposure and propensity for type II diabetes
Sun Z, Mukherjee B, Brook R, Gatts G, Yang F, Sun Q, Brook J, Fan Z, Rajagopalan S. Air-Pollution and Cardiometabolic Diseases (AIRCMD): A prospective study investigating the impact of air pollution exposure and propensity for type II diabetes. The Science Of The Total Environment 2012, 448: 72-78. PMID: 23182147, PMCID: PMC4548977, DOI: 10.1016/j.scitotenv.2012.10.087.Peer-Reviewed Original ResearchConceptsAir pollution exposureAir pollutionAmbient fine particulate matterMeasures of air pollution exposureImpact of air pollution exposureFine particulate matterExposure to PM2.5Air pollution measurementsPersonal exposure measurementsCreation of novel methodologiesSub-acute exposurePolluted urban environmentsImpact of environmental factorsParticulate matterPollution exposureStudy visitsPollution measurementsType II diabetesProspective cohort studyEnvironmental risk factorsAmbient measurementsII diabetesCohort studyUrban environmentScreening visit