2022
Predicting cumulative lead (Pb) exposure using the Super Learner algorithm
Wang X, Bakulski K, Mukherjee B, Hu H, Park S. Predicting cumulative lead (Pb) exposure using the Super Learner algorithm. Chemosphere 2022, 311: 137125. PMID: 36347347, PMCID: PMC10160242, DOI: 10.1016/j.chemosphere.2022.137125.Peer-Reviewed Original ResearchConceptsPatella leadNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyLong-term health effectsPopulation-based studyK-shell X-ray fluorescenceNormative Aging StudyCumulative lead exposureEvaluate health effectsExamination SurveyLead concentrationsBone lead measurementsAging StudyTibia leadPositive associationStudy populationHealth effectsRegression-based predictive modelBone lead concentrationsBlood pressureFlexible machine learning approachCorrelation coefficientX-ray fluorescence techniqueLead measurementsGlobal Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review
Chen C, Haupert S, Zimmermann L, Shi X, Fritsche L, Mukherjee B. Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. The Journal Of Infectious Diseases 2022, 226: 1593-1607. PMID: 35429399, PMCID: PMC9047189, DOI: 10.1093/infdis/jiac136.Peer-Reviewed Original ResearchConceptsPost-COVID-19 conditionCondition prevalenceMeta-analysisGlobal prevalenceHealth effects of COVID-19Prevalence of post-COVID-19 conditionRegional prevalence estimationHealthcare systemPrevalence estimatesPooled prevalencePost-COVID-19Systematic reviewDerSimonian-Laird estimatorMeta-analyzedMemory problemsHealth effectsPrevalenceEffects of COVID-19Post-coronavirus disease 2019Long COVIDCOVID-19COVID-19 conditionsNonhospitalized patientsUnited States
2021
Performance of urine, blood, and integrated metal biomarkers in relation to birth outcomes in a mixture setting
Ashrap P, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Performance of urine, blood, and integrated metal biomarkers in relation to birth outcomes in a mixture setting. Environmental Research 2021, 200: 111435. PMID: 34097892, PMCID: PMC8403638, DOI: 10.1016/j.envres.2021.111435.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreIntraclass correlation coefficientBirth outcomesBody mass indexWeighted quantile sumOdds ratio of preterm birthSecond-hand smoke exposurePre-pregnancy body mass indexOdds of preterm birthAssociated with birth outcomesIncreased odds of preterm birthPractice study designHealth effectsPreterm birthMaternal educationIncreased oddsOdds ratioSmoke exposureStudy designMaternal ageMass indexArea under the curveRisk scoreLogistic regressionConfidence intervals
2018
Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes
Narisetty N, Mukherjee B, Chen Y, Gonzalez R, Meeker J. Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes. Statistics In Medicine 2018, 38: 1582-1600. PMID: 30586682, PMCID: PMC7134269, DOI: 10.1002/sim.8059.Peer-Reviewed Original ResearchProgress in assessing and limiting occupational noise exposures in the United States
Neitzel R, Roberts B, Sayler S, Cheng W, Mukherjee B. Progress in assessing and limiting occupational noise exposures in the United States. The Journal Of The Acoustical Society Of America 2018, 143: 1780-1780. DOI: 10.1121/1.5035826.Peer-Reviewed Original ResearchOccupational noise exposureOccupational noisePrevalence of noise-induced hearing lossNoise exposureNational job-exposure matrixNoise-induced hearing lossNon-auditory health effectsHealth effects of noiseJob-exposure matrixOccupational healthNoise exposure limitsAmerican Conference of Governmental Industrial HygienistsUS workersPresence of regulationHearing lossUnited StatesLoss prevention measuresExposure matrixOccupational noise exposure limitsProtect workersHealth burdenIndustrial hygienistsHealth impactsAdverse health effectsHealth effects
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
Hemodynamic, 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 adults
2011
PM2.5-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 particlesSouthwest