2022
Persistent organic pollutant exposure contributes to Black/White differences in leukocyte telomere length in the National Health and Nutrition Examination Survey
Roberts E, Boss J, Mukherjee B, Salerno S, Zota A, Needham B. Persistent organic pollutant exposure contributes to Black/White differences in leukocyte telomere length in the National Health and Nutrition Examination Survey. Scientific Reports 2022, 12: 19960. PMID: 36402910, PMCID: PMC9675834, DOI: 10.1038/s41598-022-24316-0.Peer-Reviewed Original ResearchConceptsNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyPersistent organic pollutantsLeukocyte telomere lengthNutrition Examination SurveyToxic equivalent quotientPolychlorinated biphenylsBlack/white differencesExamination SurveyCross-sectional National Health and Nutrition Examination SurveyNon-Hispanic Black AmericansExposure scoreNon-Hispanic white AmericansSurvey-weighted linear regression modelsIndirect effects of raceAssociated with longer leukocyte telomere lengthSingle-pollutant modelsIndividual persistent organic pollutantsExposure to polychlorinated biphenylsLonger leukocyte telomere lengthSelf-reported racePersistent organic pollutant exposuresBlack AmericansIndividual polychlorinated biphenylOrganic pollutant exposuresPredicting 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 measurements
2018
Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014
Wang X, Mukherjee B, Park S. Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014. Environment International 2018, 121: 683-694. PMID: 30316184, PMCID: PMC6268112, DOI: 10.1016/j.envint.2018.09.035.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreAssociated with obesityHeavy metal mixturesHeavy metalsMetal mixturesAssociation of cumulative exposureCumulative exposureComplex survey designEffects of cumulative exposurePhysical activityObesity measuresAdaptive elastic-netChronic conditionsExposure to heavy metalsInteraction of heavy metalsWaist circumferenceTotal body fatNHANES cyclesU.S. adultsEpidemiological researchType 2 diabetes mellitusCorrelated heavy metalSmoking statusHigher BMISkinfold thickness
2014
Personal 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 guidelines
2013
Distribution, Variability, and Predictors of Urinary Concentrations of Phenols and Parabens among Pregnant Women in Puerto Rico
Meeker J, Cantonwine D, Rivera-González L, Ferguson K, Mukherjee B, Calafat A, Ye X, Del Toro L, Crespo-Hernández N, Jiménez-Vélez B, Alshawabkeh A, Cordero J. Distribution, Variability, and Predictors of Urinary Concentrations of Phenols and Parabens among Pregnant Women in Puerto Rico. Environmental Science And Technology 2013, 47: 3439-3447. PMID: 23469879, PMCID: PMC3638245, DOI: 10.1021/es400510g.Peer-Reviewed Original ResearchConceptsBenzophenone-3Bisphenol AConcentrations of bisphenol AConcentrations of triclosanPuerto RicoUrinary concentrations of triclosanNorthern Puerto RicoConcentration of phenolHuman exposureB-PbTriclosanIntraclass correlation coefficientFrequent detectionUrinary concentrationsMethyl parabenParabensPropyl parabenEndocrine-related diseasesPregnant womenReduce exposureButyl parabenWomen of reproductive agePuerto Rican pregnant womenConcentrationRico
2012
Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level
Mentz G, Schulz A, Mukherjee B, Ragunathan T, Perkins D, Israel B. Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level. BMC Health Services Research 2012, 12: 312. PMID: 22967264, PMCID: PMC3483283, DOI: 10.1186/1472-6963-12-312.Peer-Reviewed Original ResearchConceptsHealthy Environments PartnershipSelf-reported hypertension prevalenceEstimates of hypertension prevalenceSelf-reported dataHypertension prevalenceNHANES sampleUrban sampleNational Health and Nutrition ExaminationSelf-reportAssessment of population healthPopulation-based interventionsSelf-reported hypertensionUnderreporting of hypertensionEstimates of hypertensionAccuracy of self-reported dataHealth care programsPrevalence of hypertensionMethodsWe analyzed dataPopulation level estimatesModerate to goodSelf-reported survey dataEthnically diverse urban samplePopulation healthCare programNutrition ExaminationEnvironmental Cadmium and Lead Exposures and Hearing Loss in U.S. Adults: The National Health and Nutrition Examination Survey, 1999 to 2004
Choi Y, Hu H, Mukherjee B, Miller J, Park S. Environmental Cadmium and Lead Exposures and Hearing Loss in U.S. Adults: The National Health and Nutrition Examination Survey, 1999 to 2004. Environmental Health Perspectives 2012, 120: 1544-1550. PMID: 22851306, PMCID: PMC3556613, DOI: 10.1289/ehp.1104863.Peer-Reviewed Original ResearchConceptsNational Health and Nutrition Examination SurveyPure-tone averageHealth and Nutrition Examination SurveyHearing lossNutrition Examination SurveyExamination SurveyU.S. adultsRisk factorsGeneral populationU.S. general populationBlood cadmiumHearing thresholdsNonoccupational noiseHearing abilityLow-level exposure to cadmiumLead exposureYears of ageClinical risk factorsU.S. populationExamination componentsEnvironmental cadmiumEpidemiological studiesHearingAnalyzed dataAdults
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
2009
Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey
Park S, Mukherjee B, Xia X, Sparrow D, Weisskopf M, Nie H, Hu H. Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey. Journal Of Occupational And Environmental Medicine 2009, 51: 1422-1436. PMID: 19952788, PMCID: PMC2939477, DOI: 10.1097/jom.0b013e3181bf6c8d.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBone and BonesBostonCohort StudiesEnvironmental ExposureFemaleHumansHypertensionLeadLongitudinal StudiesMaleMiddle AgedNutrition SurveysPatellaRadiographyRegression AnalysisRisk AssessmentRisk FactorsSpectrometry, X-Ray EmissionTibiaUnited StatesUnited States Department of Veterans AffairsYoung AdultConceptsNational Health and Nutrition Examination SurveyThird National Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyCommunity-based cohortPatella leadExamination SurveyCohort of older menCommunity-based cohort of older menK X-ray fluorescenceNHANES-IIISignificant associationBlood lead levelsOlder menStandard covariatesPatellaExternal validationCorrelation coefficientBlood leadLead exposureTibiaLead levelsAssociationSurveyLead studies