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
2017
Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES
Park S, Zhao Z, Mukherjee B. Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES. Environmental Health 2017, 16: 102. PMID: 28950902, PMCID: PMC5615812, DOI: 10.1186/s12940-017-0310-9.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreBayesian kernel machine regressionNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk scoreAssociated with odds ratiosNutrition Examination SurveyAssociated with systolicExamination SurveyMulti-pollutant approachKernel machine regressionPollutant mixturesSD increaseEpidemiological researchDiastolic blood pressureMortality outcomesOdds ratioBayesian additive regression treesDisease endpointsHealth endpointsCumulative riskPositive associationEnvironmental exposuresIntermediate markersCardiovascular disease
2016
Utilizing Longitudinal Measures of Fetal Growth to Create a Standard Method to Assess the Impacts of Maternal Disease and Environmental Exposure
Cantonwine D, Ferguson K, Mukherjee B, Chen Y, Smith N, Robinson J, Doubilet P, Meeker J, McElrath T. Utilizing Longitudinal Measures of Fetal Growth to Create a Standard Method to Assess the Impacts of Maternal Disease and Environmental Exposure. PLOS ONE 2016, 11: e0146532. PMID: 26731406, PMCID: PMC4701464, DOI: 10.1371/journal.pone.0146532.Peer-Reviewed Original ResearchConceptsFetal growthCohort study populationContemporary obstetric practiceZ-scoreNon-anomalous pregnanciesFetal sizeAssociated with increased fetal sizeClinical dataIncreased risk of perinatal morbidityMixed modelsRisk of perinatal morbidityStandard populationAssociated with fetal growthMeasures of fetal growthPrenatal careAssociated with factorsLinear mixed modelsMaternal BMIObstetric practiceEpidemiological researchMaternal smokingTrimester ultrasound evaluationSuboptimal fetal growthUS populationImpact fetal growth
2014
Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels
Park S, Tao Y, Meeker J, Harlow S, Mukherjee B. Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels. PLOS ONE 2014, 9: e98632. PMID: 24901996, PMCID: PMC4047033, DOI: 10.1371/journal.pone.0098632.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreLipid outcomesEpidemiological researchNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk scoreNutrition Examination SurveyAdverse health responsesSocio-demographic factorsMulti-pollutant exposuresDevelopment of chronic diseasesBody mass indexExamination SurveySerum nutrient levelsMulti-pollutant approachSociodemographic factorsHealth responseChronic diseasesSingle-pollutantDisease riskMass indexEpidemiological studiesNHANES studyRisk predictionMulti-pollutants
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
2010
Cumulative lead exposure and age-related hearing loss: The VA Normative Aging Study
Park S, Elmarsafawy S, Mukherjee B, Spiro A, Vokonas P, Nie H, Weisskopf M, Schwartz J, Hu H. Cumulative lead exposure and age-related hearing loss: The VA Normative Aging Study. Hearing Research 2010, 269: 48-55. PMID: 20638461, PMCID: PMC2934752, DOI: 10.1016/j.heares.2010.07.004.Peer-Reviewed Original ResearchConceptsAge-related hearing lossPure-tone averagePatella lead levelsCumulative lead exposureHearing lossHearing thresholdsNormative Aging StudyAssociated with poorer hearing thresholdsOdds of hearing lossAir conduction hearing thresholdsAssociated with hearing lossConduction hearing thresholdsPoorer hearing thresholdsAging StudyDevelopment of age-related hearing lossReduction of lead exposureVA Normative Aging StudyCross-sectional analysisLead exposureOccupational noiseHearing abilityK X-ray fluorescencePotential confoundersEpidemiological researchLead levels
2008
Tests for gene‐environment interaction from case‐control data: a novel study of type I error, power and designs
Mukherjee B, Ahn J, Gruber S, Rennert G, Moreno V, Chatterjee N. Tests for gene‐environment interaction from case‐control data: a novel study of type I error, power and designs. Genetic Epidemiology 2008, 32: 615-626. PMID: 18473390, DOI: 10.1002/gepi.20337.Peer-Reviewed Original ResearchConceptsGene-environment independence assumptionCase-control studyGene-environment interactionsGene-environment associationsCase-onlyCase-control study of colorectal cancerDetection of gene-environment interactionsType I errorGene-environment dependenceStudy of colorectal cancerGene-environment independenceEffect of genetic susceptibilityCase-only methodCase-only estimatorCase-control estimatorsCase-control dataGene-environment effectsCase-control designCase-control methodCase-control analysisGlutathione S-transferase M1Empirical-BayesEpidemiological researchCase-controlColorectal cancer