2022
Psychosocial Stress and Hypothalamic-Pituitary-Adrenal Axis Stress Reactivity: Variations by Race and Socioeconomic Status Among Adults at Risk of Diabetes
Kalesnikava V, Clarke P, Mukherjee B, Sen S, Mezuk B. Psychosocial Stress and Hypothalamic-Pituitary-Adrenal Axis Stress Reactivity: Variations by Race and Socioeconomic Status Among Adults at Risk of Diabetes. Psychosomatic Medicine 2022, 84: 813-821. PMID: 35980779, DOI: 10.1097/psy.0000000000001112.Peer-Reviewed Original ResearchConceptsDomain-specific stressMeasures of psychosocial stressTrier Social Stress TestAssociated with cortisol recoveryHypothalamic-pituitary-adrenal axis reactivityPsychosocial stressPerceived stressEvidence of effect modificationCortisol responseHigh-SES neighborhoodsHigher perceived stressPsychosocial stress measuresSocioeconomically diverse cohortCortisol recoveryRisk of diabetesAssociated with cortisol responseNeighborhood SESHealth disparitiesEffect modificationNeurobiological stress responseSocioeconomic statusSocial Stress TestSelf-report measuresType 2 diabetesSalivary cortisol response
2020
Do black/white differences in telomere length depend on socioeconomic status?
Needham B, Salerno S, Roberts E, Boss J, Allgood K, Mukherjee B. Do black/white differences in telomere length depend on socioeconomic status? Biodemography And Social Biology 2020, 65: 287-312. PMID: 33243026, PMCID: PMC7703670, DOI: 10.1080/19485565.2020.1765734.Peer-Reviewed Original ResearchConceptsUS blacksNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyAccelerated biological agingLeukocyte telomere lengthLonger telomere lengthExamination SurveyRisk of diseaseSocioeconomic statusHigher SESLow SESMiddle SESBlack/white differencesTelomere lengthRace differencesSESEconomic disadvantageBiological ageWhiteGenetic explanationBlackHealthDifferencesSurvey
2019
Expression of socially sensitive genes: The multi-ethnic study of atherosclerosis
Brown K, Diez-Roux A, Smith J, Needham B, Mukherjee B, Ware E, Liu Y, Cole S, Seeman T, Kardia S. Expression of socially sensitive genes: The multi-ethnic study of atherosclerosis. PLOS ONE 2019, 14: e0214061. PMID: 30973896, PMCID: PMC6459532, DOI: 10.1371/journal.pone.0214061.Peer-Reviewed Original ResearchConceptsGene expressionSocial factorsAdult socioeconomic statusPopulation-based cohortMulti-Ethnic StudyMarginal significant associationPercentage of genesInfluence gene expressionLinear regressionExpression of genesLifetime discriminationSocioeconomic statusChronic burdenOverall healthInvestigate associationsGene approachGene setsLinear regression analysisSignificant associationGenesExpression patternsMultiple testingSensitive to social factorsCell typesRegression analysis
2015
Life course socioeconomic status and DNA methylation in genes related to stress reactivity and inflammation: The multi-ethnic study of atherosclerosis
Needham B, Smith J, Zhao W, Wang X, Mukherjee B, Kardia S, Shively C, Seeman T, Liu Y, Roux A. Life course socioeconomic status and DNA methylation in genes related to stress reactivity and inflammation: The multi-ethnic study of atherosclerosis. Epigenetics 2015, 10: 958-969. PMID: 26295359, PMCID: PMC4844216, DOI: 10.1080/15592294.2015.1085139.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisAssociated with DNA methylationSocioeconomic statusStress-related genesMulti-Ethnic StudyStudy of AtherosclerosisDNA methylationLow adult socioeconomic statusLife course socioeconomic statusLow childhood socioeconomic statusMeasures of socioeconomic statusAdult socioeconomic statusSocial patterning of diseaseChildhood socioeconomic statusGene expressionLow socioeconomic statusLife course measuresAssociated with gene expressionInflammation-related genesFunctional consequences of alterationsDNA methylation measurementsNon-HispanicHispanic participantsPotential functional consequencesEpigenetic data
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 Examination