An exploratory analysis of the impact of area-level exposome on geographic disparities in aggressive prostate cancer
Wiese D, DuBois T, Sorice K, Fang C, Ragin C, Daly M, Reese A, Henry K, Lynch S. An exploratory analysis of the impact of area-level exposome on geographic disparities in aggressive prostate cancer. Scientific Reports 2024, 14: 16900. PMID: 39075110, PMCID: PMC11286755, DOI: 10.1038/s41598-024-63726-0.Peer-Reviewed Original ResearchConceptsSocial determinants of health domainsElevated oddsTract-level povertyAggressive prostate cancer casesExposome researchDesign targeted interventionsAssociated with raceAggressive prostate cancerSocial determinantsCancer burdenHealth domainsGeographic disparitiesLocal cancer burdenHealth insuranceLogistic regressionExposome factorsAssociation studiesRisk factorsOddsResidential locationExposomeGeographical areasExploratory analysisProstate cancerHealthEffect of neighborhood and individual-level socioeconomic factors on breast cancer screening adherence in a multi-ethnic study
Kasper G, Momen M, Sorice K, Mayhand K, Handorf E, Gonzalez E, Devlin A, Brownstein K, Esnaola N, Fisher S, Lynch S. Effect of neighborhood and individual-level socioeconomic factors on breast cancer screening adherence in a multi-ethnic study. BMC Public Health 2024, 24: 63. PMID: 38166942, PMCID: PMC10763410, DOI: 10.1186/s12889-023-17252-9.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCross-Sectional StudiesEarly Detection of CancerFemaleHumansSocial ClassSocioeconomic FactorsConceptsLow breast cancerBreast cancerRace/ethnicityOdds ratioAnnual breast cancer screeningMultivariable mixed-effects logistic regression modelSocioeconomic statusBreast cancer mortalityIndividual-level socioeconomic factorsCross-sectional studyMixed effects logistic regression modelsMulti-Ethnic StudyBreast cancer screeningLogistic regression modelsMulti-ethnic populationResultsNineteen percentScreening interventionsCancer mortalityCancer screeningInsurance statusCancerSES indicatorsAdherenceConfidence intervalsSignificant predictors