2022
Effect modification by sex for associations of fine particulate matter (PM2.5) with cardiovascular mortality, hospitalization, and emergency room visits: systematic review and meta-analysis
Heo S, Son JY, Lim CC, Fong KC, Choi HM, Hernandez-Ramirez RU, Nyhan K, Dhillon PK, Kapoor S, Prabhakaran D, Spiegelman D, Bell ML. Effect modification by sex for associations of fine particulate matter (PM2.5) with cardiovascular mortality, hospitalization, and emergency room visits: systematic review and meta-analysis. Environmental Research Letters 2022, 17: 053006. PMID: 35662857, PMCID: PMC9162078, DOI: 10.1088/1748-9326/ac6cfb.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCardiovascular diseaseRisk ratioCVD mortalityEffect modificationObservational studyLong-term exposureSystematic reviewIschemic heart diseaseAcute myocardial infarctionQuality of evidenceMeeting inclusion criteriaDifferent risksLong-term PMShort-term PMEffects of PMCurrent observational studyRecommendations AssessmentCardiovascular mortalityCardiovascular riskCVD outcomesCVD riskHeart failureCardiac arrestMyocardial infarctionSubgroup analysis
2018
Phthalate Metabolites and Postmenopausal Breast Cancer Risk
Reeves K, Diaz S, Hankinson, Bigelow C, Zoeller, Manson J, Spiegelman D, Tinker L. Phthalate Metabolites and Postmenopausal Breast Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2018, 27: 355-355. DOI: 10.1158/1055-9965.epi-18-0052.Peer-Reviewed Original ResearchBreast cancer riskPhthalate metabolitesCancer riskWomen’s Health Initiative prospective cohortMultivariable conditional logistic regression analysisConditional logistic regression analysisHuman breast cancer riskIndividual phthalate metabolitesBody mass indexMono-2-ethylhexyl phthalateAnimal model evidenceCase-control studyHuman breast milkLogistic regression analysisRace/ethnicityProspective cohortSmoking statusEnrollment dateMass indexBreast milkProspective dataRisk ratioStudy groupMonoethyl phthalateResults Overall
2017
Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely.
Spiegelman D, Khudyakov P, Wang M, Vanderweele TJ. Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely. American Journal Of Public Health 2017, 108: 73-76. PMID: 29161073, PMCID: PMC5719681, DOI: 10.2105/ajph.2017.304105.Peer-Reviewed Original ResearchConceptsRisk factor distributionRisk ratioLife yearsEffect measuresDisability-adjusted life yearsIncremental cost-effectiveness ratioPopulation attributable riskQuality-adjusted life yearsCost-effectiveness ratioPublic health interventionsPublic health evaluationYears of lifeMeasure of effectRisk factorsRelative riskStudy populationRisk differenceHealth interventionsIntervention effectsAbsolute effect measuresHealth evaluationExternal generalizabilityRiskAbsolute measuresPopulation