2021
Depression, Religiosity, and Telomere Length in the Study on Stress, Spirituality, and Health (SSSH)
Isehunwa OO, Warner ET, Spiegelman D, Zhang Y, Palmer JR, Kanaya AM, Cole SA, Tworoger SS, Shields LO, Gu Y, Kent BV, De Vivo I, Shields AE. Depression, Religiosity, and Telomere Length in the Study on Stress, Spirituality, and Health (SSSH). International Journal Of Mental Health And Addiction 2021, 20: 1465-1484. PMID: 35747346, PMCID: PMC9211376, DOI: 10.1007/s11469-020-00455-1.Peer-Reviewed Original ResearchRelative leukocyte telomere lengthCohort-specific analysesTelomere lengthLeukocyte telomere lengthEthnic populationsQuantitative polymerase chain reactionProspective studyPolymerase chain reactionEffect modificationRace/ethnic populationsProspective associationsDepressionChain reactionAssociationEuropean ancestry populationsAncestry populationsHealthModifying influenceFurther researchPopulationResources of resilienceMixed resultsCohort
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
2012
Cohort studies around the world: Methodologies, research questions and integration to address the emerging global epidemic of chronic diseases
Nair H, Shu XO, Volmink J, Romieu I, Spiegelman D. Cohort studies around the world: Methodologies, research questions and integration to address the emerging global epidemic of chronic diseases. Public Health 2012, 126: 202-205. PMID: 22325615, DOI: 10.1016/j.puhe.2011.12.013.Peer-Reviewed Original ResearchConceptsChronic diseasesCohort studyChronic non-communicable diseasesNon-communicable chronic diseasesDual disease burdenCommunicable infectious diseasesNon-communicable diseasesMultiple cohort studiesResource-constrained settingsDisease burdenRisk factorsLifestyle changesGlobal epidemicInfectious diseasesDiseaseDisease distributionEpidemicBurdenPopulationSettingDramatic increase
2007
Point and interval estimates of partial population attributable risks in cohort studies: examples and software
Spiegelman D, Hertzmark E, Wand HC. Point and interval estimates of partial population attributable risks in cohort studies: examples and software. Cancer Causes & Control 2007, 18: 571-579. PMID: 17387622, DOI: 10.1007/s10552-006-0090-y.Peer-Reviewed Original ResearchConceptsCohort studyRisk factorsPartial population attributable riskNon-modifiable risk factorsSpecific exposuresPopulation attributable risk percentAttributable risk percentPopulation attributable riskBladder cancer incidenceGroups of exposureTarget populationProportion of diseaseAttributable riskDisease burdenModifiable determinantsCancer incidencePublic health researchDiseaseHealth researchExposurePopulationIncidenceProportion