2023
Association between cancer stigma and cervical cancer screening uptake among women of Dhulikhel and Banepa, Nepal
Paneru B, Karmacharya A, Bharati A, Makaju S, Adhikari B, Kafle D, Shakya S, Spiegelman D, Seth S, Stangl A, Shrestha A, Shrestha A. Association between cancer stigma and cervical cancer screening uptake among women of Dhulikhel and Banepa, Nepal. PLOS ONE 2023, 18: e0285771. PMID: 37200234, PMCID: PMC10194964, DOI: 10.1371/journal.pone.0285771.Peer-Reviewed Original ResearchConceptsCervical cancer screening uptakeCancer screening uptakeScreening uptakeMultivariable logistic regressionCancer Stigma ScaleCancer stigmaCervical cancerAge of menarcheFirst sexual intercourseLogistic regressionNepalese womenSexual intercourseReproductive health variablesCervical cancer screeningEffective screening programsSemi-urban areasCross-sectional studyPercent of womenMean total scoreFamily planning usersScreening servicesCancer screeningCommon cancerDisease burdenScreening program
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