2008
Predictors of Perceived Susceptibility of Breast Cancer and Changes Over Time: A Mixed Modeling Approach
McQueen A, Swank PR, Bastian LA, Vernon SW. Predictors of Perceived Susceptibility of Breast Cancer and Changes Over Time: A Mixed Modeling Approach. Health Psychology 2008, 27: 68-77. PMID: 18230016, PMCID: PMC2819176, DOI: 10.1037/0278-6133.27.1.68.Peer-Reviewed Original ResearchConceptsBreast cancerBreast symptomsCancer worryGreater cancer worryUS women veteransIntervention trialsMixed model analysisHealth behaviorsWomen veteransPercent riskHealth statusCancerPerceived susceptibilityGroup-level changesSingle-item measureAssess differencesPredictorsSymptomsEffect sizeIndividual variabilityDependent measuresGood targetConsistent predictorSusceptibilityModel effect sizes
2005
Patients’ interest in discussing cancer risk and risk management with primary care physicians
Buchanan AH, Skinner CS, Rawl SM, Moser BK, Champion VL, Scott LL, Strigo TS, Bastian L. Patients’ interest in discussing cancer risk and risk management with primary care physicians. Patient Education And Counseling 2005, 57: 77-87. PMID: 15797155, DOI: 10.1016/j.pec.2004.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCommunicationEducational StatusFemaleGenetic CounselingHealth Care SurveysHealth Knowledge, Attitudes, PracticeHealth Services Needs and DemandHumansLogistic ModelsMaleMass ScreeningMiddle AgedNeoplasmsNorth CarolinaPatient Acceptance of Health CarePatient Education as TopicPhysician-Patient RelationsPhysicians, FamilyPrimary PreventionRisk AssessmentRisk ManagementSurveys and QuestionnairesConceptsPrimary care physiciansCancer riskCancer genetic counselingCare physiciansCancer screening modalitiesGenetic counselingColon cancer screeningColon cancer riskEducation levelPhysician visitsCancer screeningPatient preferencesScreening modalityHigher education levelPatient interestTelephone surveyPhysiciansTamoxifenRiskMore participantsGreater proportionCounselingParticipantsHealthPatientsImpact of the Cancer Risk Intake System on Patient‐Clinician Discussions of Tamoxifen, Genetic Counseling, and Colonoscopy
Skinner CS, Rawl SM, Moser BK, Buchanan AH, Scott LL, Champion VL, Schildkraut JM, Parmigiani G, Clark S, Lobach DF, Bastian LA. Impact of the Cancer Risk Intake System on Patient‐Clinician Discussions of Tamoxifen, Genetic Counseling, and Colonoscopy. Journal Of General Internal Medicine 2005, 20: 360-365. PMID: 15857495, PMCID: PMC1490091, DOI: 10.1111/j.1525-1497.2005.40115.x.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlgorithmsAntineoplastic Agents, HormonalBreast NeoplasmsColonic NeoplasmsColonoscopyCommunicationCounselingFemaleGenetic CounselingHumansMaleMiddle AgedOdds RatioOvarian NeoplasmsPatient Acceptance of Health CarePatient Education as TopicPhysician-Patient RelationsPrimary Health CareRisk AssessmentTamoxifenConceptsPatient-clinician discussionsPrimary care settingCare settingsGenetic counselingBaseline telephone surveyObjective cancer riskMonths postvisitClinic visitsCancer riskTelephone surveyColonoscopySurvey 1TamoxifenPretest-posttest designGreater proportionComputerized programCounselingManagement recommendationsRisk management recommendationsParticipantsPostvisitFollowProportionSettingBaseline
2004
Does This Woman Have Osteoporosis?
Green AD, Colón-Emeric CS, Bastian L, Drake MT, Lyles KW. Does This Woman Have Osteoporosis? JAMA 2004, 292: 2890-2900. PMID: 15598921, DOI: 10.1001/jama.292.23.2890.Peer-Reviewed Original ResearchConceptsSpinal fracturesWall-occiput distanceBone densitometryUS Preventive Services Task Force guidelinesGreatest positive likelihood ratioOccult vertebral fracturesPhysical examination findingsTask Force guidelinesDiagnosis of osteopeniaPositive likelihood ratioEarly referralScreening recommendationsVertebral fracturesExamination findingsPhysical examinationPretest probabilityInclusion criteriaClinical challengeMEDLINE searchExamination maneuversPhysical signsFinger breadthsOsteoporosisEarly screeningYoung womenNumber of Children Associated with Obesity in Middle-Aged Women and Men: Results from the Health and Retirement Study
Weng HH, Bastian LA, Taylor DH, Moser BK, Ostbye T. Number of Children Associated with Obesity in Middle-Aged Women and Men: Results from the Health and Retirement Study. Journal Of Women's Health 2004, 13: 85-91. PMID: 15006281, DOI: 10.1089/154099904322836492.Peer-Reviewed Original ResearchConceptsMiddle-aged womenRisk of obesityNumber of childrenAdditional childrenPublic health interventionsLower household incomeRetirement StudyNonobese menNonobese womenObesity preventionChildren AssociatedTobacco usePhysical activityObesityHealth interventionsSimilar associationAlcohol useSame covariatesHousehold incomeWomenWork statusHealth insuranceMenObeseChildren
2002
A tailored intervention to aid decision-making about hormone replacement therapy.
McBride CM, Bastian LA, Halabi S, Fish L, Lipkus IM, Bosworth HB, Rimer BK, Siegler IC. A tailored intervention to aid decision-making about hormone replacement therapy. American Journal Of Public Health 2002, 92: 1112-4. PMID: 12084693, PMCID: PMC1447199, DOI: 10.2105/ajph.92.7.1112.Peer-Reviewed Original ResearchHormone replacement therapy and the risk of death from breast cancer: A systematic review
Nanda K, Bastian LA, Schulz K. Hormone replacement therapy and the risk of death from breast cancer: A systematic review. American Journal Of Obstetrics And Gynecology 2002, 186: 325-334. PMID: 11854659, DOI: 10.1067/mob.2002.121077.Peer-Reviewed Original ResearchConceptsHormone replacement therapy usersHormone replacement therapyRisk of deathReplacement therapyBreast cancerTherapy usersCombined hormone replacement therapyRetrievable risk estimatesBreast cancer deathsCase-control studyRecency of useAscertainment of exposurePotential confoundersCancer deathRelative riskInclusion criteriaObservational studyHistologic conditionControl groupSystematic reviewProlonged durationTherapyProlonged useCancerRisk estimates
2000
Mathematical Model for the Natural History of Human Papillomavirus Infection and Cervical Carcinogenesis
Myers E, McCrory D, Nanda K, Bastian L, Matchar D. Mathematical Model for the Natural History of Human Papillomavirus Infection and Cervical Carcinogenesis. American Journal Of Epidemiology 2000, 151: 1158-1171. PMID: 10905528, DOI: 10.1093/oxfordjournals.aje.a010166.Peer-Reviewed Original ResearchConceptsHuman papillomavirus infectionSquamous intraepithelial lesionsNatural historyHPV infectionPapillomavirus infectionIntraepithelial lesionsHigh-grade squamous intraepithelial lesionsCervical cancer stage ILifetime cervical cancer riskAge-specific incidence ratesCervical cancer carcinogenesisCervical cancer incidenceCancer stage ISecondary prevention strategiesCervical cancer riskHigh-grade lesionsAge 50 yearsAge-specific incidenceCancer mortality riskCohort of womenAge-specific distributionNatural history parametersCervical cancerPeak incidenceCervical cytology
1998
Promoting Informed Decision Making: Hormone Replacement Therapy
Bastian L, Couchman G, Rimer B, McBride C, Sutton L, Siegler I. Promoting Informed Decision Making: Hormone Replacement Therapy. Cancer Treatment And Research 1998, 97: 129-147. PMID: 9711414, DOI: 10.1007/978-0-585-30498-4_10.Peer-Reviewed Original ResearchMeSH KeywordsCounselingHormone Replacement TherapyHumansInformed ConsentMenopauseMeta-Analysis as TopicNeoplasmsRisk AssessmentSurvivorsConceptsHormonal replacement therapyReplacement therapyBreast cancerHormone replacement therapyRisk of cancerHRT useMenopausal symptomsMost gynecologistsHeart diseaseHigh riskNumber of womenAverage life expectancyCancerCancer issuesLife expectancyWomenMenopausePatientsTherapyRiskOsteoporosisGynecologistsSymptomsDiseasePhysicians