2016
Military Generation and Its Relationship to Mortality in Women Veterans in the Women’s Health Initiative
Washington DL, Bird CE, LaMonte MJ, Goldstein KM, Rillamas-Sun E, Stefanick ML, Woods NF, Bastian LA, Gass M, Weitlauf JC. Military Generation and Its Relationship to Mortality in Women Veterans in the Women’s Health Initiative. The Gerontologist 2016, 56: s126-s137. PMID: 26768386, PMCID: PMC5881617, DOI: 10.1093/geront/gnv669.Peer-Reviewed Original ResearchConceptsWomen's Health InitiativeCause mortality ratesHazard rate ratiosMortality rateHealth initiativesStudy armsTrauma-related mortalityNon-veteran womenHealthy soldier effectCause-specific mortalityExcess mortality ratesProportional hazards modelHealth risk behaviorsVeteran statusMedical morbidityHigher cancerRisk factorsWHI participantsAdditional adjustmentMortality riskOlder womenHazards modelWomen veteransHealth behaviorsBirth cohortTrajectories in Physical Activity and Sedentary Time Among Women Veterans in the Women’s Health Initiative
Washington DL, Gray K, Hoerster KD, Katon JG, Cochrane BB, LaMonte MJ, Weitlauf JC, Groessl E, Bastian L, Vitolins MZ, Tinker L. Trajectories in Physical Activity and Sedentary Time Among Women Veterans in the Women’s Health Initiative. The Gerontologist 2016, 56: s27-s39. PMID: 26768390, PMCID: PMC5881621, DOI: 10.1093/geront/gnv676.Peer-Reviewed Original ResearchConceptsWomen's Health InitiativeRecreational physical activitySedentary timePhysical activityWomen veteransHealth initiativesHealth outcomesHigh baseline physical activitySelf-reported sedentary timeBaseline physical activityLow physical activityHigh sedentary timeTrajectories of PALongitudinal trajectoriesHours/weekPremature mortality riskWomen's health outcomesHours/dayPostmenopausal womenLifestyle behaviorsWHI participantsMortality riskSelf-reported participationHealth behaviorsWorse health
2013
The Cardiovascular Intervention Improvement Telemedicine Study (CITIES): Rationale for a Tailored Behavioral and Educational Pharmacist-Administered Intervention for Achieving Cardiovascular Disease Risk Reduction
Zullig LL, Melnyk SD, Stechuchak KM, McCant F, Danus S, Oddone E, Bastian L, Olsen M, Edelman D, Rakley S, Morey M, Bosworth HB. The Cardiovascular Intervention Improvement Telemedicine Study (CITIES): Rationale for a Tailored Behavioral and Educational Pharmacist-Administered Intervention for Achieving Cardiovascular Disease Risk Reduction. Telemedicine Journal And E-Health 2013, 20: 135-143. PMID: 24303930, PMCID: PMC3911768, DOI: 10.1089/tmj.2013.0145.Peer-Reviewed Original ResearchConceptsTelephone-based interventionCVD risk factorsRisk factorsDurham Veterans Affairs Medical CenterCardiovascular disease risk reductionOutpatient primary care clinicsVeterans Affairs Medical CenterCVD risk reductionCardiovascular disease riskPrimary care clinicsDisease risk reductionTarget sample sizeRisk reductionMultiple comorbiditiesUsual careCare clinicsMedication adherencePrimary careHome-based monitoringMedical CenterStudy interventionTelemedicine studiesHealth behaviorsDisease riskHypertensionTelemedicine cardiovascular risk reduction in Veterans
Melnyk SD, Zullig LL, McCant F, Danus S, Oddone E, Bastian L, Olsen M, Stechuchak KM, Edelman D, Rakley S, Morey M, Bosworth HB. Telemedicine cardiovascular risk reduction in Veterans. American Heart Journal 2013, 165: 501-508. PMID: 23537965, PMCID: PMC3766959, DOI: 10.1016/j.ahj.2012.08.005.Peer-Reviewed Original ResearchConceptsCardiovascular risk reductionOptimal cardiovascular risk reductionLow density liporoteinRisk factor controlCardiovascular disease eventsCVD risk profileClinical pharmacy specialistsRisk reductionCVD controlCVD riskMedication interventionsNational prevalenceDisease eventsHealth behaviorsPharmacy specialistsDismal ratesRisk profileLongitudinal changesBehavioral interventionsHome monitoringHypertensionInterventionPatientsVeteransFactor control
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
Initiation and Discontinuation of Hormone Therapy for Menopausal Symptoms: Results From a Community Sample
Bosworth HB, Bastian LA, Grambow SC, McBride CM, Skinner CS, Fish L, Rimer BK, Siegler IC. Initiation and Discontinuation of Hormone Therapy for Menopausal Symptoms: Results From a Community Sample. Journal Of Behavioral Medicine 2005, 28: 105-114. PMID: 15887880, DOI: 10.1007/s10865-005-2721-2.Peer-Reviewed Original ResearchConceptsHormonal therapyGynecological surgeryMenopausal symptomsClinical trial developmentTelephone three timesMental health symptomsImportance of physiciansCommunity sampleLogistic regression modelsHT discontinuationHT initiationAttitudes/knowledgePostmenopausal womenHormone therapyVasomotor symptomsHT useClinical reasonsMood symptomsHealth behaviorsTrial developmentHealth symptomsSociodemographic characteristicsSymptomsDiscontinuationWomenNumber of children and the risk of obesity in older women
Bastian LA, West NA, Corcoran C, Munger RG, From the Cache County Study on Memory H. Number of children and the risk of obesity in older women. Preventive Medicine 2005, 40: 99-104. PMID: 15530586, DOI: 10.1016/j.ypmed.2004.05.007.Peer-Reviewed Original ResearchConceptsRisk of obesityOlder womenNumber of childrenLive birthsConfounding factorsAdditional live birthSocioeconomic statusPopulation-based cohortRates of obesityDose-response relationshipTelephone-based interviewsHigh rateHormone therapyHysterectomy statusNulliparous womenOral contraceptivesObesity riskReproductive factorsPhysical activityObesityHealth behaviorsAge 18CohortWomenMarital status
2001
The Relationship between Hostility and Behavioral Risk Factors for Poor Health in Women Veterans
Calhoun P, Bosworth H, Siegler I, Bastian L. The Relationship between Hostility and Behavioral Risk Factors for Poor Health in Women Veterans. Preventive Medicine 2001, 33: 552-557. PMID: 11716650, DOI: 10.1006/pmed.2001.0921.Peer-Reviewed Original ResearchConceptsHealth risk behaviorsBody mass indexRisk behaviorsWomen veteransTobacco smokingCaffeine useBehavioral risk factorsVA health careLogistic regression analysisSample of womenCook-Medley Hostility ScaleMass indexRisk factorsPhysical activityAge 35Health behaviorsPhysical exerciseSociodemographic factorsPoor healthAlcohol useDesign of interventionsHealth careSmokingRegression analysisRisk reductionCigarette smoking in veteran women: the impact of job strain
Bastian L, Owens S, Kim H, Barnett L, Siegler I. Cigarette smoking in veteran women: the impact of job strain. Women's Health Issues 2001, 11: 103-109. PMID: 11275513, DOI: 10.1016/s1049-3867(00)00077-3.Peer-Reviewed Original Research