2018
Multiple domains of social support are associated with diabetes self-management among Veterans
Gray KE, Hoerster KD, Reiber GE, Bastian LA, Nelson KM. Multiple domains of social support are associated with diabetes self-management among Veterans. Chronic Illness 2018, 15: 264-275. PMID: 29635933, DOI: 10.1177/1742395318763489.Peer-Reviewed Original ResearchMeSH KeywordsAgedDiabetes MellitusDietFemaleHealth BehaviorHumansMaleMiddle AgedSelf CareSelf-ManagementSocial SupportVeteransConceptsDiabetes-specific social supportDiabetes self-management behaviorsSelf-management behaviorsPhysical activityGeneral social supportSocial supportMin/weekVA Puget SoundSelf-management routinesSupport scoresCross-sectional surveyBlood glucose monitoringPoisson regression modelsFamily/friendsSmoking statusDiabetes patientsLifestyle behaviorsHealthy eatingDisease controlGlucose monitoringParticipation domainsGood adherenceDiabetesPatientsVeterans
2017
Impact of Gender on Satisfaction and Confidence in Cholesterol Control Among Veterans at Risk for Cardiovascular Disease
Goldstein KM, Stechuchak KM, Zullig LL, Oddone EZ, Olsen MK, McCant FA, Bastian LA, Batch BC, Bosworth HB. Impact of Gender on Satisfaction and Confidence in Cholesterol Control Among Veterans at Risk for Cardiovascular Disease. Journal Of Women's Health 2017, 26: 806-814. PMID: 28192012, PMCID: PMC5507731, DOI: 10.1089/jwh.2016.5739.Peer-Reviewed Original ResearchMeSH KeywordsAgedBlood PressureCardiovascular DiseasesCholesterol, LDLCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHealth BehaviorHealth Status DisparitiesHealthcare DisparitiesHumansHyperlipidemiasHypolipidemic AgentsMaleMiddle AgedNorth CarolinaPersonal SatisfactionRisk FactorsSex FactorsSocioeconomic FactorsUnited StatesUnited States Department of Veterans AffairsVeteransConceptsLipid controlCholesterol levelsCardiovascular diseaseLow-density lipoprotein valuesPoor lipid controlHigher health literacyPatient-centered factorsBaseline survey responsesSelf-rated satisfactionSocial supportCholesterol controlLipoprotein valuesLipid levelsHigh riskAdjusted modelHealth literacyTelemedicine studiesTracking medicationsGender-based disparitiesMedication trackingSociodemographic characteristicsMedicationsWomenMean scoreSignificant differences
2016
Trajectories 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 controlDo High-Risk Preschoolers or Overweight Mothers Meet AAP-Recommended Behavioral Goals for Reducing Obesity?
Turer CB, Stroo M, Brouwer RJ, Krause KM, Lovelady CA, Bastian LA, Peterson B, Østbye T. Do High-Risk Preschoolers or Overweight Mothers Meet AAP-Recommended Behavioral Goals for Reducing Obesity? Academic Pediatrics 2013, 13: 243-250. PMID: 23491583, PMCID: PMC3658466, DOI: 10.1016/j.acap.2013.01.003.Peer-Reviewed Original ResearchConceptsMaternal obesityOverweight mothersBehavior goalsGreater oddsOverweight/obesityVegetables/dayMinutes/dayVigorous physical activityHigh-risk preschoolersProportion of preschoolersHours/dayWeight control studiesMaternal weightPhysical activityObesityFeeding practicesAmerican AcademySecondary analysisBehavioral recommendationsBaseline dataMothersOverweightOddsFamily mealsDays
2011
Kids and Adults Now! Defeat Obesity (KAN-DO): Rationale, design and baseline characteristics
Østbye T, Zucker NL, Krause KM, Lovelady CA, Evenson KR, Peterson BL, Bastian LA, Swamy GK, West DG, Brouwer RJ. Kids and Adults Now! Defeat Obesity (KAN-DO): Rationale, design and baseline characteristics. Contemporary Clinical Trials 2011, 32: 461-469. PMID: 21300177, PMCID: PMC3087307, DOI: 10.1016/j.cct.2011.01.017.Peer-Reviewed Original ResearchConceptsHealthy lifestyle changesPublic health priorityBehavioral intervention trialSingle group sessionHealth behavior changeObese mothersBaseline characteristicsHealthy weightOverweight childrenWeight maintenanceIntervention trialsChildhood obesityCounseling callsChild weightHealth priorityLifestyle changesFeeding practicesHealthy behaviorsActivity opportunitiesObesityGroup sessionsWeight reductionBehavioral changesTeachable momentChildren
2010
Multiparity is Associated With High Motivation to Change Diet Among Overweight and Obese Postpartum Women
Bastian LA, Pathiraja VC, Krause K, Brouwer R, Swamy GK, Lovelady CA, Østbye T. Multiparity is Associated With High Motivation to Change Diet Among Overweight and Obese Postpartum Women. Women's Health Issues 2010, 20: 133-138. PMID: 20149971, PMCID: PMC2849268, DOI: 10.1016/j.whi.2009.11.005.Peer-Reviewed Original ResearchMeSH KeywordsAdultBody Mass IndexDietDietary CarbohydratesDietary FatsDietary ProteinsFemaleFollow-Up StudiesHealth BehaviorHumansInfant, NewbornMaternal Nutritional Physiological PhenomenaMothersMotivationObesityPostpartum PeriodPregnancyRandomized Controlled Trials as TopicRegression AnalysisSurveys and QuestionnairesUnited StatesWomen's HealthYoung AdultConceptsObese postpartum womenPostpartum womenPrimigravid womenFirst pregnancyEffect of parityBody mass index categoriesActive Mothers PostpartumCohort of overweightPostpartum weight reductionWoman's first pregnancyThird of participantsMothers postpartumPotential confoundersThird pregnancyMultivariable modelIndex categoriesLogistic regressionPregnancyWeight gainWomenMore childrenDietOverweightObesityWeight reduction
2009
Responses to Online GSTM1 Genetic Test Results among Smokers Related to Patients with Lung Cancer: A Pilot Study
Sanderson SC, O'Neill SC, White DB, Bepler G, Bastian L, Lipkus IM, McBride CM. Responses to Online GSTM1 Genetic Test Results among Smokers Related to Patients with Lung Cancer: A Pilot Study. Cancer Epidemiology Biomarkers & Prevention 2009, 18: 1953-1961. PMID: 19567511, PMCID: PMC3417294, DOI: 10.1158/1055-9965.epi-08-0620.Peer-Reviewed Original ResearchConceptsSmoking cessation servicesLung cancer riskGenetic test resultsCessation servicesCancer riskLung cancerEffective smoking cessation servicesLower lung cancer riskPersonal genetic test resultsSignificant between-group differencesBetween-group differencesGenetic risk informationClinic settingSmokersSmokers' responsesCeiling effectsPilot studyGSTM1PatientsRiskCancerCessation-related cognitionsReal-time assessmentRisk informationFurther researchAn internet-based weight loss intervention initiated by a newspaper.
Carter-Edwards L, Bastian LA, Schultz M, Amamoo MA, Østbye T. An internet-based weight loss intervention initiated by a newspaper. Preventing Chronic Disease 2009, 6: a101. PMID: 19527573, PMCID: PMC2722395.Peer-Reviewed Original ResearchMeSH KeywordsHealth BehaviorHealth PromotionHumansInternetMass MediaNorth CarolinaObesitySocial MarketingWeight LossConceptsInternet-based weight loss interventionCommunity-based weight loss programWeight lossWeight loss interventionWeight loss programWeight loss challengeSelf-reported weightType of interventionLoss interventionLoss programNorth Carolina residentsPhysical activityHealth messagesHealth awarenessFuture interventionsLong-term successMean weightHealth informationEducational seminarsLast weekInterventionTwo-thirdsWeeksParticipantsWeekly articles
2008
Active Mothers Postpartum (AMP): Rationale, Design, and Baseline Characteristics
Østbye T, Krause KM, Brouwer RJ, Lovelady CA, Morey MC, Bastian LA, Peterson BL, Swamy GK, Chowdhary J, McBride CM. Active Mothers Postpartum (AMP): Rationale, Design, and Baseline Characteristics. Journal Of Women's Health 2008, 17: 1567-1575. PMID: 19049350, PMCID: PMC2945831, DOI: 10.1089/jwh.2007.0674.Peer-Reviewed Original ResearchConceptsActive Mothers PostpartumBody mass indexBaseline characteristicsMothers postpartumWeight lossBaseline participant characteristicsPostpartum weight lossTelephone counseling sessionsTeachable momentStage of readinessPregnancy overweightStudy armsIntervention armMass indexYear postpartumIntervention trialsPostpartum womenBehaviour change interventionsPostpartum periodPrimary objectiveSecondary aimParticipant characteristicsPostpartumExercise behaviorWomen
2004
Number 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
Are women worrying about heart disease?
Biswas MS, Calhoun PS, Bosworth HB, Bastian LA. Are women worrying about heart disease? Women's Health Issues 2002, 12: 204-211. PMID: 12093584, DOI: 10.1016/s1049-3867(02)00136-6.Peer-Reviewed Original Research
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 reductionDepressive Symptoms, Menopausal Status, and Climacteric Symptoms in Women at Midlife
Bosworth H, Bastian L, Kuchibhatla M, Steffens D, McBride C, Skinner C, Rimer B, Siegler I. Depressive Symptoms, Menopausal Status, and Climacteric Symptoms in Women at Midlife. Psychosomatic Medicine 2001, 63: 603-608. PMID: 11485114, DOI: 10.1097/00006842-200107000-00013.Peer-Reviewed Original ResearchConceptsMenopausal statusClimacteric symptomsWomen age 45Depressive symptomsAge 45Estrogen/progesterone combinationHistory of oophorectomyHormone replacement therapyLogistic regression analysisRates of depressionCross-sectional surveyHigh rateProgesterone combinationPhysical inactivityReplacement therapyMenopausal stageMenopauseSymptomsWomenCommunity sampleDepressionStatusInadequate incomeYearsCES
1998
Predictors of Mammography Use Among Women Veterans
Hynes D, Bastian L, Rimer B, Sloane R, Feussner J. Predictors of Mammography Use Among Women Veterans. Journal Of Women's Health 1998, 7: 239-247. PMID: 9555689, DOI: 10.1089/jwh.1998.7.239.Peer-Reviewed Original ResearchConceptsOlder women veteransVA Medical CenterWomen veteransMammography useMedical CenterBetter provider-patient communicationHealth care useHealth careProvider-patient communicationVA health careHealth care professionalsWarrants further researchCare useVA usersCare professionalsResponse rateMilitary dischargeNational telephone surveyAge groupsStratification schemesLogistic regressionTelephone surveyVeteransMammogramsCare