2020
Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial
Damschroder LJ, Buis LR, McCant FA, Kim HM, Evans R, Oddone EZ, Bastian LA, Hooks G, Kadri R, White-Clark C, Richardson CR, Gierisch JM. Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial. Journal Of Medical Internet Research 2020, 22: e19216. PMID: 32687474, PMCID: PMC7435619, DOI: 10.2196/19216.Peer-Reviewed Original ResearchConceptsINTERNATIONAL REGISTERED REPORT IDENTIFIERPhysical activityUS veteransActive minutesPatient activationHealth coachingMonths postbaselineWrist-worn physical activity trackerLong-term adherenceFitbit Charge 2 deviceTelephone-based coachingBetween-group differencesMobile health interventionsPersonalized health coachingPhysical activity trackersAverage baseline weightActive military dutyStrong AppBaseline weightSecondary outcomesControlled TrialsPrimary outcomeHealthy weightActive duty serviceCoaching calls
2019
Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention
Buis LR, McCant FA, Gierisch JM, Bastian LA, Oddone EZ, Richardson CR, Kim HM, Evans R, Hooks G, Kadri R, White-Clark C, Damschroder LJ. Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention. JMIR Research Protocols 2019, 8: e12526. PMID: 30694208, PMCID: PMC6371069, DOI: 10.2196/12526.Peer-Reviewed Original ResearchINTERNATIONAL REGISTERED REPORT IDENTIFIERPhysical activityStrong AppHealth coachingWearable physical activity trackersMHealth lifestyle interventionSecondary outcome measuresFitbit Charge 2 deviceMobile health interventionsPersonalized health coachingAccountability Act authorizationPhysical activity trackersActive military dutyLifestyle interventionControlled TrialsPrimary outcomeEnrolled participantsHealthy weightPatient activationActive duty serviceHealth coachesUS veteransPhysical activity appsHuman coachingOutcome measures
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 ResearchConceptsDiabetes-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
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
Do 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
2012
Parent-focused change to prevent obesity in preschoolers: Results from the KAN-DO study
Østbye T, Krause KM, Stroo M, Lovelady CA, Evenson KR, Peterson BL, Bastian LA, Swamy GK, West DG, Brouwer RJ, Zucker NL. Parent-focused change to prevent obesity in preschoolers: Results from the KAN-DO study. Preventive Medicine 2012, 55: 188-195. PMID: 22705016, PMCID: PMC3439558, DOI: 10.1016/j.ypmed.2012.06.005.Peer-Reviewed Original ResearchConceptsPhysical activitySugary beveragesHealthy lifestyle behaviorsFruits/vegetablesPost-intervention resultsCapacity of mothersMaternal outcomesPrimary outcomeIntervention armLifestyle behaviorsControl armPreschoolers' dietsWeight statusFront of TVChildren's dietsFeeding practicesHealthy behaviorsMother-child dyadsInstrumental feedingGroup differencesDietEmotional feedingObesityMaternal emotion regulationMultiple comparisons
2009
Active Mothers Postpartum A Randomized Controlled Weight-Loss Intervention Trial
Østbye T, Krause KM, Lovelady CA, Morey MC, Bastian LA, Peterson BL, Swamy GK, Brouwer RJ, McBride CM. Active Mothers Postpartum A Randomized Controlled Weight-Loss Intervention Trial. American Journal Of Preventive Medicine 2009, 37: 173-180. PMID: 19595557, PMCID: PMC2774935, DOI: 10.1016/j.amepre.2009.05.016.Peer-Reviewed Original ResearchConceptsPhysical activityWeight lossWeight loss intervention trialActive Mothers PostpartumPostpartum weight lossTelephone counseling sessionsImprovement of dietSustainable lifestyle changesHome-based interventionObese womenMothers postpartumSignificant group differencesIntervention trialsObstetric clinicsPostpartum periodIntervention groupIntervention participantsPhysical activity classesLifestyle changesCommunity postersControl groupWeight retentionSecondary analysisIntervention RCTsPostpartumAn 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 ResearchConceptsInternet-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
2005
Number 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
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
2003
Interest in Healthy Diet and Physical Activity Interventions Peripartum among Female Partners of Active Duty Military
Østbye T, McBride C, Demark-Wahnefried W, Bastian L, Morey M, Krause KM, Brouwer R, Turner B. Interest in Healthy Diet and Physical Activity Interventions Peripartum among Female Partners of Active Duty Military. Military Medicine 2003, 168: 320-325. PMID: 12733678, DOI: 10.1093/milmed/168.4.320.Peer-Reviewed Original ResearchConceptsWeight loss interventionHealthy dietWeight lossSustained weight lossFemale partnersActive duty soldiersPregnancy overweightPeripartum womenActive duty militaryExercise interventionPostpartum periodPhysical activityGeneral populationDuty soldiersEffective interventionsClear healthExercise behaviorInterventionOverweightOne-thirdTeachable momentWomenDietPopulationObese
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 reduction