2024
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults
Griffith F, Ash G, Augustine M, Latimer L, Verne N, Redeker N, O’Malley S, DeMartini K, Fucito L. Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults. Npj Digital Medicine 2024, 7: 342. PMID: 39613828, PMCID: PMC11606959, DOI: 10.1038/s41746-024-01321-3.Peer-Reviewed Original ResearchYoung adultsLanguage processingEvaluating young adultsControl participantsHeavy drinkingSleep factorsImprove sleepNatural language processingPersonalized feedbackParticipation motivationParticipantsSleepAdultsMixed-methods evaluationControl interventionsInterventionConvergent mixed methodsMotivationIncreased awarenessAlcohol
2023
Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study
Griggs S, Ash G, Pignatiello G, Papik A, Huynh J, Leuchtag M, Hickman R. Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study. JMIR Formative Research 2023, 7: e46415. PMID: 37606985, PMCID: PMC10481220, DOI: 10.2196/46415.Peer-Reviewed Original ResearchCross-sectional studyInternet-based recruitmentYoung adultsEligible participantsType 1Descriptive studyType 1 diabetesClinical research platformDiabetes NetworkRepresentative sampleStudy recruitmentRepresentative cohortParticipant characteristicsCost-effective strategyDiabetes researchEligibility ratesAdultsDiverse sampleQuarterly newsletterFacebook analyticsRecruitment strategiesParticipantsRecruitmentMultiple research strategiesT1D.
2021
Measurement of Motivation States for Physical Activity and Sedentary Behavior: Development and Validation of the CRAVE Scale
Stults-Kolehmainen MA, Blacutt M, Fogelman N, Gilson TA, Stanforth PR, Divin AL, Bartholomew JB, Filgueiras A, McKee PC, Ash GI, Ciccolo JT, Decker L, Williamson SL, Sinha R. Measurement of Motivation States for Physical Activity and Sedentary Behavior: Development and Validation of the CRAVE Scale. Frontiers In Psychology 2021, 12: 568286. PMID: 33841225, PMCID: PMC8027339, DOI: 10.3389/fpsyg.2021.568286.Peer-Reviewed Original ResearchPhysical activitySedentary behaviorMaximal treadmill testInterclass correlationCommunity-residing participantsTreadmill testRest relateGood psychometric propertiesPhysical fatigueExploratory structural equation modelTime pointsState-like qualitiesYear (based on the entire 80 yrs is a) two timesExercise behaviorShort AssessmentConstruct validityPsychometric propertiesFuture studiesParticipantsRestIndependent samplesActivityTiredness
2012
Psychometric evaluation of the Timeline Followback for Exercise among college students
Panza GA, Weinstock J, Ash GI, Pescatello LS. Psychometric evaluation of the Timeline Followback for Exercise among college students. Psychology Of Sport And Exercise 2012, 13: 779-788. PMID: 22844226, PMCID: PMC3403727, DOI: 10.1016/j.psychsport.2012.06.002.Peer-Reviewed Original ResearchCollege alumnus questionnaireType of exerciseTest-retest reliabilityExercise frequencyTimeline FollowbackPearson r correlationsValidity of frequencyExercise typeR correlationsAdequate test-retest reliabilityPhysical fitness batteryRetrospective questionnaireModerate kappaPsychometric evaluationFitness batteryTLFBKappa statisticsCriterion validityConvergent validityExercisePsychometric propertiesQuestionnaireSeparate studiesPredictive validityParticipants