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
Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes
Ash G, Nally L, Stults-Kolehmainen M, De Los Santos M, Jeon S, Brandt C, Gulanski B, Spanakis E, Baker J, Weinzimer S, Fucito L. Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes. Clinical Journal Of Sport Medicine 2023, 33: 512-520. PMID: 36715983, PMCID: PMC10898917, DOI: 10.1097/jsm.0000000000001078.Peer-Reviewed Original ResearchConceptsContinuous glucose monitoringExercise supportHealth informationDigital health informationBody mass indexType 1 diabetesCommunity-based sampleSevere hypoglycemiaMass indexPsychosocial assessmentCGM useHigh satisfaction ratingsPhysician oversightType 1Future interventionsGlucose monitoringMedical readinessMolecular biomarkersBaseline observationsInterventionSatisfaction ratingsAdultsExerciseBehavioral skillsSingle group
2022
Sensitivity, specificity, and tolerability of the BACTrack Skyn compared to other alcohol monitoring approaches among young adults in a field‐based setting
Ash GI, Gueorguieva R, Barnett NP, Wang W, Robledo DS, DeMartini KS, Pittman B, Redeker NS, O’Malley S, Fucito LM. Sensitivity, specificity, and tolerability of the BACTrack Skyn compared to other alcohol monitoring approaches among young adults in a field‐based setting. Alcohol Clinical And Experimental Research 2022, 46: 783-796. PMID: 35567595, PMCID: PMC9179100, DOI: 10.1111/acer.14804.Peer-Reviewed Original Research
2021
Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders
Ash GI, Stults-Kolehmainen M, Busa MA, Gaffey AE, Angeloudis K, Muniz-Pardos B, Gregory R, Huggins RA, Redeker NS, Weinzimer SA, Grieco LA, Lyden K, Megally E, Vogiatzis I, Scher L, Zhu X, Baker JS, Brandt C, Businelle MS, Fucito LM, Griggs S, Jarrin R, Mortazavi BJ, Prioleau T, Roberts W, Spanakis EK, Nally LM, Debruyne A, Bachl N, Pigozzi F, Halabchi F, Ramagole DA, Janse van Rensburg DC, Wolfarth B, Fossati C, Rozenstoka S, Tanisawa K, Börjesson M, Casajus JA, Gonzalez-Aguero A, Zelenkova I, Swart J, Gursoy G, Meyerson W, Liu J, Greenbaum D, Pitsiladis YP, Gerstein MB. Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders. Sports Medicine 2021, 51: 2237-2250. PMID: 34468950, PMCID: PMC8666971, DOI: 10.1007/s40279-021-01543-5.Peer-Reviewed Original ResearchBayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions
Liu J, Spakowicz DJ, Ash GI, Hoyd R, Ahluwalia R, Zhang A, Lou S, Lee D, Zhang J, Presley C, Greene A, Stults-Kolehmainen M, Nally LM, Baker JS, Fucito LM, Weinzimer SA, Papachristos AV, Gerstein M. Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions. PLOS Computational Biology 2021, 17: e1009303. PMID: 34424894, PMCID: PMC8412351, DOI: 10.1371/journal.pcbi.1009303.Peer-Reviewed Original ResearchEvaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study
Ash GI, Griggs S, Nally LM, Stults-Kolehmainen M, Jeon S, Brandt C, Gulanski BI, Spanakis EK, Baker JS, Whittemore R, Weinzimer SA, Fucito LM. Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study. JMIR Diabetes 2021, 6: e28309. PMID: 34047700, PMCID: PMC8299346, DOI: 10.2196/28309.Peer-Reviewed Original ResearchType 1 diabetesEligible volunteersExercise interventionClinical trialsIncremental costProspective observational studyGreater New HavenCharacteristics of enrolleesHigh-risk participantsOlder patientsOverall cohortPatients 18Clinical visitsUncommon conditionAdults 18Observational studySnowball samplingActive adultsT1DEligibility screeningPrior trialsLower click ratesPatientsActive individualsEligibility ratesA Multimodal Mobile Sleep Intervention for Young Adults Engaged in Risky Drinking: Protocol for a Randomized Controlled Trial (Preprint)
Fucito LM, Ash GI, DeMartini KS, Pittman B, Barnett NP, Li CR, Redeker NS, O'Malley SS. A Multimodal Mobile Sleep Intervention for Young Adults Engaged in Risky Drinking: Protocol for a Randomized Controlled Trial (Preprint). JMIR Research Protocols 2021, 10: e26557. PMID: 33635276, PMCID: PMC7954653, DOI: 10.2196/26557.Peer-Reviewed Original ResearchSleep hygiene adviceINTERNATIONAL REGISTERED REPORT IDENTIFIERHeavy-drinking young adultsHygiene adviceSleep interventionsYoung adultsAlcohol diaryAlcohol use disorder riskRisky alcohol consumptionAlcohol use disorderLow-cost interventionAlcohol behavior changeControlled TrialsWeb-based sessionsBrief adviceHealth coachesRisk factorsPoor sleepRecent heavy drinkingSleep characteristicsUse disordersAlcohol consumptionAlcohol-related consequencesPriority populationsSecondary aim
2020
Using Web-Based Social Media to Recruit Heavy-Drinking Young Adults for Sleep Intervention: Prospective Observational Study
Ash GI, Robledo DS, Ishii M, Pittman B, DeMartini KS, O'Malley SS, Redeker NS, Fucito LM. Using Web-Based Social Media to Recruit Heavy-Drinking Young Adults for Sleep Intervention: Prospective Observational Study. Journal Of Medical Internet Research 2020, 22: e17449. PMID: 32780027, PMCID: PMC7448185, DOI: 10.2196/17449.Peer-Reviewed Original ResearchConceptsAlcohol use disorderSleep interventionsSleep concernsYoung adultsAlcohol useWeb-based surveyBrief web-based surveyProspective observational studyHeavy-drinking young adultsYears of ageHigh response rateAlcohol prevention strategiesHeavy alcohol useAlcohol prevention programsHeavy drinking young adultsScreening eligibilityRisk factorsStudy enrolleesObservational studySleep programSleep problemsAlcohol screenerUse disordersPrevention strategiesResponse rate
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