2020
Daily variations in sleep and glucose in adolescents with type 1 diabetes
Griggs S, Redeker NS, Jeon S, Grey M. Daily variations in sleep and glucose in adolescents with type 1 diabetes. Pediatric Diabetes 2020, 21: 1493-1501. PMID: 32902901, PMCID: PMC7642150, DOI: 10.1111/pedi.13117.Peer-Reviewed Original ResearchConceptsGlucose variability indicesType 1 diabetesGlucose variabilityContinuous glucose monitorSleep disruptionPoor sleepSleep characteristicsHabitual short sleep durationEarlier wake timeShort sleep durationSleep fragmentation indexTotal sleep timeMore sleep disruptionNon-dominant wristVariability indexDay-level associationsGlycemic controlWrist actigraphBlood glucose risk indexSleep efficiencySleep durationSleep timeGlucose patternsGood sleepSleep habitsSleep, self‐management, neurocognitive function, and glycemia in emerging adults with Type 1 diabetes mellitus: A research protocol
Griggs S, Redeker NS, Crawford SL, Grey M. Sleep, self‐management, neurocognitive function, and glycemia in emerging adults with Type 1 diabetes mellitus: A research protocol. Research In Nursing & Health 2020, 43: 317-328. PMID: 32639059, PMCID: PMC7382362, DOI: 10.1002/nur.22051.Peer-Reviewed Original ResearchConceptsGlycemic controlSleep deficiencyNeurocognitive functionSleep variabilityType 1 diabetes mellitusHabitual short sleep durationPoor glycemic controlPittsburgh Sleep DiaryShort sleep durationType 1 diabetesSelf-management interventionsTotal sleep timeQuality of lifeResearch Electronic Data CaptureAdults ages 18Continuous glucose monitoringWrist-worn actigraphyDiabetes mellitusGlucose variabilitySuccessful diabetesSleep durationObjective sleepSleep timeSleep extensionSleep diary1005 Characterizing Sleep and Glycemia in Emerging Adults with Type 1 Diabetes
Griggs S, Redeker N, Grey M. 1005 Characterizing Sleep and Glycemia in Emerging Adults with Type 1 Diabetes. Sleep 2020, 43: a382-a382. DOI: 10.1093/sleep/zsaa056.1001.Peer-Reviewed Original ResearchTotal sleep timeSleep fragmentation indexSleep onset latencyContinuous glucose monitorGlycemic controlSleep efficiencySleep variabilityGlucose variabilityPsychomotor vigilance testSevere sleepinessMean total sleep timeMore diabetes distressPoor glycemic controlHigh-risk populationPittsburgh Sleep DiaryType 1 diabetesPotential therapeutic targetResearch Electronic Data CaptureGlucose monitorHours/daySigma Theta Tau InternationalDiabetes distressDiabetes outcomesWrist actigraphGlucose levels0927 Variations in Sleep and Glucose in Adolescents with Type 1 Diabetes
Griggs S, Redeker N, Jeon S, Grey M. 0927 Variations in Sleep and Glucose in Adolescents with Type 1 Diabetes. Sleep 2020, 43: a352-a353. DOI: 10.1093/sleep/zsaa056.923.Peer-Reviewed Original ResearchShort sleep durationBlood glucose indexContinuous glucose monitorGlucose variabilityGeneral linear mixed modelGlucose indexSleep durationBlinded continuous glucose monitorHabitual short sleep durationHigh blood glucose indexGreater WASOPoor glycemic controlLow blood glucose indexGlucose variability indicesType 1 diabetesAverage glucose levelsNon-dominant wristDay-level associationsGlycemic controlSevere hypoglycemiaMore awakeningsWrist actigraphPoor sleepGlucose levelsPerson associations
2019
Sleep characteristics in young adults with type 1 diabetes
Griggs S, Redeker NS, Grey M. Sleep characteristics in young adults with type 1 diabetes. Diabetes Research And Clinical Practice 2019, 150: 17-26. PMID: 30790611, PMCID: PMC6525057, DOI: 10.1016/j.diabres.2019.02.012.Peer-Reviewed Original ResearchConceptsShort sleep durationType 1 diabetesSleep qualityYoung adultsGlycemic controlSleep characteristicsSleep durationSleep deficiencyPoor glycemic controlPoor sleep qualitySubjective sleep qualityMixed Methods Appraisal ToolNegative health outcomesMethods Appraisal ToolTerms sleepPeer-reviewed journalsInclusion criteriaDiabetes managementHealth outcomesAwakening responseT1DSleepAppraisal toolDeep sleepKnafl's approach
2015
The Determining Risk of Vascular Events by Apnea Monitoring (DREAM) study: design, rationale, and methods
Koo BB, Won C, Selim BJ, Qin L, Jeon S, Redeker NS, Bravata DM, Strohl KP, Concato J, Zinchuk AV, Yaggi HK. The Determining Risk of Vascular Events by Apnea Monitoring (DREAM) study: design, rationale, and methods. Sleep And Breathing 2015, 20: 893-900. PMID: 26642771, DOI: 10.1007/s11325-015-1254-3.Peer-Reviewed Original ResearchConceptsCardiovascular outcomesVascular eventsSleep architecturePrognostic modelRetrospective observational cohort studyMain primary outcomeMiddle-aged veteransTransient ischemic attackAcute coronary syndromeObservational cohort studyResultsThe study populationCongestive heart failureSleep-disordered breathingVA Patient Treatment FileVital Status filesPatient Treatment FileComputerized patient record systemVeterans Affairs centersPost-traumatic stress disorderIschemic attackCoronary syndromeCohort studySecondary outcomesComposite endpointGlycemic control