Social Media Use, Sleep, and Suicidality in Adolescents
Social Media Use, Sleep, and Suicidality in Adolescents
批准号:
10815282
负责人:
NICOLE R NUGENT
金额:
$94.51万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-07 至 2028-07-31
关键词:
Accident and Emergency departmentAcuteAdolescenceAdolescentAffectAffectiveAgeBehaviorBiological MarkersCOVID-19CaringCognitiveDeteriorationDiagnosticDistressDiurnal RhythmEcological momentary assessmentEmotionalEpidemicFacebookFeeling suicidalHourImpairmentIndividualInstagramInterventionInterviewKnowledgeLinguisticsLinkMeasurementMeasuresMental HealthMethodsModelingNegative ValenceNeurobiologyParticipantPatient Self-ReportPatternPerceptionPhasePreventionProceduresProcessResearchRiskRisk FactorsRisk MarkerRoleSamplingSelf-Injurious BehaviorSleepSleep DeprivationSleep disturbancesStressStructureSuicideSymptomsTeenagersTestingTextText MessagingThinkingTimeadolescent suicideemotion dysregulationfitbitfollow-upin vivoinnovationpost-pandemicpre-pandemicprediction algorithmsleep healthsleep onsetsocialsocial mediasuicidalsuicidal adolescentsuicidal behaviorsuicide ratewearable device
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary
Adolescent suicide rates have increased over the past two decades, with the recent COVID-19 exacerbating
pre-pandemic risk factors including increases in online social messaging. We propose that online social
messaging for adolescents serves as a “social zeitgeber” (an environmental “time giver” that synchronizes
diurnal rhythm) and that late night online social messaging contributes to delays in sleep onset. Over time,
delays in sleep onset in combination with inability to phase shift the wake time for adolescents, contributes to
impairments in cognitive and emotional capacity for managing daily stress, resulting in overall vulnerability
throughout the day as well as a shift of vulnerability to the evenings when research has shown increases in
adolescent suicidal thoughts and behaviors. The present research longitudinal research will examine these
processes in the real world using a combination of (1) text extraction of online social messaging during the
intensive sampling period, (2) ecological momentary assessment (EMA), and (3) wearable technology in
combination with predictive algorithms. Findings will inform interventions that can range from ecological
momentary interventions to adaptations to interventions such as Interpersonal and Social Rhythm Therapy.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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依托单位:
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依托单位:
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依托单位:
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依托单位:
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依托单位:
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依托单位:
海外基金