Interpersonal Stress, Social Media, and Risk for Adolescent Suicidal Thoughts and Behaviors
人际压力、社交媒体以及青少年自杀想法和行为的风险
基本信息
- 批准号:10815112
- 负责人:
- 金额:$ 95.72万
- 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
- 起止时间:2023-09-14 至 2028-07-31
- 项目状态:未结题
- 来源:
- 关键词:17 year oldAddressAdolescentAgeAmygdaloid structureAnteriorBiologicalBiological MarkersBiological ProcessBuffersCause of DeathCharacteristicsChronicClinicalClinical assessmentsCouplingDataDevelopmentEmergency department visitEnrollmentEvaluationEventExhibitsExposure toFeedbackFeeling suicidalFunctional Magnetic Resonance ImagingFutureGenerationsGoalsHairHateHospitalizationHydrocortisoneInsula of ReilInterruptionInterviewLeadLifeLinkMeasuresMediatingMental disordersMethodsNatural Language ProcessingPathway interactionsPatient Self-ReportPersonsPhysiologicalPhysiological ProcessesPredispositionProcessPublic HealthRecording of previous eventsReportingResearchRiskRisk BehaviorsRisk FactorsSamplingSeveritiesSocial EnvironmentSocial NetworkSocial ProcessesSocial supportSpeechStressSuicideSuicide attemptTestingTimeVictimizationViolenceYouthadolescent suicidedigitalexperiencefollow up assessmenthigh riskhypothalamic-pituitary-adrenal axisideationinnovationneuralneural correlateneural networknovelpeerpreventive interventionrecruitresponsesocialsocial capitalsocial mediasuicidalsuicidal adolescentsuicidal behaviorsuicidal risksuicide ratetemporal measurementtheories
项目摘要
Project Summary
Over the past 15 years, suicide rates among adolescents have increased ~60%. Recently, problematic
social media use has been linked to the emergence of suicidal thoughts and behaviors (STB), perhaps reflecting
greater interpersonal stress exposure. Understanding the type, timing, and severity of interpersonal stress
exposure is critical to understand STB risk, which requires carefully characterizing exposures present in their
digital lives through a deep interrogation of real-time interactions within social media. In line with the Stress
Generation Framework, adolescents experiencing psychiatric disorders possess characteristics that increase
the occurrence of interpersonal stress, which may include negative social media exposures. Accordingly, this
project will identify social neural susceptibilities that may increase the occurrence of negative social media
exposures and examine physiological processes that are impacted by negative social media exposures over
time. Our study will include adolescents ages 14-17 (N=300), which will be oversampled for youth at high risk
for suicide (n=200), defined as STB in the past 3 months and/or a past-year suicide attempt. Additionally, we will
recruit adolescents with psychiatric disorders but without a lifetime history of STB (n=100), providing an
opportunity to identify biological markers and temporally refined social media exposures that characterize risk
for STB as opposed to identifying risk factors that associate with psychiatric disorders more broadly.
Comprehensive clinical assessments will be completed at baseline, and additionally, we will probe past-year
user-generated content to assess dynamic changes in negative exposures to characterize core interpersonal
processes across social media platforms, including: (a) online victimization (e.g., harassment, hate speech), (b)
reduced social capital (e.g., reduced social network size), and (c) reduced social support (e.g., reduced
engagement, reciprocity of messaging). We also will collect baseline fMRI neural responses characterizing social
processes and assess chronic HPA axis activity. At the 2-, 4-, and 6-month follow-up assessments, interviews,
social media data, HPA axis activity, and self-reports will be re-assessed. The overarching goals is to examine
the relationship between biological processes and social media exposures, particularly with regards to
elucidating suicide risk. First, we will test whether social neural network alterations increase susceptibility to
negative social media exposures. Second, we will test whether negative social media exposures negatively
impact HPA axis activity. Last, we will test whether negative social media exposures, social neural alterations,
HPA axis activity, and their interactions lead to the emergence of suicide events (i.e., actual, interrupted, or
aborted attempts; active suicidal ideation with method, intent, or plan; emergency department visits or psychiatric
hospitalizations for STB). Through this comprehensive approach, we will address a critical public health initiative
by identifying those who are susceptible to negative social media exposures, and providing actionable markers
to reduce the needless loss of life among young people.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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RANDY PATRICK AUERBACH其他文献
RANDY PATRICK AUERBACH的其他文献
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{{ truncateString('RANDY PATRICK AUERBACH', 18)}}的其他基金
Targeting adolescent depression symptoms using network-based real-time fMRI neurofeedback and mindfulness meditation
使用基于网络的实时功能磁共振成像神经反馈和正念冥想针对青少年抑郁症状
- 批准号:
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- 资助金额:
$ 95.72万 - 项目类别:
Social Processing Deficits in Remitted Adolescent Depression
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10513829 - 财政年份:2019
- 资助金额:
$ 95.72万 - 项目类别:
Social Processing Deficits in Remitted Adolescent Depression
青少年抑郁症缓解后的社会处理缺陷
- 批准号:
10292961 - 财政年份:2019
- 资助金额:
$ 95.72万 - 项目类别:
Social Processing Deficits in Remitted Adolescent Depression
青少年抑郁症缓解后的社会处理缺陷
- 批准号:
10064641 - 财政年份:2019
- 资助金额:
$ 95.72万 - 项目类别:
Social Processing Deficits in Remitted Adolescent Depression
青少年抑郁症缓解后的社会处理缺陷
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9908456 - 财政年份:2019
- 资助金额:
$ 95.72万 - 项目类别:
Predicting Internet-Based Treatment Response for Major Depressive Disorder
预测重度抑郁症基于互联网的治疗反应
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9328159 - 财政年份:2016
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$ 95.72万 - 项目类别:
Predicting Internet-Based Treatment Response for Major Depressive Disorder
预测重度抑郁症基于互联网的治疗反应
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9624631 - 财政年份:2016
- 资助金额:
$ 95.72万 - 项目类别:
Predicting Internet-Based Treatment Response for Major Depressive Disorder
预测重度抑郁症基于互联网的治疗反应
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9314157 - 财政年份:2016
- 资助金额:
$ 95.72万 - 项目类别:
Examination of Reward Processing in the Treatment of Adolescent Major Depression
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Examination of Reward Processing in the Treatment of Adolescent Major Depression
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- 批准号:
8509096 - 财政年份:2013
- 资助金额:
$ 95.72万 - 项目类别:
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