Uncovering proximal antecedents to Black male suicide using real-time approaches
使用实时方法揭示黑人男性自杀的近因
基本信息
- 批准号:10643956
- 负责人:
- 金额:$ 18.34万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-06-15 至 2027-05-31
- 项目状态:未结题
- 来源:
- 关键词:14 year old18 year oldAccelerometerAccident and Emergency departmentAcuteAddressAdolescentAdultAffectAgeAreaAutomobile DrivingBehavioralBlack raceCaregiversCause of DeathCellular PhoneDataData CollectionDeath RateDetectionDevelopmentDiscriminationDistalEarly DiagnosisEcological momentary assessmentEnrollmentEnvironmentEthnic PopulationFeelingFeeling hopelessFeeling suicidalFutureHealth Services ResearchHollyHospitalizationHospitalsInterviewInvestigationJointsK-Series Research Career ProgramsLightLocationMale AdolescentsMeasuresMental HealthMentored Research Scientist Development AwardMentorsMentorshipMethodological StudiesMethodologyNational Institute of Mental HealthParticipantPatternPhenotypePolicy MakerPopulationPositioning AttributePrevention ResearchProceduresProcessProtocols documentationPsychiatric DiagnosisPublic HealthRaceRecontactsResearchResearch DesignResearch PersonnelRiskRisk AssessmentRisk FactorsRoleSamplingShapesSignal TransductionSocial EnvironmentStressStructureSuicideSuicide attemptSuicide preventionSurveysTestingTimeTrainingTranslational ResearchVariantVulnerable PopulationsWorkYouthacceptability and feasibilityagedbiological adaptation to stressblack mencareercognitive processcognitive testingcookingdigitalexperiencehealth disparityhealth equity promotioninnovationinsightinterestlongitudinal analysislongitudinal designmHealthmemberpediatric emergencypreventprotocol developmentpsychological distresspublic health prioritiesracial populationracismrecruitretention raterisk predictionsensorskillssocial spacesociodemographicsstressorstudy populationsuicidal behaviorsuicidal morbiditysuicidal risksuicide ratetheories
项目摘要
PROJECT SUMMARY
The need for more robust evidence to predict risk and prevent suicide among Black male youth is critical in
light of the rapidly rising rates of suicidal behaviors in this population. As the third leading cause of death in
Black male youth aged 12-18, the timely identification of suicide risk is a critical public health priority. Yet, there
is a fundamental gap in suicide research focused on Black male populations in these transitional
developmental stages due to limited investigations of race-related (e.g. discrimination) stress as a unique
antecedent to suicide and its potentially synergistic effect on known risk factors. Digital phenotyping platforms
offers an innovative opportunity to collect real-time data associated with race-related stressors by integrating
active (e.g. ecological momentary assessment-EMA) and passive (e.g. GPS, accelerometer, etc.) data using
smartphones. Refined digital phenotyping platforms may provide more granular insights towards Black male
youth's proximal suicide risk by assessing time-varying factors as they naturally occur. Thus, the proposed
project aligns well with the recent NIMH Notice of Special Interest related to identifying risk and preventing
Black youth suicide (NOT-MH-20-055). Specifically, the candidate plans to address the following specific aims:
(1) Modify a culturally-adapted digital phenotyping protocol for appropriate use among Black male youth; (2)
Conduct a pilot digital phenotyping study among a re-contacted and newly recruited psychiatric sample of
Black male youth to determine feasibility and acceptability of real-time assessments of suicidology in the study
population. The proposed K01 project enhances the candidate's prior research in mental health disparities and
health services research among Black male adolescents, and will uniquely position the candidate to enhance
suicide risk detection methodologies using real-time and culturally-responsive digital strategies. To achieve
these career objectives, the applicant will work with a highly skilled mentorship team (Drs. Holly Wilcox, Roland
Thorpe, Sean Joe, Johannes Thrul, and Hadi Kharrazi) and scientific advisory members (Drs. Leticia Ryan,
David Williams, and Benjamin Lê Cook) to build four areas of expertise relevant to this research agenda: (1)
intensive longitudinal design and analysis, (2) suicide risk identification, (3) engaged and culturally-responsive
recruitment and retention strategies, and (4) translation of research for suitability in youth populations. The K01
award will increase the applicants' capabilities as an independent researcher to develop and test fully-powered
real-time smartphone-based approaches to identify and mitigate suicide risk in this population.
项目摘要
需要更有力的证据来预测黑人男性青年的自杀风险和预防自杀,这一点至关重要。
鉴于这一人群中自杀行为的迅速上升。作为第三大死因,
12-18岁的黑人男性青年,及时识别自杀风险是一个关键的公共卫生优先事项。然而,
这是自杀研究的一个基本空白,重点是这些过渡时期的黑人男性人口。
由于对种族相关(例如歧视)压力的调查有限,
自杀的前因及其对已知风险因素的潜在协同作用。数字表型分析平台
提供了一个创新的机会,通过整合与种族相关的压力源收集实时数据,
主动(例如生态瞬时评估-EMA)和被动(例如GPS、加速度计等)数据使用
智能手机精炼的数字表型分析平台可以为黑人男性提供更详细的见解
通过评估自然发生的随时间变化的因素,评估青年的近端自杀风险。因此,拟议的
该项目与最近NIMH关于识别风险和预防的特别关注通知保持一致
黑人青年自杀(NOT-MH-20-055)。具体而言,候选人计划实现以下具体目标:
(1)修改文化适应的数字表型协议,以便在黑人男性青年中适当使用;(2)
在重新接触和新招募的精神病患者样本中进行一项试点数字表型研究,
黑人男性青年在研究中确定自杀学实时评估的可行性和可接受性
人口拟议的K 01项目增强了候选人在心理健康差异方面的先前研究,
黑人男性青少年的健康服务研究,并将独特的定位候选人,以提高
使用实时和文化响应的数字策略的自杀风险检测方法。实现
这些职业目标,申请人将与一个高技能的导师团队(博士。冬青威尔考克斯,罗兰
Thorpe,Sean Joe,Johannes Thrul和Hadi Kharrazi)和科学顾问成员(莱蒂西亚瑞安博士,
大卫威廉姆斯和本杰明利库克)建立四个领域的专业知识相关的研究议程:(1)
密集的纵向设计和分析,(2)自杀风险识别,(3)参与和文化响应
招聘和保留战略,以及(4)翻译研究,以适应青年人口。K01
该奖项将提高申请人的能力,作为一个独立的研究人员开发和测试全动力
基于智能手机的实时方法来识别和减轻这一人群的自杀风险。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
When Death Hits You in Your Face, You Have to Listen": A Qualitative Investigation of Peer Bereavement Support Volunteers in Black American Communities.
当死亡击中你的脸时,你必须倾听”:对美国黑人社区同伴丧亲支持志愿者的定性调查。
- DOI:10.1177/00302228231161816
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Adams,Leslie;Athey,Alison;Brooks,Kelli;Lazarus,Kimberly;DeVinney,Aubrey;Leaf,PhillipJ
- 通讯作者:Leaf,PhillipJ
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Leslie Bernice Adams的其他文献
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{{ truncateString('Leslie Bernice Adams', 18)}}的其他基金
Uncovering proximal antecedents to Black male suicide using real-time approaches
使用实时方法揭示黑人男性自杀的近因
- 批准号:
10448759 - 财政年份:2022
- 资助金额:
$ 18.34万 - 项目类别:
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