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:
    10448759
  • 负责人:
  • 金额:
    $ 18.42万
  • 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

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 需要更强大的证据来预测风险和预防黑人男性青年自杀至关重要 该人群中自杀行为速度迅速上升的情况。作为第三大死亡原因 及时确定自杀风险是至关重要的公共卫生优先事项。但是,那里 是自杀研究的根本差距,该研究集中在这些过渡中 由于种族相关(例如歧视)压力的投资有限,发展阶段是独特的 对自杀的先决条件及其对已知危险因素的潜在协同作用。数字表型平台 提供了创新的机会,通过整合与种族相关压力源相关的实时数据 使用活性(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。精致的数字表型平台可能会为黑人男性提供更多的详细见解 通过自然发生时变化的因素来评估年轻人的近端自杀风险。那,提议 项目与最近有关与识别风险相关的特殊兴趣的通知非常吻合 黑人青年自杀(非MH-20-055)。具体而言,候选人计划解决以下特定目标: (1)修改一种文化适应的数字表型制定方案,以适当使用黑人男性青年; (2) 在重新接触和新招募的精神病样本中进行试验数字表型研究 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K01项目增强了候选人在心理健康差异方面的先前研究和 黑人男性青少年的卫生服务研究,并将独特地定位候选人以增强 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,申请人将与高技能的Mentalship团队合作(Holly Wilcox博士,Roland Thorpe,Sean Joe,Johannes Thrul和Hadi Kharrazi)和科学咨询成员(Leticia Ryan博士, 戴维·威廉姆斯(David Williams)和本杰明·卢克(BenjaminLêcook))建立了与该研究议程相关的四个专业领域:(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 招聘和保留策略,以及(4)青年人口适用性研究的翻译。 K01 奖项将提高申请人作为独立研究人员的能力,以开发和测试全力以赴 基于智能手机的实时方法来识别和减轻该人群的自杀风险。

项目成果

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Leslie Bernice Adams其他文献

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:
    10643956
  • 财政年份:
    2022
  • 资助金额:
    $ 18.42万
  • 项目类别:

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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
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  • 财政年份:
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  • 资助金额:
    $ 18.42万
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A sensor-controlled digital game-based approach to improve self-care behaviors among adults diagnosed with hypertension in a Native American community
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