Development of Negative Valence Measures

负价措施的发展

• 批准号: 10308516
• 负责人: Roman I Kotov
• 金额: $ 73.77万
• 依托单位: STATE UNIVERSITY OF NEW YORK AT BUFFALO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10308516
• 关键词: Acute; Address; Adult; Age; Anxiety; Behavior; Buffaloes; Catalogs; Characteristics; Clinic; Clinical; Clinical Research; Common Data Element; Communities; Data; Data Collection; Deltastab; Development; Diagnosis; Dimensions; Equation; Ethnic Origin; Etiology; Frustration; Goals; Health Insurance Portability and Accountability Act; Internet; Intervention; Interview; Judgment; Link; Longitudinal Studies; Maps; Measures; Mental disorders; Methods; Modeling; Monitor; National Institute of Mental Health; Negative Valence; Outcome; Outpatients; Participant; Patient Self-Report; Patients; Phase; Physiological; Physiology; Population; Process; Psychometrics; Psychopathology; Psychophysiology; Questionnaires; Research; Research Domain Criteria; Research Personnel; Resolution; Sampling; Science; Self Administration; Site; Source; Specific qualifier value; Symptoms; System; Task Performances; Taxonomy; Testing; Traction; Walking; appetite loss; clinical application; clinical care; clinical translation; design; disease classification; ethnic diversity; evidence base; flexibility; handheld mobile device; instrument; recruit; response; screening; sex; sound; theories; tool; trait

PROJECT ABSTRACT Research Domain Criteria (RDoC) is a breakthrough framework for understanding the etiology of mental disorders, but it has no clinical traction at present. Of the RDoC units of analysis, self-report measures can be most feasibly implemented in a clinic, but many self-reports for RDoC’s Negative Valence Systems (NVS) constructs have psychometric shortcomings and lack normative data. We seek to develop psychometrically sound, brief, and validated self-report measures (questionnaires and interviews) of each NVS construct with strong normative data. We will investigate linkages of these self-report measures to other RDoC units of analyses (behavior, task performance, and psychophysiology) to identify self-reports that align with NVS dimensions most strongly and specifically. Also, we will fully characterize clinical manifestations of NVS constructs using a comprehensive dimensional system of symptoms, maladaptive traits, and behaviors (Hierarchical Taxonomy of Psychopathology; HiTOP). The direct counterpart of NVS is internalizing psychopathology, which HiTOP describes with high resolution using 36 specific dimensions. Measure development will be carried out in 2 successive phases, each including a sample of (a) 400 outpatients in psychiatric clinics and (b) 600 community-dwellers. Participants will be adults selected to be representative of the US adult population in terms of age, sex, and ethnicity to obtain strong normative data. In Phase 3, we will validate self-report measures against physiology, task performance, and behavior markers of NVS aligned with the RDoC matrix in a new sample of 300 community adults and 300 psychiatric outpatients. We also will study the longitudinal validity of all new measures over a one-year interval. To facilitate rapid and ethnically diverse data collection, three recruitment sites—Buffalo NY, Stony Brook NY, and Dallas/Denton TX—are proposed. The proposed research will provide a comprehensive catalogue of self-reported characteristics linked to NVS. This will produce stronger measures of NVS constructs and a cross-walk to their clinical manifestations, which will enable clinical translation of NVS. The resulting instruments will be normed, reliable, and highly efficient, and thus scalable to mobile monitoring, screening, and self-administration at population level and clinically. The rigorous and systematic linkage between RDoC NVS constructs and HiTOP internalizing dimensions will be the first step to bringing RDoC and HiTOP together into a unified and evidence-based nosology that integrates etiologic and clinical characterizations of patients.

项目摘要 研究领域标准(RDoC)是理解精神疾病病因的突破性框架 疾病，但它目前没有临床牵引力。在RDoC的分析单位中，自我报告的措施可以 大多数在临床上实施是可行的，但RDoC的负价系统(NVS)的许多自我报告 结构有心理测量学上的缺陷，缺乏标准化的数据。我们寻求发展心理测量学 每个NVS结构的合理、简短和有效的自我报告措施(问卷和访谈)，以及 强劲的规范性数据。我们将调查这些自我报告措施与RDoC其他单位之间的联系 分析(行为、任务表现和心理生理学)以确定与NVS一致的自我报告 最强烈和最具体的维度。此外，我们还将全面描述NVS的临床表现 使用症状、适应不良特征和行为的综合维度系统进行构建 《精神病理学等级分类法》(HiTOP)NVS的直接对应物是内化 精神病理学，HiTOP使用36个特定维度以高分辨率描述这一学科。量测 发展将分两个阶段进行，每个阶段包括(A)400名门诊病人的样本。 精神科诊所和(B)600名社区居民。参与者将是被选为代表的成年人 美国成年人口在年龄、性别和种族方面的数据，以获得强有力的规范数据。在第三阶段，我们将 对照NVS的生理、任务绩效和行为标记验证自我报告测量 RDoC矩阵在300名社区成年人和300名精神科门诊患者的新样本中。我们也会研究 所有新措施在一年时间间隔内的纵向有效性。促进快速和种族多元化 在数据收集方面，提出了三个招聘地点--纽约州布法罗、纽约州石溪和德克萨斯州达拉斯/丹顿。 拟议的研究将提供与NVS有关的自我报告特征的全面目录。 这将产生对NVS结构的更强测量，并对其临床表现进行交叉验证， 将使NVS的临床翻译成为可能。由此产生的工具将是规范的、可靠的和高效的， 因此可扩展到人群级别和临床上的移动监测、筛查和自我管理。 RDoC NVS结构和HiTOP内化维度之间的严格和系统联系将 是将RDoC和HiTOP结合成统一的、基于证据的病因学的第一步 综合患者的病因学和临床特征。