Spanish Adaptation of Negative Valence Measures
Spanish Adaptation of Negative Valence Measures
批准号:
10540547
负责人:
Roman I Kotov
金额:
$6.77万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-01 至 2025-03-31
关键词:
AcuteAddressAdultAgeAnxietyBehaviorBuffaloesCatalogsCharacteristicsClinicClinicalClinical ResearchCommon Data ElementCommunitiesDataData CollectionDeltastabDevelopmentDiagnosisDimensionsEquationEthnic OriginEtiologyFrustrationGoalsHealth Insurance Portability and Accountability ActInternetInterventionInterviewJudgmentLinkLongitudinal StudiesMapsMeasuresMental disordersMethodsModelingMonitorNational Institute of Mental HealthNegative ValenceOutcomeOutpatientsParticipantPatient Self-ReportPatientsPhasePhysiologicalPhysiologyPopulationProcessPsychometricsPsychopathologyPsychophysiologyQuestionnairesResearchResearch Domain CriteriaResearch PersonnelResolutionSamplingScienceSelf AdministrationSiteSourceSpecific qualifier valueSymptomsSystemTask PerformancesTaxonomyTestingTractionWalkingappetite lossclinical applicationclinical careclinical translationdesigndisease classificationethnic diversityevidence baseflexibilityhandheld mobile deviceinstrumentrecruitresponsescreeningsexsoundtheoriestooltrait
中文摘要
项目摘要
研究领域标准(RDoC)是一个突破性的框架,了解精神疾病的病因学,
疾病,但它目前没有临床牵引力。在RDoC分析单元中,可以使用自我报告测量
最可行的是在诊所中实施,但RDoC的负价系统(NVS)的许多自我报告
结构具有心理测量学的缺点并且缺乏规范数据。我们寻求心理测量学上的发展
每个NVS结构的合理、简短且经过验证的自我报告措施(问卷和访谈),
强规范性数据。我们将调查这些自我报告措施与其他RDoC单位的联系,
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
最强烈和具体的维度。此外,我们将充分表征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构建
(Hierarchical Taxonomy of Psychopathology,HiTOP)NVS的直接对应物是内部化
HiTOP使用36个特定维度以高分辨率描述精神病理学。测量
发展将分两个连续阶段进行,每个阶段包括:(a)400名门诊病人,
精神病诊所和(B)600名社区居民。参与者将是成年人,被选为代表,
美国成年人口的年龄,性别和种族,以获得强有力的规范性数据。在第三阶段,我们将
根据NVS的生理、任务表现和行为标记验证自我报告措施,
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。我们还将研究
所有新措施在一年内的纵向有效性。以促进快速和种族多样性
数据收集,三个招聘网站布法罗纽约,斯托尼布鲁克纽约,和达拉斯/丹顿TX的建议。
拟议的研究将提供与NVS相关的自我报告特征的全面目录。
这将产生更强的NVS结构的测量和对其临床表现的交叉步行,
将实现NVS的临床翻译。由此产生的仪器将是规范的、可靠的和高效的,
因此可扩展到群体水平和临床上的移动的监测、筛选和自我给药。
RDoC NVS结构和HiTOP内化维度之间的严格和系统的联系将
是将RDoC和HiTOP合并为统一的循证疾病分类学的第一步,
整合了患者的病因学和临床特征。
英文摘要
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.
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