LLD Course & Treatment Decisions: Psychosocial Influences
LLD Course & Treatment Decisions: Psychosocial Influences
批准号:
7234275
负责人:
PAUL R DUBERSTEIN
金额:
$14.21万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-06-01 至 2011-05-31
关键词:
AdherenceAdultAwardBiologicalClinicalDataData AnalysesData CollectionData SetDepressed moodDetectionDoctor of PhilosophyEducationElderlyFacultyFeeling suicidalFundingGrantHealthInpatientsMajor Depressive DisorderMental DepressionMentorsMethodsModelingMoodsNational Institute of Mental HealthOutcomePatientsPersonalityPersonality TraitsPhysiciansPreventionPrimary Health CarePrincipal InvestigatorProcessPublic HealthPublic HousingQualitative MethodsReportingResearchRiskScientistSiteSocial Aspects of CancerSocial supportSuicideSuicide preventionSupport of ResearchSymptomsTestingTherapeuticaccomplished suicidebasecognitive functioncollaborative trialdepressive symptomsdesignexperiencegeriatric depressionprogramspsychosocialracial differenceskillssocialsuicidal behavior
中文摘要
描述(由申请人提供):LLD课程和治疗决定:心理社会影响。1999年,K24应用程序的首席研究员Paul Duberstein博士开始开发一个模型,试图解释为什么老年抑郁症(LLD)经常没有被患者报告,也没有被他们的另一半发现。模型中的关键变量是:患者和他们的另一半的人格特征、社会支持、认知功能和身体健康。来自两个NIMH赠款的资金支持了在抑郁症住院患者(项目1;NIMH,R01MH60285)和初级保健患者中测试该模型的各个方面的研究。(项目2:“检测老年人的抑郁症状”,NIMH R01MH64579)。具体地说,这些项目假设具有特定个性特征的人不太可能报告情绪症状。此外,他们的情绪症状不太可能被其他人察觉。对项目1数据集的分析与这些假设是一致的。项目2的数据收集已完成。拟议的K24将为扩展这一研究计划提供支持,并支持专注于关于LLD的进一步研究的指导活动。K24研究的目标是:a)使用从这些R01中收集的数据测试和改进症状检测模型,并基于这些发现提交新的R01;b)使用定性和定量的方法来确定心理社会、生物和社会文化对LLD的治疗参与度(例如,开始、坚持)和结果的影响。申请者和他的受助人将实施一项新的关于公屋居民LLD的研究(项目3),并对NIMH资助的一项名为防止基层护理老年人自杀-合作试验(PROPE,项目4)的多地点研究收集的数据进行二次分析。种族差异将在项目2-4中探讨。K24教育的目标是:a)发展定性方法的技能,b)作为社会科学家和医生的有效、文化敏感的导师,继续提高技能的过程。到颁奖期结束时,P.I.将为LLD的治疗和预防的概念化做出重大贡献,获得新的研究和指导技能,并成为全国知名的杰出导师,为寻求研究这些重要的公共卫生、临床和治疗问题的各种发展中的教师和研究员提供帮助。
英文摘要
DESCRIPTION (provided by applicant): LLD Course & Treatment Decisions: Psychosocial Influences. In 1999, the Principal Investigator of this K24 application, Paul Duberstein, PhD, began to develop a model that seeks to explain why late-life depression (LLD) so often goes unreported by patients and undetected by their significant others. Key variables in the model are: personality traits, social support, cognitive function, and physical health of both patients and their significant others. Funding from two NIMH grants supported research to test aspects of this model in depressed inpatients (Project 1; "Adult depression, suicidal ideation, and personality," NIMH, R01 MH60285) and primary care patients. (Project 2; "Detecting depressive symptoms in older adults," NIMH R01MH64579). Specifically, those projects hypothesized that people with particular personality traits are less likely to report mood symptoms. Moreover, their mood symptoms are less likely to be detected by others. Analyses of the Project 1 dataset are consistent with these hypotheses. Data collection for Project 2 is completed. The proposed K24 will provide support to extend this program of research, and to support mentoring activities focused on further research regarding LLD. K24 Research Aims: a) to test and refine a model of symptom detection using data collected in these R01s, and submit a new R01 based on these findings; b) to use qualitative and quantitative methods to identify the psychosocial, biological, and sociocultural influences on treatment engagement (e.g., initiation, adherence) and outcomes in LLD. The applicant and his mentees will implement a new study on LLD in public housing residents (Project 3) and conduct secondary analyses of data collected in an NIMH-funded multi-site study called the Prevention of Suicide in Primary Care Elderly - Collaborative Trial (PROSPECT, Project 4). Race differences will be explored in Projects 2-4. K24 Education Aims: a) to develop skills in qualitative methods, and b) to continue the process of enhancing skills as an effective, culturally sensitive mentor to social scientists and physicians. By the end of the Award period, the P.I. will have made a substantial contribution to the conceptualization of the treatment and prevention of LLD, acquired new research and mentoring skills, and developed a national reputation as an outstanding mentor for a diverse array of developing faculty and fellows seeking to study these important public health, clinical, and therapeutic issues.
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