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Interplay between stress and rumination in predicting depression: An EMA study

压力和沉思之间的相互作用在预测抑郁症中的作用：一项 EMA 研究

基本信息

批准号：
8956678
负责人：
Samantha L Connolly
金额：
$ 3.23万
依托单位：
TEMPLE UNIV OF THE COMMONWEALTH
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-30 至 2016-09-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8956678
关键词：
Address Affect Age Attention Buffers Cellular Phone Cognition Cognitive Data Depressed mood Development Ecological momentary assessment Economics Event Exhibits Functional disorder Individual Intervention Lead Life Life Stress Maintenance Major Depressive Disorder Measurement Measures Mediating Memory Mental Depression Mental disorders Methodology Modeling Moods Neurocognitive Participant Patient Self-Report Patients Pattern Play Preventive Intervention Property Questionnaires Reporting Research Research Support Retrieval Risk Risk Factors Role Sampling Studies Stress Stressful Event Techniques Testing Time Visit base college depression prevention depressive symptoms design diaries economic cost effective therapy emerging adult experience falls follow-up improved individualized medicine novel public health relevance response stressor trait

项目摘要

DESCRIPTION (provided by applicant): Major depressive disorder (MDD) is the most common mental disorder, associated with major personal, societal, and economic costs. Unfortunately, a poor understanding of the pathophysiology of depression has impeded the development of effective treatments for many patients. To address these unmet needs, a better understanding of the neurocognitive mechanisms implicated in the onset and maintenance of depressive illness is necessary. Although a wealth of research has examined the role of trait rumination as a cognitive vulnerability for depression, comparatively little attention has been given to the ways in which rumination functions in real-time at the state level. Given that self-report trait measures can fall prey to retrospective recall biases, it is crucial to examine rumination as it occurs naturally in varied contexts to best understand the mechanisms through which this cognitive vulnerability may confer risk for depression. This proposal seeks to employ ecological momentary assessment (EMA) techniques to better understand the role of ruminative thought in response to stressful life events as a vulnerability for the development of depressive symptoms. It is hypothesized that rumination may increase encoding of negative life events, improve subsequent recall of this information, and therefore contribute to further depressed affect. A secondary aim of this research is to examine self-focused ruminative thought in the absence of proximal stressors as an additional predictor of depression. First onset of MDD often occurs during early adulthood and especially during college, a period of novel and increased stressors. Therefore, the proposed study aims to investigate the ways in which state-level rumination, both in the presence and absence of proximal life stress, may contribute to the development of depressive symptoms among undergraduates at an age of risk for depression. Participants will complete a battery of self-report questionnaires at the Day 1 lab visit, includin measures of trait-level rumination and depressive symptoms. Following the Day 1 visit, they will complete a 7 day cell phone EMA component in which they record their current experience of negative life events, rumination, and mood 4 times a day (Days 2-8). Following a one week buffer period to lessen recency effects, the participant will return to the lab to complete an incidental free recall task of all negative life events experienced as well as to complete follow-u trait measures of rumination and depressive symptoms (Day 15). The proposed study will employ powerful statistical tests in order to identify patterns in which depressive symptoms develop in relation to rumination, either in direct response to stress or in the absence of proximal stress. Conclusions derived from this state-level data aim to inform more tailored treatments and interventions that target specific cognitive patterns that may confer risk for the development of depressive symptoms.

描述（由申请人提供）：重度抑郁症 (MDD) 是最常见的精神障碍，与重大的个人、社会和经济成本相关。不幸的是，对抑郁症病理生理学的了解不足阻碍了许多患者的有效治疗方法的开发。为了解决这些未满足的需求，有必要更好地了解与抑郁症的发病和维持有关的神经认知机制。尽管大量研究已经探讨了特质沉思作为抑郁症认知脆弱性的作用，但相对而言，人们很少关注沉思在州一级实时发挥作用的方式。鉴于自我报告特质测量可能会受到回顾性回忆偏差的影响，因此检查沉思至关重要，因为它在不同的背景下自然发生，以便最好地了解这种认知脆弱性可能带来抑郁风险的机制。该提案旨在采用生态瞬时评估（EMA）技术来更好地理解沉思思维在应对压力生活事件（作为抑郁症状发展的脆弱性）方面的作用。据推测，沉思可能会增加对负面生活事件的编码，改善随后对这些信息的回忆，从而导致进一步的抑郁情绪。这项研究的第二个目的是在没有近端压力源的情况下检查以自我为中心的沉思思维作为抑郁症的额外预测因素。 MDD 首次发作通常发生在成年早期，尤其是在大学期间，这是一个新的压力源增加的时期。因此，拟议的研究旨在调查在存在或不存在近期生活压力的情况下，国家层面的沉思可能如何导致处于抑郁风险年龄的大学生出现抑郁症状。参与者将在第一天实验室访问时完成一系列自我报告问卷，包括特质水平沉思和抑郁症状的测量。第一天访问之后，他们将完成为期 7 天的手机 EMA 组件，每天 4 次（第 2-8 天）记录他们当前的负面生活事件、沉思和情绪经历。经过一周的缓冲期以减少近因效应，参与者将返回实验室完成所有经历过的负面生活事件的偶然自由回忆任务，并完成沉思和抑郁症状的后续特征测量（第 15 天）。拟议的研究将采用强大的统计测试来确定抑郁症状与沉思相关的模式，无论是对压力的直接反应还是在没有近端压力的情况下。从这些州级数据得出的结论旨在为更有针对性的治疗和干预措施提供信息，这些治疗和干预措施针对可能会带来抑郁症状发展风险的特定认知模式。