Self-experiments and analytical relapse prevention.
Self-experiments and analytical relapse prevention.
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自我实验和分析复发预防。
DOI：
10.1097/01.qmh.0000308638.04850.48
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发表时间：
2008
影响因子：
1.2
通讯作者：
Baghi,Heibatollah
中科院分区：
文献类型：
--
作者：
Alemi,Farrokh;Moore,Shirley;Baghi,Heibatollah
患者给出了很多原因来解释为什么他们没有坚持自己的决心；研究表明，这些因果归因中有许多是错误的。这篇文章提供了一个工具来帮助病人找出他们行为的原因和限制，一般来说，尤其是运动。患者的日记数据可以分析，以标记错误的因果归因，从而帮助患者了解自己的行为。在开始写日记时，临床医生会和病人一起列出一系列可能的病因。使用列表，可以组织日记，跟踪各种原因和目标行为的发生。在2至3周结束时，使用条件概率模型，因果贝叶斯网络或逻辑回归分析日记数据。分析日记数据的一个关键问题是分离出各种原因的影响。通常，原因是同时发生的，因此很难理解它们的独立影响。日记数据分析的另一个问题是数据的小尺寸。这篇文章展示了如何分析来自病人日记的小的纵向数据。分析可以反驳或支持客户假设的原因。患者利用从日记分析中获得的见解来防止不健康行为的复发。这个过程持续了几个周期，包括组织、保存和分析日记数据。在每个周期中，患者获得新的见解，并做出额外的尝试来创造一个积极的环境，即使他或她的动机放弃，也能让他或她成功。本文详细介绍了如何分析日记数据以帮助患者做出正确的因果归因。
Patients give many reasons for why they have not kept up with their resolutions; research shows that many of these causal attributions are wrong. This article provides a tool to help patients sort out causes of and constraints on their behavior, in general, and exercise, in particular. Patient's diary data can be analyzed to flag erroneous causal attributions, and thus assist patients to understand their behavior. To start the diary, the clinician works with the patient to assemble a list of possible causes. Using the list, a diary is organized that tracks the occurrences of various causes and the target behavior. At the end of 2 to 3 weeks, the diary data is analyzed using conditional probability models, causal Bayesian networks or logistic regression. A key issue in the analysis of diary data is to separate out the effect of various causes. Typically, causes co-occur, making it difficult to understand their independent effects. Another problem with analysis of diary data is the small size of the data. This article shows how small longitudinal data from patient diaries can be analyzed. The analysis may refute or support causes hypothesized by the client. The patient uses the insights gained from the diary analysis to prevent relapse to unhealthy behaviors. The process is continued for several cycles of organizing, keeping, and analyzing the diary data. In each cycle, the patient gains new insights and makes additional attempts to create a positive environment that allows him or her to succeed even if his or her motivation waivers. This article provides details of how diary data can be analyzed to help patients make correct causal attributions.