Activation comportementale et dépression : une approche de traitement contextuelle
Bibliographic record
Abstract
Depression is a widespread psychological disorder that affects approximately one in five North American. Typical reactions to depression include inactivity, isolation, and rumination. Several treatments and psychological interventions have emerged to address this problematic. Cognitive behavioural therapies have received increasingly large amounts of empirical support. A sub-component of cognitive behavioural therapy, behavioural activation, has been shown to in itself effectively treat symptoms of depression. This intervention involves efforts to re-activate the depressed client by having them engage in pleasant, gratifying, leisure, social, or physical activities, thereby counteracting the tendency to be inactive and to isolate oneself. Clients are guided through the process of establishing a list of potentially rewarding social, leisure, mastery-oriented or physical activities, to then establish a gradual hierarchy of objectives to be accomplished over the span of several weeks. Concrete action plans are devised, and solutions to potential obstacles are elaborated. The client is the asked to execute the targeted objective and to record their mood prior to and following the activity. Behavioural activation effectively reverses the downward spiral to depression. Interestingly, studies show that behavioural activation has a positive effect on cognitive activities. It has been shown to reduce rumination and favour cognitive restructuring, without requiring cognitively-based interventions. The advantage of this treatment is therefore that it is simpler to administer in comparison to full-packaged cognitive behavioural therapies, it requires a lesser number of sessions and can be disseminated in a low-intensity format. This article begins by summarizing the origins of the behavioural model of depression, which serves as a basis to the understanding of behavioural activation. This is followed by a detailed explanation of the different phases involved in a behavioural activation intervention. Empirical support for behavioural activation is then presented in regards to depression as well as comorbid physical and psychological health problems. The results of meta-analyses and randomized controlled trials are presented. Behavioural activation is then discussed within the framework of third-wave therapies, discussing the potential role of mindfulness in behavioural activation objectives. Specifically, it is suggested that mindfulness, although not necessarily directly addressed in behavioural activation interventions, is an integral part of this intervention as clients are asked to record their mood and activities and to become cognizant of the relationship between their symptoms of depression and the participation in activities that provide positive reinforcement. This favours self-awareness and allows clients to realize the impact of their actions on their physical and psychological states. In engaging in self-observation and self-recording, and in participating in a variety of tasks and activities, clients are indirectly encouraged to focus on the here and now rather that to succumb to the depressive tendency that is to ruminate. Suggestions are made as to how therapists can include mindfulness-based activities in the behavioural activation hierarchy. It is hypothesized that, due to the calming effect of mindfulness practices on the nervous system, incorporating mindfulness-based activities-such as yoga, tai chi, Qi Gong, or meditation-could for some people enhance the efficacy of behavioural activation interventions and foster a greater sense of well-being. The article concludes by discussing issues that should be addressed in future research. It is suggested that future studies on behavioural activation explore the impacts of incorporating mindfulness-based activities in the behavioural activation hierarchy in comparison to a traditional hierarchy limited to the accomplishment of gratifying or mastery-oriented tasks, social outings, leisure activities and physical activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".