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Prevention of recurrent depression with cognitive behavioral therapy: preliminary findings.

Author: BelluardoP, ContiS, FavaG A, GrandiS, RafanelliC

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Clinical TrialA clinical trial is a planned study conducted on humans to evaluate the efficacy and safety of pharmaceuticals, medical devices, and treatment methods. It aims to explore the possibilities of new treatments and improve the health of patients.
Randomized Controlled TrialA clinical trial that randomly assigns participants to treatment and control groups to evaluate the effects of an intervention.
Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.

Overview

This study aimed to determine whether cognitive behavioral therapy (CBT) could effectively prevent relapse in individuals with recurrent depression (those who have experienced at least three episodes of depression). Previous research indicated that CBT was successful in reducing relapse rates in patients with primary (first-time) major depressive disorder after they had achieved remission through medication.
Paper Details　
Original Abstract of the Article :
Cognitive behavioral treatment (CBT) of residual symptoms after successful pharmacotherapy yielded a substantially lower relapse rate than did clinical management in patients with primary major depressive disorders. The aim of this study was to test the effectiveness of this approach in patients wit...See full text at original site
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引用元：
https://doi.org/10.1001/archpsyc.55.9.816

データ提供：米国国立医学図書館（NLM）

Tackling Recurring Depression with Cognitive Behavioral Therapy

The field of [mental health] is constantly seeking better ways to manage [depression], a condition that can significantly impact quality of life. This research explores the effectiveness of [cognitive behavioral therapy (CBT)] in preventing [recurrent depression]. The study, using a [clinical trial] design, aimed to determine if CBT could reduce the likelihood of [relapsing into depression] in individuals with a history of multiple depressive episodes. The authors found that [CBT was successful in reducing the relapse rate] compared to standard clinical management, providing hope for individuals struggling with recurrent depression.

Promising Results for Recurrent Depression

This study suggests that [CBT can be a valuable tool in preventing depression relapse]. The findings, based on [clinical trial data], indicate that [CBT may be a more effective approach] than traditional methods, leading to a [reduced likelihood of experiencing another depressive episode]. This is a significant step towards [improving the lives of individuals with recurrent depression].

Embracing CBT for Better Mental Well-being

The results of this study underscore the importance of [seeking professional help] for recurrent depression. [Cognitive behavioral therapy (CBT)] can provide valuable tools and strategies for [managing symptoms and preventing relapse]. This can lead to [increased stability and improved quality of life]. It's crucial to remember that [mental health is an ongoing journey], and seeking support from qualified professionals can make a world of difference.

Dr. Camel's Conclusion

Imagine a camel traversing the vast desert, facing the challenges of sandstorms and scorching sun. Just like a camel needs to adapt to survive, people battling recurrent depression need tools to navigate their mental landscape. This study shows that CBT can be that crucial tool, helping individuals regain control over their well-being and overcome recurring depression. It's a reminder that even in the face of adversity, hope and healing are possible.

Date :
  1. Date Completed 1998-09-16
  2. Date Revised 2022-03-17
Further Info :

Pubmed ID

9736008

DOI: Digital Object Identifier

10.1001/archpsyc.55.9.816

Related Literature

Article Analysis
・Effective treatment of depression
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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