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Efficacy and cost-effectiveness of an ACT and compassion-based intervention for women with breast cancer: study protocol of two randomised controlled trials {1}.

Trials

January 2025

Center for Research in Neuropsychology and Cognitive and Behavioral Intervention, Faculty of Psychology and Education Sciences, University of Coimbra, Coimbra, Portugal.

Background: Breast cancer is the most diagnosed cancer in women worldwide and carries a considerable psychosocial burden. Interventions based on Acceptance and Commitment Therapy (ACT) and compassion-based approaches show promise in improving adjustment and quality of life in people with cancer. The Mind programme is an integrative ACT and compassion-based intervention tailored for women with breast cancer, which aims to prepare women for survivorship by promoting psychological flexibility and self-compassion.

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Background: Stigma significantly impacts individuals with Parkinson's disease (PD) and their caregivers, exacerbating social isolation, psychological distress, and reducing quality of life (QoL). Although considerable research has been conducted on PD's clinical aspects, the social and emotional challenges, like stigma, remain underexplored. Addressing stigma is crucial for enhancing well-being, fostering inclusivity and improving access to care and support.

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Purpose Of Review: Eating behaviour-focused interventions are essential for improving health and weight-related outcomes in patients undergoing metabolic bariatric surgery (MBS). This work aims to examine the content of eating behaviour-focused weight management interventions adjunct to MBS in terms of the type and quantity of behaviour change techniques (BCTs). A literature search retrieved randomised controlled and parallel group trials up to March 2024.

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Purpose Of Review: This review aims to evaluate the impact of artificial intelligence (AI) on cancer health equity, specifically investigating whether AI is addressing or widening disparities in cancer outcomes.

Recent Findings: Recent studies demonstrate significant advancements in AI, such as deep learning for cancer diagnosis and predictive analytics for personalized treatment, showing potential for improved precision in care. However, concerns persist about the performance of AI tools across diverse populations due to biased training data.

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Alexithymia, a cognitive and emotional deficit characterized by difficulty in expressing emotions and identifying feelings, poses significant challenges in healthcare settings. Developing a reliable and valid tool to measure alexithymia in post-prostatectomy patients would not only aid healthcare professionals in identifying at-risk individuals but also facilitate early intervention and targeted support. This study aimed to translate the Brief Form of the Normative Male Alexithymia Scale (NMAS-BF) into Simplified Chinese, evaluate the reliability and validity of the Chinese version, and explore its influencing factors.

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