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Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.

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Internet-based cognitive behavioral therapy for alcohol use disorder: A systematic review of evidence and future potential.

J Subst Use Addict Treat

January 2025

Department of Psychiatry and Psychology, Cleveland Clinic, Cleveland, OH, United States; Department of Psychiatry, University Hospitals, Cleveland, OH, United States. Electronic address:

Introduction: While cognitive behavioral therapy (CBT) remains a highly effective psychotherapy approach for managing Alcohol Use Disorder (AUD), its potential is hindered by workforce shortages and access barriers. In response to these challenges, Internet-Based Cognitive Behavioral Therapy (iCBT) has emerged as an innovative solution that integrates the core CBT structure with technology. In iCBT, educational materials, therapist communication and progress dashboards can be centralized in a digital format, and delivered in a self-guided, therapist-guided or blended approach.

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Patient-Initiated Brief Admission (PIBA) is perceived as a constructive intervention. It remains uncertain whether PIBA contributes to healthier behaviors among its users. To comprehend patients' motivation to engage in health-promoting behaviors, it is essential to understand how various nursing interventions influence the behavior-specific thoughts and feelings that lead to healthy behaviors.

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Background: Postpartum depression remains a significant concern, posing substantial challenges to maternal well-being, infant health, and the mother-infant bond, particularly in the face of barriers to traditional support and interventions. Previous studies have shown that mobile health (mHealth) interventions offer an accessible means to facilitate early detection and management of mental health issues while at the same time promoting preventive care.

Objective: This study aims to evaluate the effectiveness of the Leveraging on Virtual Engagement for Maternal Understanding & Mood-enhancement (LoVE4MUM) mobile app, which was developed based on the principles of cognitive behavioral therapy and psychoeducation and serves as an intervention to prevent postpartum depression.

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Purpose: Prior research demonstrates that children with autism are more likely to experience unintentional injuries than the general population. Limited research exists on the symptoms or traits directly related to autism and this elevated injury rate, especially from the perspective of families with children with autism. This study used qualitative methodology to elucidate risk factors that may contribute to unintentional injuries in children with autism from the perspective of mothers raising children with autism.

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