Depression and Anxiety最新文献

S. Chapagai, I. P. Banjade, and S. P. Khanal, “Factors Associated With Depressive Symptoms Among Graduate Students in Science and Technology: A Cross-Sectional Study With Multivariable Analysis,” Depression and Anxiety 2025 (2025): 8886228, https://doi.org/10.1155/da/8886228.

In the article titled, “Factors Associated With Depressive Symptoms Among Graduate Students in Science and Technology: A Cross-Sectional Study With Multivariable Analysis,” there was an error in the article type. The correct article type is Research Article.

We apologize for this error.

M. Zheng, H. Wang, C. Li, et al., “Marital Adjustment as a Mediator Between Emotional Suppression and Self-Compassion in Women Aged 35+ Undergoing In Vitro Fertilization-Embryo Transfer: A Cross-Sectional Observational Study,” Depression and Anxiety (2025): 2025 2100969, https://doi.org/10.1155/da/2100969.

In the article titled, “Marital Adjustment as a Mediator Between Emotional Suppression and Self-Compassion in Women Aged 35+ Undergoing In Vitro Fertilization-Embryo Transfer: A Cross-Sectional Observational Study,” there was an error in Figure 1. The figure should show with the connecting lines that illustrate the conceptual relationships between variables. The correct Figure 1 is shown below:

We apologize for this error.

Depression-related symptoms, such as loss of motivation and diminished interest in activities, correspond to loss of agency. Given recent evidence that agency (or its lack) can be reliably detected in language, we investigated how linguistic manifestations of agency relate to depressive experiences. In two studies, we explored whether semantic agency can serve as a novel marker of depressive experiences within the context of postpartum. We analyzed data from Twitter (Study 1, N = 17,664 tweets) and Reddit (Study 2, N = 3033 posts), using three complementary approaches: machine learning-based topic detection, analysis of established linguistic markers of depression, and expert coding of depressive experiences. Across both studies, reduced semantic agency consistently emerged as a reliable indicator of depressive features. Posts discussing individuals’ depressive experiences in the postpartum period exhibited lower levels of semantic agency; semantic agency within posts was negatively correlated with established linguistic markers of depression; and semantic agency was negatively linked to depressive experiences as coded by experts. These findings highlight the potential of semantic analysis for mental health applications, suggesting that agency-based markers could enrich existing linguistic frameworks examining psychological distress. While this research is at an early stage, future validation could clarify whether such markers might enhance the sensitivity of language-based screening tools for identifying individuals in need of mental health support.

Obsessive-compulsive disorder (OCD) is a psychiatric condition that varies considerably in severity and resistance to treatment. The aim of this study was to identify error detection abnormalities in OCD patients using evoked potential recordings and to determine whether links could be established between individual patients’ error detection processes and their severity and resistance to treatment. To answer this question, the potentials evoked by participants’ responses to a flanker task, i.e., the error-related negativity (ERN/CRN component) and subsequent positivity (Pe/Pc component), were recorded. Twenty-six OCD patients with a wide range of pathology severity and treatment resistance and 26 control participants matched for gender, age, and education level with the patients were included in the study. The amplitude of the error-related negativity (ERN) evoked by false responses was positively correlated with the severity of patients’ pathology, while the lower the amplitude of the negativity evoked by correct responses (CRN), the more resistant patients were to treatment. The ERN/CRN components could therefore be used as markers of the severity and treatment resistance of OCD patients’ pathology. Furthermore, under the present experimental conditions, the positive Pe/Pc component, supposed to reflect patients’ awareness of the correctness of their responses, was virtually absent compared to control participants. This suggests a major deficit in the patients’ monitoring of the consequences of their actions. The discovery of this disappearance of action feedback signals in patients leads to proposing an original neurodevelopmental model for the onset of pathology in childhood or adolescence.

Anxiety disorders and depression are the most frequently diagnosed mental illnesses and are highly comorbid. Both have been linked to memory impairments, albeit the relationship between them remains unclear and understudied. Our review aims to investigate behavioral pattern separation performance in individuals with varying levels of anxiety and depression. We included studies where mnemonic discrimination performance is measured using mnemonic discrimination tasks designed to directly measure behavioral pattern separation, while symptoms of anxiety and/or depression are assessed using any validated and recognized scales or inventories. We only included quantitative studies. Fixed scientific databases and artificial intelligence were systematically searched, identifying nine studies on anxiety and 14 on depression. Anxiety studies presented conflicting evidence, but a trend showed optimal mnemonic discrimination with threat-based encoding and safe retrieval. Conversely, depression studies consistently suggested a negative relationship between symptom severity and pattern separation performance. Additionally, pattern separation appeared enhanced for negative stimuli and impaired for neutral stimuli in individuals with higher levels of depression. However, no clear differences were observed between clinically diagnosed groups and healthy controls. Methodological inconsistencies in anxiety studies present challenges for interpretation. Similarly, the effects of medication and the heterogeneity of clinical groups pose limitations to depression studies. Trends were identified, but further investigation with unified methodologies and clinical groups is needed to understand the relationship between anxiety, depression, and mnemonic discrimination performance.

N. A. Simon, J. Evans, D. Bispham, et al., “A Systematic Review of Factors Associated With Treatment Engagement and Outcome for Women in the Perinatal Period Receiving Individual Cognitive Behavioral Therapy (CBT) for Depression, Anxiety, and Trauma-Related Disorders,” Depression and Anxiety 2025 (2025): 3698331, https://doi.org/10.1155/da/3698331.

In the article titled, “A Systematic Review of Factors Associated With Treatment Engagement and Outcome for Women in the Perinatal Period Receiving Individual Cognitive Behavioral Therapy (CBT) for Depression, Anxiety, and Trauma-Related Disorders,” author Jonathan Jones was affiliated to Perinatal Community Mental Health Service, Cardiff and Vale UHB, Wales, Cardiff, UK, which is incorrect. The correct affiliation for this author is as follows:

University Library Service, Cardiff University, Cardiff, Wales.

The corrected list of affiliations is shown in the author information below:

Natalie A. Simon¹, Jenna Evans², Darcy Bispham², Ffion Williams², Jonathan Jones³, Neil P. Roberts⁴, and Cerith S. Waters^1,2

¹South Wales Clinical Psychology Training Program, School of Psychology, Cardiff University, Wales, Cardiff, UK

²Perinatal Community Mental Health Service, Cardiff and Vale UHB, Wales, Cardiff, UK

³University Library Service, Cardiff University, Cardiff, Wales

⁴Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Wales, Cardiff, UK

We apologize for this error.

Anxiety and depression affect over 500 million people globally. Despite the availability of effective low-cost treatments, like those provided by NHS talking therapies (TT), over half of patients relapse within a year, highlighting the need to co-develop solutions to maintain wellbeing and optimise healthcare. This study used a multiphase participatory design to synthesise evidence on relapse prevention and collaboratively develop evidence-informed strategies for sustained mental health following low-intensity treatment. The three-phase project began by synthesising evidence from diverse sources. Phase 2 involved two patient and two NHS professional/key stakeholder co-design workshops, using the RAND/UCLA appropriateness method. A sustained patient and public involvement (PPI) group reviewed and refined findings, co-designing content for phase 3, which involved a mixed-stakeholder online meeting to finalise key recommendations and priorities. Phase 1 identified 41 evidence-based solutions for rating during phase 2. Across the four phase 2 workshops (n = 18), 24 solutions were rated as appropriate and necessary and ranked for priorities. These were refined with the PPI group into 13 core recommendations. These recommendations were incorporated into a relapse prevention model during the final workshop, forming a foundation to enhance post-treatment support and inform clinical practice, service design, workforce training and policy. Preventing relapse and supporting wellbeing are essential for improving patient outcomes and reducing health inequalities. Identifying priorities across multiple levels lays the groundwork for a robust relapse prevention model that promotes sustained recovery. Future research should implement and evaluate the feasibility and impact of these recommendations in routine care.