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Background The presence of mental health conditions is pervasive in patients who experienced acute myocardial infarction (AMI), significantly disrupting their recovery. Providing timely and easily accessible psychological interventions using virtual reality-based cognitive–behavioural therapy (VR-CBT) could potentially improve both acute and long-term symptoms affecting their mental health.Aims We aim to examine the effectiveness of VR-CBT on anxiety symptoms in patients with AMI who were admitted to the intensive care unit (ICU) during the acute stage of their illness.Methods In this single-blind randomised clinical trial, participants with anxiety symptoms who were admitted to the ICU due to AMI were continuously recruited from December 2022 to February 2023. Patients who were Han Chinese aged 18–75 years were randomly assigned (1:1) via block randomisation to either the VR-CBT group to receive VR-CBT in addition to standard mental health support, or the control group to receive standard mental health support only. VR-CBT consisted of four modules and was delivered at the bedside over a 1-week period. Assessments were done at baseline, immediately after treatment and at 3-month follow-up. The intention-to-treat analysis began in June 2023. The primary outcome measure was the changes in anxiety symptoms as assessed by the Hamilton Anxiety Rating Scale (HAM-A).Results Among 148 randomised participants, 70 were assigned to the VR-CBT group and 78 to the control group. The 1-week VR-CBT intervention plus standard mental health support significantly reduced the anxiety symptoms compared with standard mental health support alone in terms of HAM-A scores at both post intervention (Cohen’s d=−1.27 (95% confidence interval (CI): −1.64 to −0.90, p

BackgroundAcceptance and commitment therapy (ACT) is a promising intervention for improving mental health. However, there is limited evidence on its effectiveness for nurses, particularly in web- and mobile-based intervention forms, in mitigating anxiety and depression symptoms. ObjectiveIn this study, we aimed to examine the effect and underlying psychological mechanisms of a web- and mobile-based ACT intervention on nurses’ anxiety and depression symptoms. MethodsIn this fully decentralized randomized controlled trial, nurses were recruited nationwide across China through advertisements and posters. They were randomly assigned to either the 5-week fully automated intervention or the waiting group. Primary outcomes (anxiety and depression symptoms); secondary outcomes (sleep quality, burnout, and work performance); and mediators (psychological flexibility, cognitive defusion, mindfulness, and values) were assessed using the Wenjuanxing platform. Data collectors were blinded to the group assignments throughout the study period. ResultsA total of 145 nurses with anxiety or depression symptoms were randomly assigned to either the intervention group (n=72, 49.7%) or the control group (n=73, 50.3%); 97.2% (n=141) were female. During the study, 36 (24.8%) nurses were lost to follow-up, and 53 (73.6%) completed the entire intervention. Nurses in the intervention group showed significant improvement in anxiety (d=0.67, 95% CI 0.33-1.00) and depression symptoms (d=0.58, 95% CI 0.25-0.91), and the effects were sustained for 3 months after the intervention (anxiety: d=0.55, 95% CI 0.22-0.89; depression: d=0.66, 95% CI 0.33-1.00). Changes in psychological flexibility, cognitive defusion, and values mediated the effect of the intervention on anxiety and depression symptoms, while mindfulness did not have a mediating effect. ConclusionsThe web- and mobile-based ACT intervention used in this study significantly improved nurses’ anxiety and depression symptoms by improving psychological flexibility, cognitive defusion, and values. The results provide new ideas for hospital administrators to prevent and intervene in nurses’ psychological issues. Trial RegistrationChinese Clinical Trial Register ChiCTR2200059218; https://tinyurl.com/4mb4t5y9

BackgroundWomen undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment were generally found to experience varying degrees of psychological distress across the treatment. Existing studies focused on total scores and diagnostic thresholds to characterize the symptoms’ severity, which might hinder scientific progress in understanding and treating psychological distress.AimsWe aimed to investigate (a) how depression and anxiety symptoms are interconnected within a network, and (b) the changes of the network (symptom connections and network centralities) over time, in women undergoing in vitro fertilization-embryo transfer.MethodsA 4-wave longitudinal study was designed with 343 eligible women recruited from the Reproductive Medicine Center of a tertiary hospital in China. The network models were created to explore the relationship and changes between psychopathology symptoms both within and across anxiety and depression, with anxiety measured by the Generalized Anxiety Disorder-7 and depression measured by the Patient Health Questionnaire-9. Symptom network analysis was conducted to evaluate network and network properties, network centrality, and bridge centrality, as well as change trajectory network.ResultsFor the strength centrality, “inability to control worry” and “worrying too much” were the most central symptoms at T1; however, these symptoms decreased. The centrality of “sadness” and “guilt” tended to increase steadily and became dominant symptoms. For bridge centrality indices, several bridge symptoms were identified separately from T1 to T4: “irritability,” “concentration difficulties,” “nervousness,” and “restlessness;” “guilt” exhibited increased bridge symptoms. Furthermore, the change trajectory network indicated that “suicide ideation” became more closely related to guilt but not to worrying too much over time.ConclusionThis study provides novel insights into the changes in central features, connections, and bridge symptoms during IVF-ET treatment and identified several bridge symptoms separately at different stages, which could activate the connection between psychopathology symptoms. The results revealed that sense of guilt was associated with worsening psychopathology symptoms, indicating that future psychological interventions should target guilt-related symptoms as a priority.