Neuroticism is considered the general antecedent of many specific psychopathological conditions. Even though previous studies addressed the issue of a mediated relationship by which it exerts its influence, they failed to encapsulate the changes that occur over time. Approaching the pathway between neuroticism and psychopathology from a longitudinal perspective might clarify its underlying mechanisms. The present study aimed to address this by examining the associations between neuroticism, social-cognitive vulnerabilities (anxiety sensitivity, intolerance of uncertainty, experiential avoidance, looming cognitive style), and internalizing psychopathology (depression, anxiety, panic) in an N = 373 student sample. Cross-lagged Panel Model (CLPM) and Random-Intercept Cross-Lagged Panel Model (RI-CLPM) were used to test the mediation analyses in a longitudinal three-wave design. At the between-person level, the effect of neuroticism and social-cognitive vulnerabilities, such as experiential avoidance and intolerance of uncertainty, on depression and anxiety was found to be significant. An indirect effect of neuroticism was observed specifically for anxiety sensitivity and panic. No significant effects emerged at the within-person level. Neuroticism and social-cognitive factors together contribute to depression and anxiety symptoms, while neuroticism’s indirect influence better explains the onset of panic at a stable, between-person level. Theoretical considerations of the results and prospective research implications are discussed.

The looming vulnerability model of anxiety suggests that anxiety arises from a cognitive bias known as the looming cognitive style. This research explored the relationship between this bias, measured by the Looming Maladaptive Style Questionnaire (LMSQ-R), and anxiety across both general ( n = 315) and clinical ( n = 100) samples. Confirmatory factor analysis supported a reliable two-factor higher-order structure for the LMSQ-R. Structural equation modeling showed that while the LMSQ-R significantly predicted anxiety symptoms, this relationship became non-significant when neuroticism was controlled. In the clinical sample, the LMSQ-R initially predicted anxiety, but its effect diminished after accounting for anxiety sensitivity and intolerance of uncertainty. These findings suggest that the LMSQ-R is a psychometrically sound and reliable measure of looming cognitive style, and its predictive power for anxiety should be considered alongside other psychological traits.

Teaching requires sustained emotional effort from educators, and the gap between reality and teachers’ expectations regarding student engagement can negatively affect their psychological well-being. The current research implemented a program to reduce their frustration discomfort. The main objective was to investigate the effectiveness of an intervention program based on the Rational-Emotive Behavioral Therapy (REBT) framework, specifically designed for middle school teachers. A sample of 54 teachers was gathered and conveniently divided into two equal groups: intervention and control. Participants in the intervention group participated in a weekly REBT group intervention program for six weeks, while the control group did not receive any intervention. Evaluations were conducted at four points: pretest, post-test, and follow-up assessments three and seven months after the intervention. Frustration discomfort was the primary dependent variable, while low frustration tolerance as an irrational belief, and pupil control ideology were treated as secondary dependent variables. The results indicated that the intervention effectively reduced frustration discomfort, and this positive effect was maintained during the follow-up assessments.

Ekbom Syndrome, also known as Delusional Parasitosis (DP), is considered a rare psychiatric condition. Based on diagnostic criteria, it is characterized by the strong belief of being infested with various parasites, as well as the presence of perceptual disturbances, usually tactile and/or visual hallucinations. The syndrome can manifest idiopathically or in connection with other medical conditions and substance use. Diagnosis is challenging, as patients tend to pursue dermatological care initially. This case report describes an 81-year-old female diagnosed with Ekbom Syndrome, presenting with severe anxiety, insomnia, and persistent delusions of infestation. Initial treatment with low-dose Risperidone (2 mg/day) was ineffective, requiring a dose escalation to 4 mg/day. However, the patient’s nonadherence to follow-up limited the assessment of long-term outcomes. This case highlights key clinical challenges in elderly patients, particularly dose titration, treatment response, and adherence issues. Comparative analysis with prior case reports suggests that higher doses of Risperidone (3–6 mg/day) may be required for symptom remission, but long-term outcomes remain uncertain. Additionally, nonadherence remains a major barrier, underscoring the need for structured monitoring and caregiver involvement. These findings offer insights into antipsychotic strategies for Ekbom Syndrome, highlighting individualized pharmacotherapy, long-term follow-up, and adherence support in elderly patients.

Background: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral therapy (CBT) demonstrates efficacy for anxiety and depression, treatment gaps persist due to access barriers and insufficient between-session support. Large language model (LLM) chatbots could improve and scale CBT delivery. However, the scientific evaluation of chatbot-enhanced protocols is just emerging. Objective: This pilot study aimed to assess the feasibility, acceptability, and preliminary efficacy of an LLM-based ChatBot as an adjunct to group Unified Protocol (UP) therapy for between-session support in university students with subclinical anxiety and depression symptoms. Methods: A single-arm feasibility trial recruited university students aged 18 years and older with moderate subclinical symptoms (Social Phobia Inventory: 21‐40, Patient Health Questionnaire-9: 5‐14, or Generalized Anxiety Disorder-7: 5‐14), excluding those with current psychiatric disorders, suicidal ideation, or psychotropic medication use. The intervention comprised 4 weekly group UP counseling sessions complemented by an adjunctive Claude 3.7-Sonnet LLM ChatBot programmed with UP-based therapeutic prompts for between-session support rather than a stand-alone therapeutic agent. Primary feasibility outcomes included treatment adherence, chatbot engagement metrics, and system usability (System Usability Scale). Secondary outcomes assessed changes in generalized anxiety (Generalized Anxiety Disorder-7 Scale), social anxiety (Social Phobia Inventory), depression (Patient Health Questionnaire-9), and well-being (Short Warwick-Edinburgh Mental Wellbeing Scale) using paired t tests. Qualitative feedback was collected through focus group interviews and analyzed using thematic analysis. Results: Of 72 screened participants, 37 met eligibility criteria and 19 initiated treatment (mean age 22.06, SD 1.78 years; 70.6% female). Retention was high with 17 completers (10.5% dropout rate). Among completers, 94.1% (16/17) attended ≥3 group sessions. The engagement with the CBT ChatBot was substantial: participants were active on a median of 23 days during the 34-day study period and exchanged a median of 15 messages in total. System usability was rated as excellent (mean 84.94, SD 10.98 out of 100). Pre-to-post comparisons revealed significant improvements in generalized anxiety (mean change −3.00, SD 3.46; t ₁₆ =3.01, P =.004; Cohen d =0.71) and mental well-being (mean change +2.29, SD 3.65; t ₁₆ =−2.17, P =.02; Cohen d =0.69). Social anxiety and depression showed nonsignificant trends toward improvement. Qualitative feedback highlighted the CBT ChatBot’s accessibility and nonjudgmental support while noting limitations in personalization. No adverse events or inappropriate chatbot interactions occurred. Conclusions: Augmenting a group UP therapy with an LLM ChatBot demonstrated high feasibility, acceptability, and preliminary efficacy signals for university students with subclinical symptoms. The hybrid intervention package achieved strong retention and engagement while maintaining safety. These findings support progression to a randomized controlled trial to definitively evaluate this technology-enhanced approach for expanding access to evidence-based mental health interventions.