Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Mental health concerns, particularly depression, anxiety, and loneliness, are prevalent among university students, with financial stress further compounding these issues. This study investigates the efficacy of a CBT-based AI chatbot in improving the well-being of financially stressed university students. Objective: This study investigates the efficacy of a CBT-based AI chatbot in improving the well-being of financially stressed university students. Methods: In this randomized controlled trial, 100 university students aged 18-24 years were randomly allocated to an intervention (n=50) or waitlist control group (n=50). The intervention group interacted with a CBT-based AI chatbot for seven consecutive days, receiving personalized support and coping strategies to alleviate psychological distress. Anxiety, depression, and loneliness were assessed at baseline, Day 3, and Day 7 using the Generalized Anxiety Disorder 7-item (GAD-7), Centre for Epidemiologic Studies Depression (CES-D), and UCLA Loneliness Scale. Results: Compared to controls, the intervention group showed significant reductions in depression (F = 8.48, p < .001) and loneliness (F = 4.69, p = .011) at Day 7 relative to baseline. GAD-7 scores did not show significant changes. The chatbot's effectiveness was moderated by financial stress, with participants with high baseline financial stress (PIFS scores above the median) demonstrating greater improvements in CES-D (F = 11.56, p < .001) and UCLA Loneliness scores (F = 11.18, p < .001) compared to those with low financial stress. Conclusions: The CBT-based AI chatbot effectively reduced depression and loneliness in financially stressed university students. AI-driven interventions show promise in improving student mental health, especially for those facing financial hardship.

Active and avoidant coping styles are important dispositional factors in the development of anxiety and depression symptoms. Children use both active and avoidant coping strategies together in daily life. No studies have investigated the relationship between active–avoidant coping profiles and internalizing symptoms in children. The present study aimed to investigate children’s active–avoidant coping profiles and assess the relationship that active–avoidant coping profiles have with anxiety and depression symptoms. A two-wave longitudinal study was conducted among 322 Chinese children in the People’s Republic of China during the COVID-19 pandemic. Participants completed the Children’s Coping Strategies Checklist-Revised 1 at Time 1 and the Revised Child Anxiety and Depression Scale at Time 1 and 6 months later (Time 2). Four active–avoidant coping profiles were revealed: low active copers, high active copers, balanced copers, and avoidant copers. Low and high active copers had lower levels of anxiety and depression symptoms than balanced copers and avoidant copers. Avoidant copers showed a larger decrease in depression symptoms than balanced copers and high active copers during the COVID-19 pandemic. It is important to improve children’s active–avoidant coping profiles to relieve anxiety and depression symptoms.

Background: It is unknown how the patterns of negative and positive attentional biases in children predict fear of COVID-19, anxiety symptoms, and depression symptoms during the COVID-19 pandemic. The study identified profiles of negative and positive attentional biases in children and examined their association with emotional symptoms during the COVID-19 pandemic. Method: 264 children (girls: 53.8% and boys: 46.2%) of 9–10 years born in Hong Kong or mainland China from a primary school in Shenzhen, People’s Republic of China were involved in a two-wave longitudinal study. Children completed the COVID-19 Fear Scale, the Revised Child Anxiety and Depression Scale, and the Attention to Positive and Negative Information Scale to measure fear of COVID-19, anxiety and depression symptoms, and negative and positive attentional biases in classrooms. After six months, they completed the second assessment of fear of COVID-19, anxiety symptoms, and depression symptoms in classrooms. Latent profile analysis was conducted to reveal distinct profiles of attentional biases in children. A series of repeated MANOVA was performed to examine the association of profiles of attentional biases to fear of COVID-19, anxiety symptoms, and depression symptoms across 6 months. Results: Three profiles of negative and positive attentional biases were revealed in children. Children with a “moderate positive and high negative attentional biases” profile had significantly higher fear of the COVID-19 pandemic, anxiety symptoms, and depression symptoms than children with a “high positive and moderate negative attentional biases” profile. Children with a “low positive and negative attentional biases” profile were not significantly different in fear of COVID-19, anxiety symptoms, and depression symptoms than those with the other two profiles. Conclusions: Patterns of negative and positive attentional biases were related to emotional symptoms during the COVID-19 pandemic. It might be important to consider children's overall patterns of negative and positive attentional biases to identify children at risk of higher emotional symptoms.

COVID-19 pandemic is a public health emergency with potential traumatizing effects on children. However, not many studies have been devoted to investigating the association between fear of COVID-19 and post-traumatic stress symptoms (PTSS) in children during the pandemic. Also, if the association is modulated by cognitive tendencies to focus on negative and positive information in children is unknown. The study recruited 122 native Chinese children from a primary school in mainland China. Self-reported psychological inventories were used to assess the above variables. The prevalence rate of PTSS in Chinese children was approximately 15.1%. Girls had higher post-traumatic stress levels than boys. Fear of COVID-19 was associated with higher level of post-traumatic stress in children. Only cognitive tendency to focus on negative information was significantly associated with the level of post-traumatic stress in children. Moreover, cognitive tendency to focus on negative information was a significant moderator of the relationship between fear of COVID-19 and PTSS. Generalization of the results to adults should be cautious. It was concluded that stronger fear of COVID-19 was related to more PTSS in children. The association of fear of COVID-19 with PTSS was significant only for children with strong tendency to focus on negative information. Cognitive interventions for PTSS may need to be delivered to children who have both strong fear of COVID-19 and strong tendency to focus on negative information.

The study investigated how active and avoidant coping styles predicted the trajectory membership of anxiety symptoms during the transition into early adolescence. A total of 321 Chinese children aged 9 to 10 years were recruited from a primary school in mainland China. Self‐reported trait anxiety, coping styles and anxiety symptoms were assessed at baseline. After 6 months, self‐reported anxiety symptoms were measured at three follow‐up assessments with an interval of 6 months. Latent class growth modelling revealed high (18.7%) and low (81.3%) trajectories of anxiety symptoms in children during the transition into early adolescence. After controlling for trait anxiety, depression and sex, high active coping style predicted the trajectory of high anxiety symptoms, which was not moderated by trait anxiety. Before controlling for these covariates, the relation between active coping style and anxiety symptoms was in the opposite direction. A high avoidant coping style showed a trend to predict the trajectory of high anxiety symptoms only for children with low trait anxiety. These findings add a developmental context to the relationships of active and avoidant coping styles to anxiety symptoms and suggest that trait anxiety may moderate these relationships.