Adolescents' Well-being While Using a Mobile Artificial Intelligence-Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal Study

Outcomes of adverse childhood experience during late adolescence: Evidence from college and community samples

Scant studies have investigated adverse childhood experience (ACE) outcomes and mastery during adolescence in different cultural contexts. This cross-sectional study examines the impact of ACEs on subjective well-being, health complaints, and healthcare utilization during late adolescence, including the mediating role of the sense of mastery in the Saudi context. Adolescents (N = 396) aged 17-21 years were recruited via convenience sampling from colleges and local communities from two regions in Saudi Arabia. Data were collected using a paper-pencil anonymous survey and analyzed using path analysis. Of the sample, 85.5% experienced at least one ACE. ACEs had a direct effect on subjective well-being (p = 0.034), health complaints (p < 0.001), healthcare utilization (p < 0.001), and sense of mastery (p < 0.001). Sense of mastery had an effect on subjective well-being (p < 0.001) and health complaints (p < 0.001), but not on healthcare utilization (p = 0.436). Sense of mastery partially mediated the relationship between ACEs and subjective well-being (p = 0.034) and health complaints (p < 0.001), but not healthcare utilization (p = 0.438). ACEs have detrimental effects on adolescent health. Attention should be paid to primary prevention and early detection to avoid further harm, and interventions that address the role of the sense of mastery should be developed for adolescents.

Smartphone use and its association with body image distortion and weight loss behaviours among adolescents in Saudi Arabia

BACKGROUND

Concerns about the harmful effects of smartphone use on teenage development have been raised as the use of cell phones among adolescents has risen.

OBJECTIVE

This study aimed to examine the associations of smartphone usage patterns with Body Image Distortion (BID) and weight loss behaviors among adolescent smartphone users in Saudi Arabia.

METHODS

This population-based, cross-sectional study was conducted from July to October 2022. We assessed the mean daily length of smartphone use and classified it into quartiles using data from a self-reported survey and data on weekday and weekend use. Self-reported body weight and height were collected via an online survey. Out of the 11384 adolescents, the majority was females (65.7%) and was secondary school students (68.9%).

RESULTS

The prolonged smartphone use (301 min/d) was found in 36.4% of adolescents, 181-300 min/d in 27.6% of respondents, 121-180 min/d in 22.4% of respondents, while the modest smartphone use (1-120 min/d) was found only in 13.6% of participants. The duration of smartphone use was significantly associated with BID (P= 0.000); students with middle perceived stress levels (51.4%) and no depressive symptoms (68.9%) used smartphones 121-180 min/d sparingly. However, prolonged smartphone use was significantly associated with the presence of depressive symptoms (42.6%) and high perceived stress levels (21.5%). Weight loss behaviors were significantly associated with smartphone use duration. Modest smartphone use was significantly found in students with normal weight (P= 0.00, 71.9%); however, aerobic physical activity weight loss strategy (P= 0.00, 30.9%) was correlated with prolonged smartphone use.

CONCLUSION

Adequate parental advice is required to assist teenagers in developing healthy smartphone usage practices. Digital platform companies may increase their social responsibility for the information generated and delivered on their networks, boosting its beneficial effect.

Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being

Conversational artificial intelligence (AI), particularly AI-based conversational agents (CAs), is gaining traction in mental health care. Despite their growing usage, there is a scarcity of comprehensive evaluations of their impact on mental health and well-being. This systematic review and meta-analysis aims to fill this gap by synthesizing evidence on the effectiveness of AI-based CAs in improving mental health and factors influencing their effectiveness and user experience. Twelve databases were searched for experimental studies of AI-based CAs' effects on mental illnesses and psychological well-being published before May 26, 2023. Out of 7834 records, 35 eligible studies were identified for systematic review, out of which 15 randomized controlled trials were included for meta-analysis. The meta-analysis revealed that AI-based CAs significantly reduce symptoms of depression (Hedge's g 0.64 [95% CI 0.17-1.12]) and distress (Hedge's g 0.7 [95% CI 0.18-1.22]). These effects were more pronounced in CAs that are multimodal, generative AI-based, integrated with mobile/instant messaging apps, and targeting clinical/subclinical and elderly populations. However, CA-based interventions showed no significant improvement in overall psychological well-being (Hedge's g 0.32 [95% CI -0.13 to 0.78]). User experience with AI-based CAs was largely shaped by the quality of human-AI therapeutic relationships, content engagement, and effective communication. These findings underscore the potential of AI-based CAs in addressing mental health issues. Future research should investigate the underlying mechanisms of their effectiveness, assess long-term effects across various mental health outcomes, and evaluate the safe integration of large language models (LLMs) in mental health care.

Digitally Assisted Mindfulness in Training Self-Regulation Skills for Sustainable Mental Health: A Systematic Review

The onset of the COVID-19 pandemic has led to an increased demand for mental health interventions, with a special focus on digitally assisted ones. Self-regulation describes a set of meta-skills that enable one to take control over his/her mental health and it is recognized as a vital indicator of well-being. Mindfulness training is a promising training strategy for promoting self-regulation, behavioral change, and mental well-being. A growing body of research outlines that smart technologies are ready to revolutionize the way mental health training programs take place. Artificial intelligence (AI); extended reality (XR) including virtual reality (VR), augmented reality (AR), and mixed reality (MR); as well as the advancements in brain computer interfaces (BCIs) are ready to transform these mental health training programs. Mindfulness-based interventions assisted by smart technologies for mental, emotional, and behavioral regulation seem to be a crucial yet under-investigated issue. The current systematic review paper aims to explore whether and how smart technologies can assist mindfulness training for the development of self-regulation skills among people at risk of mental health issues as well as populations with various clinical characteristics. The PRISMA 2020 methodology was utilized to respond to the objectives and research questions using a total of sixty-six experimental studies that met the inclusion criteria. The results showed that digitally assisted mindfulness interventions supported by smart technologies, including AI-based applications, chatbots, virtual coaches, immersive technologies, and brain-sensing headbands, can effectively assist trainees in developing a wide range of cognitive, emotional, and behavioral self-regulation skills, leading to a greater satisfaction of their psychological needs, and thus mental wellness. These results may provide positive feedback for developing smarter and more inclusive training environments, with a special focus on people with special training needs or disabilities.