Artificial Intelligence in Mental Health Support: Opportunities, Applications, and Ethical Challenges

Generation Alpha (born 2010-2024) and Generation Beta (born 2025-2039) represent an unprecedented developmental archetype defined by total digital integration and ubiquitous artificial intelligence (AI). This empirical study evaluated specialized psychological adaptation mechanisms, parenting models, and mental health intervention frameworks across these cohorts. Utilizing a mixed-methods design, quantitative data were gathered from $N = 300$ parents (Gen Alpha parents and expectant/early Gen Beta parents) using the Modified Parental Stress Scale (PSS) and Child Behavior Checklist (CBCL), supplemented by qualitative interviews with $N = 20$ pediatric mental health experts. Independent samples $t$-tests confirmed that Gen Alpha/Beta display significantly higher digital dependency anxiety ($M = 38.60, p < .001$) alongside superior visual-spatial intelligence ($M = 44.10, p < .001$) relative to normative baselines. Crucially, a proactive "Digital Integration" co-navigation parenting framework yielded significantly lower parental stress ($M = 29.50$) compared to rigid "Digital Detox" restriction models ($M = 42.80, p < .001$). A preventive clinical framework focusing on Social-Emotional Learning (SEL) and cognitive impulse management is proposed.

This study examined the association between intolerance of uncertainty and psychological distress among emerging adults aged 18-29 years. A quantitative, cross-sectional correlational design was used with online convenience sampling. Of 181 survey submissions, one record was excluded because age was missing and one because the respondent was aged 17 years; a further 18 respondents who reported a previous mental-health diagnosis were excluded. The final analytical sample comprised 161 participants (M age = 23.60, SD = 3.09; 67.1% women). Intolerance of uncertainty was measured with the 12-item Intolerance of Uncertainty Scale (IUS-12), and nonspecific psychological distress with the Kessler Psychological Distress Scale (K10). Mean IUS-12 and K10 scores were 32.11 (SD = 9.44) and 24.31 (SD = 8.09), respectively. Internal consistency estimates were .887 and .913. Pearson's correlation indicated a positive association between IUS-12 and K10 scores, r(159) = .632, p < .001, 95% CI [.529, .717]. Spearman's correlation was also positive and significant (rs = .595, p < .001, 95% bootstrap CI [.475, .699]). Higher intolerance of uncertainty was associated with greater self-reported psychological distress in this sample. The cross-sectional design, convenience sampling, self-report measures, and diagnosis-based screening limit causal inference and generalisability.

Background and Purpose: Non-suicidal self-injury (NSSI) is a global concern in adolescent mental health. Rural boarding middle school students, as a unique and vulnerable population, remain understudied regarding the potential heterogeneity and longitudinal trajectories of NSSI. This study aimed to identify latent classes of NSSI among this group, examine their transition patterns over time, and evaluate the effectiveness of an emotion management group intervention. Methods: Study 1 cross-sectionally surveyed 927 adolescents; we split samples into non-NSSI and NSSI subgroups and ran latent profile analysis (LPA) only among participants with NSSI ( n =285). Study 2 conducted a 6-month follow-up of 550 participants and applied latent transition analysis (LTA) to examine class shifts and predictive factors. Study 3 was a randomized controlled trial in which 30 students from the High-NSSI received an 8-week emotion-management group intervention. Intervention effects were evaluated using repeated-measures ANCOVA with demographic covariates. Results: Within the NSSI subgroup ( n = 285), two classes were identified: a High-NSSI class ( n = 21, 7.4%) and a Low-NSSI class ( n = 264, 92.6%). Poor sleep quality and bullying victimization independently predicted High-NSSI membership. Longitudinal analysis revealed high stability in the Low-NSSI class (91%) and high fluidity in the High-NSSI class (83% transitioning to low-risk). The emotion-management intervention significantly reduced both NSSI frequency and negative affect. Discussion: These findings demonstrate that clinically meaningful NSSI subtypes exist among rural boarding adolescents and that sleep quality and bullying are key modifiable risk factors. The results support a stepped-care approach in school settings, where the High-NSSI class requires intensive intervention and the Low-NSSI class may benefit from less intensive, universal supports. The emotion-management group intervention is an effective school-based program for the most severe NSSI subtype. Keywords: non-suicidal self-injury, latent profile analysis, latent transition analysis, emotion management, group intervention

Psychotherapy is supported by evidence across several psychological conditions, yet its value cannot be understood solely through symptom change. This thematic integrative review examines psychotherapy as both an intervention and a relational setting in which psychological safety, trust, collaboration, and self-understanding may support change. Literature discussed in the source synopsis is organized around three themes: psychotherapy outcomes across mood, anxiety, trauma-related, and personality difficulties; the therapeutic alliance and safety; and adapted, neurodiversity-affirming support for autistic people. Meta-analytic and theoretical literature generally supports psychotherapy effectiveness, while alliance research identifies the therapeutic relationship as a robust correlate of outcomes. Work on autistic youth suggests that adapted interventions can be beneficial, although outcomes and methods vary. Across these areas, the review identifies a need to connect clinical outcomes with clients? lived experience of safety, identity, accessibility, and agency. The review is integrative rather than systematic: the source material does not document reproducible database searches, screening counts, or formal quality appraisal. Accordingly, conclusions are interpretive and should not be treated as a comprehensive estimate of treatment effects. The paper argues for therapeutic spaces that combine evidence-informed care with collaborative, individualized, and affirming relationships.