Effectiveness of Suicide Prevention Interventions: A Systematic Review and Meta-Analysis

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

Mental health services are constantly evolving with the gradual introduction of functionalized care, which means medical intervention has become more focused on a particular clinical area or stage of the illness. This has progressed to having designated teams for inpatient psychiatry. Usually, psychiatrists manage their patients both in outpatient and inpatient settings while working in a particular geographical area or sector. Moving away from this model to a functionalized inpatient setting, where other psychiatrists take care of their patients, is seen as a breach in continuity of care. In this context, it was intended to review the current literature for the experience of clinicians and patients in these sectorized (medical continuity) or functionalized models of psychiatric inpatient care. A narrative review of the current literature from multiple databases was conducted. The results suggested that there are positive and negative observations in both models. It appeared that neither met the expectations of patients nor clinicians. Patients preferred to be seen by the same consultant in community and inpatient settings, but clinical outcomes were not significantly different in the two models. The functionalized care was mostly medical continuity rather than multidisciplinary. Any changes in the care models may be driven by local facilities and issues. There is a need to improve the quality of care through existing models before any changes. More studies are needed to improve the evidence on the effectiveness of these service models.