Integrating W.A.R.A.®, Brain-Switch 2.0®, and ReAttach® in the Treatment of Complex Trauma: An Exploratory Single-Case Report

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.

Early childhood is a critical period for emotional development and behavioral regulation. Increasing digital device use among young children has raised concerns about its association with tantrum behavior, although research examining addiction-related use rather than screen duration alone remains limited. This study aimed to examine the relationship between gadget addiction levels and tantrum behavior among children aged 4–6 years at Widya Santhi Buana Kindergarten, West Denpasar District. A quantitative correlational approach with a cross-sectional design was employed, involving 45 parents or guardians recruited through total sampling. Data were collected on April 15, 2026, through online questionnaires administered using Google Forms. The instruments comprised an adapted Digital Addiction Scale for Children with 25 items, which demonstrated high internal consistency during pilot testing (Cronbach’s α = .977), and the 31-item Rating Scale of Angry Emotional Behavior and Temper Tantrum. Univariate analysis summarized the distributions of gadget addiction levels and tantrum behavior, while Spearman’s rank correlation assessed their relationship. The results showed that 48.9% of children were classified as having moderate gadget addiction levels. Regarding tantrum behavior, 53.3% were classified as exhibiting no tantrum behavior, whereas 22.2% were classified as exhibiting severe tantrum behavior. A strong, positive, and statistically significant correlation was identified between gadget addiction levels and tantrum behavior (ρ = .641, p < .001). Higher parent-reported gadget addiction levels were therefore associated with greater tantrum severity within the participating group. The cross-sectional design and reliance on parent-reported measures limit causal interpretation. These findings may inform parent education concerning supervised device use and consistent family rules. Further research should include larger samples, examine parenting styles and other relevant factors, and use longitudinal designs to clarify the direction of the relationship.

ABSTRACT Introduction Anxiety is central to the psychotherapy process, yet psychotherapists routinely infer a client's anxiety intensity from observable behaviour rather than from formal measurement, with no widely accepted framework to organise which observable markers indicate which levels of anxiety. This exploratory study examined how therapists make such classifications. Method Ninety‐one mental health professionals were randomly assigned to classify 41 text‐described behavioural and physiological markers using either a 5‐level or a simplified 3‐level category system, both derived from an integrated model of state anxiety in psychotherapy. Results Response distributions departed significantly from uniformity for nearly all markers in both formats, and the rank ordering of markers by intensity was highly consistent across formats, suggesting that therapists may share broad intuitions about relative marker intensity. Which markers elicited agreement, however, was far less reproducible, depending substantially on the response format. Convergence also depended on where the agreement criterion was set, declining from 90.2% to 51.2% of markers in the 3‐level format and from 63.4% to 22.0% in the 5‐level format as the criterion rose from > 0.50 to > 0.70. The 3‐level format yielded more classifiable markers at every criterion, although this advantage was not consistent across indices, whereas the 5‐level format elicited fewer ‘Insufficient to Determine’ responses. Markers placed at the highest intensity levels were classified most consistently. Discussion These findings offer preliminary groundwork for research on marker operationalisation, contextualised rating tasks and the development of training materials for psychotherapy process research.

The present study investigated the mediating effect of spiritual wellbeing on the relationship between mindfulness and emotion dysregulation among young adults. The sample N=200 were selected for the present research. A cross-sectional correlational research design was used for the present study. Through the convenience sampling technique, data were gathered by using the Five Facet Mindfulness Questionnaire (FFMQ) by Baer et al. (2006), the Spiritual Well-Being Scale (SWBS) by Paloutzian and Ellison (1982) Difficulties in Emotion Regulation Scale (DERS) by Gratz and Roemer (2004). According to the results, spiritual well-being is positively correlated with mindfulness and its dimensions (observing, describing, acting with awareness, non-judging, non-reactivity). Emotional dysregulation is negatively linked to mindfulness. Mediation analysis showed a significant prediction by mindfulness of spiritual well-being and emotional dysregulation. It was also found that spiritual well-being predicts emotional dysregulation. In addition, spiritual well-being was found to be a mediating factor through which emotional dysregulation and mindfulness are linked. According to the study, interventions aimed at enhancing emotional resilience and well-being in people will be of interest for the mental health section.

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.