Childhood parentification—a role reversal in which children assume caregiving responsibilities for their parents—has emerged as a significant early-life risk factor for adverse mental health outcomes in adulthood. This narrative review synthesizes the literature on the long-term psychological effects of parentification, focusing particularly on adult attachment styles and addiction risk. Drawing from attachment theory, family systems theory, and developmental psychopathology, the paper explores how unmet emotional needs and disrupted caregiving dynamics contribute to insecure attachment patterns, emotion regulation deficits, and the use of maladaptive coping strategies, including substance use and behavioral addictions. Evidence from cross-sectional, longitudinal, and intergenerational studies is presented, highlighting consistent associations between childhood parentification and increased rates of depression, anxiety, personality disorders, and addictive behaviors. Special attention is given to the mediating role of adult attachment insecurity and the intergenerational transmission of caregiving dynamics. Clinical implications include the importance of assessing early family roles in psychotherapy and addiction treatment, with recommendations for attachment-informed interventions. Gaps in the literature are discussed, emphasizing the need for longitudinal research, cultural comparisons, and examination of resilience factors. The review underscores that while parentified children often carry invisible burdens into adulthood, therapeutic insight and targeted interventions may offer pathways to healing and relational growth.

Background and Objectives: This study aimed to examine the severity of misophonia symptoms in individuals diagnosed with obsessive–compulsive disorder (OCD) and to evaluate the pattern of the relationship between misophonia and OCD symptom severity in relation to anxiety sensitivity and mindfulness. Materials and Methods: This comparative and cross-sectional study included 108 patients diagnosed with OCD according to DSM-5 criteria and 81 healthy control subjects without any psychiatric diagnosis. Participants completed the Misophonia Symptom List (MSL), Anxiety Sensitivity Index-3 (ASI-3), Mindful Attention Awareness Scale (MAAS), Yale–Brown Obsessive Compulsive Scale (Y-BOCS), and Beck Anxiety Inventory (BAI). Statistical analyses included group comparisons, Pearson correlations, multiple linear regression, and mediation analyses using the PROCESS macro. Results: MSL scores were significantly higher in the OCD group compared to the control group (104.10 ± 33.00 vs. 87.56 ± 20.07, p < 0.001). ASI-3 (33.53 ± 18.72 vs. 18.12 ± 11.55, p < 0.001) and BAI scores (20.74 ± 13.14 vs. 11.04 ± 8.47, p < 0.001) were higher; MAAS scores were lower (53.23 ± 14.92 vs. 60.72 ± 12.70, p < 0.001). In the OCD group, MSL scores were positively correlated with anxiety sensitivity (r = 0.626, p < 0.001) and Beck anxiety (r = 0.515, p < 0.001) and negatively correlated with MAAS (r = −0.357, p < 0.001). In multiple regression analysis, anxiety sensitivity was identified as the only variable significantly predicting misophonia severity (β = 0.523, p < 0.001). Mediation analyses showed that anxiety sensitivity emerged as the dominant indirect pathway between OCD symptom severity and misophonia, whereas the contribution of mindfulness was not independent of anxiety sensitivity in the serial mediation model. Conclusions: The findings indicate that misophonia symptoms are significantly elevated in individuals diagnosed with OCD and that these symptoms are particularly associated with cognitive-emotional variables such as anxiety sensitivity and mindfulness. Given the cross-sectional design, the mediation findings should be interpreted as indirect associations rather than evidence of causal pathways. Considering these variables may be useful in assessing misophonia symptoms accompanying OCD and planning clinical approaches.

Objective: This study aimed to investigate the relationships between social media addiction, psychological well-being, quality of life, and academic success among medical students. Method: A total of 84 volunteer students aged 18–25 from Çukurova University Faculty of Medicine participated in the study. Participants completed the Bergen Social Media Addiction Scale, Flourishing Scale, WHOQOL-BREF, and Pittsburgh Sleep Quality Index. Academic performance was measured using students' latest clinical rotation scores. Results: A significant and negative relationship was found between social media addiction and overall quality of life, particularly in the psychological and physical domains of the WHOQOL-BREF. While the regression between social media addiction and psychological well-being was not significant, a negative correlation was observed. Academic achievement was significantly and negatively predicted only by the environmental quality of life domain. No other significant gender differences were found except for clinical performance scores, which were higher among female students. Conclusion: Social media addiction appears to negatively impact the psychological and physical aspects of quality of life among medical students. Although its effect on academic performance and psychological well-being is less direct, the findings suggest that the nature and quality of social media engagement may be critical to students' overall functioning.

Objective: The aim of this study was to qualitatively evaluate the psychosocial characteristics, triggering factors, and help-seeking behaviors of individuals who attempted suicide and to identify patterns that could inform clinical interventions. Method: The sample of our study, which was designed as a retrospective thematic qualitative analysis, consists of 20 people with suicide attempt or suicidal ideation. The past records of all patients admitted to the university hospital who had attempted suicide or reported suicidal ideation were analyzed. Structured consultation records in the hospital electronic system were used in the analyses. Sociodemographic information, attempt triggers, method of attempt, psychiatric history and mental examination findings were analysed and manually coded according to Braun and Clarke's thematic analysis steps. Results: Four main themes were identified: (1) triggering after interpersonal conflict, (2) accumulated stress and helplessness, (3) planned attempts and impulsive attempts, and (4) help seeking behaviour. Suicide attempts usually developed impulsively after sudden conflicts and regret and help-seeking behaviour were frequently observed. In a small number of individuals, attempts were planned, related to chronic family/economic problems and more determined. In older individuals, themes of loneliness, worthlessness and being a burden were prominent. Some patients described the suicide attempt as a ‘final exit’ or ‘honourable withdrawal’. Conclusion: Suicide attempts occur with different triggers and emotional dynamics from person to person. Therefore, sociodemographic characteristics and the presence of mental illness should be taken into account in clinical assessment and interventions; especially social support, crisis management and referral to psychiatric treatment should be individualised.

Background: Intermittent Explosive Disorder (IED) is an impulse-control disorder characterized by the inability to control emotions and behaviors, resulting in behaviors that violate social norms and the rights of others. The IED Screening Questionnaire (IED-SQ) is a valuable tool that can quickly identify the presence of IED in adults by Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) criteria. This study evaluated a form of the IED-SQ that had been translated into Turkish, and investigated the reliability and validity of the Turkish version of the IED-SQ. Methods: Seventy-one adult IED patients and 68 adult controls participated. The Barratt Impulsivity Scale (BIS-11), Minnesota Impulse Control Disorder Interview Scale (MIDI), Buss Perry Aggression Questionnaire (BPAQ), Symptom Checklist 90-Revised (SCL-90-R), Wender Utah Rating Scale (WURS), and IED-SQ were administered to the participants. Results: The Cronbach’s α coefficient of the IED-SQ was 0.74. The subscales of the BPAQ, including physical aggression, verbal aggression, hostility, and anger, along with the attention and non-planning impulsivity subscales of the BIS-11, were incorporated into the multivariate analysis to identify factors independently associated with the IED-SQ. According to the model, the correct classification percentage was found to be 95%. Conclusions: This study demonstrated that the Turkish version of the IED-SQ is valid and reliable and can be used in clinical practices to identify the presence of IED.