Discover mental health最新文献

Background: Anxiety and depressive symptoms are common in elite sports but remain understudied in female professional beach volleyball. Unique stressors including financial insecurity, dyadic team structures, and public visibility may increase vulnerability to mental health issues.

Objective: The aim of this study was to assess the prevalence and severity of anxiety and depressive symptoms among female professional beach volleyball players and to investigate potential influencing factors such as training volume, financial security, and perceived social support.

Methods: This cross-sectional study included 52 professional female beach volleyball players ranked within the top 200 of the world ranking (mean age 26.14 ± 4.70 years) from German-speaking countries, the United States, and Canada. Data were collected using standardized self-report instruments, including the State Trait Anxiety Inventory Trait version (STAI-T) and the Beck Depression Inventory II (BDI-II). Additionally, psychosocial and structural stressors such as financial uncertainty, interpersonal team dynamics, and support from coaches and teammates were assessed. Descriptive statistics, correlation analyses, and multiple regression analyses were conducted to identify significant associations.

Results: In total, 67.3% (n = 35) of athletes exceeded the clinical cut-off score for trait anxiety (STAI-T ≥ 44), and 71.2% (n = 37) reported depressive symptoms above the clinical threshold (BDI-II ≥ 14). Trait anxiety and depressive symptoms were strongly correlated (r = 0.777, p < 0.001). Higher training volume correlated with more severe depressive symptoms (r = 0.450, p <0 .001), and several sport-related factors showed significant correlations with trait anxiety (all p < 0.05). Multiple regression identified poor team communication (p < 0.001) and financial insecurity (p = 0.026) as significant predictors of psychological burden, whereas international ranking showed no association with either anxiety or depression.

Conclusions: Elite female beach volleyball players exhibit high rates of clinically relevant anxiety and depressive symptoms. Psychosocial stressors, structural insecurities and subjective success perceptions, rather than objective competitive success, appear to be key contributors. These findings underscore the need for targeted sport-psychological support, financial stabilization, and long-term preventive strategies tailored to the unique demands of elite beach volleyball.

Background: In a post-genocide context, mental health disorders among Rwandan genocide survivors and released perpetrators remain a critical concern. To date, no study has evaluated the effectiveness of the Community Resiliency Model (CRM) skills in addressing the mental health needs of both groups simultaneously. This study assessed the impact of CRM when delivered to a combined group of survivors and perpetrators, compared to groups trained separately.

Methods: A total of 152 participants were recruited from Nyamagabe district, Rwanda. Participants were assigned into three groups including genocide survivors (n = 51), released genocide perpetrators (n = 51), and a combined group of both survivors and perpetrators (n = 50). Data were collected at three points: pre-intervention, immediately post-intervention, and six months post-intervention using validated psychometric scales for anxiety, depression, posttraumatic stress disorder (PTSD), emotional dysregulation, and anger. Repeated measures ANOVA and Bonferroni post hoc tests were used to analyze changes over time. A statistical significance of p < 0.005 and p < 0.001 was applied.

Results: Our findings showed significant reduction of anxiety (F = 20.17, p < 0.001), depression (F = 37.03, p < 0.001), anger (F = 95.97, p < 0.001), and emotional dysregulation (F = 76.68, p < 0.001) across all groups of participants. These positive changes were sustained at 6 months post-intervention for anxiety, depression, anger, and emotional dysregulation. In contrast, PTSD symptoms only showed a slight, non-significant reduction over time (F = 0.59, p = 0.44). Additionally, there were no significant differences in outcomes between groups that received the intervention separately (survivor-only or perpetrator only) and those that received it in mixed survivor-perpetrator groups.

Conclusion: Although the CRM intervention does not replace psychotherapy, it produced lasting and positive effects on mental health symptoms among both genocide survivors and perpetrators, particularly in reducing anxiety, depression, and emotional dysregulation. Importantly, outcomes did not differ whether the intervention was delivered to separate or combined groups. A randomized controlled trial is recommended to further evaluate the long-term effects of CRM on community healing and cohesion.

This paper explores the methodological and ethical challenges encountered by an early career researcher investigating youth suicidality in Nepal. The study highlights the profound emotional and ethical complexities of researching such a sensitive topic. Key challenges include maintaining confidentiality, navigating cultural sensitivities, and balancing ethical protocols with the immediate needs of participants. The research underscores the importance of cultural sensitivity in addressing suicidality in a context where mental health issues are often stigmatized. It also emphasizes the ethical dilemma of breaching confidentiality, especially when participants' distress involves family issues. Through reflections on personal experiences and insights gained, the paper calls for stringent protocols and the necessity of guidance from experienced researchers and mental health professionals. The findings reveal the significant gaps in methodological and ethical understanding, highlighting the need for further exploration in this critical area of research.

Social media behavior is a promising source of early indicators for psychological distress; however, predictive models often lack transparency, limiting their adoption in mental health settings. This paper describes an explainable machine learning framework for predicting self-reported depression risk based on behavioral features collected from 481 anonymized social media users. Three supervised learning models were tested using a nested 5 × 5 cross-validation strategy, with Random Forest yielding the strongest performance (accuracy = 84.2%, AUC = 0.88). Model calibration analysis using reliability curves and Expected Calibration Error (ECE) demonstrated that Random Forest provides well-calibrated probability estimates suitable for binary High/Low risk assessment. Explainability was integrated using SHAP to identify key behavioral markers, including screen time, passive scrolling, nighttime usage, and stress-driven engagement. Stability testing across multiple random seeds revealed consistent feature ranking patterns, supporting the reliability of the explanations. To showcase real-world applicability, we outline a prototype XAI-driven digital intervention workflow and present a simulation across representative user profiles, illustrating how interpreted model outputs can inform personalized behavioral recommendations. However, generalizability is limited by a moderately sized dataset reliant on self-reported measures and cross-sectional design. Future work will integrate multimodal behavioral signals, larger cohorts, and clinically validated mental-health assessments. Overall, the study presents a more transparent, computationally grounded approach for interpretable depression-risk prediction from social media behavior, bridging the gap between predictive performance and practical explainability.

Respect and integrity are fundamental to effective psychiatric care, yet patient experiences of poor treatment remain a significant concern. This study explores patient perspectives on mistreatment within Swedish adult psychiatry through focus group interviews with representatives of patient and family organizations. Participants described systemic and interpersonal challenges that contribute to inadequate care, identifying four main themes: inaccessibility of psychiatric services, lack of collaboration between patients and healthcare providers, absence of a holistic perspective on patients, and a stark power imbalance between vulnerable individuals and an authoritative psychiatric system. Structural barriers, including long wait times and limited treatment options, were perceived as forms of neglect, leaving patients struggling to access necessary care. Patients frequently felt excluded from decision-making, as their lived experiences were often dismissed in favor of standardized treatment protocols. This lack of recognition was further compounded by epistemic injustice, where patients' accounts were deemed unreliable due to prevailing biases against psychiatric populations. Participants emphasized the emotional toll of dismissive encounters, with many patients reporting feelings of helplessness, mistrust, and self-doubt. The study highlights the urgent need for reforms that prioritize respect, collaboration, and patient-centered care in psychiatric settings. Addressing these concerns requires systemic changes to reduce barriers to care, improve communication, and ensure that psychiatric patients are treated as credible, autonomous individuals. By acknowledging patient perspectives, psychiatric care can foster greater trust, improve adherence to treatment, and ultimately enhance mental health outcomes.