This cross-sectional study identified mental health profiles among Brazilian adolescents and examined their associations with domain-specific physical activity (leisure time, school, and active commuting) and television (TV) viewing time. Data were obtained from 144,046 adolescents in the 2019 Brazilian National Survey of School Health (PeNSE, acronym in Portuguese). Self-reported indicators included the frequency of five emotional states, weekly minutes of physical activity in leisure time, physical education, and commuting, and daily TV hours. Latent class analysis classified adolescents based on their mental health profiles, and multinomial logistic regression estimated associations between physical activity domains and TV viewing time with mental health classes, adjusting for covariates. Six mental health profiles were identified: (1) school-related concern; (2) anxious and stressed; (3) subthreshold internalizing; (4) anxious, sad, and angry; (5) low symptom; (6) severe internalizing. Adolescents who engaged in physical activity in their leisure time and at school were more likely to belong to the low symptom class, while those who engaged in physical activity during commuting were more likely to be in class 6 (severe internalizing). Adolescents who watched two to four hours of TV per day were more likely to belong to class 1 (school-related concern), class 4 (anxious, sad, and angry), and class 5 (low symptom), whereas those who watched TV more than four hours/day were less likely to belong to class 3 (subthreshold internalizing) and class 6 (severe internalizing). These findings underscore that both the context and quantity of physical activity and TV time are differentially related to adolescent mental health profiles, implying the need for targeted surveillance and interventions.

This study analyzed compassion fatigue, compassion satisfaction, and burnout levels in firefighters who work in disasters and examined their association with socio-occupational characteristics. This mixed and convergent parallel study was carried out with 555 Brazilian firefighters. In its quantitative stage, participants answered a socio-occupational questionnaire and the Professional Quality of Life Scale. The findings were subjected to descriptive and inferential statistics. In its qualitative stage, 66 firefighters were interviewed. The results underwent Thematic Analysis, the inferences of which were sequentially analyzed. Participants had higher compassion satisfaction scores, followed by burnout and secondary traumatic stress scores. Integrating these findings shows how socio-occupational characteristics and work in disaster contexts are related to these phenomena, highlighting the importance of recognizing the profile and the multiple factors that can negatively impact the mental health of professionals and/or strengthen preventive strategies for compassion fatigue.

to understand the access of people experiencing homelessness to mental health services within the Psychosocial Care Network in a municipality in the interior of São Paulo State.

a qualitative study based on Alfred Schutz's phenomenological sociology, involving interviews with 21 individuals experiencing homelessness conducted in July 2024. The analysis revealed two categories: "Experiences of people experiencing homelessness in accessing the Psychosocial Care Network" and "Expectations in light of lived experiences".

mobility between points of care within the network is driven by barriers in mental health care, while the presence of the Street Outreach Clinic facilitates access. Both continuity and discontinuity in care were observed, linked to experiences of welcoming as well as discrimination. Expectations include equal and universal access to care.

access, marked by vulnerability, inadequate support, discrimination, and tension due to care disruption, demands welcoming practices, improved service quality, and professional training.

Carbon-based nanomaterials (CNMs) have generated intense research interest owing to their exceptional physicochemical versatility and broad biomedical potential. However, despite two decades of rapid innovation, the clinical translation of CNMs remains strikingly limited, owing to a persistent mismatch between performance-driven material innovation and predictability-driven clinical and regulatory demands-an enduring clinical translation paradox that urgently requires systematic resolution. This review examines four representative CNM classes-carbon dots, carbon nanotubes, carbon nanofibers, and graphene-family nanomaterials-and systematically analyzes their structure-function relationships, translational status, and clinical positioning within a four-stage framework encompassing material rational design and engineering, preclinical evaluation, clinical translation strategy, and clinical applications with post-market surveillance. We identify three interrelated, system-level bottlenecks that underpin this translational stagnation: (1) immunogenicity and long-term biosafety, (2) biodegradation and metabolic clearance, and (3) challenges in large-scale manufacturing and chemistry, manufacturing, and control consistency. Collectively, these challenges reveal a structural mismatch between performance-driven nanomaterial innovation and predictability-driven regulatory evaluation. To address this translational paradox, we discuss emerging strategies, including the development of degradable carbon frameworks, AI-assisted material optimization, and closer integration of materials science with lifecycle-based regulatory science. By reframing CNMs translation as a problem of system-level alignment rather than incremental performance enhancement, this review outlines a practical roadmap toward safe, reproducible, and clinically actionable carbon-based nanotechnologies.

Post-traumatic stress disorder (PTSD) is a mental disorder that develops following exposure to highly stressful, frightening, or distressing events. We present the case of a 54-year-old man who had experienced PTSD symptoms for 27 years and remained untreated until admission to our hospital. He presented with hypervigilance, insomnia, nightmares, flashbacks, and marked irritability. This case report highlights the potential role of hypnotherapy as an adjunctive treatment for PTSD, although it is not considered a first-line intervention.

Disproportionately high mortality rates from opioid overdose among adolescents have emerged as a major public health concern in the United States (U.S.). Among available interventions, naloxone, an opioid receptor antagonist, continues to be recognized for its effectiveness in reversing opioid overdose. However, access to naloxone among adolescents remains scarce, underscoring potential gaps in overdose prevention for this population.

This narrative review examines current literature to identify barriers and facilitators that influence naloxone availability and uptake among adolescents. The review includes young adult (up to age 30) data when it overlaps with adolescent literature. The review followed the SANRA checklist criteria and utilized the Cochrane, MEDLINE-PubMed, and Google Scholar databases for relevant studies from 2012-2026.

Barriers to naloxone access are multifactorial, including cost-related constraints, inconsistent implementation of over-the-counter dispensing practices, limited awareness of dispensing policies, and stigma towards people who use drugs. Structural and individual factors found to assist in the facilitation of naloxone access include policy changes enabling non-prescription dispensing, pharmacy standing orders, and laws that permit independent minor consent for substance use treatment. However, disparities in naloxone availability and use persist, and implementation of such policies is inconsistent across settings.

Accordingly, legislation that promotes naloxone availability and educational initiatives designed to increase knowledge and acceptance of its use in diverse settings may be important, as evidence supports its association with reduced overdose mortality. Additional efforts are warranted to improve naloxone availability and use among adolescents, including expansion of clinician prescribing practices, reduction of costs at the point-of-dispense, and greater distribution of the medication for patients leaving treatment facilities.

Perinatal loss is common, but little is known about its impact on partners during the grieving process. This study examined psychological outcomes and coping strategies among recently bereaved partners (≤6 months post-loss; N = 73) at baseline (T1) and six-month follow-up (T2) via online survey. Participants were predominantly male (78%) and typically aged 25-44 (90%), and had experienced a range of perinatal losses (<20 weeks' gestation to 28 days of life). Grief and depression symptoms were assessed using the Perinatal Grief Scale (PGS) and PHQ-9 respectively, and multivariate regression analyses examined the role of coping styles, demographic characteristics, and loss-related factors. Participants reported varying levels of grief and depression symptoms, with 38% displaying moderate-to-severe depression symptoms at follow-up. Across the cohort, participants reported using a range of coping strategies; however, avoidant coping was uniquely associated with higher grief and depression scores at baseline (PHQ-9: β = .30, p = .007; PGS: β = .49, p <.001). Avoidant coping also predicted poorer grief and depression outcomes at follow-up, although these relationships were no longer significant after controlling for baseline symptoms. Additionally, stillbirth, female gender, and younger age were associated with greater psychological distress at baseline across outcomes (β = .21-.32, p ≤.05). Associations between gender, stillbirth, and psychological outcomes remained at follow-up, although these did not reach conventional levels of statistical significance (β = .24-.40, p ≤.073). These findings highlight the psychological impact of perinatal loss on partners and underscore the importance of improving access to support for this group. Avoidant coping may represent a key target for intervention. Future research should further investigate factors influencing grief trajectories and identify effective forms of support for bereaved partners.

Burnout, an occupational phenomenon resulting from chronic workplace stress that has not been successfully managed, is increasingly recognized as a critical threat to the mental health of healthcare professionals. Prolonged exposure to work-related stressors may increase the risk of suicidality, including suicidal ideation, suicide attempts, and suicide deaths. This systematic review aimed to synthesize existing evidence on the association between burnout and suicidality in healthcare professionals and to identify vulnerable subgroups and intervention priorities.

We conducted a systematic review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines (PROSPERO registration: CRD420251037488). PubMed, Scopus, Web of Science, and PsycINFO were searched for studies published between January 2005 and December 2024. Eligible studies included healthcare professionals and, where methodologically relevant, closely related high-stress occupational populations used as comparator cohorts assessed with validated burnout instruments and reporting suicidality or closely related suicide-proximal psychological outcomes. Data were extracted independently by two reviewers, and risk of bias was evaluated using the Newcastle-Ottawa Scale. Where appropriate, findings were synthesized narratively and through meta-analysis.

A total of 29 studies met the inclusion criteria and 10 studies were included in the meta-analysis. Strong associations were consistently observed between burnout and suicidality, with emotional exhaustion and depersonalization emerging as the most robust predictors. Reduced personal accomplishment demonstrated weaker or inverse associations. Nurses and physicians were identified as particularly vulnerable, with pandemic-era studies reporting higher effect sizes compared to pre-pandemic research. Overall methodological quality was moderate to high, and heterogeneity was partly explained by profession, region, and burnout instrument used.

Burnout, particularly emotional exhaustion and depersonalization, is consistently associated with increased suicidality among healthcare professionals, with supporting evidence from related high-stress occupational populations. Vulnerable groups include women clinicians, younger professionals, and those engaged in rotating or night-shift work. These findings highlight the need for systematic burnout surveillance, confidential access to mental health support, and organizational reforms such as safe staffing ratios and workload regulation. Integrating suicide-prevention strategies into occupational health frameworks is urgently required to protect clinician wellbeing and sustain healthcare system resilience.

Integrated Behavioral Health (IBH) describes a model for providing mental health care within the context of a primary care practice. However, there is little data on how to implement IBH into practice, particularly within the context of a training environment, such as residency.

Our objectives were to describe our model for IBH, embedded within an internal medicine resident primary care clinic at a tertiary academic center, and assess trainee perspectives of IBH.

Surveys and semi-structured interviews were conducted with trainees and attendings in internal medicine and psychiatry between June 2023 to June 2025. Survey responses included both likert ratings and free text responses. In total, 28/55 (50.9%) medicine residents and 8/9 (88.9%) psychiatry trainees were surveyed. We interviewed 6 medicine residents, 2 psychiatry trainees and 1 psychiatry attending.

Over 85% of surveyed medicine residents reported greater confidence in treating mental health conditions after participation in IBH, and 100% of trainees reported that IBH improved patient care and facilitated effective communication as part of an inter-disciplinary team. Interviews with trainees and faculty revealed that participants highly valued the educational curriculum of IBH with a desire for future curricular development around difficult to diagnose conditions, such as functional disorders.

IBH can help address gaps in mental healthcare within the community, while also improving the education of trainees in medicine and psychiatry. Through this descriptive analysis, we hope to share our experience and provide a practical guide to implementing IBH programs at other institutions and improve access to high-quality mental healthcare.

Global maternal health outcomes remain inequitable, particularly in low- and middle-income countries, due to persistent gaps in access, care continuity, and postpartum follow-up. Digital health tools, especially mobile health and artificial intelligence, offer promising avenues to enhance education, monitoring, risk stratification, and clinical decision-support.

This umbrella review synthesizes evidence from existing reviews on AI applications in maternal health, focusing on: (1) AI for predicting and stratifying risks of pregnancy-related complications and mortality, (2) AI-driven preventive and supportive interventions from pregnancy through postpartum, and (3) implementation barriers to real-world scale-up. It also proposes a practical roadmap for developing a scalable AI-enabled maternal health solutions.We searched PubMed, Scopus, and Web of Science for English-language reviews (2000-2025). Two reviewers independently screened records, assessed eligibility, and evaluated methodological quality using AMSTAR 2; low-quality reviews were excluded.

Thirty-four reviews were included. Commonly employed AI methods included logistic regression, random forests, gradient boosting, support vector machines, and deep learning. Evidence indicates AI's potential for risk prediction in hypertensive disorders, gestational diabetes, preterm birth, perinatal mental health, and other complications. However, a significant translation gap persists: external validation, model interpretability, clinical workflow integration, fairness auditing, and prospective impact evaluation were inconsistently addressed.

This umbrella review suggests that AI tools can predict pregnancy complications, but a major translation gap remains-lack of external validation, interpretability, workflow integration, fairness audits, and prospective impact assessment. Addressing these gaps is essential for equitable scale-up, especially in low- and middle-income countries. We propose a practical roadmap to guide future development from pregnancy through postpartum.