Three-quarters of all mental health problems begins between 10-24 years. When not treated, adolescents and young people with mental health problems are at high risk of abuse, suicide, and substance use, which have long-term consequences that negatively impact physical, and economic productivity. The study aimed to determine the prevalence of mental health problems among secondary school students 10-24 years in the Kilimanjaro region, northern Tanzania.

We utilized secondary data from two repeated cross-sectional surveys conducted in 2019 and 2022 among students aged 10-24 years in the Kilimanjaro region, northern Tanzania. A chi-square test was used to compare mental health problem proportions by survey year and other participant characteristics. Multivariable logistic regression estimated odds ratios and 95% confidence interval to determine factors associated with mental health problems.

The median age of 4955 study participants was 15 (14, 17), 64% were 15-19 years, 53.9% were females, and 65% participated in survey 1. The overall prevalence of mental health problems was 29.2% (survey 1; 27.4% and survey 2; 32.6%). Overall, higher odds of mental health problems were among students aged 20-24 years than those aged 10-14 years, among females, currently using any substances, ever had sex, ever been physically attacked, ever been bullied, and those ever-missed classes.

Mental health problems are highly prevalent among secondary school adolescents and young people in the Kilimanjaro region and were common among those aged 20-24 years, females, final year students, current substance users, history of having sex, ever missed classes, and being bullied. In-school programs for mental health issues awareness among students should be improved.

Internally displaced children are at risk of not receiving the general health services they require, since they have health needs that are unique to those of adults. Therefore, the first step in designing intervention programs for them is to determine their mental health status.

This study determined the relationship of sociodemographic factors with the prevalence of depression and PTSD among internally displaced children in Nigeria.

A descriptive correlational research design was adopted for the study using adapted versions of the Child PTSD Symptom Scale (CPSS) and the child version of the Revised Child Anxiety and Depression Scale - RCADS (Depression Subscale). Frequency, percentage, binary logistic regression and chi-square were used for data analysis.

Findings showed that the participants (n=474) comprised 55.3% male and 44.7% female children, with 85.9% having a low household income. The prevalence rate of PTSD and depression among displaced children was 79.7% and 84.8%, respectively. More than a third (47.5%) of the children were severely depressed, with more male (28.2%) than female children (21.2%) having moderately severe depression. A greater proportion of male (39.3%) than female (30.7%) children had severe PTSD. Functional impairment due to PTSD was found in 90.7% of the children. At a 95% confidence interval, age and gender did not significantly predict the prevalence of depression and PTSD among internally displaced children in Nigeria (OR < 1 and P > 0.05). At p<0.05, demographic characteristics of the children, such as parents' education, household size and housing size, correlated significantly with the prevalence of PTSD and depression among them.

Findings of this study suggest a high prevalence of depression and PTSD among displaced children in Nigeria and therefore call for the government to make available counselling and rehabilitation services to all IDPs, especially the children, to improve their mental health.

The importance of social environment for the mental health of older adults is gaining increasing attention, while the mediating role of social environment has not yet been thoroughly investigated.

Using point-of-interest (POI) data from Baidu and data on 20 communities in Guangzhou, China, which were collected through a questionnaire survey, this study employed a multi-level mediation model to investigate the relationship between the built environment and the mental health of older adults and to test the mediating effect of the social environment.

The findings indicated that park accessibility, as well as the distance to the nearest park are significantly positively correlated with the mental health of older adults, and the distance to the nearest public transit station is significantly negatively correlated. Social capital and community safety play significant mediating roles between the built environment and the mental health of older adults. Furthermore, the impact of built environment on mental health of older adults through the social environment, as well as the mediating pathways involved, exhibits significant differences across older adults with varying income levels.

This approach deepens the understanding of the pathways through which community environments impact the health of older adults in the Chinese context. The results provide a reference for policymakers and urban planners in planning healthy communities, age-friendly communities, and advancing an active aging society.

People are at increased risk of suicide following discharge from inpatient mental health units. Understanding the reasons for this increased risk is important for reducing the number of people who die by suicide. Whilst reviews of quantitative research have identified risk factors, no reviews of the qualitative literature exist which could provide more nuanced explanations of elevated suicide risk during the post-discharge period. This systematic review is the first to meta-synthesise qualitative research on experiences of suicidality after being discharged from inpatient mental health units. We searched PsycINFO, MEDLINE, Web of Science, PubMed and ProQuest using relevant search terms. We identified 29 studies that met inclusion criteria and were included in the review. We analysed the data using thematic synthesis and identified five analytic themes: (1) Feeling prepared for the transition home, (2) Returning from safety to everyday hardship, (3) The need for connection and understanding, (4) Feeling neglected by the system, (5) Taking the reins on recovery. This review indicates that reducing post-inpatient discharge suicides could be achieved through collaborative discharge preparation, immediate and intensive post-discharge support, and empowering service-user recovery.

Black British communities experience significant mental health disparities, driven by systemic racism, stigma and a lack of culturally competent care. Psychological ownership (PO) - the sense that something is 'mine' - offers a novel framework for understanding mental health empowerment and participatory care. This study examines PO as a lens for unpacking barriers and opportunities for empowerment and translating these insights into participatory design solutions.

We conducted semi-structured interviews and co-design workshops with Black British mental health service users and staff at a culturally specific recovery service. Using PO theory, we analysed participants' motives (efficacy and effectance, self-identity, and having a place to dwell) and routes (control, intimate knowledge, and self-investment) for taking ownership of their mental health management.

Key findings confirmed the usefulness of framing understanding mental health empowerment from the perspective of psychological ownership and revealed the importance of culturally grounded spaces, peer support, and participatory decision-making. Co-design workshops further contextualised these findings, resulting in actionable intervention concepts.

By integrating theoretical insights with participatory processes, this study highlights the potential of PO to guide the design of equitable mental health services. It concludes with recommendations for embedding PO principles into culturally competent healthcare models.

The study was conducted at a mental health day service in London, which exclusively serves people of African and Caribbean descent. There is a committee of service users who are involved in providing input and feedback on the delivery of services at the centre. This group was engaged throughout the study, from reviewing the study proposal and materials to engaging in the analysis of interviews and taking part in the codesign activity.

Youth hospitalized for a mental health (MH) condition frequently experience MH-related avoidable hospital days (MH-ADs), or days in which they remain hospitalized for a MH reason despite not requiring services unique to a medical hospital. However, there is currently no reliable method for identifying MH-ADs across healthcare systems, preventing investigation of this systemic problem. A universal and efficient method of determining MH-ADs is needed to guide improvements in access to care for youth with MH needs while reducing unnecessary medical hospital days. Our objectives were to create an administrative algorithm for identifying MH-ADs and to evaluate the algorithm's validity using clinical data from a single hospital site. The resulting algorithm, drawing on coding and billing data from the Pediatric Health Information System Database, identified MH-ADs with good sensitivity (79.9%), specificity (79.2%), and positive predictive value (95.1%), but low negative predictive value (43.5%) when compared to clinically determined MH-ADs.

Despite substantial research on the physiological and psychological effects of the menstrual cycle (MC) on somatic and mental health, its impact on psychotherapy remains largely overlooked. Importantly, MC follows a recurring pattern of inflammatory activity. Emotional states, mood, cognitive functioning and sleep patterns fluctuate across the MC, affecting overall functioning and well-being. Additionally, hormonal shifts across the cycle are linked to the exacerbation of psychiatric symptoms, particularly in premenopausal women who exhibit heightened sensitivity to normal changes in sex steroid levels. However, MC-related hormonal fluctuations and inflammatory processes are rarely considered in psychotherapeutic settings. This exploratory mixed-methods study examined how MC-related fluctuations influence clients' psychotherapy experiences. In an online survey setting, a total of N = 425 female clients completed the Client Satisfaction Questionnaire-8 (CSQ-8) and the WHO Well-Being Index (WHO-5), alongside qualitative questions on symptom and therapy experiences. Most participants received cognitive-behavioural (35.5%), psychodynamic (14.4%), systemic (9.4%) or humanistic (6.8%) therapy, while 33.9% were unsure of their therapy orientation, mostly in outpatient settings. Quantitative findings revealed reduced therapy satisfaction during premenstrual and perimenstrual phases compared with other phases. Qualitative data highlighted symptom exacerbation during these phases, negatively affecting emotional states, therapeutic participation, cognitive functioning and perceptions of therapy's necessity and effectiveness. Participants reported that the open discussion of the MC in therapy improved treatment outcomes. They advocated for individualized consideration of MC-related factors in therapy planning. These findings underscore the need for more personalized clinical approaches that integrate MC-related dynamics into psychotherapy to optimize treatment outcomes.

Workplace mental health is a growing global priority. Traditional approaches to intervention delivery often face barriers of scalability and engagement. Recent advances in artificial intelligence (AI) offer new opportunities for dynamic, personalized support, but their effectiveness and implementation in occupational settings remain unclear.

This systematic review included 17 studies published between 2018 and 2024, identified from six databases. Studies were appraised using Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines, and risk of bias was assessed with Cochrane Risk of Bias 2.0 (RoB 2.0) and ROBINS-I tools.

AI-based interventions, such as chatbot using cognitive behavioural therapy and predictive analytics, show promise for improving worker's mental health, enhancing resilience, and improving engagement. Acceptability was generally high across studies.

Despite positive findings, intervention maturity remains low, and outcome reporting is inconsistent. Few studies systematically addressed adverse events, rollout scalability, or ethical concerns, and the added value of AI over traditional approaches is uncertain.

AI interventions may offer flexible, adaptive solutions for improving workplace mental health, with strong engagement indicators. There is a pressing need to support clinicians and occupational health teams in evaluating potentially useful AI tools.

Future research must prioritize high quality randomized trials, long-term follow-up, and real-world implementation studies. Standardized frameworks for reporting effectiveness, harms, and ethical considerations are important for safe, trustable, and sustainable adoption in occupational health.

Providing peer support can benefit youth peer support workers (peers)et by supporting self-determination, recovery and resilience to self-stigma. There is a need to clarify the role of the organisation in providing benefits for peers. We aimed to identify the organisational contexts and mechanisms that result in the creation of healthy workplaces for peers.

Rapid realist review guided by the Realist and Meta-Narrative Evidence Syntheses-Evolving Standards guidelines and Pawson's iterative approach.

MEDLINE, CINAHL, PsycINFO, ERIC, SocINDEX, Google Scholar and Embase were searched from 1979 to 2025.

We included qualitative and quantitative peer-reviewed studies and grey literature that captured characteristics of organisational practices and employment considerations in youth peer support programmes.

Articles were screened independently by multiple reviewers. Inclusion criteria were adjusted to capture literature on organisational practices, and employment considerations for youth peer support programmes. Data were extracted and analysed retroductively to develop Context-Mechanism-Outcome Configurations (CMOCs).

Five employment-related risks to peer well-being were identified: (1) difficulty entering the job market, (2) lack of role clarity, (3) pressure to live up to ideals, (4) retraumatisation and (5) stigma. Six CMOCs were developed; all focused on the creation of equitable employment and supporting peer development and empowerment were developed.

Community-based mental health organisations can facilitate equitable peer employment through strategies that reduce professional stigma, enhance peer resilience and promote professional and personal development. Policy reform that addresses precarious work conditions is needed to support healthy work environments.

Childbirth readiness can reflect women's childbirth readiness in terms of knowledge, psychological aspects and planning. The purpose of this study was to evaluate childbirth readiness, its related factors and consequences in Iranian pregnant women.

This longitudinal study was the first stage (quantitative stage) of a sequential explanatory mixed-method study. It followed women during late pregnancy (from 37 weeks of gestation) and the postpartum period (4-6 weeks after childbirth) from March to September 2023.

Health centres of Tabriz, Iran.

This study involved 360 pregnant women with a gestational age of 37 weeks and above, selected via cluster sampling. Participants were excluded for high-risk pregnancies, unfavourable incidents in the last 3 months, mental-psychological diseases or a prior caesarean section.

Childbirth readiness and its related factors were assessed using several instruments completed from the 37th week of pregnancy onward, including the Childbirth Readiness Scale, a sociodemographic questionnaire, the Pregnancy Experience Scale and the Wijma Delivery Expectancy/Experience Questionnaire Version A. The consequences of childbirth readiness were then evaluated 4-6 weeks post partum using the Childbirth Experience Questionnaire, the Edinburgh Postnatal Depression Scale and the Postpartum-Specific Anxiety Scale.

The mean (SD) childbirth readiness score was 67.83 (9.41) out of 90. In the adjusted general linear model (GLM), several factors were significantly associated with lower readiness. These included a higher fear of childbirth score (β -0.12, 95% CI -0.16 to -0.08, p<0.001), first pregnancy (β -5.84, 95% CI -9.71 to -1.96, p=0.003), nulliparity (β -12.50, 95% CI -15.95 to -9.05, p<0.001), no history of abortion (β -2.90, 95% CI -5.42 to -0.43, p=0.021), non-participation in readiness classes (β -2.24, 95% CI -4.41 to -0.08, p=0.042), lower educational attainment (β -4.55, 95% CI -7.60 to -1.50, p=0.004) and having a husband who was a worker (β -2.07, 95% CI -3.87 to -0.28, p=0.023). In contrast, being a homeowner was associated with a higher readiness score (β 2.14, 95% CI 0.05 to 4.24, p=0.045). Based on GLM, pregnancy experience was not significantly associated with childbirth readiness, and childbirth readiness was not significantly associated with childbirth experience or postpartum anxiety.

Key factors associated with readiness included fear of childbirth, obstetric history (gravidity, parity, history of abortion and participation in childbirth readiness classes), maternal education, home ownership, husband's occupation-though several associations showed small effect sizes. After adjustment, readiness did not independently predict childbirth experience or postpartum mental health. The low participation rate in readiness courses highlights a major service gap. Integrating readiness assessment into prenatal care and expanding access to targeted education are recommended to improve outcomes such as birth satisfaction and caesarean rates.