There is an urgent need to improve early accessibility to psychoeducational interventions for informal caregivers of individuals with eating disorders (EDs). We adapted the BREF programme, a short, single-family, psycho-educational intervention originally developed for caregivers in severe mental disorders, to EDs (BREF-ED) and assessed at diagnosis announcement. We hypothesised that it has a good acceptability and effectiveness in reducing short-term caregivers’ self-reported levels of burden and depressive symptoms.

Data of caregivers who participated in the BREF-ED programme were analysed. Adherence, satisfaction, and perceived usefulness were evaluated. Changes in self-reported burden and depression symptoms were measured pre-, post-, and 3 months after the intervention using the Zarit Burden Interview (ZBI) and Center for Epidemiological Studies – Depression scale (CES-D).

Of the 53 caregivers included in the study, 52 participants completed the BREF-ED programme. As compared to baseline, ZBI scores showed a significant reduction after the intervention (Cohen’s d = 0.61, p < 0.001), and at the 3-month assessment (Cohen’s d = 0.62, p < 0.001). The CES-D scores also significantly decreased by the end of the third session (Cohen’s d = 0.83, p < 0.001) and at the 3-month follow-up (Cohen’s d = 0.77, p < 0.001). Satisfaction scores were high, with 90.1% of participants reporting being “very satisfied” and 9.9% “satisfied.”

Preliminary findings demonstrated high adherence rates, caregiver satisfaction, and a positive impact on burden and related depressive symptoms immediately after the programme and at short-term follow-up. This time- and resource-efficient programme has the potential for easy dissemination.

Transition from a categorical to a dimensional approach has been proposed in the field of psychosis. However, whether key features of schizophrenia, such as cognitive deficits, really do lie along a linear continuum remains uncertain. To explore this, we compared for the first time verbal learning impairments in six entities of the psychosis spectrum using linear, nonlinear, and categorical models.

Studies involving verbal learning tests in familial high risk, clinical high risk, schizotypy/schizotypal, ultra-high risk, first episode of psychosis (FEP), and chronic schizophrenia populations were systematically searched in three databases in September 2024. Studies were included if they reported an immediate, delayed, or total recall measure in subclinical or clinical entities and healthy controls. The metafor package was used to compute effect sizes for the comparison between cases and control groups, categorized by psychosis entities. Model comparisons were also performed to compare linear, nonlinear, and categorical distributions of the effect sizes.

The meta-analysis aggregated a total of 262 studies in the psychosis spectrum. Effect sizes were moderate in at-risk populations (<0.50) and large in clinical populations (−1.00 for FEP and >1.00 for chronic schizophrenia). A nonlinear model best explained our data in immediate recall, while the results in delayed and total recall suggest the inferiority of linear models.

Our findings suggest a discontinuity in verbal learning between at-risk populations and clinical entities, challenging a purely linear dimensional model of cognitive impairment in the psychosis spectrum.

Telomere shortening is shared by all psychiatric disorders and is hypothesized as resulting from decreased telomerase activity (TA) or expression of the TERT (Telomerase Reverse Transcriptase) gene.

A search in four English databases was conducted from inception to November 2024 to evaluate the association between psychiatric disorders and telomerase activity (TA) or TERT gene expression in peripheral blood. We performed two separate meta-analyses to generate pooled effect size (ES) for TA and TERT gene expression, followed by meta-regression.

The systematic review included 16 studies, 14 of which were included in the meta-analyses. When considering all psychiatric disorders, no associations were found for TA (ES = 0.08 [−0.50–0.67], p = 0.78 – I-squared = 95%), nor TERT gene expression (ES = 0.00 [−0.56–0.57], p = 0.99 – I-squared = 91%). However, TA was elevated in mood disorders (ES = 0.61 [0.06–1.16] – p = 0.03), while decreased in non-mood disorders (ES = −0.70 [−1.37 – −0.03] – p = 0.04). ES for TA were larger in mood disorders as compared to other disorders (p = 0.003).

This meta-analysis shows that psychiatric disorders – taken together – are not associated with peripheral blood TA or TERT gene expression. Nevertheless, we find that TA is increased in depressive disorders (unipolar or bipolar), whereas decreased in non-mood psychiatric disorders. The paucity of studies and small sample sizes are important limitations, especially for TERT gene expression. Further research is needed, incorporating a broader spectrum of psychiatric disorders and larger sample sizes.

Many patients with major depressive disorder (MDD) do not respond sufficiently to first-line treatments. Due to its biological and psychological mechanisms, exercise may enhance the effectiveness of other MDD treatments. In a pragmatic randomised superiority trial, we evaluated the clinical and cost-effectiveness of exercise therapy adjunct to guideline-concordant care as usual (CAU) for MDD in specialised mental health care.

MDD outpatients (N = 112; Mage = 37; 51% female) were randomized to CAU (96.9% psychotherapy, 59% pharmacotherapy) or CAU + EX (CAU plus 12 weeks of exercise therapy: one supervised and two home-based aerobic sessions/week). Depressive symptoms were assessed using the Inventory of Depressive Symptomatology-Self Report. Remission was evaluated during follow-up by blinded assessors using the Structured Clinical Interview for DSM-5. The economic evaluation followed a societal perspective.

Patients in the CAU + EX condition were significantly more likely than those in CAU to meet the exercise prescription; however, only 22% fully adhered to it. Depressive symptoms decreased from severe to moderate depression in both conditions, with no significant difference between the conditions on symptom reduction (b = −0.22, [−0.72, 0.29]) or remission rate (OR = 0.06, [−0.20, 0.32]). Evidence for cost-effectiveness was found in the per-protocol (≥ six supervised exercise sessions) but not in the intention-to-treat sample.

Adjunct exercise therapy does not provide additional clinical benefits or cost-effectiveness in specialized mental health care. Low adherence to the exercise prescription limits its potential. Cost-effectiveness may be achievable with higher adherence, warranting emphasis on strategies to improve adherence in this population.

Certain prescription drugs used during pregnancy are associated with offspring autism spectrum disorder (ASD). Nonetheless, ASD risk following prenatal exposure to most drugs remains unknown. Furthermore, methodological challenges and ethical concerns hinder the scope for causal inference.

We used a case-cohort study design of a nationally representative sample from Israel to examine the associations between maternal prescription drug use during pregnancy and offspring ASD. To scrutinize these associations, the analyses were (a) adjusted for indication proxy (level 2 Anatomical Therapeutic Chemical (ATC) codes), (b) repeated using shared pharmacological targets as exposures, and (c) inspected further through target-enrichment analysis.

The sample included 1,400 individuals with and 94,713 without an ASD diagnosis. Among all drugs prescribed during pregnancy, five were statistically significantly associated with increased offspring ASD risk after adjustment for indication proxy (e.g., hazard ratio [95% confidence interval] cyproterone = 2.71 [1.17–6.25] and prednisolone = 2.10 [1.27–3.49]), and two with decreased risk (ferrous sulfate = 0.82 [0.68, 0.99] and lynestrenol = 0.43 [0.2, 0.93]). Further analysis revealed four pharmacological targets shared by these drugs, which were themselves associated with ASD (e.g., neuronal acetylcholine receptor α4β4 = 1.45 [1.05–1.99] and serotonin 2b receptor = 1.31 [1.04–1.61]). Enrichment analysis suggested the association between ASD and medications affecting cholinergic and serotonergic signaling.

Increased ASD risk followed prenatal exposure to five prescription drugs, and decreased risk followed exposure to two. Subsequent analyses suggested no confounding by indication in these associations, but further studies are warranted.

Little is known about the diagnostic trajectories following a first psychiatric diagnosis in childhood or adolescence. Such knowledge could aid clinicians in treatment, risk prediction, and psychoeducation. This study presents a comprehensive nationwide overview of diagnostic trajectories in children and adolescents after their first diagnosis in child and adolescent psychiatric hospitals.

Patients aged 0 to 17 years who received their first psychiatric diagnosis between January 1996 and December 2011 were identified through the Danish National Patient Registries. Shifts at the International Classification of Diseases (ICD-10) two-cipher level (F00-F99), grouped into 19 categories, were identified. Subsequent diagnoses during 10 years of follow-up until December 2021 were identified and analyzed using state sequence analysis and Cox proportional hazard regression models.

A total of 77,464 children and adolescents (32,733 [42.26%] girls) were identified with a first-time psychiatric diagnosis. Among these, 46.7% of girls and 37.6% of boys had at least one diagnostic shift after 10 years of follow-up. High entropy and low diagnostic stability were found in first-time diagnoses often presenting in adolescence, such as affective disorders, psychotic illness, and personality disorders, while lower entropy and high diagnostic stability were found in neurodevelopmental disorders and eating disorders. For most categories, girls had higher mean entropy measures than boys (P < 0.05).

Diagnostic shifts are common in child and adolescent psychiatric services, particularly when the first contact occurs in adolescence. Adequate focus on psychoeducation about emerging diagnostic shifts, and on timely detection, particularly in girls, and particularly in adolescence, is warranted.

Urbanization, the shift of a growing population into urban areas, is shaping global development across infrastructure, health, and sustainability. Although it brings economic growth, innovation, and improved access to services, it may also impact mental health.

The present article was prepared on behalf of the European Psychiatric Association and explores the complexity of associations between urbanization and mental health, highlighting both potential risks and opportunities for improvement.

Urban growth often leads to increased population density, social fragmentation, and environmental stressors, including noise, pollution, and reduced green spaces, all of which might account for worsening mental health. Urban residents might be at risk of various mental disorders due to these stressors, accompanied by the risk of social disconnection. Moreover, socioeconomic disparities in urban settings can lead to unequal healthcare access, further contributing to these challenges. However, urbanization also offers unique opportunities to improve mental health through better resource allocation, innovative healthcare solutions, and community-building initiatives. Indeed, cities might serve as areas for mental health promotion by integrating mental health services into primary care, utilizing digital health technologies, and fostering environments that promote social interactions and well-being. Urban planning that prioritizes green spaces, safe housing, and accessible public transportation holds the potential to mitigate some risks related to urban living.

While urbanization presents significant challenges to mental health, it also provides grounds for transformative interventions. Addressing the mental health needs of urban populations requires a multifaceted approach that includes policy reform, community engagement, and sustainable urban planning.

Network analysis is a promising approach for elucidating the dynamics of the transition from psychopathology to well-being. Recently, symptom connectivity strength has been proposed as a measure of plasticity – the capacity to change disease severity. Yet, empirical findings remain inconsistent. We propose that this inconsistency can be resolved by recognizing that the interpretation of connectivity strength varies along the recovery process from depression, whether at baseline or during clinical change.

We analyzed 2,710 depressed patients from the STAR*D dataset, grouped by the magnitude of change in depressive score. Symptom network connectivity was estimated from QIDS-C items at three time points: (i) baseline, (ii) change – defined as when clinical change in depression score occurs, (iii) post-change - corresponding to when the maximum clinical change is achieved.

At baseline, connectivity strength predicts the maximum clinical change, inversely correlating with its magnitude (ρ = −0.95, p = 0.001). At the change time point, connectivity strength parallels clinical change (ρ = 0.92, p = 0.002). A direct and significant association between connectivity strength and depression severity emerges only at the change (ρ = 0.98, p = 0.0003) and post-change (ρ = 0.95, p = 0.001) time points.

The interpretation of connectivity strength for predicting depression trajectories varies by timepoint: at baseline, it measures plasticity -- the capacity for change -- whereas during clinical change, it indicates the magnitude of change in symptom severity. This framework supports the reliability of this prognostic marker for designing personalized therapeutic interventions in psychiatry.

Lithium treatment is associated with reduced mortality in bipolar disorder (BD), but the role of treatment continuity remains underexplored. This study investigated the association between patterns of lithium exposure and all-cause mortality in a population-based cohort.

We analyzed electronic health records from 15,384 individuals with BD in Catalonia, Spain (2010–2019). Patients were classified as having sustained, partial/intermittent, or no lithium exposure based on annual defined daily doses (DDDs). All-cause mortality was the primary outcome. Kaplan–Meier and Cox regression analyses (adjusted for sociodemographic, clinical, and treatment-related variables) estimated hazard ratios (HRs) for mortality risk. Interaction and sensitivity analyses were conducted to assess the role of comorbidity burden and dose effects.

Over the study period, 715 deaths were recorded. In fully adjusted models, sustained lithium exposure was associated with a significantly lower mortality risk compared to no exposure (HR = 0.69, 95% confidence interval [CI]: 0.51–0.93, p = 0.016). In the lithium-exposed subgroup, sustained use was also protective compared to partial/intermittent exposure (HR = 0.70, 95% CI: 0.51–0.97, p = 0.03). No significant interaction was observed between sustained lithium use and comorbidity burden. Sensitivity analyses confirmed this effect at lower dose thresholds but not at higher ones.

Sustained lithium use is associated with improved survival in BD. Discontinuous exposure does not confer the same benefit. Ensuring treatment continuity may maximize lithium’s protective effect and improve long-term outcomes.

Maternal depressive symptoms can influence brain development in offspring, prenatally through intrauterine programming, and postnatally through caregiving related mother–child interaction.

The participants were 5-year-old mother–child dyads from the FinnBrain Birth Cohort Study (N = 68; 28 boys, 40 girls). Maternal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at gestational week 24, 3 months, 6 months, and 12 months postnatal. Children’s brain imaging data were acquired with task-free functional magnetic resonance imaging (fMRI) at the age of 5 years in 7-min scans while watching the Inscapes movie. The derived brain metrics included whole-brain regional homogeneity (ReHo) and seed-based connectivity maps of the bilateral amygdalae.

We found that maternal depressive symptoms were positively associated with ReHo values of the left amygdala. The association was highly localized and strongest with the maternal depressive symptoms at 3 months postnatal. Seed-based connectivity analysis did not reveal associations between distal connectivity of the left amygdala region and maternal depressive symptoms.

These results suggest that maternal depressive symptoms soon after birth may influence offspring’s neurodevelopment in the local functional coherence in the left amygdala. They underline the potential relevance of postnatal maternal distress exposure on neurodevelopment that has received much less attention than prenatal exposures. These results offer a possible thus far understudied pathway of intergenerational effects of perinatal depression that should be further explored in future studies.

Psychosocial interventions for people with mental illness are increasingly focusing on facilitating recovery and self-care. Despite evidence from Europe on the short-term effects of recovery self-planning programs for people discharged from crisis resolution teams, similar programs and supporting evidence in other countries or healthcare contexts are lacking, particularly regarding cultural adaptation and long-term assessment. This randomized controlled trial compared a 4-month peer-facilitated, recovery-focused self-illness management (Peer-RESIM) program for Chinese adults with first-episode psychosis with psychoeducation (PE) and treatment as usual (TAU).

Patients (N = 198) were recruited from four Integrated Community Centres for Mental Wellness in Hong Kong and randomly assigned to the Peer-RESIM, PE, or TAU group (66/group). The primary outcomes were recovery and functioning levels; the secondary outcomes were psychotic symptoms, problem-solving ability, rehospitalization rate, and service satisfaction. Assessments were conducted at baseline and immediate, 9, and 18 months postintervention.

The generalized estimating equation test revealed that the Peer-RESIM group reported significantly greater improvements in recovery, functioning, problem-solving ability, psychotic symptoms, average duration of rehospitalizations, and service satisfaction (p = 0.01–0.04, small to large effect sizes) than the TAU group at all three posttests and the PE group at 18 months postintervention.

The Peer-RESIM can enhance long-term recovery and self-care in adults with early-stage psychosis.

The medical profession is associated with high demands and occupational stressors – including confrontation with illness and death, extended work hours, and high workload – which may increase the risk of traumatization and posttraumatic stress disorder (PTSD). This systematic review aimed to synthesize evidence on prevalence of PTSD among physicians and examine potential moderators, including the COVID-19 pandemic, specialties, and geographic regions.

A systematic search was conducted in PubMed, Web of Science, PsychINFO, and PubPsych up to April 2025. Included studies were English-language, peer-reviewed, observational studies, reporting PTSD prevalence in physicians, using validated instruments. Studies focusing on preselected PTSD cases or mixed healthcare samples were excluded. Data extraction included study methodology, measurement tools, geographic region, specialty, and survey timing (pre-/“post”-COVID). Risk of bias was assessed using the JBI critical appraisal checklist for prevalence studies. Quantitative synthesis and moderator analyses were performed. The review was registered with PROSPERO (ID CRD42023401984).

Based on 81 studies (N = 41,051), the pooled PTSD prevalence using a random-effects model was 14.9% (95% CI [0.132–0.168]). Prevalence estimates were lower in high-income (13.6%) compared to middle-income countries (21.1%) (p < 0.036). Studies employing brief screening tools (≤10 items) yielded significantly lower prevalence estimates (10.2%) than those using longer instruments (16.4%) (p < 0.027). No other significant moderators were identified.

PTSD prevalence among physicians is elevated relative to the general population, with notable variation across regions and measurement approaches. Future research should address gaps in representativeness and geographic coverage to improve prevalence estimates and guide prevention strategies.

Knowledge of the impact of perimenopause on women with attention-deficit/hyperactivity disorder (ADHD) is lacking. We compared levels of perimenopausal symptoms and prevalence of severe perimenopausal symptoms among women with and without ADHD across age groups.

In this cohort study, we used data from the population-based Stress-and-Gene-Analysis cohort study. ADHD diagnosis was self-reported at baseline and 5-year follow-up. At follow-up, we assessed ADHD symptoms using the Adult ADHD Self-Report Scale, perimenopausal symptoms (psychological, somatic, and urogenital) using Menopause Rating Scale (MRS), and general physical symptoms using Patient Health Questionnaire. We described mean scores and mean difference on MRS among women with and without ADHD with linear regression models and contrasted the prevalence of severe perimenopausal symptoms among women with and without ADHD, calculating prevalence ratios (PRs) with 95% confidence intervals (CIs) using modified Poisson regression models.

Women with ADHD (n = 535) had higher total perimenopausal symptom scores (18.0 vs. 13.0, p < 0.01) than women without ADHD (n = 4,857). The difference was most pronounced among women aged 35–39 years (19.0 vs. 12.5, p < 0.01). The prevalence of severe perimenopausal symptoms was significantly higher among women with ADHD compared to those without, both overall (54.2% vs. 30.1%, PR = 1.80, 95% CI = 1.64–1.98) and on all subdimensions (psychological: 58.6% vs. 36.0%, PR = 1.63, 95% CI = 1.51–1.76; somatic: 30.4% vs. 13.9%, PR = 2.20, 95% CI = 1.88–2.57; uro-genital: 43.2% vs. 27.5%, PR = 1.57, 95% CI = 1.40–1.77).

Women with ADHD have higher prevalence of severe perimenopausal symptoms. These symptoms present at an earlier age than among women without ADHD, indicating an earlier onset age of perimenopause in ADHD.

Benzodiazepines (BZ) are widely prescribed to patients with severe mental illnesses, yet their long-term impact on global health remains underinvestigated. While their symptomatic benefits are acknowledged, data on their associations with quality of life (QoL), metabolic comorbidities, and side effects are limited.

In this cross-sectional study, we analyzed clinical data from 1,248 patients with schizophrenia, bipolar disorder (BD), or major depressive disorder at a psychiatric center in Marseille, France. Associations between BZ use and key outcomes – including QoL (Short Form Health Survey [SF-36], EuroQol-5 Dimensions [EQ-5D], and Schizophrenia Quality of Life Questionnaire - 18 items [SQoL-18]), metabolic parameters, and treatment side effects (Udvalg for Kliniske Undersøgelser Side Effect Rating Scale [UKU scale]) – were examined using multivariate regression analyses.

BZ use was significantly associated with lower QoL scores on physical and mental health domains of the SF-36 (p < 0.001), increased impairment across EQ-5D dimensions, and reduced subjective well-being (SQoL-18, p = 0.043). BZ users also presented higher rates of obesity, diabetes, and metabolic syndrome (all p < 0.05). Furthermore, BZ use was independently associated with a higher burden of side effects across UKU subscales, particularly in the psychiatric domain (emotional blunting, anxiety, and depressive symptoms; p = 0.003).

These findings suggest that BZ use in severe psychiatric disorders may be linked to a substantial multidimensional health burden, including reduced QoL, greater side effect profile, and increased metabolic risk. These results highlight the need for evaluation of long-term BZ use and the promotion of safer alternative treatments.

Cannabis use is elevated in youth with depression and attention-deficit/hyperactivity disorder (ADHD), but drivers of this increase remain underexplored. The self-medication hypothesis suggests cannabis is used by patients for mood regulation, a common difficulty in ADHD and depression. This study aimed to examine associations between mood instability and cannabis use in a large, representative clinical cohort of adolescents diagnosed with ADHD and/or depression.

Natural language processing (NLP) approaches were utilised to identify references to mood instability and cannabis use in the electronic health records of adolescents (aged 11–18 years) with primary diagnoses of ADHD (n = 7,985) or depression (n = 5,738). Logistic regression was used to examine mood instability as the main exposure for cannabis use in models stratified by ADHD and depression.

Mood instability was associated with a 25% higher probability of cannabis use in adolescents with ADHD compared to those with depression. Following adjustment for available sociodemographic and clinical covariates, mood instability was associated with increased cannabis use in both ADHD (aOR: 1.61 [95% CI: 1.41–1.84]) and depression (aOR: 1.38 [95% CI: 1.21–1.57]) groups.

This was the first study to explore the differential impact of mood instability on adolescent cannabis use across distinct diagnostic profiles. NLP analysis proved an efficient tool for examining large populations of adolescents accessing psychiatric services and provided preliminary evidence of a link between mood instability and cannabis use in ADHD and depression. Longitudinal studies using direct measures or tailored NLP techniques can further establish the directionality of these associations.