Despite growing awareness of the mental health damage caused by air pollution, the epidemiologic evidence on impact of air pollutants on major mental disorders (MDs) remains limited. We aim to explore the impact of various air pollutants on the risk of major MD.

This prospective study analyzed data from 170 369 participants without depression, anxiety, bipolar disorder, and schizophrenia at baseline. The concentrations of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5), particulate matter with aerodynamic diameter > 2.5 μm, and ≤ 10 μm (PM2.5–10), nitrogen dioxide (NO2), and nitric oxide (NO) were estimated using land-use regression models. The association between air pollutants and incident MD was investigated by Cox proportional hazard model.

During a median follow-up of 10.6 years, 9 004 participants developed MD. Exposure to air pollution in the highest quartile significantly increased the risk of MD compared with the lowest quartile: PM2.5 (hazard ratio [HR]: 1.16, 95% CI: 1.09–1.23), NO2 (HR: 1.12, 95% CI: 1.05–1.19), and NO (HR: 1.10, 95% CI: 1.03–1.17). Subgroup analysis showed that participants with lower income were more likely to experience MD when exposed to air pollution. We also observed joint effects of socioeconomic status or genetic risk with air pollution on the MD risk. For instance, the HR of individuals with the highest genetic risk and highest quartiles of PM2.5 was 1.63 (95% CI: 1.46–1.81) compared to those with the lowest genetic risk and lowest quartiles of PM2.5.

Our findings highlight the importance of air pollution control in alleviating the burden of MD.

Racial and ethnic experiences of discrimination (EODs) are associated with numerous psychiatric symptoms, including outcomes along the psychosis spectrum; however, less is known about mechanisms by which EODs confer risk for psychotic-like experiences (PLEs; common subthreshold psychotic symptoms). Furthermore, work on gendered racism asserts that the intersection of race and gender impacts the nature of EODs experienced and, in turn, may impact the relationship between EODs and PLEs.

To utilize an intersectional lens (race and gender) to examine whether psychological correlates of EODs (post-traumatic stress, anxiety, depression, and dissociation) mediate the EOD–PLE relationship.

Undergraduates at a diverse, semipublic university (N = 1,759) completed self-report questionnaires (Experiences of Discrimination Scale, Prodromal Questionnaire, Center for Epidemiologic Studies Depression Scale, State–Trait Anxiety Inventory, Dissociative Experiences Scale, and Post-Traumatic Stress Disorder Checklist – Civilian Version). Analyses stratified the sample by race (non-Hispanic White, Black, and Asian) and examined three multiple mediation models, moderated by gender, examining the pathway from EODs to PLEs, through other psychiatric symptoms.

In the full sample, all psychiatric symptoms significantly mediated the relationship between EODs and PLEs. Only depression varied by gender, such that the indirect effect was only significant in female participants (β = 0.09; 95% CI [0.02, 0.16]). Across race-stratified groups, significant mediators varied by both race and gender.

These findings underscore the importance of accounting for intersectionality and multiple psychological symptoms in understanding the EOD–PLE associations, which differ by race and ethnicity as well as gender, and should be considered in clinical treatment of individuals with PLEs and history of EODs.

Existing research on post-traumatic stress disorder (PTSD) development over time covers brief periods predominantly among military personnel, rather than civilians, and baseline measurements from before traumatic experiences are rarely available. This longitudinal study examined PTSD trajectories among Israeli civilians before and after the October 7, 2023, terror attack, exploring their associations with current and previous trauma.

Data included 1,231 Israeli Jewish adults from a quasi-representative sample surveyed at four time points: January 2018, April 2022, December 2023, and March 2024. Participants completed self-report measures, including the PTSD Checklist for DSM-5 (PCL-5), exposure to the October 7 attack and subsequent war, and trauma in childhood and adulthood. Latent growth mixture modeling identified PTSD trajectories.

Four trajectories were identified: resilience (70.4%), trauma recovery (9.4%), trauma vulnerability (16.8%), and chronic PTSD (3.5%). The chronic PTSD group exhibited persistently high symptoms, associated with greater childhood trauma and war-related exposure. The trauma vulnerability group showed low-medium pre-attack PTSD levels that escalated post-attack, associated with higher war-related stressors. The trauma recovery group had high pre-attack PTSD severity related to high trauma exposure, but showed significant symptom reduction post-attack.

This study, the first to examine PTSD trajectories in civilians after large-scale trauma, highlights diverse impacts. Most participants demonstrated resilience, while some exhibited chronic symptoms. Two trajectories – trauma vulnerability and trauma recovery – were event-responsive, suggesting that collective trauma can both exacerbate and paradoxically alleviate symptoms. Findings emphasize the need for targeted interventions and suggest future research using machine learning to refine PTSD trajectory prediction.

Recent stressful life events (SLEs) are an established risk factor for a range of psychiatric disorders. Animal studies have shown evidence of gray matter (GM) reductions associated with stress, and previous work has found similar associations in humans. However longitudinal studies investigating the association between stress and changes in brain structure are limited.

The current study uses longitudinal data from the UK Biobank and comprises 4,543 participants with structural neuroimaging and recent SLE data (mean age = 61.5 years). We analyzed the association between recent SLEs and changes in brain structure, determined using the longitudinal FreeSurfer pipeline, focusing on total GM volume and five a priori brain regions: the hippocampus, amygdala, anterior cingulate cortex, orbitofrontal cortex, and insula. We also examined if depression and childhood adversity moderated the relationship between SLEs and brain structure.

Individuals who had experienced recent SLEs exhibited a slower rate of hippocampal decrease over time compared to individuals who did not report any SLEs. Individuals with depression exhibited smaller GM volumes when exposed to recent SLEs. There was no effect of childhood adversity on the relationship between SLEs and brain structure.

Our findings suggest recent SLEs are not directly associated with an accelerated decline in brain volumes in a population sample of older adults, but instead may alter brain structure via affective disorder psychopathology. Further work is needed to investigate the effects of stress in younger populations who may be more vulnerable to stress-induced changes, and may yet pinpoint brain regions linked to stress-related disorders.

Substance use has consistently been linked with cognitive impairments. However, most previous studies have focused on highly selective samples of individuals with chronic substance use disorders and have typically relied solely on self-reports. The associations between recreational use patterns of single or multiple substances and cognitive functioning in representative samples remain unclear.

We measured over 100 substances and their metabolites over the past 3 months in 850 young adults (48.6% female, Mage = 24.4) from a community-based cohort, using quantitative hair analysis. We assessed sustained attention, working memory, declarative memory, and a total cognitive performance index using the Cambridge Neuropsychological Test Automated Battery. We regressed cognition on hair substance concentrations, adjusting for sex, household socioeconomic status, migration background, education, gaming experience, and self-reported daily tobacco and alcohol use.

In their hair samples, 386 (45.5%) participants tested positive for at least one psychotropic substance other than alcohol and nicotine. Higher hair concentrations of Δ9-tetrahydrocannabinol (Cohen’s d = 0.40) and codeine (d = 0.22) were associated with lower sustained attention; higher concentrations of ketamine (d = 0.59) with worse declarative memory. Higher hair concentrations of cocaine and a higher polysubstance use severity index (PSUSI) were associated with both reduced attention (cocaine: d = 0.21; PSUSI: d = 0.30) and declarative memory (cocaine: d = 0.20; PSUSI: d = 0.29).

In this community sample of young adults, substance use was highly prevalent and associated with reduced cognitive performance, with small-to-moderate effect sizes. Cognitive consequences of recreational substance use may have been previously underestimated.

Epidemiological evidence on the incidence and remission of anxiety and depressive disorders is limited. We estimated age- and sex-specific incidence and remission rates of moderate-to-severe anxiety and depressive symptoms using the illness-death model.

The German National Cohort (NAKO) is a cohort of over 200,000 participants aged 19–74 at baseline. Prevalence of probable cases, estimated with the Generalized Anxiety Disorder Scale and the Patient Health Questionnaire data 2014–2019 across five regions, was related to general mortality rates and disorder-specific mortality rate ratios in the illness-death model. The partial derivative of prevalence was modeled as a function of incidence and remission, with parameters estimated via least-squares optimization through 2,000 bootstrap resamples.

The highest incidence rates (per 1,000 person-years) occurred at ages 19–21 for anxiety symptoms: 4.07 (95% CI: 0.00–7.57) in women and 2.55 (0.00–4.94) in men; and at ages 28–34 for depressive symptoms: 4.41 (0.00–9.81) in women and 3.30 (0.00–7.34) in men, all in Hamburg. Remission rates (per 100 person-years) were highest at older ages. For anxiety symptoms, rates peaked at 71.8 years in women (4.10 [0.00–11.94]) and 64.2 years in men (3.00 [0.00–9.23]) in Freiburg. For depressive symptoms, the highest observed was at 74.0 years, both among women (6.61 [0.00–15.50] in Münster) and men (3.58 [0.00–11.51] in Berlin).

Incidence and remission rates of anxiety and depressive symptoms can be estimated from prevalence and mortality data, revealing regional, sex-, and age-related variation. Validation with longitudinal data is warranted.

Peripheral inflammatory markers, including serum interleukin 6 (IL-6), are associated with depression, but less is known about how these markers associate with depression at different stages of the life course.

We examined the associations between serum IL-6 levels at baseline and subsequent depression symptom trajectories in two longitudinal cohorts: ALSPAC (age 10–28 years; N = 4,835) and UK Biobank (39–86 years; N = 39,613) using multilevel growth curve modeling. Models were adjusted for sex, BMI, and socioeconomic factors. Depressive symptoms were measured using the Short Moods and Feelings Questionnaire in ALSPAC (max time points = 11) and the Patient Health Questionnaire-2 in UK Biobank (max time points = 8).

Higher baseline IL-6 was associated with worse depression symptom trajectories in both cohorts (largest effect size: 0.046 [ALSPAC, age 16 years]). These associations were stronger in the younger ALSPAC cohort, where additionally higher IL-6 levels at age 9 years was associated with worse depression symptoms trajectories in females compared to males. Weaker sex differences were observed in the older cohort, UK Biobank. However, statistically significant associations (pFDR <0.05) were of smaller effect sizes, typical of large cohort studies.

These findings suggest that systemic inflammation may influence the severity and course of depressive symptoms across the life course, which is apparent regardless of age and differences in measures and number of time points between these large, population-based cohorts.

The prevalence of mood, anxiety, and substance use disorders has risen in the last decade. It is unclear to what extent this rise is also seen in the first-incidence of these disorders, even though this is relevant for prevention. We provide up-to-date information on the first-incidence of common mental disorders (mood, anxiety, and substance use disorders) and compare this with the first-incidence 12 years ago.

First-incidence of DSM-5 common mental disorders was examined with a slightly modified version of the Composite International Diagnostic Interview (CIDI) 3.0 in 4,688 respondents (18–75 years; interviewed in 2019–2022 and 2023–2024) from the third Netherlands Mental Health Survey and Incidence Study (NEMESIS-3). The CIDI also assessed DSM-IV diagnoses and, therefore, 12-year changes could be examined by comparing first-incidence rates of DSM-IV mental disorders between NEMESIS-3 (3,687 respondents aged 18–64 years) and NEMESIS-2 (5,303 respondents aged 18–64 years; interviewed in 2007–2009 and 2010–2012).

In NEMESIS-3, 11.1% of adults without prior psychopathology experienced a DSM-5 common mental disorder over 3 years. First incidence was similar for any mood disorder (7.1%) and any anxiety disorder (6.9%), but lower for any substance use disorder (3.2%). From 2010-2012 to 2023-2024, the 3-year incidence of any DSM-IV disorder significantly increased from 8.5 to 14.0%. This change remained significant after controlling for differences in sociodemographic characteristics.

The substantial rise in first incidence of mental disorders likely contributes to the previously observed rise in their prevalence. This implicates a need for enhanced preventive measures and early intervention initiatives.

Alexithymia is a multifaceted, transdiagnostic trait characterized by challenges in emotion processing. Affecting up to 10% in the general population, it represents a risk factor for various mental and physical health conditions. Recent neuroimaging studies have elucidated the neural substrates of alexithymia, providing initial insight into altered functional connectivity within key emotional, attentional, and interoceptive networks, potentially impairing emotion processing and everyday functioning. However, no large-scale study has yet confirmed these network alterations.

Resting-state functional magnetic resonance imaging from 575 individuals (ages 29–60, 334 women) in the population-based SHIP-TREND cohort, using regions of interest covering major functional networks across the whole brain, was paired with the 20-item Toronto Alexithymia Scale (TAS-20) to investigate the signature of alexithymia. The analysis accounted for technical variables, sociodemographic factors, lifestyle, and current depressive symptoms.

Higher TAS-20 scores were associated with altered functional connectivity within the frontoparietal network and between the dorsal attention and salience networks. Specifically, the subscale “difficulties identifying feelings” was associated with functional alterations between and within attentional, salience, and sensorimotor networks, indicating a divergent pattern within the salience network.

These findings underscore the widespread impact of alexithymia on brain networks involved in emotional attention, interoception, and somatosensory processing. Controlling for lifestyle factors, current depressive symptoms, and other health indicators supports the specificity of these patterns. This supports the view of alexithymia as a personality trait that affects large-scale network functioning, potentially hampering emotional regulation and self-awareness processes, contributing to mental and physical health risks.

Depression affects twice as many women as men. Risk factors for depression certainly impact this difference, but their strong interconnectedness challenges the assessment of standalone contributions. Network models allow the identification of systematic independent relationships between individual symptoms and risk factors. This study aimed to evaluate whether the extended networks of depressive symptoms, cognitive functions, and leisure activities in like-sex twins differ depending on gender or zygosity.

Twins, including 2,040 women (918 monozygotic and 1,122 dizygotic) and 1,712 men (730 monozygotic and 982 dizygotic), were selected from the Danish Twin Registry for having, along with their like-sex co-twin, completed measures of depressive symptoms, cognition, and leisure activities (physical, intellectual, and social). Network models were estimated and compared at three levels: co-twins to each other within groups defined by gender and zygosity; monozygotic to dizygotic twins within the same gender, and between genders.

No significant differences were observed when co-twins were compared to each other, regardless of the pair’s zygosity or gender, nor when monozygotic twins were compared to dizygotic twins within gender. However, the gendered networks differed significantly in global strength, structure, and partial correlations between specific depressive symptoms and risk factors, all indicating stronger connectedness in women relative to men.

Environmental factors appear to best explain between-gender network differences. Women’s networks showed significantly stronger associations both among depressive symptoms and between depressive symptoms and risk factors (i.e., decreased cognition and leisure activities). Longitudinal research is needed to determine the causality and directionality of these relationships.

Registry-based studies can inform suicide prevention by identifying mental disorders with the highest risk. Previous studies focused on severe disorders and suicide, with limited data on non-lethal self-harm or population impact. We quantified individual- and population-level associations of 32 mental disorders with non-lethal intentional self-harm (NLISH) and suicide.

Registry-based cohort study representative for all residents of Catalonia (Spain) aged ≥10 years (2014–2019; n = 645,571). Cause-specific Cox models estimated individual (hazard ratios [HRs]) and population-level (population attributable fractions [PAFs]) associations with NLISH and suicide, stratified by sex and adjusted for age, socioeconomic status, and nationality.

Individual-level associations with NLISH were strongest for borderline personality disorder (BPD; females HR = 26.9 [95%CI 24.9–29.0]; males HR = 18.9 [95%CI 16.7–21.4]). Associations with suicide were strongest for BPD in females (HR = 40.9 [95%CI 28.5–58.8]) and obsessive-compulsive disorder in males (HR = 17.4 [95%CI 5.3–56.5]). Associations with suicide were stronger among females, and those aged 10–44 across mood, substance use, dissociative, borderline personality, and psychotic disorders. Substantial proportions of outcomes were associated with common disorders: depressive episodes (PAFs 29.8–49.8%), substance use disorders (PAFs 25.1–48.7%), mixed anxiety-depressive disorders (PAFs 19.7–53.2%), and adjustment disorders (PAFs 10.6–44.6%).

Depressive, anxiety, adjustment, and substance use disorders are associated with large shares of self-harm and suicide, whereas BPD confers particularly high individual risk. Our findings support multilevel prevention strategies, especially among young people, including improved risk assessment, collaborative care, and timely access to specialized interventions.

Childhood maltreatment (CM) is related to structural alterations in adult limbic regions. However, the change in limbic structures remains unclear in adolescents from the general population since most reports stem from clinical samples. Additionally, large longitudinal neuroimaging studies in community adolescents reporting CM are scarce. Hence, we aimed to investigate the cross-sectional and longitudinal associations between CM and the structure and function of the extended limbic and reward systems throughout adolescence.

We analysed data of 634 community adolescents from the IMAGEN cohort at age 14, followed up at age 18. CM was inferred from the Childhood Trauma Questionnaire completed at age 18, yielding subgroups with CM (N = 105) or without CM (N = 529). Using 3-Tesla T1 MRI, we performed between-group voxel-wise analyses at ages 14 and 18 to investigate grey matter volumes (GMV). In addition, GMV were investigated longitudinally between ages 14 and 18. Finally, using functional MRI and the Monetary Incentive Delay task, we measured reward anticipation and feedback sensitivity between groups at ages 14 and 18.

Both at ages 14 and 18, adolescents reporting CM had lower GMV in the right insula, left orbitofrontal cortex, putamen, superior medial frontal gyrus, paracentral lobule, and other paralimbic regions, but no significant differences in reward response. Longitudinal analyses revealed no GMV difference between age groups.

CM was associated with GMV alterations persisting from early to late adolescence in the limbic regions in community individuals. Therefore, these findings further support the need for research on targeted preventive interventions for adolescents who have experienced CM.

Physical activity is a known protective factor against depression but physical activity competes with other time-consuming behaviors that may increase depression risk. This study investigates the association between time spent in various movement-related activities and incident major depression, with a particular focus on the effects of replacing TV-watching time with other activities. Additionally, we explored whether the impact of substituting TV-watching differs across age groups.

A population-based cohort study (Lifelines) with four-year follow-up, including 65,454 non-depressed adults (18+). Participants self-reported time spent in active commuting, leisure, sports, household, work or school physical-related activities, TV-watching, and sleep. Major depressive disorder was assessed using the Mini International Neuropsychiatric Interview. Compositional isotemporal data analysis was performed to analyze the effect of reallocating time in TV-watching with other activities adjusting for potential confounders. Interactions with age groups were also examined.

The incidence of major depressive disorder was 2.4%. Reallocating TV-watching time to any other physical activity or sleep reduced this risk in middle-aged adults. In older adults, only substituting TV-watching time with sports reduced the probability of becoming depressed. No significant reduction in probabilities for incident depression was found in younger adults.

Replacing TV-watching time with other activities, including sleep, may serve as a preventive strategy against depressive disorder in middle-aged adults, while only the substitution with sports seems beneficial for older adults. Future research should aim to identify other activities, particularly in younger adults, that may prevent depression.

Childhood maltreatment (CM) is a risk factor for mental and physical health problems in adulthood, potentially mediated by long-term autonomic nervous system (ANS) dysregulation. To explore this link, the association between CM and vagal-sensitive heart rate variability (HRV) metrics in adults was examined, accounting for biopsychosocial factors.

Data from 4,420 participants in the Study of Health in Pomerania were analyzed, with CM assessed using the Childhood Trauma Questionnaire. HRV was derived from 10-second electrocardiograms and 5-minute pre-sleep polysomnographic recordings. Post hoc analyses examined abuse and neglect.

CM was associated with reduced HRV (logRMSSD: β = −0.20 [95%-CI: −0.28, −0.12], p = 1.2e−06), driven by neglect (β = −0.27 [−0.35, −0.18], p = 1.9e−09) rather than abuse (β = 0.01 [−0.12, 0.14], p = 1). Adjustments for age, sex, and medication attenuated these effects, which remained robust after additionally controlling for socioeconomic, lifestyle, body mass index, and depressive symptoms (fully adjusted model: CM β = −0.08 [−0.15, −0.001], p = .047; neglect β = −0.11 [−0.19, −0.03], p = .009; abuse β = −0.08 [−0.20, −0.04], p = .174). Age-related differences were found, with reduced HRV in both young and older participants but not in middle-aged participants (fully adjusted: F(2,743) = 6.75, p = .001).

This study highlights long-term ANS dysregulation following CM, particularly neglect, indicated by altered vagal-sensitive HRV metrics. Although small in magnitude, the effect on the ANS was independent of adult biopsychosocial factors. This long-term dysregulation may contribute to an increased risk of adverse health outcomes in adulthood.

Loneliness is a global public health concern. Investigating loneliness in the general population offers a greater generalizability across various levels of health-related impairments, the identification of at-risk individuals, the detection of different loneliness severity levels, and broader insights into social determinants. Previous studies have shown that loneliness might be a transient or chronic experience, depending on how consistently it is reported across at least two timepoints. This study aimed to assess differential associations of chronic and transient with various domains of psychopathology.

Participants were enrolled from the general population and assessed at two timepoints spanning 6–7 months. Depressive symptoms, generalized anxiety, social anxiety, and paranoid thoughts were measured using self-reports. The data were analyzed using binary logistic regressions.

Altogether, 3,275 participants completed both assessments with a retention rate of 64.2%. Chronic loneliness was associated with higher baseline and follow-up scores across all symptom domains. The strongest association was observed for social anxiety. Transient loneliness was not robustly associated with symptom scores. It was not significantly associated with depressive symptoms (at either of timepoints) and paranoid ideation (at baseline). The strongest association was observed for generalized anxiety. Chronic loneliness, compared to transient loneliness, was associated with significantly higher odds of social anxiety, depressive symptoms, and paranoid ideation, but not generalized anxiety.

Both transient and chronic loneliness are associated with mental health outcomes, with the latter one showing generally stronger associations. Risk stratification and early intervention among individuals experiencing loneliness might be needed to prevent the development of more severe psychopathology.

The macro-social and environmental conditions in which people live, such as the level of a country’s development or inequality, are associated with brain-related disorders. However, the relationship between these systemic environmental factors and the brain remains unclear. We aimed to determine the association between the level of development and inequality of a country and the brain structure of healthy adults.

We conducted a cross-sectional study pooling brain imaging (T1-based) data from 145 magnetic resonance imaging (MRI) studies in 7,962 healthy adults (4,110 women) in 29 different countries. We used a meta-regression approach to relate the brain structure to the country’s level of development and inequality.

Higher human development was consistently associated with larger hippocampi and more expanded global cortical surface area, particularly in frontal areas. Increased inequality was most consistently associated with smaller hippocampal volume and thinner cortical thickness across the brain.

Our results suggest that the macro-economic conditions of a country are reflected in its inhabitants’ brains and may explain the different incidence of brain disorders across the world. The observed variability of brain structure in health across countries should be considered when developing tools in the field of personalized or precision medicine that are intended to be used across the world.

This study aimed to provide an up-to-date cross-national comparison of the European population mental health (MH) status and its determinants.

For the European Union (EU) 27 countries and the UK 6 Key Performance Indicators (KPIs) in MH status (e.g., prevalence of mental disorders) and 19 KPIs in individual (e.g., smoking), environmental (e.g., air pollution) and socioeconomic (e.g., poor housing conditions) determinants of MH were measured. KPIs scores were standardised in a 1–10 Likert Scale (1: worst performance; 10: best performance), thus allowing between-country comparisons of the relative performance. Exploratory unadjusted bivariate correlations between KPIs-transformed scores were run.

Based on the KPIs-transformed scores, Slovakia (8.3), Cyprus (7.8), and Greece (7.1) had the best MH status, while Sweden (3.1), UK (2.6), and The Netherlands (2.1) had the poorest MH status. Regarding determinants of MH Finland (8.0), Sweden, and Estonia (7.5) had the lowest MH risk, while France (3.1) and Romania (2.8) had the highest risk.

Smoking (r = −0.43, p = .021), alcohol use (r = 0.57, p = .002), daylight hours (r = 0.74, p < .001), ecoanxiety (r = −0.51, p = .005), air pollution (r = −0.46, p = .015), commuting time (r = 0.42, p = .026), and Fragile State Index (r = −0.44, p = .018) correlated with overall MH status.

Population-level MH status and its determinants varied across European countries, including “low-risk, poor MH status” and “high-risk, good MH status” countries. Further non-tested determinants of MH and/or between-country differences in responsiveness to MH needs may explain this discrepancy. These results should guide future evidence-based public MH policymaking and universal preventive strategies in Europe.

Chronic pain (CP) and mental disorders often coexist, yet their relationship lacks comprehensive synthesis. This first hierarchical umbrella review examined systematic reviews and meta-analyses, also observational studies and randomized controlled trials (where reviews are currently lacking) to report CP prevalence, risk factors, and treatment across mental disorders.

We searched MEDLINE, PsycINFO, Embase, Web of Science, and CINAHL, identifying 20 studies on anxiety, depression, bipolar disorder, schizophrenia, ADHD, autism, or dementia, and CP. Quality was assessed using AMSTAR and Newcastle-Ottawa Scale.

Prevalence varied widely—23.7% (95% CI 13.1–36.3) in bipolar disorder to 96% in PTSD—consistently exceeding general population rates (20–25%). Risks were elevated, with bidirectional links in depression (OR = 1.26–1.88). Risk factors included female gender, symptom severity, and socioeconomic disadvantage, though data were limited beyond PTSD and depression. Treatment evidence was sparse: cognitive behavioral therapy showed small effects on pain (SMD = 0.27, 95% CI -0.08–0.61), acupuncture with medication improved pain (MD = -1.06, 95% CI -1.65–-0.47), and transcranial direct current stimulation reduced pain in dementia (d = 0.69–1.12). Methodological issues were evident, including heterogeneous designs and inconsistent pain definitions.

This review confirms CP as a significant comorbidity in mental disorders. Clinicians should prioritize routine pain screening and multimodal treatments. Researchers need longitudinal studies with standardized assessments to clarify causality and improve interventions. Taken together, this work highlights an urgent need for integrated psychiatric care approaches, emphasizing that addressing CP could enhance mental health outcomes and overall patient well-being.

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.

Mental disorders affect nearly 970 million people worldwide, impacting individuals and healthcare systems. Large population databases offer insights often unattainable in smaller studies, but their findings may not always generalize across diverse regions. To address this, we introduce a European cohort from Catalonia, Spain, allowing for comparisons between individuals with mental disorders and the general population.

Data were obtained from the “Programa d’analítica de dades per a la recerca i la innovació en salut” (PADRIS). The cohort included all individuals who accessed public specialized mental health services between 2015 and 2019, with retrospective follow-up extending to 2010. These individuals, referred to as cases, were matched by age, sex, and health region with controls, individuals who had no interactions with mental health services during the same period. Sociodemographic and clinical characteristics, including psychiatric diagnoses, comorbidities, smoking status, healthcare utilization, and prescribed treatments, were analyzed.

The study included 1,421,510 individuals (mean age: 41.6±22.1; 53.6% female), with 473,812 cases and 947,698 controls. Cases were more likely to be exempt from income reporting, be ever-smokers, and have musculoskeletal comorbidities. A total of 1,547,374 psychiatric diagnoses were recorded, with anxiety (31.38%) and mood disorders (18.83%) being the most frequent. Over the follow-up, 76.2 million primary care visits and 67.1 million prescriptions were recorded.

This cohort enhances our understanding of mental health service use, diagnostic trends, and treatment patterns in Catalonia. The insights derived from this cohort have the potential to inform mental health policies, improving outcomes within and beyond the region.