Individual responses to stress are highly heterogeneous, resulting in diverse psychopathological outcomes. This variability poses challenges for traditional diagnostic frameworks and underscores the need for a transdiagnostic approach to guide interventions. This study aimed to identify distinct phenotypes within a stress-exposed population and to characterize their biological profiles using a multimodal machine learning framework.

A total of 809 stress-exposed adults (mean age 40.5 ± 8.74 years; 53.7% female) underwent clinical, laboratory, and structural MRI assessments. Data-driven clustering of clinical variables identified phenotypes, followed by machine learning classifiers trained on neuroimaging and laboratory data to predict phenotype membership. SHapley Additive exPlanations (SHAP) analysis was used to identify key biological features distinguishing each phenotype.

Three phenotypes were identified: a multi-risk group (n = 321) characterized by prominent depression, anxiety, and sleep disturbances; an alcohol-related risk group (n = 226) with high alcohol misuse and minimal comorbidity; and a resilient low-risk group (n = 262). Machine learning models accurately classified these phenotypes, indicating distinct biological profiles. SHAP analysis revealed phenotype-specific signatures: the multi-risk phenotype was associated with frontal-subcortical structural alterations and dysregulated cortisol, whereas the alcohol-related risk phenotype was characterized by frontal-insular structural alterations and metabolic abnormalities.

This study demonstrates the stratification of stress-exposed individuals into clinically and biologically distinct phenotypes. By integrating multimodal data with machine learning, we identified phenotype-specific neurobiological and metabolic profiles that extend beyond conventional diagnostic frameworks. These findings support a transdiagnostic, data-driven approach to improve risk stratification and inform personalized interventions in stress-exposed populations.

The vulnerability–stress framework guiding gene–environment interaction (GxE) research overlooks the role of positive experiences. The Differential Susceptibility (DS) model offers a broader perspective, suggesting that individuals vary in sensitivity to both negative and positive environments. This study aimed at replicating previous DS research by examining interactions between polygenic scores for environmental sensitivity (PGS-ES) and positive and negative early exposures on subclinical psychosis and internalizing psychopathology, functioning, and wellbeing.

The sample consisted of 638 twins from the first wave of the TwinssCan study, a general population twin cohort. PGS-ES and adversity, bullying and positive experiences in childhood were collected, along with assessments of psychotic, affective, functioning, and positive mental health. GxE interactions were tested under a competitive–confirmatory approach.

DS effects were found for the interactions between PGS-ES and all environmental exposures on schizotypic eccentricity and functioning. Adolescents with high genetic sensitivity were rated as more eccentric and less functional under childhood adversity but were rated as less eccentric and better adjusted under childhood favorable conditions. DS also resulted from the interaction between PGS-ES and positive childhood on social coping. No significant models emerged for internalizing or wellbeing.

Findings overall supported DS, indicating that genetic sensitivity to the environment operates in a “for better and for worse” manner depending on the quality of environmental exposures. It extends initial evidence that DS applies to nonclinical psychosis expression and highlights the importance of considering the full spectrum of environmental conditions to understand both risk and opportunity factors in GxE.

Sex differences in psychosis pathoetiology are insufficiently understood. This study explores how childhood adversity (CA) and coping mechanisms relate to psychosis expression (PE) across males and females in the general population.

Data from the TwinssCan project (males: n = 312; females: n = 478) were used. The Childhood Trauma Questionnaire assessed CA domains. The Utrecht Coping List assessed coping strategies. Psychosis expression was assessed using the Community Assessment of Psychic Experiences (CAPE). Mixed linear regression analyses examined sex-stratified associations of CAPE scores with CA, coping strategies, and their interactions.

Emotional abuse (EA) was associated with increased total CAPE scores (T-CAPE), explaining the greatest variance among CA across sexes. Sex-specific effects showed that sexual abuse (SA) and physical abuse (PA) were linked to higher T-CAPE in females, whereas physical neglect (PN) was linked to higher T-CAPE in males. Passive-reacting was associated with increased T-CAPE, explaining the greatest variance among coping styles across both sexes. Sex-specific effects showed that, in females, seeking social support was linked to decreased T-CAPE, while emotional expression increased it. The only sex-shared interaction effect was between reassuring thoughts and emotional neglect (EN), associated with decreased T-CAPE. In females, social support (× PA/PN/EA), reassuring thoughts (× PA/PN), and palliative-reacting (× PN/PA) were associated with decreased T-CAPE, while passive-reacting (× EN) increased it. In males, avoidance (× SA/PA) and passive-reacting (× PN) were associated with increased T-CAPE.

Sex differences in the associations of PE with CA and coping underscore the necessity for sex-specific interventions that promote adaptive coping strategies.

The awareness of climate change as a global environmental threat through media consumption and/or social interaction can have a psychological impact on people’s mental health. However, little is known about the association between climate change awareness-related psychological distress (CCARPD) and mental health in people with psychiatric diagnoses or subclinical symptoms.

A comprehensive and systematic literature search of the PubMed, Embase, Web of Science Core Collection, Scopus, and CENTRAL electronic databases (from inception to February 2025) was conducted, without language restriction, for articles assessing the association between CCARPD and the mental well-being of people in the general and psychiatric populations.

Twenty-eight thousand forty-seven reports were retrieved. Of these, 67 met the inclusion criteria (64 general and 3 psychiatric population studies). The overall correlation between CCARPD and mental health measurements (ranging from subclinical symptoms to clinical diagnoses of depression, anxiety, or stress) was positive and of weak-to-moderate strength. Nevertheless, higher psychological distress due to the awareness of climate change was found in those having more severe mental health problems.

Although most studies have found small-to-moderate correlations between CCARPD and mental health measurements, it can be distressing and damaging for those with more severe mental health problems. As CCARPD will increase globally as the climate crisis unfolds in the coming decades while the understanding of the connections between CCARPD and mental well-being is still at an early stage of development, more research will be of utmost relevance, particularly in psychiatric populations.

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.

Lived experience – how individuals perceive and interact with their environment – plays a central role in understanding mental health. Yet, insights into this first-person perspective, including subjective thoughts, emotions, and socio-contextual influences, remain limited in current research approaches.

To address this gap, we developed StreetMind, a scalable, secure, and user-friendly digital citizen science platform grounded in a psycho-sociogeographic framework. The platform collects self-reported data on individuals’ activity spaces through a mobile app and web interface, capturing location visits, travel routes, and daily experiences. These subjective reports are combined with objective real-time health, environmental, and sociocultural data to generate integrated community “footprints.”

Initial usage data (N = 1,010 for location and route entries; N = 509 for daily experiential data) demonstrate the platform’s structural robustness and functional feasibility. StreetMind enables classification of daily experiences by linking personal perceptions with contextual environmental data. This integration facilitates the identification and quantification of key environmental and psychosocial factors associated with mental well-being.

StreetMind offers a novel, data-rich mapping of health–environment interactions by merging individual lived experience with environmental metrics. This approach supports the creation of dynamic “health–environment spaces” and holds promise for informing public health strategies and advancing precision mental health care.

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.

Little is known about the interrelationships among adverse childhood experiences (ACEs), post-traumatic stress disorder (PTSD), dissociative disorders, depression, and dementia risk. We sought to investigate associations of ACEs, PTSD, dissociative disorders, and depression with incident dementia and explore whether these associations may be interrelated through mediation.

This prospective cohort study used population-based UK Biobank data, including 502 355 participants recruited at 22 assessment centres who completed questionnaires, an interview, and physical assessments at baseline (2006–2010). Data are linked to participants’ electronic health records from primary care, hospital admissions, and death registers through November 30, 2022, and to the results of the UK Biobank online mental health survey (2016–2017). Cox regression and g-formula-based mediation analyses were used to examine associations between self-reported ACEs, self-reported PTSD symptoms, diagnosed PTSD, dissociative disorders, depression, and dementia.

In the final sample (n = 434 215, mean (SD) age 56.58 (8.07) years), ACEs (hazard ratio (HR)1point: 1.10; 95% CI 1.02–1.20), diagnosed PTSD (HR: 2.09; 95% CI 1.38–3.18), dissociative disorders (HR: 3.96; 95% CI 2.55–6.15), depression (HR: 2.17; 95% CI 2.05–2.30), and self-reported PTSD symptoms (HR1point: 1.09; 95% CI 1.06–1.11) were associated with increased dementia risk, after adjusting for sociodemographic characteristics. Self-reported PTSD symptoms explained 75.26% (P < .001) of the excess dementia risk associated with ACEs. Depression explained 4.51% (P = .02) of the ACEs-dementia link, 8.42% (P < .001) of the diagnosed PTSD-dementia link, and 10.29% (P < .001) of the dissociative disorders-dementia link.

Individuals with ACEs, PTSD, dissociative disorders, or depression appear to be at increased risk of dementia, potentially through both shared and unique associations. However, these findings should be interpreted with caution due to potential limitations in statistical power.

Childhood maltreatment (CM) increases the risk for psychopathology and CM type, severity and timing are considered important modulating factors in this relationship. However, reported associations are heterogeneous and hardly considered vulnerable groups broadly exposed to CM.

We investigated the association between CM types and timing and psychopathology in formerly out-of-home placed young adults (N = 185; 32% women, age mean = 26.38 years, SD = 3.49). CM was assessed using the Maltreatment and Abuse Chronology of Exposure Scale. Conditional random forest regression was used to estimate the importance of CM types (abuse, neglect, peer victimization, and sexual abuse), timing (ages 3–18), and global measures (severity, multiplicity, and duration) on adult general, internalizing, and externalizing problems (Achenbach System of Empirically Based Assessment). We validated the results using diagnoses of mental disorders clustered with the Hierarchical Taxonomy of Psychopathology model.

Global CM measures were stronger predictors of internalizing problems than CM type and timing. Abuse in early childhood was a stronger predictor of externalizing problems compared to global CM measures.

Considering CM type and timing might be valuable to guide maltreatment-informed interventions in therapeutic settings.

Adverse childhood experiences (ACEs) can cause morphological brain alterations across the lifespan, contributing to increased vulnerability to mental and physical disorders. Despite extensive research on ACEs-related brain alterations, the protective or augmenting role of modifiable lifestyle factors such as physical activity has been largely underexplored, representing a key gap in our understanding of trauma-related neuroplasticity. To close this gap, we aimed to investigate how lifetime physical activity (LPA) influences the relationship between ACEs and morphological brain alterations.

Moderation analyses using Hayes’ PROCESS macro examined the interaction between ACEs and LPA on the volume of limbic system-related regions – hippocampus, amygdala, anterior cingulate cortex (n = 81).

While LPA showed no moderating effect on hippocampal or anterior cingulate volume, the model concerning the volume of the amygdala was significant. This model explained 8.1% of the variance in amygdala volume (p = 0.002) and the interaction of LPA and ACEs contributed 7.9% of this variance, with a significant effect (β = −0.221 p ≤ 0.001). That indicated LPA moderates ACEs-related structural changes in the amygdala, a key component of the central circuitry of emotion and stress sensitization. Notably, only in individuals with low physical activity were ACEs associated with increased volume of amygdala.

Our findings underscore the behavioral dependency of the structural adaptations of the amygdala following childhood adversities. These results emphasize the therapeutic potential of incorporating physical activity into interventions for trauma-exposed individuals, offering a behavioral approach to mitigating stress-related neurobiological changes.

There is preliminary evidence that childhood trauma (e.g., abuse) is associated with subclinical hypomania reported in adolescence. These findings need replicating in early adulthood, as clinical conditions emerge, and the mechanisms underlying this association need elucidating. This study aimed to examine the magnitude of shared genetic and environmental underpinnings of the association between childhood trauma with hypomanic symptoms and high-risk status for bipolar disorder (BD) using a twin design. Gene–environment correlations and interactions between childhood trauma and polygenic scores (PGS) for psychiatric and neurodevelopmental conditions were also investigated.

Childhood trauma was reported using the Avon “Life at 22+” questionnaire by 8,464 individuals from a community twin sample. Self-reported hypomanic symptoms were assessed using the Mood Disorder Questionnaire at age 26 by 7,748 participants. PGS for psychiatric and neurodevelopment conditions were derived from independent published discovery samples.

Childhood trauma was significantly associated with hypomanic symptoms (β = 0.23, 95% CI: 0.20–0.25) and being at high-risk for BD (OR = 1.77, 95% CI: 1.59–1.98). These associations were strongly influenced by genetic factors (bivariate heritability range: 0.51–0.90). Gene–environment correlations were found between childhood trauma and the PGS for six conditions: Major Depressive Disorder (MDD), schizophrenia, Attention-Deficit Hyperactivity Disorder, anxiety disorders, Post-Traumatic Stress Disorder, and BD II (β range = −0.19–0.11). The MDD-PGS was found to significantly interact with childhood trauma in hypomania (β = 0.01, p < .05).

The associations between childhood trauma and subclinical hypomania and high-risk for BD were partially attributed to shared genetic factors. These associations were also moderated by MDD-PGS. Gene–environment correlations were detected between childhood trauma and polygenic vulnerability to psychiatric and neurodevelopmental conditions. The etiology of hypomania and BD is likely the result of a confluence of genetic and environmental factors, and research in this area should account for potential genetic confounding.

Climate change has contributed to an increase in extreme temperatures globally, with mounting evidence suggesting a relationship between extreme temperature exposure and mental health. This review synthesizes findings on the impacts of extreme temperatures on several aspects of mood disorders.

This systematic review was conducted following the Preferred Reporting Items for Systematic reviews and Meta-Analyses guideline. Major databases (MEDLINE/PubMed, PsycINFO, Scopus, and Web of Science) were searched for eligible studies. Study quality was assessed using the Joanna Briggs Institute critical appraisal tool.

From the 471 identified reports, 22 were included in the final review. The included studies were set in Asia (n = 8), North America (n = 7), Europe (n = 5), and Oceania (n = 2), encompassing diverse designs (case-crossover, cohort, and cross-sectional). High temperatures were linked to increased hospital admissions for mood disorders, especially among adolescents, women, and the elderly. Seventeen studies identified significant correlations between extreme heat and emergency department visits, whereas others reported minimal associations. Short-term exposure to humidity was a risk factor for increased mood disorder symptoms. Extreme cold exposure was associated with increased outpatient visits and heightened symptom severity for depressive disorders, particularly among older adults and females. The included studies were generally of moderate quality.

The evidence from this review underscores the need for multi-pronged interventions, innovative practices, and public health strategies – including urban planning, patients’ and public education, use of telemedicine, and policy measures – to mitigate the mental health consequences of climate change-driven extreme temperature events.

Youth exposed to poverty and adversities like violence are at higher risk of mental health problems (MHP), but whether antipoverty interventions can reduce this risk remains unclear. We examined the association between participation in the Brazilian Cash Transfer Program (BFP) and mental health of children/adolescents exposed to different levels of adversity.

Observational study using nearest-neighbor propensity score matching to compare BFP participants and non-participants from the Itaboraí study, a community-based cohort of 1,189 children/adolescents (6–15 years) assessed at two waves (meaninterval: 12.9 months).Measures included the Child Behaviour Checklist (CBCL) externalizing, internalizing, and total problems scales; an adversity score derived from a confirmatory factor analysis on violence victimization at home (WorldSAFE), school (threat/maltreatment/being chased by peers) and community (Survey of Exposure to Community Violence), and stressful life events (UCLA Posttraumatic Stress Disorder Reaction Index); and BFP exposure for at least 12 months (yes/no). Latent change score models tested whether BFP participation predicted changes in CBCL T-scores, moderated by adversity levels.

A total of 330 BFP participants were matched with 330 non-participants with similar sociodemographic characteristics. Decreases in total (b=−0.124, SE=0.034, p<0.001), externalizing (b=−0.122, SE=0.036, p=0.001), and internalizing problems (b=−0.141, SE=0.033, p<0.001) between baseline and follow-up were observed among BFP participants exposed to higher levels of adversity compared with non-participants.

BFP participation was associated with reduced MHP only among children/adolescents facing high adversity, suggesting the program may help break the cycle between poverty and mental health problems—but benefits are concentrated among the most vulnerable.

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.

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.

Rates of youth anxiety, depression, and self-harm have increased substantially in recent years. Expansion of clinical service capacity is constrained by workforce shortages and system fragmentation, and even substantial investment may not achieve the scale of growth required to address unmet need. Preventive strategies – such as strengthening social cohesion – are therefore essential to alleviate mounting pressures on the mental health system, yet their potential to compensate for these constraints remains unquantified.

This study employed a system dynamics model to explore the interplay between service capacity and social cohesion on youth mental health outcomes. The model was developed for a population catchment characterized by a mix of urban, suburban, and rural communities. Primary outcomes were prevalence of psychological distress and mental disorders, and incidence of mental health-related emergency department (ED) presentations among young people aged 15–24 years, projected over a 10-year time horizon. Two-way sensitivity analyses of services capacity and social cohesion were conducted.

Changes to specialized mental health services capacity growth had the greatest projected impact on youth mental health outcomes. Heatmaps revealed thresholds where improvements in social cohesion could offset negative impacts of constrained service capacity. For example, if services capacity growth was sustained at only 80% of baseline, improving social cohesion could still reduce years lived with symptomatic disorder by 6.3%. To achieve a similar scale of improvement without improvements in social cohesion, the current growth rate in services capacity would need to be more than double. Combining a doubling of service capacity growth with reversing the decline in social cohesion could reduce ED presentations by 25.6% and years with symptomatic mental disorder by 19.2%. A doubling of specialized, headspace, and GP services capacity growth could prevent 24,060 years lived with symptomatic mental disorder among youth aged 15–24.

This study provides a quantitative framework for understanding how social cohesion improvements can help mitigate workforce constraints in mental health systems, demonstrating the value of integrating service expansion with social cohesion enhancement strategies.

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.

Common mental disorders (CMDs) are significant causes of work disability. Low socioeconomic status (SES) is a known risk factor for CMDs and work disability, one possible reason being poorer treatment adherence. We aimed to study the realization of pharmacological treatment and antidepressant adherence in patients with CMDs 3 years before and 3 years after being granted a disability pension (DP) and the role of SES in this. We also studied whether antidepressant adherence is associated with return to work (RTW) after a temporary DP.

Information on all persons granted a DP due to CMD between 2010 and 2012 in Finland (n = 12,388) was retrieved from national registers, which included medical, socioeconomic, and sociodemographic information of the subjects. We used the PRE2DUP method to estimate drug use periods and regression analyses to study associations between SES, taking medications, and RTW.

Prevalence of taking antidepressants increased towards the DP grant and decreased thereafter, but 14.6% of subjects did not take antidepressants or antipsychotics at all during the study period. Of SES factors, only income was positively associated with antidepressant adherence, lasting over a year. Antidepressant adherence was not associated with RTW.

An alarming result was the absence of recommended medication in fewer than every seventh patient estimated to be disabled due to pharmacologically treatable psychiatric disorders. Contrary to expectations, SES had only a minor predictive role in antidepressant adherence in this patient group. Contrary to taking antidepressants, rehabilitation was associated with RTW. The results adduced the importance of CMD treatment optimization regardless of SES.

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.

Unhealthy lifestyle behaviors are prevalent among people with mental illness (MI), affecting their physical and mental health. Most research has focused on the isolated effects of lifestyle behaviors, leaving the interconnectedness between these behaviors and health outcomes unexplored. This study aimed to examine these relationships and identify the most strongly connected lifestyle behavior or health outcome within a network.

We conducted a cross-sectional study with 423 inpatients with MI, receiving care as usual. Lifestyle behaviors, physical and mental health outcomes were assessed through questionnaires and routine data. A Gaussian Graphical Model was estimated, and strength centrality was calculated to identify the most influential nodes.

Mean age was 55.5 years, 42% were female, and 41% were diagnosed with schizophrenia. Psychological and physical quality of life (QoL), nighttime sleep problems, and overall sleep quality were the most strongly connected nodes. Sleep was strongly associated with physical QoL. Furthermore, there were negative associations between healthy food intake and cholesterol ratio, and positive associations between daily doses of antipsychotics and length of hospital stay. Node strength was stable (CS(cor = 0.7) = 0.75). No clear pattern emerged among other lifestyle behaviors and health outcomes.

This study offers insights into the interrelatedness of lifestyle behaviors and health outcomes. Addressing sleep problems could enhance QoL and potentially influence other health outcomes. Psychological and physical QoL were also strongly associated, emphasizing the importance of perceived well-being in health outcomes. Future research could explore causal pathways to identify treatment targets to improve care.