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Introduction: This study examined the prevalence and correlates of probable mental health disorders, including psychological distress, somatization, depression, anxiety, phobic anxiety (PHO), obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD), and insomnia among Chinese primary health care (PHC) physicians and nurses amid the post-pandemic period in 2022. Method: Region-stratified sampling was conducted to recruit a national sample of 4,246 respondents from 31 July 2022 to 12 August 2022. A total of 692 primary healthcare institutions were identified in 30 provincial-level administrative regions of China. An online questionnaire was used for assessing probable mental health disorders using Symptoms Checklist-90-Revised (SCL-90-R) and PTSD Checklist for DSM-5 (PCL-5), and sleeping problems using Insomnia Severity Index (ISI). Data on demographics and work were also collected. Bivariate analysis and multiple logistic regression were conducted to identify significant correlates of probable mental health disorders. Results: A total of 4,246 valid questionnaires were identified. Results showed that relative to the prevalence of probable mental health disorders among health care workers at the early stage of the pandemic in China, there was an overall decreased prevalence except for somatization, PHO, and OCD among the current PHC physicians and nurses. Multiple logistic regressions showed that significant risk factors of common probable mental health disorders, namely psychological distress, SOM, DEP, ANX, PHO, OCD, PTSD, and insomnia, were female gender, multimorbidity, history of psychiatric disorders, quarantine experience, never asking anyone for help, and overtime work. Conclusion: Attention should be given to preexisting psychiatric and multimorbid conditions, social support, and work-related stressors. Regular assessment and psychological interventions are needed to enhance the mental health of PHC professionals even after public health crisis.

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INTRODUCTION: Justice-involved populations have dramatically higher rates of substance use disorders (SUD) and mental health disorders (MHD) compared to the general population. Despite high rates of SUD and MHD, treatment for this population is often limited and not evidence-based. The cascade of care model estimates drop-offs in the continuum of care from screening to identification of need, referral, care initiation, care engagement, and care completion. Recently, healthcare providers have utilized the cascade of care to improve the continuity of care for people with SUD and MHD in justice settings. The purpose of the current study is to 1) identify typologies that explain the proportion of new intakes that pass through each level of the cascade of care for SUD and MHD, and 2) describe agency-level factors that predict typology assignments and agency ability to assess client flow through the levels of the care cascade. METHOD: Using Latent Class Analysis, we classify 791 agencies serving justice-involved individuals into typologies according to utilization of each stage in the mental health and substance cascades of care. Then, we examined county and agency characteristics that affect three stages of the cascade process: identification of need for behavioral health services, referrals to appropriate services, and treatment initiation. We build on previous work by exploring these patterns for both SUD and MHD treatment. RESULTS: The study identified four SUD/MHD treatment patterns: Low Access, SUD-Focused, High Need-High Access, and Lower Need-High Access classes. Factors influencing typology alignment include location, specialized staff availability, warm hand-off coordination, Medicaid reimbursement, and performance measure tracking. Thirty-nine percent (39 %) of agencies could not be classified because they were unable to report their rate of care along the cascade measures. CONCLUSION: Focusing on factors influencing typology assignment can help counties in assessing service delivery, identifying barriers, and targeting areas for improvements in policies and practices, potentially facilitating long-term changes and overall improvement in the care of individuals with mental health and substance use disorders. Identification of these factors and typologies can improve mental health treatment and access in counties and agencies with large resource barriers or limited attention to mental health treatment.

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BACKGROUND: Comprehensive, timely, and integrated primary care services have been proposed as a response to the increased demand for mental health and substance use services especially among young people. However, little is known about the care utilization patterns of young people with mental and substance use disorders. Our aim was to characterize profiles of care use in young Finnish adults with mental or substance use disorders, and the potential factors associated with the service use profiles. METHODS: Primary and specialized care visits of young adults (16-29 years) diagnosed with a psychiatric or a substance use disorder (n = 7714) were retrieved from the national health care register from years 2020 and 2021. K-Means clustering was used to detect different profiles based on the utilization of care services. Multinomial logistic regression was used to analyze the factors associated with different profiles of care use. RESULTS: Five different profiles were identified: low care use (75%), and use of principally primary health care (11%), student health services (9%), psychiatric services (5%), or substance use services (1%). Female gender was associated with membership in the primary health care focused profiles (OR 2.58 and OR 1.99), and patients in the primary health care and student health services profiles were associated with a better continuity of care (OR 1.04 and OR 1.05). Substance use disorders were associated with psychiatric service use (OR: 2.51) and substance use services (OR: 58.91). Living in smaller municipalities was associated with lower service use when comparing to the largest city. CONCLUSIONS: Young adults diagnosed with a psychiatric or a substance use disorder had remarkably different and heterogeneous care patterns. Most of the participants had low care utilization, indicating potential gaps in service use and care needs. Measures should be taken to ensure equal access to and availability of mental health services. The profiles that utilized the most services highlights the importance of integrated services and patient-oriented improvement of treatment.

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Child and adolescent mental health are major public health concerns in the US. Overall, 20% of US children have a reported mental health condition, while an estimated 40% will be diagnosed with one by age 18. Despite these concerns, little is known about factors associated with access to mental health services among children and adolescents. We analyzed data from a sample of 6655 children (aged 6 to 17 years) with either anxiety and/or depression drawn from the 2020-2021 National Survey of Children's Health (NSCH). A multivariable logistic regression model was fit to investigate predisposing, enabling, and need factors associated with caregiver's (i.e., parent or other guardian) perceived access to mental health services for their children. Approximately 50.8% of caregivers perceived obtaining mental health services for their children to be somewhat difficult, very difficult, or impossible. Children meeting criteria for having a medical home had lower odds of experiencing such difficulties (adjusted [a]OR = 0.38; 95% CI: 0.30-0.49). Further, compared to children who sometimes or never had health insurance coverage for mental or behavioral health needs, children who were always insured (aOR: 0.19; 95% CI 0.14, 0.25) and those who usually had coverage (aOR: 0.38; 95% CI 0.28, 0.51) had lower odds of experiencing perceived difficulties in obtaining care. The results indicate several enabling and need predictors of perceived access to mental health services--highlighting potential structural barriers to care access. Efforts to address access challenges should adopt a multifaceted approach and be tailored to families living in poverty, those with limited health coverage, and minoritized children with less than optimal general health.

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OBJECTIVES: Mass violence incidents (MVIs) involving firearms, commonly referred to as "mass shootings" have become increasingly frequent in the United States. These shootings often result in immediate casualties and have far-reaching psychological impacts on survivors, witnesses, and the broader community. This study aimed to assess the prevalence and risk factors of depression within affected communities. STUDY DESIGN: Population-based cross-sectional study. METHODS: Data were collected from six communities affected by MVIs involving firearms that occurred between 2015 and 2020. Participants were randomly selected through address-based sampling, and depression was assessed using Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) diagnostic-level major depressive episode (MDE). RESULTS: Overall, the MDE prevalence was 17·2% since the MVI, 15·4% in the past year, and 8·2% in the past month. Significant risk factors for MDE since MVIs include high exposure to the incident (adjusted relative risk [aRR] = 1·32, 95% confidence interval [CI]: 19-1·60), being aged 18-29 years (aRR = 2·52, 95% CI: 1·61-3·95), being a woman (aRR = 1·58, 95% CI: 1·27-1·96), having low social support (aRR = 1·80, 95% CI: 1·46-2·22), and experiencing past sexual or physical trauma (aRR = 2·20, 1·52-3·19). CONCLUSION: Our study reveals a high burden of depression within communities affected by MVIs involving firearm use. Persons with high exposure to the MVIs and certain demographic groups had greater risks for MDE. These findings highlight the long-term mental health burden in communities affected by MVIs and underscore the necessity of providing mental health services in its aftermath.

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Background: Rates of suicide have increased by over 35% since 1999. Despite concerted efforts, our ability to predict, explain, or treat suicide risk has not significantly improved over the past 50 years. Objective: The aim of this study was to use large language models to understand natural language use during public web-based discussions (on Reddit) around topics related to suicidality. Methods: We used large language model-based sentence embedding to extract the latent linguistic dimensions of user postings derived from several mental health-related subreddits, with a focus on suicidality. We then applied dimensionality reduction to these sentence embeddings, allowing them to be summarized and visualized in a lower-dimensional Euclidean space for further downstream analyses. We analyzed 2.9 million posts extracted from 30 subreddits, including r/SuicideWatch, between October 1 and December 31, 2022, and the same period in 2010. Results: Our results showed that, in line with existing theories of suicide, posters in the suicidality community (r/SuicideWatch) predominantly wrote about feelings of disconnection, burdensomeness, hopeless, desperation, resignation, and trauma. Further, we identified distinct latent linguistic dimensions (well-being, seeking support, and severity of distress) among all mental health subreddits, and many of the resulting subreddit clusters were in line with a statistically driven diagnostic classification system-namely, the Hierarchical Taxonomy of Psychopathology (HiTOP)-by mapping onto the proposed superspectra. Conclusions: Overall, our findings provide data-driven support for several language-based theories of suicide, as well as dimensional classification systems for mental health disorders. Ultimately, this novel combination of natural language processing techniques can assist researchers in gaining deeper insights about emotions and experiences shared on the web and may aid in the validation and refutation of different mental health theories.

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Background: Integrating mental health services into HIV clinics is recognized as a promising strategy. However, the literature reveals gaps, particularly in the unique context of Northern Uganda, where factors such as historical conflict, stigma, and limited resources pose potential barriers. Material and Methods: This qualitative study, conducted between October and November 2023, employed a phenomenological design. The study involved primary healthcare facilities across diverse urban and rural settings, focusing on healthcare providers, village health teams, and service users. A purposive sampling approach ensured diverse demographics and perspectives. In-depth interviews and focus group discussions were conducted, with healthcare providers and service users participating individually, and village health teams engaged in group discussions. Thematic analysis was employed during data analysis. Results: Findings revealed a predominance of females among healthcare providers (18 of 30) and service users (16 of 25), as well as in VHTs. Average ages were 33.4 (healthcare providers), 38.5 (service users), and 35.1 (VHTs). Most healthcare providers (15) held diplomas, while 12 service users and 4 VHTs had certificates. The majority of healthcare providers (n=20) and 4 VHTs had 6-10 years of experience. Thematic analysis highlighted three key themes: benefits of integrated mental health services, implementation challenges, and the role of community engagement and cultural sensitivity. Conclusion: This study contributes valuable insights into the integration of mental health services into HIV clinics in Northern Uganda. The perceived benefits, challenges, and importance of cultural sensitivity and community engagement should guide future interventions, fostering a holistic approach that enhances the overall well-being of individuals living with HIV/AIDS in the region. Policymakers can use this information to advocate for resource allocation, training programs, and policy changes that support the integration of mental health services into HIV clinics in a way that addresses the identified challenges.

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The current study evaluated the Kiswahili version of General Health Questionnaire (GHQ-12) in a Kenyan context comprising of women exposed to gender-based violence. Participants were randomly drawn from community sampling using household screening methods in peri-urban areas in Nairobi. A total of 1,394 participants with varying levels of literacy (years of education: mean [M] = 9.42; standard deviation [SD] = 3.73) and aged between 18 and 89 years were recruited for the study. The observed factor structure of the GHQ-12 was evaluated using six most tested models querying the dimensionality of the instrument insofar as the impacts of positive and negative wording effects in driving multidimensionality. Results from the confirmatory factor analysis supported a bifactor model, consisting of a general distress factor and two separate factors representing common variance due to the positive and negative wording of items. Overall, the findings support the use of the Kiswahili version of the GHQ-12 as a unidimensional construct with method-specific variance owing to wording effects. Importantly, GHQ-12 responses from a sample of Kenyan women with relatively low levels of literacy are congruent with the factor structure observed in other cross-cultural settings in low- and-middle-income countries.

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Background: Identification of mental health disorders during childhood is crucial for healthy 'adult roles' in the society, so this study aimed to estimate the magnitude of 'any mental health disorder' and to find out its correlates among children attending the pediatric out-patient department (OPD) of a medical college in West Bengal and to estimate parental stress among their parents. Materials and Methods: It was a descriptive cross-sectional study done in the pediatric OPD of Burdwan Medical College, West Bengal, during July-December, 2021. The calculated size of 288 children aged between 4 and 12 years and attending with either of their parents was selected through systematic random sampling. One of their parents (preferably mother) was interviewed using a schedule, containing a pre-validated pediatric symptom checklist and parental stress scale. Ethical clearance was obtained from the Institutional Ethics Committee. Data were analyzed using SPSS-v23. Results: The median age of the children was 7 years (5-8 y.). The majority of them were male (57.6%), lived in urban areas (59.0%), and lived in joint families (57.6%). One-fifth (20.5%) of the children were found to have any mental health disorder (AMHD). Living in an urban area (aOR = 2.5, 95% CI: 1.1-5.7), belonging to a nuclear family (aOR = 3.6, 95% CI: 1.7-8.1), and belonging to a family with social problems (aOR = 7.8, 95% CI: 2.3-27.2) were significant correlates of AMHD. Parental stress [median: 60 (55-63)] was found significantly higher (P < 0.001) among parents of children with AMHD as compared to the parents of others. Conclusion: The magnitude of AMHD was high in this study, indicating toward the necessity of implementing opportunistic screening and appropriate public health action.

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OBJECTIVES: Mental health disorder is highly prevalent worldwide, and factors attributable to its development have not been fully understood. We aimed to explore the association of adverse childhood experiences (ACEs) with mental health disorder using data from the China Health and Retirement Longitudinal Study (CHARLS). METHODS: CHARLS is an ongoing nationwide survey enrolling 17,708 residents aged ≥45 years in China. Total 20 ACE indicators were extracted. Unmeasured confounding and potential mediation were assessed, and effect-size estimates are expressed as odds ratio (OR) with 95 % confidence interval (CI). RESULTS: Of 10,961 assessable participants with complete information, 3652 were reported to have mental health disorder. The risk for mental health disorder was increased by 20.7 % for participants with one to less than four events of ACEs (OR: 1.207, 95 % CI: 0.711 to 2.049), and this number reached 102.7 % for participants with four or more events (OR: 2.027, 95 % CI: 1.196 to 3.436) relative to those with no ACE. In subgroup analyses, between-group risk estimates differed significantly for residence, marital status, personal asset, life satisfaction, and living standard. The E-value of 2.35 for ACEs of 4 or more events indicated the low likelihood of unmeasured confounders. In mediation analyses, the proportion eliminated was 5.1 % for continuous ACEs and 6.1 % for categorical ACEs (both P < 0.001). DISCUSSION: Our findings indicate that ACEs, especially with four or more events, can predict the significant risk of mental health disorder, underscoring the necessity of screening mental illness based on ACEs to reduce the resultant morbidity and mortality in China.

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BACKGROUND: The COVID-19 pandemic has resulted in a greater workload in the health care system. Therefore, health care professionals (HCPs) continue to experience high levels of stress, resulting in mental health disorders. From a preventive perspective, building resilience has been associated with reduced stress and mental health disorders and promotes HCPs' intent to stay. Despite the benefits of resilience training, few studies provided an in-depth understanding of the contextual factors, implementation, and mechanisms of impact that influences the sustainability of resilience programs. Therefore, examining target users' experiences of the resilience program is important. This will provide meaningful information to refine and improve future resilience programs. OBJECTIVE: This qualitative study aims to explore HCPs' experiences of participating in the web-based Building Resilience At Work (BRAW) program. In particular, this study aims to explore the contextual and implementational factors that would influence participants' interaction and outcome from the program. METHODS: A descriptive qualitative approach using individual semistructured Zoom interviews was conducted with participants of the web-based resilience program. A framework analysis was conducted, and it is guided by the process evaluation framework. RESULTS: A total of 33 HCPs participated in this qualitative study. Three themes depicting participants' experiences, interactions, and impacts from the BRAW program were elucidated from the framework analysis: learning from web-based tools, interacting with the BRAW program, and promoting participants' workforce readiness. CONCLUSIONS: Findings show that a web-based asynchronous and self-paced resilience program is an acceptable and feasible approach for HCPs. The program also led to encouraging findings on participants' resilience, intent to stay, and employability. However, continued refinements in the components of the web-based resilience program should be carried out to ensure the sustainability of this intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT05130879; https://clinicaltrials.gov/ct2/show/NCT05130879.

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INTRODUCTION: E-cigarette and cannabis use has been linked to various health risks, including respiratory and cardiovascular conditions. Yet, extant knowledge about the risk factors for exclusive and dual use of e-cigarettes and cannabis is limited, especially among immigrants. We examined exclusive e-cigarette and cannabis use and their dual use associated with mental health disorders among immigrants and U.S.-born. METHODS: We analyzed national cross-sectional data collected between May 13, 2021, and January 9, 2022, among adults aged >18 years (n= 4766) living in U.S. Multinomial logistic regression analyses were conducted to model the associations of exclusivity and dual-use (reference group= non-use) with anxiety/depression. RESULTS: The dual-use prevalence was higher than exclusive e-cigarette and cannabis use, especially among U.S.-born (dual use= 14.79% vs. cannabis use= 13.53% vs. e-cigarette use= 7.11%) compared to immigrants (dual use= 8.23% vs. cannabis use= 5.03% vs. e-cigarette use= 6.31%). Immigrants had lower risks of exclusive cannabis and dual use compared to U.S.-born. Anxiety/depression was associated with higher risks of exclusive cannabis use and dual use across immigration status, but was associated with exclusive e-cigarette use among only immigrants. While effect sizes of dual-use associated with anxiety/depression were higher among U.S.-born, the effect sizes of exclusive e-cigarette and cannabis use associated with anxiety/depression were higher among immigrants. CONCLUSIONS: The findings revealed significant mental health risks for e-cigarette, cannabis, and their dual use among immigrants and U.S.-born, especially among U.S.-born. These findings highlight the need for public health research and interventions to consider immigration status-related disparities in substance use.

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Despite extensive research efforts to mechanistically understand late-onset Alzheimer's disease (LOAD) and other complex mental health disorders, curative treatments remain elusive. We emphasize the multiscale multicausality inherent to LOAD, highlighting the interplay between interconnected pathophysiological processes and risk factors. Systems thinking methods, such as causal loop diagrams and systems dynamic models, offer powerful means to capture and study this complexity. Recent studies developed and validated a causal loop diagram and system dynamics model using multiple longitudinal data sets, enabling the simulation of personalized interventions on various modifiable risk factors in LOAD. The results indicate that targeting factors like sleep disturbance and depressive symptoms could be promising and yield synergistic benefits. Furthermore, personalized interventions showed significant potential, with top-ranked intervention strategies differing significantly across individuals. We argue that systems thinking approaches can open new prospects for multifactorial precision medicine. In future research, systems thinking may also guide structured, model-driven data collection on the multiple interactions in LOAD's complex multicausality, facilitating theory development and possibly resulting in effective prevention and treatment options.

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Evening chronotype individuals experience pain more often than morning chronotypes, but relationships with pain sensitivity have rarely been studied. We examined whether chronotype is associated with pressure pain sensitivity, with special reference to mental health disorders, insomnia, and chronic musculoskeletal (MSK) pain as potential moderating factors. The study sample consisted of members of the Northern Finland Birth Cohort 1966 aged 46. Pressure pain threshold and tolerance were measured via the standardized protocol, categorized as lowest quartile versus others. Chronotype (morning [M; the reference], intermediate [I], and evening [E]) was defined using the Short Morningness-Eveningness questionnaire. Sex-stratified binary logistic regression models were separately adjusted for education, body mass index, long-term diseases (fully adjusted model), and for mental health disorders, insomnia, and chronic MSK pain (a residual confounding analysis). Interaction terms (Chronotype × Mental health/insomnia/chronic MSK pain) were tested. The study had 2,132 males and 2,830 females. The E-type males had 1.5-fold odds of having a low pain threshold (fully adjusted odds ratio [OR] 1.45, 95% confidence interval 1.05-2.00) and pressure pain tolerance (fully adjusted OR 1.47, 1.07-2.02), in comparison to M-types. Having a mental health disorder intensified the association with low pain threshold fourfold (4.06, 1.56-10.6). Being an E-type female was also associated with a low pain threshold, but the association was statistically nonsignificant (fully adjusted OR 1.18, .90-1.53). No statistically significant interactions were found among females. These results emphasize the role of chronotype in pain sensitivity and add an understanding of pain experience in light of innate circadian types. PERSPECTIVE: Male evening chronotypes are more sensitive to pain than morning chronotypes. Diagnosed mental health disorders in particular indicate a low pain threshold for evening chronotype males.

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Individuals with a psychiatric diagnosis and those with a history of trauma are at high risk for depression and posttraumatic stress symptoms (PTSS) following exposure to new traumatic events. Nevertheless, research is scarce on how having both a psychiatric diagnosis and a trauma history affect reactions to new traumatic events, and how different trauma types may affect individuals with a psychiatric diagnosis. We thus examined whether different stressful contexts (War and COVID-19) affected individuals with and without a psychiatric diagnosis differentially and whether results might be explained by prior trauma exposure. In the same cohort, we assessed depression and PTSS during wartime (2014), routine time (2016), and during the COVID-19 pandemic (2020) in a sample with (n = 89) and without (n = 104) a self-reported psychiatric diagnosis. This cohort was recruited during the 2014 Israel-Gaza War using social media, snowballing and outreach to mental health rehabilitation centres. We used a linear mixed modelling approach on data from the entire sample, as well as on the two study groups separately. We found that trauma history predicted PTSS and depression whereas a history of psychiatric diagnosis did not. Regarding trauma types, we found that individuals in the psychiatric diagnosis group relative to themselves had more symptoms during COVID-19 compared to war and routine time, while those without diagnosis had more PTSS and depression symptoms during wartime compared to routine time and COVID-19. In conclusion, a traumatic past may have an important influence on reactions to different types of traumatic events. Distinct traumatic events may affect individuals with or without a psychiatric diagnosis differentially.

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BACKGROUND AND AIM: Psychiatric disorders are increasing globally. Especially when these disorders affect working people, this places a financial burden on society due to long-term sick leave, the incapacity to work and the inability to earn and pay taxes. General practitioners (GPs) are often the first health professionals to be consulted by those suffering from mental health disorders. This study investigated the experiences of GPs regarding their patients with mental health disorders and identified factors that are important for a successful return to work. METHODS: This qualitative study used semi-structured interviews to explore the opinions of GPs (n = 12) working in Munich, Germany, or its metropolitan area. The interviews were audio-recorded, transcribed, and analyzed using the reflexive thematic analysis method. RESULTS: GPs think of themselves as important players in the rehabilitation process of patients with mental health disorders. In their daily routine, they face many obstacles to ensure the best treatment and outcome for their patients. They also suffer from poor collaboration with other stakeholders, such as psychiatric hospitals, therapists or employers. They indicate that the mental health disorder of each patient is unique, including the barriers to and possibilities of a successful return to work. Additionally, the workplace appears to play a crucial role in the success rate of re-entry into work. It can exacerbate the course of mental health disorders or support recovery. Fear, shame and stigmatization of the patients are personal factors responsible for prolonged sick leave. CONCLUSION: We conclude that GPs believe that they can have a major impact on the rehabilitation of patients with mental health disorders. As such, special focus should be placed on supporting them in this context.

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Women are at greater risk of common mental disorders. The intersectionality concept provides a framework to examine the effects of multiple social disadvantages on women's mental health. We conducted a systematic review to collect and analyse information to identify the quantitative methodologies and study designs used in intersectional research to examine women's mental health and multiple social disadvantages. Included studies used accepted statistical methods to explore the intersectional effects of gender and one or more types of social disadvantage from the PROGRESS-Plus inequity framework: a place of residence, race/ethnicity, occupation, gender/ sex, religion, education, socioeconomic status, social capital (O'Neill et al. J Clin Epidemiol 67:56-64, 2014). The scope of this systematic review was limited to studies that analysed common mental disorders in women and men comparatively. Studies focusing on only one gender were excluded, ensuring a comprehensive comparative analysis of the intersection of social disadvantages in mental health.Twelve papers were included in the narrative synthesis (Table 1). Eight of the included papers (67%) reported an intersectional effect of gender and one or more additional types of social disadvantage. The multiplicative effect of gender and socioeconomic status on the risk of common mental disorders was the most commonly reported interaction. This systematic review shows that multiplicative and simultaneous interactions of multiple social disadvantage increase the risk of common mental disorders experienced by women. Moreover, it underlines the potential for quantitative research methods to complement qualitative intersectionality research on gender and mental health. The findings of this systematic review highlight the importance of multiple social disadvantage in understanding the increased risk of mental health experienced by women.

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Background: Severe self-harm leading to extensive hospitalization generates extreme challenges for patients, families, and health services. Controversies regarding diagnoses and health care often follow. Most evidence-based treatments targeting self-harm are designed for borderline personality disorder (BPD). However, current knowledge about mental health status among individuals with severe self-harm is limited. Objectives: To investigate psychopathology among patients extensively hospitalized due to severe or frequent self-harming behaviors. Method: A cross sectional study (period 2019-2021) targeting psychiatric inpatients (>18 years) with frequent (>5) or long (>4 weeks) admissions last year due to self-harm. The target sample (N = 42, from 12 hospitals across all Norwegian health regions) was compared to individuals admitted to outpatient personality disorder (PD) treatment within specialist mental health services in the same period (N = 389). Clinicians performed interviews on self-harm and psychopathology, supplemented by self-report. Results: The target sample were young adults, mainly female, with considerable hospitalization and self-harming behaviors, both significantly more extensive than the comparison group. The majority in both groups reported self-harm onset <18 years. The target sample reported increasing severity of self-harm acts and suicidal intention over time. Both samples had high levels of childhood trauma, impaired personality functioning, and a majority fulfilled criteria for PD. In the target sample, comorbid depression, PTSD, anxiety disorders, and substance use occurred more frequently and in 50%, psychosis/dissociative disorder/autism spectrum disorder/ADHD was reported (outpatient comparison sample: 9%). 35% in the target sample screened over cut-off for possible intellectual disability. The target sample reported poor psychosocial functioning and health-related quality of life - greater impairment than the outpatient comparison sample. Conclusion: The study reveals that severe self-harm inpatients have complex psychopathology and highlights the importance of individualized and thorough assessment among patients with severe and/or repetitive self-harm.