Music listening has been used as a sleep intervention among different populations. This systematic review and meta-analysis aimed to explore whether music is an effective sleep aid in adults with mental health problems.

We searched for studies investigating music interventions for sleep in adults with mental health problems. The primary outcome was subjective sleep quality; secondary outcomes were objective sleep outcomes, quality of life, and other mental health symptoms. Risk of bias assessment (RoB1) and random-effect model were used for the systematic review and meta-analyses.

The initial screening (n = 1492) resulted in 15 studies in the systematic review. Further qualified studies led to the meta-analysis of sleep quality (n = 7), depression (n = 5), and anxiety (n = 5). We found that the music listening intervention showed a potential effect on subjective sleep quality improvement compared to treatment-as-usual or no-intervention groups. When excluding an outlier study with an extreme effect, the meta-analysis showed a moderate effect on sleep quality (Hedges’ g = −0.66, 95% CI [−1.19, −0.13], t = −3.21, p = 0.0236). The highest risk of bias was the blinding of participants and researchers due to the nature of the music intervention.

Our results suggest that music interventions could have the potential to improve sleep quality among individuals with mental health problems, even though more high-quality studies are needed to establish the effect fully.

Stressors across the lifespan are associated with the onset of major depressive disorder (MDD) and increased severity of depressive symptoms. However, it is unclear how lifetime stressors are related to specific MDD subtypes. The present study aims to examine the relationships between MDD subtypes and stressors experienced across the lifespan while considering potential confounders.

Data analyzed were from the Zone d’Épidémiologie Psychiatrique du Sud-Ouest de Montréal (N = 1351). Lifetime stressors included childhood maltreatment, child–parent bonding, and stressful life events. Person-centered analyses were used to identify the clusters/profiles of the studied variables and multinomial logistic regression analyses were performed to examine the relationships between stressors and identified MDD subtypes. Intersectional analysis was applied to further examine how distal stressors interact with proximal stressors to impact the development of MDD subtypes.

There was a significant association between proximal stressors and melancholic depression, whereas severe atypical depression and moderate depression were only associated with some domains of stressful life events. Additionally, those with severe atypical depression and melancholic depression were more likely to be exposed to distal stressors such as childhood maltreatment. The combinations of distal and proximal stressors predicted a greater risk of all MDD subtypes except for moderate atypical depression.

MDD was characterized into four subtypes based on depressive symptoms and severity. Different stressor profiles were linked with various MDD subtypes. More specific interventions and clinical management are called to provide precision treatment for MDD patients with unique stressor profiles and MDD subtypes.

Major depressive disorder (MDD) is a leading cause of disability and premature mortality. This study compared the overall survival (OS) between patients with MDD and non-MDD controls stratified by gender, age, and comorbidities.

This nationwide population-based cohort study utilized longitudinal patient data (01/01/2010 – 12/31/2020) from the Hungarian National Health Insurance Fund database, which contains healthcare service data for the Hungarian population. Patients with MDD were selected and matched 1:1 to those without MDD using exact matching. The rates of conversion from MDD to bipolar disorder (BD) or schizophrenia were also investigated.

Overall, 471,773 patients were included in each of the matched MDD and non-MDD groups. Patients with MDD had significantly worse OS than non-MDD controls (hazard ratio [HR] = 1.50; 95% CI: 1.48−1.51; males HR = 1.69, 95% CI: 1.66–1.72; females HR = 1.40, 95% CI: 1.38–1.42). The estimated life expectancy of patients with MDD was 7.8 and 6.0 years less than that of controls aged 20 and 45 years, respectively. Adjusted analyses based on the presence of baseline comorbidities also showed that patients with MDD had worse survival than non-MDD controls (adjusted HR = 1.29, 95% CI: 1.28–1.31). After 11 years of follow-up, the cumulative conversions from MDD to BD and schizophrenia were 6.8 and 3.4%, respectively. Converted patients had significantly worse OS than non-converted patients.

Compared with the non-MDD controls, a higher mortality rate in patients with MDD, especially in those with comorbidities and/or who have converted to BD or schizophrenia, suggests that early detection and personalized treatment of MDD may reduce the mortality in patients diagnosed with MDD.

While several risk factors for schizophrenia have been identified, their individual impacts are rather small. The relative independent and cumulative impacts of multiple risk factors on disease risk and age of onset warrant further investigation.

We conducted a register-based case–control study including all individuals receiving a schizophrenia spectrum disorder in Denmark from 1973 to 2018 (N = 29,142), and a healthy control sample matched 5:1 on age, sex, and parental socioeconomic status (N = 136,387). Register data included parental history of psychiatric illness, birth weight, gestational age, season of birth, population density of birthplace, immigration, paternal age, and Apgar scores. Data were analysed using logistic regression and machine learning.

Parental history of psychiatric illness (OR = 2.32 [95%CI 2.21–2.43]), high paternal age (OR = 1.30 [1.16–1.45]), and low birth weight (OR = 1.28 [1.16–1.41]) increased the odds of belonging to the patient group. In contrast, being a second-generation immigrant (OR = 0.65 [0.61–0.69]) and high population density of the birthplace (OR = 0.92 [0.89–0.96]) decreased the odds. The findings were supported by a decision tree analysis where parental history, paternal age, and birth weight contributed most to diagnostic classification (ACCtest = 0.69, AUCtest = 0.59, p < 0.001). Twenty percent of patients were child-onset cases. Here, female sex (OR = 1.82 [1.69–1.97]) and parental psychiatric illness (OR = 1.62 [1.49–1.77]) increased the odds of receiving the diagnosis <18 years.

Multiple early factors contribute independently to a higher psychosis risk, suggesting cumulative effects leading to symptom onset. Routine assessments of the most influential risk factors could be incorporated into clinical practise. Being female increased the risk of diagnosis during childhood, suggesting sex differences in the developmental trajectories of the disorder.

Major depressive disorder (MDD) is one of the most prevalent medical conditions worldwide. Different factors were found to play a role in its etiology, including environmental ones (e.g., air pollution). The aim of this study was to evaluate the association between air pollution exposure and MDD severity.

Four hundred sixteen MDD subjects were recruited. Severity of MDD and functioning were evaluated through five rating scales: Montgomery–Asberg Depression Rating Scale (MADRS), Hamilton Depression Rating Scale (HAMD), Clinical Global Impression (CGI), Global Assessment of Functioning (GAF), and Sheehan Disability Scale (SDS). Daily mean estimates of particulate matter with diameter ≤10 (PM10) and 2.5 μm (PM2.5), nitrogen dioxide (NO2), and apparent temperature (AT) were estimated based on subjects’ residential addresses. Daily estimates of the 2 weeks preceding recruitment were averaged to obtain cumulative exposure. Multivariate linear and ordinal regression models were applied to assess the associations between air pollutants and MDD severity, overall and stratifying by hypersusceptibility and AT.

Two-thirds of subjects were women and one-third had a family history of depression. Most women had depression with symptoms of anxiety, while men had predominantly melancholic depression. NO2 exposure was associated with worsening of MDD severity (HAMD: β = 1.94, 95% confidence interval [CI], [0.41–3.47]; GAF: β = −1.93, 95% CI [−3.89 to 0.02]), especially when temperatures were low or among hypersusceptible subjects. PM exposure showed an association with MDD severity only in these subgroups.

Exposure to air pollution worsens MDD severity, with hypersusceptibility and lower temperatures being exacerbating factors.

Cognitive impairment (CI) is one of the most prevalent and burdensome consequences of COVID-19 infection, which can persist up to months or even years after remission of the infection. Current guidelines on post-COVID CI are based on available knowledge on treatments used for improving CI in other conditions. The current review aims to provide an updated overview of the existing evidence on the efficacy of treatments for post-COVID CI.

A systematic literature search was conducted for studies published up to December 2023 using three databases (PubMed–Scopus–ProQuest). Controlled and noncontrolled trials, cohort studies, case series, and reports testing interventions on subjects with CI following COVID-19 infection were included.

After screening 7790 articles, 29 studies were included. Multidisciplinary approaches, particularly those combining cognitive remediation interventions, physical exercise, and dietary and sleep support, may improve CI and address the different needs of individuals with post-COVID-19 condition. Cognitive remediation interventions can provide a safe, cost-effective option and may be tailored to deficits in specific cognitive domains. Noninvasive brain stimulation techniques and hyperbaric oxygen therapy showed mixed and preliminary results. Evidence for other interventions, including pharmacological ones, remains sparse. Challenges in interpreting existing evidence include heterogeneity in study designs, assessment tools, and recruitment criteria; lack of long-term follow-up; and under-characterization of samples in relation to confounding factors.

Further research, grounded on shared definitions of the post-COVID condition and on the accurate assessment of COVID-related CI, in well-defined study samples and with longer follow-ups, is crucial to address this significant unmet need.

We need to better understand the risk factors and predictors of medication-related weight gain to improve metabolic health of individuals with schizophrenia. This study explores how trajectories of antipsychotic medication (AP) use impact body weight early in the course of schizophrenia.

We recruited 92 participants with first-episode psychosis (FEP, n = 92) during their first psychiatric hospitalization. We prospectively collected weight, body mass index (BMI), metabolic markers, and exact daily medication exposure during 6-week hospitalization. We quantified the trajectory of AP medication changes and AP polypharmacy using a novel approach based on meta-analytical ranking of medications and tested it as a predictor of weight gain together with traditional risk factors.

Most people started treatment with risperidone (n = 57), followed by olanzapine (n = 29). Then, 48% of individuals remained on their first prescribed medication, while 33% of people remained on monotherapy. Almost half of the individuals (39/92) experienced escalation of medications, mostly switch to AP polypharmacy (90%). Only baseline BMI was a predictor of BMI change. Individuals in the top tercile of weight gain, compared to those in the bottom tercile, showed lower follow-up symptoms, a trend for longer prehospitalization antipsychotic treatment, and greater exposure to metabolically problematic medications.

Early in the course of illness, during inpatient treatment, baseline BMI is the strongest and earliest predictor of weight gain on APs and is a better predictor than type of medication, polypharmacy, or medication switches. Baseline BMI predicted weight change over a period of weeks, when other traditional predictors demonstrated a much smaller effect.

Cardiometabolic diseases (CMDs) including heart disease, stroke, and type 2 diabetes have been individually linked to depression. However, their combined impact on depression risk is unclear. We aimed to examine the association between cardiometabolic multimorbidity and depression and explore the role of genetic background in this association.

Within the Swedish Twin Registry, 40,080 depression-free individuals (mean age 60 years) were followed for 18 years. Cardiometabolic multimorbidity was defined as having ≥2 CMDs. CMDs and depression were ascertained based on the National Patient Register. Cox regression was used to estimate the CMD-depression association in a classical cohort study design and a matched co-twin design involving 176 twin pairs. By comparing the associations between monozygotic and dizygotic co-twins, the contribution of genetic background was estimated.

At baseline, 4809 (12.0%) participants had one CMD and 969 (2.4%) had ≥2 CMDs. Over the follow-up period, 1361 participants developed depression. In the classical cohort design, the multi-adjusted hazard ratios (95% confidence interval [CIs]) of depression were 1.52 (1.31–1.76) for those with one CMD and 1.83 (1.29–2.58) for those with ≥2 CMDs. CMDs had a greater risk effect on depression if they developed in mid-life (<60 years) as opposed to late life (≥60 years). In matched co-twin analysis, the CMD-depression association was significant among dizygotic twins (HR = 1.63, 95% CI, 1.02–2.59) but not monozygotic twins (HR = 0.90, 95% CI, 0.32–2.51).

Cardiometabolic multimorbidity is associated with an elevated risk of depression. Genetic factors may contribute to the association between CMDs and depression.

High rates of psychiatric comorbidities have been found in people with problem gambling (PBG), including substance use, anxiety, and mood disorders. Psychotic disorders have received less attention, although this comorbidity is expected to have a significant impact on the course, consequences, and treatment of PBG. This review aimed to estimate the prevalence of psychotic disorders in PBG.

Medline (Ovid), EMBASE, PsycINFO (Ovid), CINAHL, CENTRAL, Web of Science, and ProQuest were searched on November 1, 2023, without language restrictions. Studies involving people with PBG and reporting the prevalence of schizophrenia spectrum and other psychotic disorders were included. Risk of bias was assessed using the Joanna Briggs Institute critical appraisal checklist for systematic reviews of prevalence data. The pooled prevalence of psychotic disorders was calculated using a random effects generalized linear mixed model and presented with forest plots.

Of 1,271 records screened, 22 studies (n = 19,131) were included. The overall prevalence of psychotic disorders was 4.9% (95% CI, 3.6–6.5%, I2 = 88%). A lower prevalence was found in surveyed/recruited populations, compared with treatment-seeking individuals and register-based studies. No differences were found for factors such as treatment setting (inpatient/outpatient), diagnoses of psychotic disorders (schizophrenia only/other psychotic disorders), and assessment time frame (current/lifetime). The majority of included studies had a moderate risk of bias.

These findings highlight the relevance of screening problem gamblers for schizophrenia spectrum and other psychotic disorders, as well as any other comorbid mental health conditions, given the significant impact such comorbidities can have on the recovery process.

The change in symptoms necessary to be clinically relevant in obsessive-compulsive disorder (OCD) is currently unknown. In this study, we aimed to create an empirically validated threshold for clinical significance or minimal important difference (MID).

We analyzed individual participant data from short-term, double-blind, placebo-controlled registration trials of selective serotonin reuptake inhibitors in adult OCD patients. Data were collected from baseline to week 12. We used equipercentile linking to equate changes in the Clinical Global Impression (CGI) scale to changes in the Yale-Brown Obsessive-Compulsive Scale (YBOCS). We defined the MID as the YBOCS change linked to a CGI improvement of 3 (defined as “minimal improvement”).

We included 7 trials with a total of 1216 patients. The CGI-scores and YBOCS were moderately to highly correlated. The MID corresponded to 4.9 YBOCS points (95% CI 4.4–5.4) for the full sample, or a 24% YBOCS-decrease compared to baseline. The MID varied with baseline severity, being lower in the group with mild symptoms and higher in the group with severe symptoms.

By linking the YBOCS to the CGI-I, this is the first study to propose an MID in OCD trials. Having a clearly defined MID can guide future clinical research and help interpretation of efficacy of existing interventions. Our results are clinician-based; however, there is further need for patient-reported outcomes as anchor to the YBOCS.

Obesity-related cardiometabolic comorbidity is common in major depressive disorder (MDD). However, sex differences and MDD recurrence may modify the MDD-obesity-link.

Sex-specific associations of MDD recurrence (single [MDDS] or recurrent episodes [MDDR]) and obesity-related traits were analyzed in 4.100 adults (51.6% women) from a cross-sectional population-based cohort in Germany (SHIP-Trend-0). DSM-IV-based lifetime MDD diagnoses and MDD recurrence status were obtained through diagnostic interviews. Obesity-related outcomes included anthropometrics (weight, body mass index, waist- and hip-circumference, waist-to-hip ratio, waist-to-height ratio), bioelectrical impedance analysis of body fat mass and fat-free mass, and subcutaneous (SAT) and visceral adipose tissue (VAT) from abdominal magnetic resonance imaging. Sex-stratified linear regression models predicting obesity-related traits from MDD recurrence status were adjusted for age, education, and current depressive symptoms.

790 participants (19.3%) fulfilled lifetime MDD criteria (23.8% women vs. 14.5% men, p<0.001). In women, MDDS was inversely associated with anthropometric indicators of general and central obesity, while MDDR was positively associated with all obesity-related traits, except waist-to-hip ratio and fat-free mass. In women, MDDR versus MDDS was associated with higher levels of obesity across all outcomes except fat-free mass. In men, MDD was positively associated with SAT regardless of MDD recurrence. Additionally, lifetime MDD was positively associated with VAT in men. Results remained significant in sensitivity analyses after exclusion of participants with current use of antidepressants.

The MDD-obesity association is modified by MDD recurrence and sex independent of current depressive symptoms. Accounting for sex and MDD recurrence may identify individuals with MDD at increased cardiometabolic risk.

Hungarians exhibit more negative attitudes toward help-seeking for mental health problems compared to other European countries. However, research on help-seeking in Hungary is limited, and it is unclear how stigma relates to help-seeking when considering demographic and clinical characteristics. We used a network analytic approach to simulate a stigma model using hypothesized constructs in a sizable sample of Hungarian adults.

Participants were 345 adults recruited from nine primary care offices across Hungary. Participants completed self-report measures assessing public stigma, self-stigma, experiential avoidance (EA), attitudes toward seeking professional psychological help, anxiety, depression, demographics, prior use of mental health services, and whether they have a family member or friend with a mental health condition.

EA and anxiety were the most central nodes in the network. The network also revealed associations between greater EA with greater public stigma, anxiety, depression, and having a family member or friend with a mental health condition. More positive attitudes toward seeking help were associated with lower self-stigma, public stigma, and having received psychological treatment in their lifetime. Being female was associated with lower income, higher education, and having received psychological treatment in their lifetime. Finally, having a family member or friend with a mental health condition was associated with having received psychological treatment in their lifetime and greater public stigma.

The strength centrality and associations of EA with clinical covariates and public stigma implicate its importance in stigma models. Findings also suggest that while some aspects of existing stigma models are retained in countries like Hungary, other aspects may diverge.

This prospective study aimed to assess couples’ psychological status during the perinatal period to identify those at risk for postpartum depression.

Conducted at Lyon University Hospital from March to July 2022, the study enrolled pregnant women without progressive psychiatric disorders or obstetric risk factors, and their partners. Participants completed the Edinburgh Postnatal Depression Scale (EPDS) at three points: during the 9th month of pregnancy, immediate postpartum, and 6–8 weeks after delivery. A score ≥10 on the EPDS indicated depression risk. A score ≥10 on the EPDS indicate depression risk. The primary endpoint was EPDS scores throughout the perinatal period.

Ninety-five couples participated; 96% of patients and 68% of partners completed pre-delivery questionnaires, 81% and 71% during maternity stay, and 64% and 46% postpartum, respectively. Overall, 15% of patients and 1% of partners had EPDS scores >10 in the postpartum period. Psychiatric history and emergency cesarean sections were associated with higher immediate postpartum EPDS scores in patients [Beta 3.7 points, 95% CI 0.91; 6.4 and Beta 5.2 points, 2.2; 8.1, respectively]. Episiotomy was associated with higher EPDS scores in partners. No significant association between the different factors studied and the EPDS score was found at 6–8 weeks postpartum in patients nor their partners.

While specific risk factors for persistent perinatal depression in couples were not identified, a notable proportion of patients exhibited high EPDS scores. Screening all couples during prepartum and postpartum periods is crucial, regardless of identified risk factors.

Cognitive impairment is the frequent symptom occurring in nonelderly patients with schizophrenia or other neurodegenerative disorders. Cognitive dysfunction in patients with schizophrenia was described by Kraepelin more than a century ago. Increased awareness and advancements in the area of neuropsychological assessment and neuroimaging techniques have now rendered cognitive impairment an important focus of theories on the etiology and treatment of schizophrenia. Cognitive enhancement still remains a clinically unresolved challenge. Till date, there is no effective treatment available for enhancing cognitive function in patients with schizophrenia

This e-poster aimed to summarize evidence regarding clinical data on the nonpharmacologic and pharmacologic management of cognitive symptoms of schizophrenia, also known as cognitive impairment associated with schizophrenia (CIAS), and highlight the selection of appropriate treatment options.

A bibliopgraphical review was performed using PubMed platform. All relevant articles were found using the keywords: schizophrenia, cognitive symptoms, menagement.

Many different drug targets and strategies for drug development have been employed for enhancement of cognition in schizophrenia. Receptor targets have been identified on the basis of pharmacologic challenges that mimic schizophrenia (e.g., dopamine agonists and NMDA receptor antagonists), receptor abnormalities found on postmortem analysis of schizophrenia brain, and genetic linkage studies. Treatment with a D1 agonist was shown to “sensitize” D1 receptors and improve memory in both aged and antipsychotic-treated monkeys. Clinical trials of D1 agonists in schizophrenia have been delayed due to poor tolerability related to orthostatic hypotension and nausea. The glycine-site agonists, glycine, D-serine, and D-alanine, produced improvement in negative symptoms in small trials and some improvement in measures of cognition, although formal cognitive testing was not performed.

Although the evidence supporting cognitive remediation has not yet achieved the level necessary to merit inclusion in evidence-based treatment guidelines, this approach, combined with other psychosocial interventions, is promising. Several pharmacologic approaches are currently under study to facilitate neuroplasticity.

None Declared

Although suicide claims more lives than war and homicide, we still have no sufficient and effective methods either for its prediction or for its prevention. Our screening methods are laborous and subjective both on the side of the patient and on the side of the clinician. Understanding the genetic background of suicidal behaviour would help identify biomarkers for screening as well as pathways as potential targets for novel intervention and prevention approaches. However, in spite of a number of GWAS studies, results are few and rarely replicate, and generally accurate phenotyping and sufficient consideration of environmental stressors is also missing.

In our present study we performed a genome-wide analysis study for suicidal ideation in interaction with early childhood traumas in a deep-phenotyped general population sample.

Our analysis used data from 1800 volunteers in the NewMood project. As outcome phenotype the suicidal ideation item of the Brief Symptom Inventory was used. A modified version of the Childhood Trauma Questionnaire was used to assess early adverse experiences. A genome-wide association analysis was performed with Plink 1.9, including a total of 3,474,641 variants after quality control steps, followed by genome-wide by environment interaction analyses. Our models included control variables for sex, age, and the top 10 genomic principal components. Functional annotation of SNPs was carried out using FUMA v1.5.6, gene-based tests were performed using MAGMA v1.08.

7 SNPs met suggestive significance in main effect analyses, of which 2 reached genome-wide significance including rs79912020 (p=3.21E-10, β=0.746) and rs10236520 (p=1.71E-08, β=0.484), with no significant findings in gene-based tests. Interaction analyses with childhood adversities yielded 31 SNPs that met genome-wide significance, including rs7983955 (p=2.28E-11, β=0.182), rs141039461 (p=3.90E-11, β=0.0541), rs12692827 (p=3.69E-10, β=0.0612) as the top SNPs. In interaction with childhood adversities, 31 genes showed a significant association in gene-based tests, including RBFOX1 (p=1.09E-10), GRM7 (p=1.20E-10), MTCH1 (p=5.59E-09), and CDH13 (p=6.60E-09) as the most significant findings.

Our results indicate several important novel SNPs associated with suicidal ideation when considered in interaction with the effect of childhood adversities. Furthermore, gene-based analyses replicate several genes playing a key role in central nervous system function such as GRM7 (encoding metabotropic glutamate receptor 7) or previously implicated in association with suicide (CDH13) or suicide-related factors such as aggression (RBFOX1).

Funding: NAP2022-I-4/2022, K143391, 2019-2.1.7-ERA-NET-2020-00005, TKP2021-EGA-25

None Declared

Personality characteristics have an important place in the choices of interns who are at the stage of deciding how their profession will be shaped in the future. While the Big 5 personality model has been widely used in evaluating the personality traits factor in career planning, the Enneagram has increased in popularity in recent years. In this study, it was aimed to investigate how senior medical students evaluate their professional future between these choices and the students’ personality types.

Forms and scales were presented to 221 interns who agreed to participate in our study and were studying in their final year in the 2022-2023 period at three different faculties, two state universities and one private university in the Marmara Region in Turkey.

The sociodemographic data form, Enneagram Personality Types and Subtypes Inventory, and Positive Future Expectation Scale, prepared by the researchers and containing questions about the factors that may be effective in choosing medical specialization, obtained through a face-to-face pilot interview with ten students and literature review, were applied to the participants. Participants answered the forms and scales via ‘Google forms’.

211 out of 221 participants, who did not constitute outliers, were included in the analysis. The mean age of the participants was 24.43 (S.E= 0.11)

In terms of Enneagram typologies, Type 2 (39.3%) exhibited the highest prevalence, followed by Type 1 (13.3%), Type 6 (11.8%), and Type 7 (8.5%).

Furthermore, a statistically significant relationship was found between specialization area and Enneagram types (Fisher exact <.001, p< .001). Post-hoc examinations highlighted specific associations, such as the relationship between Type 3 and Cardiovascular Surgery, Orthopedics and Traumatology; Type 4 and Pneumology, Psychiatry; Type 5 and PRC, Type 6 and Infectious Diseases, Neurology, Medical Microbiology; Type 7 and Cardiology; Type 8 and Pediatrics, Medical Biochemistry; and Type 9 and Family Medicine, Radiology, Psychiatry, Medical Pathology.

When the results are evaluated, the highest rate of type 2 and type 1 of the Enneagram typology in senior medical faculty students supports the fact that the medical profession consists of responsible and principled people who love helping others. It is compatible with the character traits of people with type 9 who avoid stress and conflict, preferring the department to have a low workload, and turning to family medicine, radiology, psychiatry and medical pathology departments, which are estimated to have relatively fewer working hours and emergency applications.

Our study suggests that this scale be used more widely, as the Enneagram typology, which is used in many professional and career choices, shows results compatible with the participants’ preferences in choosing a medical specialty.

None Declared

The mortality rate among individuals experiencing homelessness tends to be premature and is linked to mental disorders and chronic diseases. In Spain, there is a significant gap in the study of mortality among individuals in situations of residential exclusion with real clinical data.

This study aims to analyze mortality among individuals experiencing homelessness and its relationship with mental disorders and chronic diseases.

An observational and prospective longitudinal study was conducted on a cohort of 855 homeless individuals in the province of Girona over a 15-year period. Sociodemographic variables, mental health conditions, chronic diseases, and infections were analyzed, employing descriptive and inferential analyses. A binary logistic regression model was created to establish explanatory relationships between mortality and associated variables.

Among the participants, 87.7% were males with an average age of 53.03 years. A majority of 62.8% were foreign-born, mainly from Africa and Europe. It was identified that 40.8% had mental disorders, with substance dependencies (41.3%) and other disorders (36.4%) being the most prevalent. A total of 30.6% presented chronic diseases, notably hypertension (12.8%) and type 2 diabetes (10.9%). Furthermore, 22.3% had infections, with hepatitis C virus (8.7%) and HIV (4.7%) being the most common. During the follow-up period, 81 individuals (16.4%) passed away, with causes such as cancer (25%), suicide (21.7%), and heart conditions (11.7%).

The regression analysis demonstrated that age (OR = 0.915; 95% CI 0.884-0.947), alcohol addiction (OR = 2.354; 95% CI 1.486-3.731), and being born in Spain (OR = 2.906; 95% CI 1.594-5.299) were significantly associated with mortality in the homeless population.

This study highlights the high prevalence of mental disorders, chronic diseases, and infections among individuals experiencing homelessness. Mortality was associated with factors such as age, alcohol addiction, and place of birth. These findings underscore the importance of developing interventions aimed at enhancing the health and care of individuals experiencing homelessness, particularly within the immigrant population.

None Declared