Epidemiological evidence shows a concerning rise in youth mental health difficulties over the past three decades. Most evidence, however, comes from countries in Europe or North America, with far less known about changes in other global regions. This study aimed to compare adolescent mental health across two population-based cohorts in the UK, and two population-based cohorts in Pelotas, Brazil.

Four population-based cohorts with identical mental health measures were compared. In Brazil, these included the 1993 Pelotas Birth Cohort and the 2004 Pelotas Birth Cohort. In the UK, cohorts included the Avon Longitudinal Study of Parents and Children, and the Millennium Cohort Study. Mental health was measured in all cohorts using identical, parent-rated scores from the Strengths and Difficulties Questionnaire (SDQ). This was assessed in both countries over approximately the same time periods, when adolescents were aged 11 (2004 vs 2015 in Brazil, and 2003 vs 2012 in the UK), with follow-up analyses focused on outcomes in later adolescence.

Mental health problems were higher in the UK for adolescents born in the early 2000s compared to those born in the early 1990s. In Pelotas, the opposite was found, whereby problems were lower for adolescents born in the early 2000s compared to those born in the early 1990s. Despite these promising reductions in mental health problems in Pelotas over time, SDQ scores remained higher in Pelotas compared to the UK.

Our study represents the first to compare two population-based cohorts in the UK, and two population-based cohorts in Pelotas, Brazil, to understand how mental health problems have changed over time across the two settings. Our findings provide the most up-to-date insight into population-level rates of youth mental health problems in Pelotas, and shed novel insight into how these have changed over the last two decades in comparison to the UK. In doing so, our study provides a tentative first step towards understanding youth mental health over time at a more global scale, and presents a valuable opportunity to examine putative contributors to differences across time.

Epilepsy is one of the most common serious brain illness, with symptoms influenced by multiple risk factors and a strong genetic predisposition, rather than having a single expression and cause¹. Neuropsychiatric symptoms in epilepsy can encompass manifestations such as mood alterations, anxiety, sleep disturbances, psychosis, and behavioral disorders. While the motor and sensory manifestations of epileptic seizures are widely recognized, neuropsychiatric symptoms accompanying epilepsy are often underestimated. Therefore, it is essential to understand the most prevalent epidemiological profile of these patients to improve the diagnosis and management of these symptoms.

Our goal was to evaluate the neuropsychiatric behavior of epilepsy patients in Brazilian over the past 3 years through hospitalization data in order to outline an epidemiological and behavioral profile.

A cross-sectional, descriptive, retrospective, and quantitative study was conducted on hospitalizations of individuals simultaneously diagnosed with epilepsy, schizotypal and delusional disorders, and mood disorders in all five regions of Brazil (South, Southeast, Midwest, North, and Northeast) between February 2020 and December 2022. Data from January 2020 were not available. The data used were collected through the Department of Health Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, gathering information regarding the nature of care, age range, gender, and ethnicity of the patients.

The analysis covers the years 2020 to 2022, totaling 503,045 hospitalizations. In 2022, the highest number of cases occurred (≈ 37.55%), followed by 2021 (≈ 33.62%) and 2020 (≈ 28.81%). Urgent hospitalizations represented ≈ 90.85% of the total. The most affected age group was 30 to 39 years old (≈ 18.30%). Men were more affected than women (≈ 52.03% and ≈ 47.96%, respectively), and Caucasians accounted for ≈ 36.07% of the hospitalizations. The average length of stay was 19.1 days, and the mortality rate was 1.4%.

Thus, there is a gradual and annual increase in the number of hospitalizations during the observed period. While there is a minimal disparity between the affected genders, it is evident that the profile of male, caucasian, and adult patients is the most prevalent. Moreover, the predominantly urgent nature of hospitalizations points to an alarming scenario regarding this issue. From the analysis of the data obtained in the study, there is a clear need for interventions capable of reducing the prevalence of hospitalizations for neuropsychiatric symptoms in epilepsy patients in Brazil.

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Neuropsychiatric disorders are the leading cause of disability worldwide, as seen in cases such as depression, anxiety, bipolar mood disorder and schizophrenia, which can be developed or exacerbated by the use of psychoactive substances. Most mental disorders have an early onset, often leading to early and/or permanent disability, increasing the need and cost of healthcare. Therefore, it is necessary to improve the identification of the epidemiological profile of these cases in the South of Brazil in order to enhance the diagnosis and reduce the costs associated with managing these disorders.

The present study aimed to analyze statistical data regarding hospitalizations related to mental disorders caused by the use of psychoactive substances and alcohol in the southern region of Brazil, highlighting the pathological scenario and identifying the most prevalent profiles of these disorders in this region.

A cross-sectional, descriptive, retrospective, and quantitative study was conducted on hospitalizations of individuals diagnosed with mental and behavioral disorders due to the use of psychoactive substances and alcohol in the states of the Southern region of Brazil (Paraná, Santa Catarina, and Rio Grande do Sul) between February 2020 and December 2022. Data of January 2020 were not available. The data used were collected through the Department of Health Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, gathering information regarding the nature of the care, age range, gender, and ethnicity of the patients.

The study covers the years 2020 to 2022, indicating a total of 81,608 hospitalizations, with the year 2022 having the highest number of cases (≈ 37.13%), followed by 2021 (≈ 33.30%) and 2020 (≈ 29.55%). The states with the highest number of hospitalizations were Rio Grande do Sul (≈ 54.90%), Paraná (≈ 29.29%), and Santa Catarina (≈ 15.79%). Urgent hospitalizations accounted for ≈ 87.29% of the total. The most affected age group was 30 to 39 years old (≈ 25.61%). Men were more affected than women (≈ 81.70% and ≈ 18.28%, respectively). Caucasians accounted for ≈ 64.29% of the hospitalizations. The average length of stay was 20.8 days, and the mortality rate was 0.32%.

There is a clear increase in the number of hospitalizations related to mental disorders caused by the use of psychoactive substances in the period from 2020 to 2022 in the southern region of Brazil, with the highest number of cases in the state of Rio Grande do Sul. The most affected population consisted of Caucasian men aged 30 to 39 years old. Furthermore, these results may be related to the increasing trend of psychoactive substance use among the Brazilian population and also the COVID-19 pandemic, which led to a period of underreporting due to social isolation.

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In recent years, mental health has gained prominence in public health, prompting thorough investigations into psychiatric condition trends. This study conducts a comprehensive epidemiological analysis of hospitalizations for Schizophrenia, Schizotypal, and Delirium Disorders in Rio Grande do Sul (RS) over the past five years. By revealing these patterns, it enhances our understanding of regional mental health dynamics and offers insights for intervention strategies, resource planning, and improved mental healthcare. The ultimate goal is to advance more effective and accessible mental healthcare in RS and beyond.

This study aims to analyze the prevalence and epidemiological profile of hospitalizations due to psychiatric disorders to assist in the diagnosis and outcome of affected patients.

A cross-sectional, descriptive, retrospective, and quantitative study was conducted regarding hospitalizations for Schizophrenia, Schizotypal Disorders, and Delirium in the state of RS between January 2018 and November 2022. Data were collected from the Department of Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, focusing on the nature of care, age group, gender, and ethnicity of the patients. The information was aggregated over the five-year period based on the four mentioned descriptors and subsequently analyzed to establish a profile of hospitalizations during that period.

The analysis spans from 2018 to 2022, encompassing a total of 28,345 hospitalizations. In 2019, there was the highest number of cases (22.21%), followed by 2018 (21.08%). Urgent care admissions constituted 85.34% of the total. The age group most affected was 35 to 39 years (11.8%). Men were more affected than women (60.18%), and the majority of hospitalizations were among the Caucasian ethnicity (75.12%). The average length of stay was 23.7 days, and the mortality rate stood at 0.26%.

The increasing trend in hospitalizations, peaking in 2019, highlights the need for preventive measures. Urgent admissions (85.34%) underscore the demand for accessible mental health resources. Men in the 35 to 39 age group are disproportionately affected, suggesting specific risk factors. The predominance of Caucasian ethnicity emphasizes the need for culturally sensitive care. A longer average length of stay (23.7 days) underscores treatment complexity, while a low mortality rate (0.26%) signals effective medical care. In essence, these findings inform tailored mental health policies to enhance service quality and prioritize patient-centered approaches.

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Humanistic studies applied to the health-illness clinic go beyond explaining cause-effect relationships among disease phenomena, treatments, and preventions. Qualitative research aims to understand symbolic relationships built in life experiences among the manifestations and the people. How to act in front of a person whose physical appearance and odour can be unpleasant, such as in the HNC - Head Neck Cancer? Or whose life history may have been marked by deviant behaviours and negligence in self-care?

To interpret emotional meanings attributed through open interviews conducted with relatives about the domestic care of patients with HNC under clinical treatment.

Sample composed of family caregivers of patients with HNC, sent sequentially by colleagues from the clinical service who were informed of the research. The study used the Clinical-Qualitative Method (Turato. Portuguese Psychos. J, 2000 2(1): 93-108). Semi-Directed Interview with Open-ended Questions In-Depth and Field Notes was used for data collection. The employ of the Seven Steps of the Clinical-Qualitative Content Analysis (Faria-Schützer et al. Cien Saude Colet. 2021; 26(1): 265-274) has permitted the understanding of the topics. Sample closed with 12 persons according to the information saturation strategy (Fontanella et al. Cad Saude Publica. 2008; 24(1): 17-27), conducted by the first author, a female psychologist. To interpret the empirical material, we use Medical/Health Psychology, the psychodynamics of relationships of the Balintian framework, disease and illness while modes of un-health, psychic defence mechanisms against anguish. Validation by peers from the Lab of Clinical-Qualitative Research Laboratory, at the State University of Campinas.

For this presentation, we listed three categories from the free-floating re-readings: (1) Certain need to recognize the care provided as a handling strategy with effort, putting in this ‘validation’ their relief regarding natural suffering of the care process; (2) Caregiver’s psychological fantasies of omnipotence in the care process, frequently perceiving the reality a phenomenologically and necessarily distorted by the caregiver. (3) Moments of impotence feeling in front of the finitude reality that it knows will arrive.

The family caregivers can present certain emotional defences, such as subtle magical thinking, in which they distort the reality experienced as a management strategy and validation of their care. They act so to alleviate their psychological and existential suffering. Group meetings with family members to talk openly about the difficulties on the psychological management of patients with HNC, coordinated by a psychotherapist, are effective as a space for creativity in daily management at home and a space for catharsis.

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Folie a deux, also known as shared psychotic disorder or induced delusional disorder, is a rare mental disorder that was first described in France in the late 19th century and was referred to delusions shared between two individuals in close relationship. The concept has evolved and according to ICD-10 the following criteria for the diagnosis is phenomenology-based only.

To describe a clinical case and review the existing evidence on folie a deux.

Clinical case and non-systematic review of the literature, from the last 15 years, on folie a deux. For this research, the keywords “folie a deux”, “shared psychotic disorder” and “induced delusional disorder” were used in the MEDLINE/PubMed database.

The clinical case presented refers to a 56-year-old female patient with no known psychiatric history. The patient stated that 5 years ago when his mother died, neighbors began to persecute her and her sister. She was medicated with a second-generation antipsychotic without total remission of symptoms. Generally, in folie a deux there is a close and prolonged relationship between the inducer and the receptor, as described in this case. We considered that the sister is the active subject. The delusion is persecutory, the most common in this disorder. The patient kept her job until she was hospitalized and as described in the literature patients with folie a deux maintain their functionality, which is responsible for the underdiagnosis of this disorder. The fact that the current evidence is based on case reports reflects the underdiagnosis and rarity of this disorder.

This clinical case highlights the challenging diagnosis and difficulty in treating this condition. Patients can be diagnosed many years after the onset of symptoms, which may not resolve with treatment. Much information, as prevalence, natural history, and optimal treatment, is lacking on folie a deux, and the etiology remains unknown. As such, prospective studies should be carried out to help understand this disorder.

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Difficult patients are not something new and we can find innumerous definitions for this concept. However, they form a very heterogenous group and we need a less abstract definition focused more on the clinical reality and the difficulties experienced by patients and mental health professionals.

Our goal was to find a more precise and clinical definition of the difficult patient based on quantitative measures using a statistical analysis of a series of hospitalizations.

A cluster analysis of our hospital’s in-patient treatment from the last 5 years was made concerning the duration of the stay and the number of previous hospitalizations.

A sample of 8576 inpatient treatment episodes was used. 52.4% were male and 47.6% female patients between the age of 15 and 103 years old. The length of the treatment varied from 0 to 1007 days and the number of previous hospitalizations from 0 to 109; excluding the outliers the means were, respectively, 21 days and 2 previous hospitalizations.

The cluster analysis excluded 85 episodes and it found the presence of 3 clusters, being the number 1 the wider one (n=5861 episodes) and the other quite similar.

The Cluster 1 was characterized by a smaller length of hospital stay and number of hospitalizations; the Cluster 2 was defined by the episodes with the highest number of previous hospitalizations (`x =8.77) and the Cluster C by the longest hospital stays (`x =58.09 days). With a Kruskal-Wallis test we found both variables statistically different between all clusters (p<0.001). In Cluster 2 and 3, respectively, we found that 40,24% and 34.61% was taking the medication before being hospitalized, 6.42% and 3.15% were compulsive hospitalizations, and 40.5% and 21.89% had LAI prescribed.

Concerning the diagnosis, Cluster 1 had more Depression, Neurotic and Somatoform disorders; Cluster 2 more Bipolar and Intellectual disability disorders and Cluster 3 more Dementia and Delusional disorders. Substance use disorders and Personality disorders were found more common in both Cluster 1 and 2, Schizophrenia in Cluster 2 and 3 and Psychosis non specified in Cluster 1 and 3.

We can say Cluster 1 comprises the non-difficult patients and it’s not surprising that it includes more Depression and Neurotic and Somatoform disorders. The other diagnostic distributions among clusters were also expected and we can also theorize that Cluster 3 had higher percentages of social cases. Treatment with LAI is linked to a decrease in rehospitalizations and we found that in the majority of these episodes it wasn’t been applied. This research is important in order to identify the difficult patients and what challenges they can bring to the mental health services. Creating these patients’ profile will allow us to better understand their needs to create guidelines for a personalized inpatient treatment and to improve community services to prevent the rehospitalizations and prolonged hospital stays.

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Suicide is a serious public health problem since it accounts for nearly 900,000 deaths each year worldwide. Globally in 2019, 10.7 persons out of 100,000 died by suicide. Psychiatric disorders are related to an overwhelming proportion of these cases. In the last years, several specific interventions and action plans for suicide prevention have been implemented in a number of European countries.

Our aim was to analyze recent epidemiologic trends of suicide mortality rates in Europe.

Annual national statistics of suicide mortality rates derived from Eurostat public databases from 2011 to 2019 were analyzed for 38 European countries. The suicide mortality rate was estimated per year/100,000 population. Linear regression models were used to study temporal trends of suicidal mortality. Analyses were performed using RStudio.

Available data show a statistically significant reduction in suicide mortality rates from 2011 to 2019 in 15 European countries, and a significant increase for Turkey (ES=0.32, SD=0.06, p=0.037) (Fig 1). The greatest significant decrease was reported in Lithuania (ES=-1.42, SD=0.02, p=0.02), followed by Hungary (ES=-1.13, SD=0.11, p=0.0007), Latvia (ES=-0.76, SD=0.11, p=0.007), and Poland (ES=-0.73, SD=0.10, p=0.001). Italy reported the lowest significant reduction in suicide mortality rates (ES=-0.13, SD=0.018, p=0.003). The remaining 16 countries showed no significant changes in suicide mortality trends.

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In the last years, Europe registered an overall reduction in reported suicide rates. However, more recent data (i.e., suicide rates after COVID-19 pandemic, age and sex-related effect on suicide rates) should be analyzed and used to implement future recommendations. Current and future suicide prevention strategies aim to contribute to a greater reduction of suicide rates in the different European countries.

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Multiple definitions for “difficult to treat” patients (DTP) were given throughout the years. While most authors focus on diagnoses, others focus on clinical, social and demographic factors, which should be regarded as factors of bad prognosis and elevated costs for the healthcare systems.

To identify and haracterize DTP patients admitted in acute ward, based on practical criteria.

Through the hospital’s IT services, all acute inpatient episodes at Centro Hospitalar Psiquiátrico de Lisboa were collected, since 2017. Cluster analysis was performed, regarding number of previous admissions (PA) and days of admission. Descriptive and comparative statistics (with multiple comparisons) for the different clusters, regarding age, gender, diagnosis at discharge (according to ICD10), and, to the DTP, previous medical following, compliance to medication, and substance use at admission.

Three clusters were identified: (C1, n=5861) a larger, uncharacteristic one; (C2, n=1168) with a higher number of PA (average of 8, versus less than 2 on the others); and (C3, n=1462) with higher number of days of admissions (58 versus less than 16). Statistical significance was found regarding age (higher in C3), gender (more men in C2), nationality (C1 with more foreigners). Regarding diagnosis at discharge, statistical difference was found between the 3 groups: C1 has significantly less patients with Schizophrenia (11% versus 30% in the others), but more depressive (21% versus 6% in C2 and 12% in C3) and neurotic disorders. C2 presented less dementias (0,5% versus 3% in C1 and 10% in C3) and delusional disorders, but more bipolar disorders (24% versus 15% in C1 and C3); C3 represented less episodes due to substance abuse (alcohol or others) and personality disorders. In both C2 and C3, no psychiatric consultation happened in the 3 months prior admission to around 40% of episodes, and 50% had stopped medication. The majority had only oral medication. Almost 24% of C2 tested positive for cannabinoids, with no differences regarding other substances.

These findings allow the definition of 2 kinds of DTP, which present unique characteristics but some common features (namely poor adherence to consultations and are in therapeutic compliance). An assertive multidisciplinary approach, focused on current treatment and relapse prevention (including social structures, more frequent clinical follow-up, and rehabilitation centers), will be the key to their treatment.

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People presenting first-episode psychosis (FEP) benefit from early intervention programmes, although they are scarce in low- and middle-income countries (LMICs). In Brazil, there are just a few of them unequally distributed across the country.

We aimed to describe the workings of the Ribeirão Preto Early Intervention for Psychosis Programme (Ribeirão Preto-EIP) – an outpatient service for first-episode psychosis patients residents in the Ribeirão Preto catchment area in Southeastern Brazil.

A retrospective cohort of all patients attended throughout four years (2015-2018) was analysed. We excluded patients who attended only the first consultation and those with an initial diagnosis other than a psychotic disorder. Data was obtained through retrospective analysis of medical records.

Our service had 358 new referrals during the four-year period, and 237 patients were followed on average (median) by 14 months. Most of the patients were male (64.1%), single (84.8%), with a median age of 23.5 years (age ranged from 9 to 86 years). Schizophrenia was the main diagnosis (43.4%), followed by substance-induced (25.7%) and affective psychosis (18.6%). Taking follow-up diagnoses as gold-standard, initial diagnoses of bipolar disorder and schizophrenia spectrum disorders had the highest positive predictive values, 83% and 81% respectively. Most referrals to our programme were made by tertiary care (63.7%), followed by secondary (28.5%) and primary care (7.8%).

Here we presented a large sample of FEP patients in a representation as trustworthy to the reality of our programme as possible. Our analysis suggest that Early Intervention Programmes can be successfully implemented in LMICs.

No significant relationships.