Diagnosis Of Psychiatric Disorders Research Articles

Attention-deficit/hyperactivity disorder and subsequent diagnoses of major psychiatric disorders: a nationwide population-based study.

We evaluated the risk of being diagnosed with various psychiatric disorders after an attention-deficit/hyperactivity disorder (ADHD) diagnosis using data from South Korea's National Health Insurance Service from 2002 to 2019, which covers approximately 97% of the country's population. ADHD and control groups were selected after propensity score matching was performed for individuals diagnosed with ADHD and their age- and sex-matched counterparts from the general population. Comorbid psychiatric disorders included depressive disorder, bipolar disorder, tic disorder, and schizophrenia. The incidence of newly diagnosed psychiatric disorders was compared between the groups. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated and adjusted for ADHD medication prescription. After matching, 353,898 individuals were assigned to each of the two groups. Compared to the control group, the ADHD group showed a significantly higher risk of being subsequently diagnosed with depressive disorder, bipolar disorder, schizophrenia, and tic disorder. The onset age of depressive disorder, bipolar disorder, and schizophrenia in the ADHD group was 16-17 years, approximately 5 years earlier than that in the control group. The risk for depression was the highest in individuals with high income levels, and that for schizophrenia was the highest among rural patients. The median length of the follow-up time until the diagnosis of each comorbid psychiatric disorder was 7.53, 8.43, 8.53, and 8.34 years for depressive disorder, bipolar disorder, schizophrenia, and tic disorder, respectively. Individuals with ADHD had an overall higher risk of being diagnosed with subsequent psychiatric disorders than did the controls. Hence, they should be carefully screened for other psychiatric symptoms from an early age and followed up for an extended duration, along with appropriate interventions for ADHD symptoms, including psychosocial treatments and educational approaches.

Temporal Trends in Mental Disorder Rates among Patients with Colorectal Cancer: A Comprehensive Analysis.

Background: Colorectal cancer (CRC) stands as one of the most prevalent and burdensome malignancies worldwide. Similar to other cancers, CRC has been associated with the development of psychiatric diseases, including anxiety and depression. However, temporal trends in psychiatric disorders rates within CRC patients have not been investigated so far. Methods: The present study included 15,619 individuals with colorectal cancer and 78,095 propensity score-matched individuals without cancer, who were identified within the Disease Analyzer (IQVIA) database in Germany between 2005 and 2022. Cox regression analysis was conducted to assess the association between CHC and subsequent psychiatric diseases, including depression, anxiety disorders, and adjustment disorder, by period (2005-2010, 2011-2016, 2017-2022). Results: The 12-month cumulative incidence of any psychiatric disorder diagnosis in the CRC cohort increased from 6.3% in 2005-2010 to 8.2% in 2017-2022. The strongest increase was observed for reaction to severe stress and adjustment disorder (1.0% in 2005-2010 to 2.6% in 2017-2022). Notably, the strong increase in psychiatric disorders was not specific for cancer patients since a slight increase in psychiatric disorders was also observed in the non-cancer cohort. Regression analyses revealed that CRC was strongly and significantly associated with an increased risk of depression, anxiety disorders, reaction to severe stress and adjustment disorders, as well as any psychiatric disorder. Of note, the extent of the association was stronger in 2017-2022 compared to 2005-2010, clearly proving a "real" increase in the rates of psychiatric disorders over time. Conclusions: This study presents novel data from a large cohort of outpatients in Germany, providing strong evidence for an increase in psychiatric disorders in the recent years. These findings contribute to the existing body of literature and should trigger the recognition of psychiatric problems in cancer survivors.

Investigating the association of opioid prescription with the incidence of psychiatric disorders: nationwide cohort study in South Korea.

The relationship between opioid use and the incidence of psychiatric disorders remains unidentified. This study examined the association between the incidence of psychiatric disorders and opioid use. Data for this population-based cohort study were obtained from the National Health Insurance Service of South Korea. The study included all adult patients who received opioids in 2016. The control group comprised individuals who did not receive opioids in 2016, and were selected using a 1:1 stratified random sampling procedure. Patients with a history of psychiatric disorders diagnosed in 2016 were excluded. The primary end-point was the diagnosis of psychiatric disorders, evaluated from 1 January 2017 to 31 December 2021. Psychiatric disorders included schizophrenia, mood disorders, anxiety and others. The analysis included 3 505 982 participants. Opioids were prescribed to 1 455 829 (41.5%) of these participants in 2016. Specifically, 1 187 453 (33.9%) individuals received opioids for 1-89 days, whereas 268 376 (7.7%) received opioids for ≥90 days. In the multivariable Cox regression model, those who received opioids had a 13% higher incidence of psychiatric disorder than those who did not (hazard ratio 1.13; 95% CI 1.13-1.14). Furthermore, both those prescribed opioids for 1-89 days and for ≥90 days had 13% (hazard ratio 1.13, 95% CI 1.12-1.14) and 17% (hazard ratio 1.17, 95% CI 1.16-1.18) higher incidences of psychiatric disorders, respectively, compared with those who did not receive opioids. This study revealed that increased psychiatric disorders were associated with opioid medication use. The association was significant among both short- and long-term opioid use.

Diagnostic Transitions from Primary Psychiatric Disorders to Underlying Medical Conditions: A 5-Year Retrospective Survey from a University Hospital Sample.

Undiagnosed underlying medical conditions can cause many patients to be followed, for years, by a diagnosis of a primary psychiatric disorder and to receive inappropriate treatment. The aim of this study was to determine the prevalence of patients initially diagnosed with a primary psychiatric disorder but whose symptoms were later attributed to medical conditions. These patients' initial and final diagnoses were also examined. The records of 1843 patients hospitalized in Gazi University Faculty of Medicine Psychiatric Inpatient Clinic between 2015 and 2020 were examined in this retrospective and descriptive study. Thirteen patients were excluded from the study due to insufficient data. Descriptive statistics were performed on the data of 30 patients diagnosed with an underlying medical condition. In follow-up, 49 patients' diagnoses changed. 19 patients had a diagnosis unrelated to an underlying medical condition, and 30 had a diagnosis related to an underlying medical condition. Five (16.7%) of the patients, previously known to have psychiatric disorders, were found to have Alzheimer's disease. Brain space-occupying lesions, frontotemporal dementia, epilepsy, Parkinson's disease, and Arnold-Chiari malformation followed Alzheimer's disease at 6.7% (n = 2). The mean time until the diagnosis of the patients was revised was 4.95 years (standard deviation [SD] = 7.78). It was observed that psychotropic medications (90%) were used more than non-psychotropic drugs until the diagnosis was revised. During the diagnostic process, we believe that clinicians should be aware of potential underlying medical conditions and that the multidisciplinary work of psychiatry and neurology is also crucial.

Assessing anxiety symptoms and Traumatic Event Scale scores among medical staff during the COVID-19 pandemic in Colombia: a descriptive cohort study in Bogotá

ObjectiveThis study aims to assess anxiety and suffering symptoms amid the pandemic, determine factors linked to physicians’ anxiety with COVID-19 patients and describe symptom progression in the initial year of...

Schneiderian First Rank Symptoms Significantly Predict a Dissociative Disorder Diagnosis in Psychiatric In-Patients

ABSTRACT Previous empirical studies on the relationship between psychotic symptoms and dissociative disorders focused on auditory hallucinations only or employed limited statistical analyses. We investigated whether the frequency of Schneiderian first rank symptoms (FRS) predicts the presence or absence of a dissociative disorder (DD). Psychiatric in-patients (n = 116) completed measures of dissociation, FRS and general psychological distress (GPD). DD diagnoses were confirmed by multidisciplinary teams or administering the Structured Clinical Interview for DSM-IV Dissociative Disorders-Revised (SCID-D-R). The FRS were recorded in the Multidimensional Inventory of Dissociation (MID) and a mean score obtained for 35 relevant items: Voices arguing, voices commenting, made feelings, made impulses, made actions, influences on body, thought withdrawal, and thought insertion. A global severity index (GSI) of GPD was obtained from the Symptom Checklist–90–Revised (SCL-90-R). Logistic regression models examined whether FRS predict diagnostic classification of patients under a DD (n = 16) or not (n = 100), controlling for GSI. The overall fit of the model was significant (p = .0002). DD was correctly classified using frequency of FRS, controlling for GSI. The latter was moderately associated with FRS (r = 0.56). FRS more than doubled the odds of a DD diagnosis (odds = 2.089; 95% CI = 1.409–3.098; correct classification rate 87.1%). The study provides convincing evidence that FRS are closely related to DDs. FRS should alert clinicians to consider DDs in differential diagnosis of psychiatric in-patients. Future research should analyze whether FRS also predict a diagnosis of schizophrenia or other psychiatric disorders.

Neurocognitive functions in siblings of patients with bipolar disorder

ObjectivesSome studies suggest that there are deficits in neurocognitive functions in the euthymic phase of bipolar disorder and healthy relatives of patients with bipolar disorder and that these neurocognitive disorders may be the endophenotype for bipolar disorder. This study aimed to evaluate the neurocognitive functions of unaffected siblings of patients with bipolar disorder compared with the healthy controls. MethodsThe study included the unaffected siblings of patients with bipolar disorder (n = 75) and healthy volunteers without a family history of bipolar disorder (n = 50). The Structured Clinical Interview for DSM-IV (SCID-I) was administered to each individual to investigate the diagnosis of Axis-I psychiatric disorders according to DSM-IV. The Judgment of Line Orientation Test, the Auditory Verbal Learning Test, the Serial Digit Learning Test, the Stroop Color Word Test, and the Trail Making Test were used to evaluate neurocognitive functions. ResultsOur study found no difference between the groups regarding processing speed, set-shifting, and mental flexibility. However, unaffected siblings of patients with bipolar disorder had significantly worse performance than healthy controls in verbal learning and memory, response inhibition, and visuospatial function. ConclusionsThis study suggests that visuospatial function, response inhibition, verbal learning, and memory may be endophenotypic markers for bipolar disorder.

Metabolic Profile and Long-Term Risk of Depression, Anxiety, and Stress-Related Disorders

Biomarkers of lipid, apolipoprotein, and carbohydrate metabolism have been previously suggested to be associated with the risk for depression, anxiety, and stress-related disorders, but results are inconsistent. To examine whether the biomarkers of carbohydrate, lipid, and apolipoprotein metabolism are associated with the risk of depression, anxiety, and stress-related disorders. This population-based cohort study with longitudinal data collection assessed 211 200 participants from the Apolipoprotein-Related Mortality Risk (AMORIS) cohort who underwent occupational health screening between January 1, 1985, and December 31, 1996, mainly in the Stockholm region in Sweden. Statistical analysis was performed during 2022 to 2023. Lipid, apolipoprotein, and carbohydrate biomarkers measured in blood. The associations between biomarker levels and the risk of developing depression, anxiety, and stress-related disorders through the end of 2020 were examined using Cox proportional hazards regression models. In addition, nested case-control analyses were conducted within the cohort, including all incident cases of depression, anxiety, and stress-related disorders, and up to 10 control individuals per case who were individually matched to the case by year of birth, sex, and year of enrollment to the AMORIS cohort, using incidence density sampling. Population trajectories were used to illustrate the temporal trends in biomarker levels for cases and controls. A total of 211 200 individuals (mean [SD] age at first biomarker measurement, 42.1 [12.6] years; 122 535 [58.0%] male; 188 895 [89.4%] born in Sweden) participated in the study. During a mean (SD) follow-up of 21.0 (6.7) years, a total of 16 256 individuals were diagnosed with depression, anxiety, or stress-related disorders. High levels of glucose (hazard ratio [HR], 1.30; 95% CI, 1.20-1.41) and triglycerides (HR, 1.15; 95% CI, 1.10-1.20) were associated with an increased subsequent risk of all tested psychiatric disorders, whereas high levels of high-density lipoprotein (HR, 0.88; 95% CI, 0.80-0.97) were associated with a reduced risk. These results were similar for male and female participants as well as for all tested disorders. The nested case-control analyses demonstrated that patients with depression, anxiety, or stress-related disorders had higher levels of glucose, triglycerides, and total cholesterol during the 20 years preceding diagnosis, as well as higher levels of apolipoprotein A-I and apolipoprotein B during the 10 years preceding diagnosis, compared with control participants. In this cohort study of more than 200 000 participants, high levels of glucose and triglycerides and low levels of high-density lipoprotein were associated with future risk of depression, anxiety, and stress-related disorders. These findings may support closer follow-up of individuals with metabolic dysregulations for the prevention and diagnosis of psychiatric disorders.

Factors Associated With Uptake of an Open Access Health Center–Based Mobile Produce Market: A Case for Expanded Eligibility

BackgroundHealth care–based food assistance programs show promise but are underutilized. Strict eligibility requirements and program scheduling may dampen reach and outcomes. ObjectiveTo explore factors associated with uptake of a health center–based mobile produce market with no eligibility requirements and few barriers to entry. DesignA cross-sectional analysis of medical record, sociodemographic, environmental, and market attendance data was used. Participants/SettingThe study sample consisted of 3071 adults (18+ years) who were patients of an urban health center in eastern Massachusetts and registered for the mobile market during the study period of August 2016 to February 2020. Main Outcome MeasuresThe main outcome measure was monthly market attendance over the study period. Statistical AnalysesT-tests and χ2 tests were used to compare market users and never-users. Multiple logistic regression was used to analyze variables associated with market attendance each month. ResultsIn multiple variable analyses, Supplemental Nutrition Assistance Program (SNAP) enrollment was associated with slightly less frequent monthly market use (odds ratio [OR], 0.989; 95% CI, 0.984–0.994). Day-of, on-site market registration was associated with more frequent monthly use than self-registration on nonmarket days (OR, 1.08; 95% CI, 1.07–1.08). Having a psychiatric or substance use disorder diagnosis was associated with slightly less frequent market attendance (OR, 0.99; 95% CI, 0.98–0.99; and OR, 0.96; 95% CI, 0.95–0.97, respectively) compared with registrants without these diagnoses. ConclusionsIndividual, community-level, and organizational factors are associated with uptake of a free mobile produce market and should be considered when designing programs.

Shifting the paradigm in how we assess and treat perinatal psychopathology.

Both syndromic and subsyndromal episodes of psychiatric disorders are common during and after pregnancy and are associated with adverse consequences for the mother and her baby. Despite remarkable opportunities for the detection of at-risk women, the prevention and treatment of peripartum recurrences of psychiatric disorders remain a challenge for physicians, and allied professionals This brief report discusses the importance of subsyndromal symptoms and offers suggestions to improve the assessment, diagnosis, and treatment of perinatal psychiatric disorders.

Adverse Childhood Experiences and Adult Mental Health Outcomes

Exposure to adverse childhood experiences (ACEs) has consistently been associated with multiple negative mental health outcomes extending into adulthood. However, given that ACEs and psychiatric disorders cluster within families, it remains to be comprehensively assessed to what extent familial confounding contributes to associations between ACEs and clinically confirmed adult psychiatric disorders. To investigate whether associations between ACEs and adult mental health outcomes remain after adjusting for familial (genetic and environmental) confounding. This Swedish twin cohort study used a discordant twin pair design based on monozygotic (MZ) and dizygotic (DZ) twins. A total of 25 252 adult twins (aged 18-47 years) from the Swedish Twin Registry born between 1959 and 1998 were followed up from age 19 years until 2016, with a maximum follow-up time of 39 years. Data were analyzed from April 2022 to November 2023. A total of 7 ACEs, including family violence, emotional abuse or neglect, physical neglect, physical abuse, sexual abuse, rape, and hate crime, were assessed with items from the Life Stressor Checklist-Revised in a web-based survey. Adult (ages >18 years) clinical diagnosis of psychiatric disorders (ie, depressive, anxiety, alcohol or drug misuse, or stress-related disorders) were obtained from the Swedish National Patient Register. Of 25 252 twins included in the study (15 038 female [59.6%]; mean [SD] age at ACE assessment, 29.9 [8.7] years), 9751 individuals (38.6%) reported exposure to at least 1 ACE. A greater number of ACEs was associated with increased odds of any psychiatric disorder in the full cohort (odds ratio [OR] per additional ACE, 1.52; 95% CI, 1.48-1.57). The association remained but ORs per additional ACE were attenuated in DZ (1.29; 95% CI, 1.14-1.47) and MZ (1.20; 95% CI, 1.02-1.40) twin pairs. Individuals who were exposed to sexual abuse compared with those who were not exposed had increased odds of any clinically confirmed psychiatric disorder in all comparisons: full cohort (OR, 3.09; 95% CI, 2.68-3.56), DZ twin pairs (OR, 2.10; 95% CI, 1.33-3.32), and MZ twin pairs (1.80; 95% CI, 1.04-3.11). This study found that associations between ACEs and adult mental health outcomes remained after controlling for shared genetic and environmental factors, which was particularly evident after multiple ACEs or sexual abuse. These findings suggest that targeted interventions may be associated with reduced risks of future psychopathology.

MicroRNAs as Potential Biomarkers of Mental Disorders: Diagnostic and Prognostic Implications

Background: microRNAs are small non-coding RNAs that play a crucial role in post-transcriptional regulation of gene expression. Recent studies indicate the involvement of microRNAs in the pathogenesis of various psychiatric disorders, which allows to consider them as diagnostic biomarkers and therapeutic targets.The aim of this literature review is to analyse curren research on the involvement of microRNAs in the formation of psychiatric disorders, focusing on their potential as diagnostic and prognostic biomarkers. Materials and methods: to find relevant publications, we searched eLibrary and PubMed databases using the following keywords and terms: microRNAs, mental disorders, psychological status, biomarkers, diagnosis, prognosis.Conclusion: numerous studies suggest that microRNAs are involved in the regulation of critical molecular pathways associated with psychiatric disorders, including neurotransmission, neurodevelopment, and synaptic plasticity. Dysregulation of certain microRNAs has been observed in various psychiatric disorders such as major depressive disorder, schizophrenia, bipolar disorder, anxiety disorders, autism spectrum disorders, attention-deficit/hyperactivity disorder and addictive disorders. It is highlighted that the investigated microRNAs have a high potential to be used as diagnostic biomarkers, opening up possibilities for early detection and personalised treatment strategies. The identification of specific microRNAs associated with different psychiatric disorders offers new opportunities to develop innovative diagnostic approaches and targeted therapeutic interventions. However, a number of challenges remain, including differences in microRNA expression levels and profiles due to the heterogeneity of psychiatric disorders, the need for standardisation of microRNA analysis protocols and their further validation in large-scale studies on different patient populations. Collaborative efforts between basic genetics researchers and clinicians are needed to harness the full potential of microRNA analysis for the diagnosis and treatment of psychiatric disorders.

Perfectionistic Self-Presentation and Psychopathology: A Systematic Review and Meta-Analysis.

Decades of research implicate perfectionism as a risk factor for psychopathology. Most research has focused on trait perfectionism (i.e., needing to be perfect), but there is a growing focus on perfectionistic self-presentation (PSP) (i.e., the need to seem perfect). The current article reports the results of a meta-analysis of previous research on the facets of PSP and psychopathology outcomes (either clinical diagnoses of psychiatric disorders or symptoms of these disorders). A systematic literature search retrieved 30 relevant studies (37 samples; N = 15,072), resulting in 192 individual effect-size indexes that were analysed with random-effect meta-analysis. Findings support the notion of PSP as a transdiagnostic factor by showing that PSP facets are associated with various forms of psychopathology, especially social anxiety, depression, vulnerable narcissism and-to lesser extent-grandiose narcissism and anorexia nervosa. The results indicated that there both commonalities across the three PSP and some unique findings highlighting the need to distinguish among appearing perfect, avoiding seeming imperfect and avoiding disclosures of imperfections. Additional analyses yielded little evidence in the results across studies including undergraduates, community samples and clinical samples. Our discussion includes a focus on factors and processes that contribute to the association between PSP and psychopathology.

Prescribing Patterns of Psychotropic Medications for Common Psychiatric Disorders in a Mental Health Hospital in Tabuk.

Mental health disorders are often chronic and disabling conditions that impact different populations, irrespective of age, cultural background, or socioeconomic status. This study aimed to describe the prescribing pattern of psychotropic medications in patients with psychiatric disorders. This research was a retrospective investigation of psychotropic medication prescribing patterns and conducted at Eradah Mental Health Hospital at Tabuk City, SaudiArabia. The data were extracted from the electronic medical database of adult patients presenting to the outpatient and inpatient clinics of a mental health hospital between 2020 and 2023. The diagnosis of psychiatric disorders was identified using the International Classification of Diseases 10th Revision (ICD-10) codes version 2019 for mental and behavioral disorders (F00 to F99). The electronic medication records of 526 patients were reviewed, of whom 510 (97%) were Saudi nationals, 368 (69.9%) were males, 235 (44.7%) were between 31 and 40 years of age, and 233 (44.3%) were outpatients. The most common psychiatric diagnoses were schizophrenia (33.3%), followed by bipolar affective disorder (16.9%). A total of 2,153 medication orders for psychotropic medications were quantified. Second-generation antipsychotics (SGAs) and first-generation antipsychotics (FGAs) were the top prescribed medication classes (1,290, 60%), followed by mood stabilizers (324, 15%). More than one-half of the patients (282, 53.6%) received a combination of antipsychotic and mood stabilizers, and 155 (29.5%) received a combination of antipsychotic and antidepressant medications.No significant differences were observed in prescribing for males and females. Schizophrenia was highly prevalent among adult patients who sought mental healthcare. Polypharmacy of psychotropic medication was common depending on the symptoms' severity and comorbid psychiatric diseases.

SARS-CoV-2 Infection and Risk of Postacute Psychiatric and Neurologic Diagnoses: A Nationwide Danish Cohort Study.

The extent and burden of postacute psychiatric and neurologic manifestations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are not yet fully understood. To evaluate the association between SARS-CoV-2 infection and postacute manifestations of psychiatric and neurologic disorders, we conducted a nationwide cohort study including the entire Danish population aged 12 years or older on March 1, 2020. Individuals were followed up for SARS-CoV-2 infection and diagnosis of subsequent psychiatric and neurologic disorders from March 1, 2020, to January 31, 2023, using the Danish nationwide coronavirus disease 2019 (COVID-19) test surveillance database and the Danish National Patient Registry. The main period of interest was 1-12 months after infection. Incidence rate ratios (IRRs) of new onset of 11 psychiatric and 30 neurologic disorders were calculated by comparing incidence rates of disorders between SARS-CoV-2-positive individuals and individuals without a positive test (nonpositive individuals). Stratified analyses were conducted according to COVID-19 vaccination status, variant period, age, sex, and severity of infection. Overall, 1,775,639 individuals in the study cohort (n = 3,239,008) were tested SARS-CoV-2 positive during follow-up. SARS-CoV-2-positive individuals compared with nonpositive individuals were at 24% reduced risk of any psychiatric disease (IRR 0.76, 95% CI 0.74-0.78) in the postacute period. The risk of any neurologic disorder was slightly higher among SARS-CoV-2-positive individuals than among those without a positive test (IRR 1.05, 95% CI 1.04-1.07). IRRs for specific disorders varied considerably from a 3.9-fold increased risk of change in sense of smell or taste (IRR 3.91, 95% CI 2.77-5.53) to a 29% reduced risk of dementia (IRR 0.71, 95% CI 0.65-0.78). The severity of infection and vaccination status, more so than age, sex, and variant, were found to significantly influence the stratified IRRs. Compared with nonpositive individuals, hospitalized patients with COVID-19 were at a 2.1-fold (IRR 2.05, 95% CI 1.78-2.37) increased risk of psychiatric disorders and at a 2.4-fold increased risk of neurologic disorders (IRR 2.44, 95% CI 2.29-2.60). Our study does not support previous findings of substantial postacute neurologic and psychiatric morbidities among the general population of SARS-CoV-2-infected individuals, but does corroborate an elevated risk among the most severe cases with COVID-19.

Suicide death and other-cause mortality in psychiatric patients: A South Korean study using nationwide claims data

IntroductionIt is well-known that suicide and excess mortality are high in patients with psychiatric illnesses and this has long been an important issue in the field of mental health. We aim to investigate suicide and other-cause deaths in patients with psychiatric illnesses. MethodsThis retrospective, population-based cohort was based on the National Health Insurance claims data of the first admission with a principal diagnosis of major psychiatric disorder between 2010 and 2011, and followed up to 2020. A total of 95,855 participants were enrolled. Suicide and other-cause mortality were assessed through Log-rank test and Kaplan-Meier curve. ResultsThere were 95,855 patients, with an average age of 48.2 years. The number of suicide deaths and other-cause deaths was 2408 (288.1 per 100,000 person-years) and 15,192 (1817.6 per 100,000 person-years), respectively. The rate of healthcare utilization prior to suicide was 95.0 %, and the rate of utilization prior to one week before suicide was 43.5 %. The risk of suicide was highest in patients with depression, followed by alcohol use disorder, schizophrenia, and bipolar disorder. ConclusionsThis study revealed various factors related to healthcare utilization associated with suicide and other-cause deaths in psychiatric patients. Educating frontline healthcare professionals, psychiatrists, emergency department personnel, and general practice doctors using such as Gatekeeper program is important to prevent suicides.

Leveraging big data for causal understanding in mental health: a research framework.

Over the past 30 years there have been numerous large-scale and longitudinal psychiatric research efforts to improve our understanding and treatment of mental health conditions. However, despite the huge effort by the research community and considerable funding, we still lack a causal understanding of most mental health disorders. Consequently, the majority of psychiatric diagnosis and treatment still operates at the level of symptomatic experience, rather than measuring or addressing root causes. This results in a trial-and-error approach that is a poor fit to underlying causality with poor clinical outcomes. Here we discuss how a research framework that originates from exploration of causal factors, rather than symptom groupings, applied to large scale multi-dimensional data can help address some of the current challenges facing mental health research and, in turn, clinical outcomes. Firstly, we describe some of the challenges and complexities underpinning the search for causal drivers of mental health conditions, focusing on current approaches to the assessment and diagnosis of psychiatric disorders, the many-to-many mappings between symptoms and causes, the search for biomarkers of heterogeneous symptom groups, and the multiple, dynamically interacting variables that influence our psychology. Secondly, we put forward a causal-orientated framework in the context of two large-scale datasets arising from the Adolescent Brain Cognitive Development (ABCD) study, the largest long-term study of brain development and child health in the United States, and the Global Mind Project which is the largest database in the world of mental health profiles along with life context information from 1.4 million people across the globe. Finally, we describe how analytical and machine learning approaches such as clustering and causal inference can be used on datasets such as these to help elucidate a more causal understanding of mental health conditions to enable diagnostic approaches and preventative solutions that tackle mental health challenges at their root cause.

Occurrence and predictors of lifetime suicidality and suicidal ideation in autistic adults

In the past 40 years, accumulating evidence suggested that autistic individuals are at an increased risk of suicidal thoughts and behaviors. This study examined the occurrence of various potential risk factors for lifetime suicidal behavior and suicidal thoughts in the past month in a Dutch cohort (Netherlands Autism Register) of autistic individuals using the Suicidal Behaviors Questionnaire (SBQ-R) and the Suicidal Ideation Attributes Scale (SIDAS). Our results show that the majority (80%) of the initial sample ( N = 1164) had thought about or attempted suicide in their lifetime, of which 15% had attempted suicide. In the final sample ( n = 421), backward linear regression analyses identified the following predictors for suicidal behavior: psychiatric comorbidity, loneliness, and higher number of autistic traits, F(3, 240) = 21.22, p < 0.001, with R2 of 0.21. For suicidal thoughts in the past month, psychiatric comorbidity and a higher number of autistic traits were significant predictors, F(2, 241) = 20.34, p < 0.001, with R2 of 0.14. In sum, additional risk markers for suicidal thoughts and behaviors in autistic individuals (e.g. number of autistic traits) should be considered when assessing the suicide risk in autistic individuals. Future research should focus on adapting suicide prevention interventions for autistic individuals, such as addressing loneliness as one of the intervention strategies. Lay Abstract Over the past few years, more and more research is showing that many autistic people are at an increased risk for suicide. In this study, we asked participants from the Netherlands Autism Register, which is longitudinal register including individuals with autism, about their possible experiences with thoughts and feelings about suicide. Specifically, we looked at whether these thoughts and feelings in their lifetime and in the past month were related to various factors (such as their age, gender, and having psychiatric disorder diagnoses). We found that 80% of the participants had experienced thoughts about or even attempted to take their own life at least once throughout their lifetime. Furthermore, in a subgroup of participants, we found that the presence of a psychiatric disorder diagnosis, feelings of loneliness, and a higher number of autistic traits were associated with experiencing suicidal thoughts and feelings in their lifetime. For those who experienced these suicidal thoughts in the past month, we found that having (multiple) psychiatric disorder diagnoses and a higher number of autistic traits were related to more severe and frequent thoughts about suicide in the past month. Our findings show that additional factors in autistic individuals should be considered when assessing the suicide risk, and it brings us one step closer to understanding why suicide is more common for autistic people.

Association of psychiatric disorders with clinical diagnosis of long COVID in US veterans.

Psychiatric disorders may be a risk factor for long COVID, broadly defined as COVID-19 conditions continuing three months post-acute infection. In US Veterans with high psychiatric burden, we examined associations between psychiatric disorders and clinical diagnosis of long COVID. We conducted a retrospective cohort study using health records from VA patients with a positive SARS-CoV-2 test from February 2020 to February 2023. Generalized linear models estimated associations between any psychiatric disorder and likelihood of subsequent diagnosis with long COVID (i.e. two or more long COVID clinical codes). Models were adjusted for socio-demographic, medical, and behavioral factors. Secondary models examined individual psychiatric disorders and age-stratified associations. Among 660 217 VA patients with positive SARS-CoV-2 tests, 56.3% had at least one psychiatric disorder diagnosis and 1.4% were diagnosed with long COVID. Individuals with any psychiatric disorder had higher risk for long COVID diagnosis in models adjusted for socio-demographic factors, vaccination status, smoking, and medical comorbidities (relative risk, RR = 1.28, 95% CI 1.21-1.35), with the strongest associations in younger individuals. Considering specific disorders, depressive, anxiety, and stress-related disorders were associated with increased risk for long COVID diagnoses (RRs = 1.36-1.48), but associations were in the opposite direction for substance use and psychotic disorders (RRs = 0.78-0.88). Psychiatric disorder diagnoses were associated with increased long COVID diagnosis risk in VA patients, with the strongest associations observed in younger individuals. Improved surveillance, treatment, and prevention for COVID-19 and its long-term sequelae should be considered for individuals with psychiatric conditions.

ViolHelp: results of a pilot study to identify potential warning signs and risk factors for self- and hetero-directed violence in the calls received by the Helplines of the Italian National Institute of Health.

Self- and hetero-directed violence (SHDV) is a serious public health problem and a complex phenomenon, influenced by individual and environmental factors. SHDV may occur particularly in moments of personal, economic and/or social crisis. During the COVID-19 pandemic, the ISS-Helplines operators have perceived an increase in psychological distress and self-isolation among callers. The ViolHelp project aimed at identifying potential warning signs and risk factors of SHDV emerging in the activity of the ISS-Helplines (Istituto Superiore di Sanità, ISS, Italian National Institute of Health). A dashboard collecting warning signs and risk factors of SHDV was developed to be used during the ISS-Helplines activity. In one year of data collection, 135 calls were compiled. In 106 calls, callers referred experienced violence: 72 self-directed violence (SDV), 20 hetero-directed violence (HDV), 14 both. The most frequent warning signs and risk factors for SDV were desire to die (68.6%), previous suicide attempts (31.4%) and threat of self-harm (25.6%); for HDV were depressed mood (32.4%), diagnosis of pathology and/or psychiatric disorders, desire to die, use of psychotropic drugs, and alcohol abuse (29.4%). The results of this pilot project show the importance of being able to read the warning signs and to create a network that can improve information, prevention and support activities for people at risk of violence and their families.