Prevalence Of Psychiatric Diagnoses Research Articles

Identifying diagnosed major chronic diseases associated with recent housing instability among aging adults: data from the 'All of Us' research program.

Housing instability is a known barrier to healthcare utilization potentially affecting the prevention, diagnosis and treatment of chronic diseases among diverse groups of adults. We examined the intersection of recent housing instability with prevalent cardiovascular disease, diabetes, cancer and psychiatric diagnoses among aging adults. Cross-sectional data on 147465 participants of the 'All of Us' Research Program (6 May 2018-1 July 2022), ≥50years of age at enrollment, were analyzed. Self-reported housing instability over the past 6 months was examined in relation to diagnosed conditions at age≥50years based on electronic health records. Multivariable logistic regression models sequentially adjusting for demographic and socioeconomic characteristics were constructed to estimate odds ratios (OR) with their 95% confidence intervals (CI). After adjusting for confounders, past 6 months housing instability was associated with lower odds of diagnosed cardiovascular disease (OR=0.89, 95% CI: 0.87, 0.93) and cancer (OR=0.82, 95% CI: 0.78, 0.86), higher odds of diagnosed psychiatric (OR=1.35, 95% CI: 1.30, 1.40) conditions, but was unrelated to diagnosed diabetes (OR=0.98, 95% CI: 0.94, 1.01). Recent housing instability among aging adults is positively associated with psychiatric diagnoses, but negatively associated with cardiovascular and cancer diagnoses, with implications for chronic disease prevention.

The Interrelationship of Benefit Finding, Stigma, and Suicide Risk Among Patients with Schizophrenia and Their Caregivers: A Six-Month Follow-Up Study.

This study aimed to assess the dyadic dynamics of benefit finding, stigma, and suicide risk on the depression severity of individuals with schizophrenia and their caregivers. We prospectively recruited a total of 72 individuals with schizophrenia and 72 caregivers of individuals with schizophrenia from a medical center in Taiwan between August 2022 and July 2023. Patients with schizophrenia and their caregivers were assessed using the Taiwanese Depression Questionnaire, Benefit Finding Scale, Explanatory Model Interview Catalogue, Suicide Assessment Scale, and Mini International Neuropsychiatric Interview. The most prevalent psychiatric diagnoses in the caregivers were depressive disorders (29.2%). Using structural equation modeling, we found that patients' suicidal risk (β = 0.45, p < 0.001) may contribute to the severity of depression in individuals with schizophrenia. We also found that caregivers' BF degree (β = -0.25, p < 0.01) and suicidal risk (β = 0.64, p < 0.001) may contribute to the severity of depression in the caregivers of individuals with schizophrenia. Furthermore, we found that caregivers' suicidal risk (β = 0.28, p < 0.05) and caregivers' stigma (β = -0.31, p < 0.01) level may contribute to the severity of depression in individuals with schizophrenia. Clinicians should actively manage caregivers' stigma and provide positive reinforcement for caregivers' BF, as this may help reduce depression in both caregivers and individuals with schizophrenia. Additionally, assessing suicide risk in both groups is essential for preventing suicides among individuals with schizophrenia and caregivers alike.

Extended length of stay in an Australian private psychiatric hospital: an observational study of patient, clinical, and treatment characteristics

BackgroundPatient extended length of stay has been scarcely studied in Australian inpatient psychiatric units (IPUs). Previous research has focused on public IPUs, however, private IPUs also care for a large proportion of people with mental illness.ObjectivesThis study aimed to identify patient, clinical, and treatment characteristics associated with ELOS within a private IPU and compare these characteristics with those of public IPUs. It is hypothesised that patients with ELOS will have complex characteristics such as high unemployment status, multiple psychiatric diagnoses and physical health comorbidities.MethodThis cross-sectional study examined characteristics of ELOS in a private Australian IPU between 1st July 2018 and 30th July 2019. A retrospective patient file audit collected characteristics of ELOS patients.ResultsOf the 54 ELOS patients (M = 42.52 years [18.62]) admitted, the average LOS was 55.04 days (SD = 4.4 days). Most patients were female (77.8%), single (44.4%) and their income status was unemployed (25.9%), employed (24.1%) and pensioner (22.2%). The most prevalent psychiatric diagnoses were major depressive disorder (29.6%), eating disorder (24.1%), alcohol or substance use disorder (7.4%), and complex post-traumatic stress disorder (7.4%) respectively.ConclusionThis study highlights patient, clinical, and treatment characteristics prevalent among private inpatients with ELOS. Future research should examine whether these are distinct from admissions that are not prolonged, with the aim to identify and reduce ELOS, and improve patient recovery, hospital flow and capacity.

Population-adjusted numbers, demographics and mental health among children and adolescents referred to the Norwegian National Center for Gender Incongruence over two decades.

Over the last decade, there has been a sharp increase in young people seeking medical treatment for gender dysphoria/gender incongruence (GD/GI). The aims of this study were to calculate yearly population-adjusted numbers of children and adolescents referred to the Norwegian National Center for Gender Incongruence (NCGI) at Oslo University Hospital (OUS) from 2000 to 2022; to describe the demographic characteristics and prevalence of psychiatric diagnoses, self-harm and suicide attempts among the referred from 2000 to 2020; and to investigate time trends. The study used data from the Gender Incongruence Registry for Children and Adolescents (GIRCA) in Norway. All persons under 18 years (n = 1258) referred to the NCGI between 2000 and 2020 were included: 68.4% assigned female gender at birth (AFAB) and 31.6% assigned male gender at birth (AMAB). We found a sharp increase in referrals to the NCGI favouring AFAB over AMAB. Nearly two in three (64.5%) had one or more registered psychiatric diagnoses. Self-harm was registered among 35.5%, and 12.7% had attempted suicide. Registered psychiatric diagnoses were significantly (p ≤ 0.001) more prevalent among AFAB (67.8%) than AMAB (57.4%). The number of registered diagnoses per person decreased significantly over time, with an average reduction of 0.02 diagnoses per person per year. Although there was a downward time trend in registered diagnoses per person, the total mental health burden among children and adolescents with GI emphasizes the need for a holistic approach.

Comparing diagnostic criteria for posttraumatic stress disorder in a diverse sample of trauma-exposed youth.

Divergent conceptualization of posttraumatic stress disorder (PTSD) within the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) and International Statistical Classification of Diseases and Related Health Problems (11th ed..; ICD-11) significantly confounds both research and practice. Using a diverse sample of trauma-exposed youth (N = 1,542, age range: 8-20 years), we compared these two diagnostic approaches along with an expanded version of the ICD-11 PTSD criteria that included three additional reexperiencing symptoms (ICD-11+). Within the sample, PTSD was more prevalent using the DSM-5 criteria (25.7%) compared to the ICD-11 criteria (16.0%), with moderate agreement between these diagnostic systems, κ =.57. The inclusion of additional reexperiencing symptoms (i.e., ICD-11+) reduced this discrepancy in prevalence (24.7%) and increased concordance with DSM-5 criteria, κ =.73. All three PTSD classification systems exhibited similar comorbidity rates with major depressive episode (MDE) or generalized anxiety disorder (GAD; 78.0%-83.6%). Most youths who met the DSM-5 PTSD criteria also met the criteria for ICD-11 PTSD, MDE, or GAD (88.4%), and this proportion increased when applying the ICD-11+ criteria (95.5%). Symptom-level analyses identified reexperiencing/intrusions and negative alterations in cognition and mood symptoms as primary sources of discrepancy between the DSM-5 and ICD-11 PTSD diagnostic systems. Overall, these results challenge assertions that nonspecific distress and diagnostically overlapping symptoms within DSM-5 PTSD inflate comorbidity with depressive and anxiety disorders. Further, they support the argument that the DSM-5 PTSD criteria can be refined and simplified without reducing the overall prevalence of psychiatric diagnoses in youth.

Extent of substance abuse among patients with psychiatric disorders in Amman, Jordan

IntroductionThe issue of substance abuse is increasingly being recogniszed as a significant global public health concern. In relation to its influence on the Arab world, scholarly investigation continues to be regarded as relatively constrained in scope.ObjectivesThe primary goal of the present study was to investigate the extent of substance abuse in a sample of patients with psychiatric disorders who attended a psychiatric clinic in Amman and analyse this in relation to demographic and clinical variables.MethodsIn this prospective study, we investigated the prevalence, sociodemographic, and clinical characteristics of substance abuse among patients with psychiatric disorders who attended an outpatient private psychiatric clinic in Amman, Jordan between January and May 2023. Overall, 671 patients were enrolled. We compared demographic and clinical parameters of drug abuse and non-drug abuse patients.ResultsAmong the 671 patients included in the study, 48.0% (n=322) reported substance use, while 52.0% (n=349) did not. The mean age of the patients was 32.45±10.18 years. The sample included 546 male patients (81.4%). Among the participants, 388 (57.8%) were single, 360 (53.7%) held a bachelor’s degree or higher, 394 (58.7%) were employed, and 545 (81.2%) lived with their families. 506 (75.4%) were smokers, 110 (16.4%) reported having a medical illness, and 25% reported engaging in self-harm. The most prevalent psychiatric diagnosis was major depressive disorder, accounting for 30.6% of cases, followed by anxiety disorders. Additionally, 148 patients (22.1%) reported emotional abuse, 40 (6.0%) reported physical abuse, 57 (8.8%) reported sexual abuse, and 47 (7.0%) had a family history of substance use.ConclusionsOur research findings indicate that substance abuse is more prevalent among certain demographic groups, specifically young, unemployed, male patients with a low level of education and a family history of substance use. These findings highlight the need for further research in diverse settings and populations to better understand the scope and underlying factors contributing to substance abuse in Arab countries. Additionally, targeted interventions and prevention strategies should be developed to address the specific needs of these high-risk groups and reduce the burden of substance abuse in these communities.Disclosure of InterestNone Declared

The prevalence of off-label use and supratherapeutic blood levels of outpatient psychotropic medication in suicidal adolescents.

Adolescents with mental disorders show an increased risk of suicidal phenomena. Vice versa, suicidality is a serious adverse event of psychotropic drug therapy in adolescents. There are only a few new psychotropic agents approved for this young age group. We evaluated the (pre-pandemic) prevalence of off-label use as well as detailed blood concentrations of outpatient psychotropic medication and sex differences in a clinical population of suicidal adolescents. The urine presence and serum levels of psychotropic substances of adolescents hospitalized due to their acute suicidality but without a known actual suicide attempt (i.e., no acute intoxication or serious self-injuries) were investigated routinely between 01.03.2017 and 31.01.2018. Urine (N = 205) and blood samples (N = 193) were taken at the beginning of closed inpatient admission, i.e., the results of the laboratory analysis reflect outpatient drug intake. The serum levels of psychopharmacological medication and OTC medication were measured. Our sample consists of 231 cases (boys: N = 54; girls: N = 177, ratio: 1:3.3), aged 12-17 years (average age: 15,4 years). The most prevalent psychiatric diagnoses were depressive episodes (54%) and adjustment disorders (25%), and girls were more often diagnosed with depressive disorders than boys (boy/girl ratio: 1:9.5, p < 0.0001). More than half of adolescents (56%) used at least one prescribed psychotropic drug at admission (24.8% ≥ two psychotropic drugs). Off-label use of second-generation antipsychotics was significantly more frequent than off-label use of antidepressants (85% vs. 31%, p < 0.01). Adolescents suffering from depressive disorders were significantly more often on-label treated than adolescents with neurotic or stress-related disorders (56% vs. 10%). Female cases with prescribed psychotropic drug use showed significantly more frequent supratherapeutic drug levels than male cases (5% vs. 27%, p < 0.05). Female adolescents may have an increased risk of supratherapeutic blood levels, especially when outpatient prescribed psychotropic drugs are off-label used. Measurement of blood levels of outpatient-prescribed psychotropic drugs could be used to enhance the safety and efficacy of the individual psychopharmacological treatment of adolescent suicidal patients. There is an urgent need for more real-world evidence on the effective treatment of adolescents with psychotropic drugs.

Characterization of Psychiatric Inpatients: The Role of Gender Differences in Clinical and Pharmacological Patterns.

Severe mental disorders that require hospitalization are disabling conditions that contribute to the burden of mental diseases. They pose increased clinical challenges and highlight the need to thoroughly explore variables emerging from daily clinical practice. In this study, we assessed to what extent gender differences may characterize a large population of psychiatric inpatients. We conducted a cross-sectional study in 2 Italian teaching medical centers, which included 2358 patients who were consecutively admitted to the psychiatric emergency units. We explored and characterized gender differences for variables such as prevalence of psychiatric diagnosis, presence of suicidal ideation, suicide attempts, age at onset of psychiatric illness, presence of substance or alcohol abuse, length of stay, number of hospitalizations, presence of involuntary admission, type of discharge from the hospital, and pharmacological treatment at discharge. Female patients were primarily diagnosed with bipolar disorder or personality disorders. Female patients had a significantly higher prevalence of lifetime suicide attempts (23.1% vs. 16.5%, P<0.001) and a longer length of hospitalization (11.43±10.73d vs. 10.52±10.37d, t=-2.099, gl=2356, P=0.036) compared with male patients. Male patients had more involuntary admissions (25.1% vs. 19.7%, χ2=9.616, gl=1, P=0.002), more use of illicit substances (34.1% vs. 20.9%, χ2=51.084, gl=1, P<0.001), and higher rates of alcohol abuse (21.3% vs. 14.7%, χ2=17.182, gl=1, P<0.001) compared with female patients. Finally, antidepressants and lithium were prescribed more frequently to the female patients, whereas other mood stabilizers were more often prescribed to the male patients. Our real-world results highlighted gender differences among patients with severe mental disorders admitted to psychiatric units, and suggest further investigations that may help in understanding trajectories accompanying disabling clinical conditions.

Psychometric properties of the Persian version of Conners Early Childhood ADHD Questionnaire-Parents’ Form in Iranian children aged 3-6 years

Background. Attention deficient-hyperactivity disorder (ADHD) is the most prevalent psychiatric diagnosis in preschool children. The present study aimed to translate and determine the validity and reliability of the Persian version of Conners Early Childhood Attention Deficit-Hyperactivity Disorder Questionnaire–Parents’ Form in Iranian children aged 3-6 years. Methods. We included 1,013 pediatrics aged &lt;6 years in 2017-18 in Tabriz, Iran. In the first step, the questionnaire was translated into Persian using the re-translation method. Then, the content validity of the questionnaire was evaluated by ten specialists. Finally, the concurrent validity of the questionnaire was simultaneously compared with the children’s Strengths and Difficulties Questionnaire (SDQ). ROC curve was used to determine the best cut-off point, and sensitivity and specificity were measured to determine the questionnaire’s diagnostic value compared to the clinical psychiatric interview. The test-retest method was used to determine reproducibility using the intra-class correlation coefficient (ICC). The internal consistency was also evaluated with Cronbach’s alpha test. Results. Of all the 1,013 participants, 569 (56.2%) were female. The overall modified kappa agreement and concurrent validity coefficients were 0.76 and 0.70, respectively. The sensitivity and specificity of the questionnaire was estimated 86.8% and 79.4%, respectively. The ICC was calculated at 0.90, and the questionnaire’s internal consistency was calculated at an overall Cronbach’s alpha coefficient of 0.88. Conclusion. The Persian version of Conners Early Childhood Attention Deficit-Hyperactivity Disorder Questionnaire–Parents’ Form exhibited proper reliability and validity for screening the Iranian pediatric population. Practical Implications. The emerged validated tool from the present study can be used in the first-line health system in the public and private sectors for physician and non-physician healthcare providers, especially family physicians in primary health care.

The Morbidity and Associated Factors of Depression in Caregivers of Patients with Depressive Disorder.

Depressive disorder significantly impacts patients' daily living activities and quality of life. Caregivers of patients with depression may also suffer from psychological distress related to the chronic burden of caring for the patient's mood changes. The purpose of this study was to evaluate the morbidity and associated factors of depression in caregivers of patients with depressive disorder. In this study, we used a cross-sectional design with consecutive sampling. Study subjects were recruited from the psychiatric outpatient clinic of a medical center from August 2021 to June 2022. Caregivers of depressive disorder patients were enrolled and assessed using the Mini International Neuropsychiatric Interview, Hospital Anxiety and Depression Scale (HADS), Suicide Assessment Scale (SAS), Stigma Scale of the Explanatory Model Interview Catalogue (EMIC), and Family APGAR Index. Of the 120 caregivers that completed the study, 59.2% (n=71) were females. The most common psychiatric diagnosis was depressive disorders (25.8%), followed by anxiety disorders (17.5%) and insomnia disorder (15.8%); 54.2% of the caregivers had a psychiatric diagnosis. Using logistic regression analysis, we found that anxiolytics/hypnotics use (OR=5.58; 95% CI, 1.84-16.96; p<0.01), higher suicide risk (SAS) (OR=1.10; 95% CI, 1.05-1.16; p<0.001), and lower family support (APGAR scores) (OR=0.82; 95% CI, 0.71-0.94; p<0.01) were three significant associated factors. Depression was the most prevalent psychiatric diagnosis in caregivers of patients with depressive disorder. Early psychiatric diagnosis for caregivers of patients with depression is crucial to offering suitable support and treatment and may improve caregivers' quality of life.

Mental health in autistic adults: A rapid review of prevalence of psychiatric disorders and umbrella review of the effectiveness of interventions within a neurodiversity informed perspective.

Autistic adults have high risk of mental ill-health and some available interventions have been associated with increased psychiatric diagnoses. Understanding prevalence of psychiatric diagnoses is important to inform the development of individualised treatment and support for autistic adults which have been identified as a research priority by the autistic community. Interventions require to be evaluated both in terms of effectiveness and regarding their acceptability to the autistic community. This rapid review identified the prevalence of psychiatric disorders in autistic adults, then systematic reviews of interventions aimed at supporting autistic adults were examined. A rapid review of prevalence studies was completed concurrently with an umbrella review of interventions. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were followed, including protocol registration (PROSPERO#CRD42021283570). MEDLINE, CINAHL, PsycINFO, and Cochrane Database of Systematic Reviews. English language; published 2011-2022; primary studies describing prevalence of psychiatric conditions in autistic adults; or systematic reviews evaluating interventions for autistic adults. Bias was assessed using the Prevalence Critical Appraisal Instrument and AMSTAR2. Prevalence was grouped according to psychiatric diagnosis. Interventions were grouped into pharmacological, employment, psychological or mixed therapies. Strength of evidence for interventions was assessed using GRADE (Grading of Recommendations, Assessment, Development and Evaluation). Autistic researchers within the team supported interpretation. Twenty prevalence studies were identified. Many included small sample sizes or failed to compare their sample group with the general population reducing validity. Prevalence of psychiatric diagnoses was variable with prevalence of any psychiatric diagnosis ranging from 15.4% to 79%. Heterogeneity was associated with age, diagnosis method, sampling methods, and country. Thirty-two systematic reviews of interventions were identified. Four reviews were high quality, four were moderate, five were low and nineteen critically low, indicating bias. Following synthesis, no intervention was rated as 'evidence based.' Acceptability of interventions to autistic adults and priorities of autistic adults were often not considered. There is some understanding of the scope of mental ill-health in autism, but interventions are not tailored to the needs of autistic adults, not evidence based, and may focus on promoting neurotypical behaviours rather than the priorities of autistic people.

When ADHD knocks on the door – discourse theory as a frame to explore subject positions and mental wellbeing before diagnosis

ABSTRACT Purpose Attention deficit hyperactivity disorder (ADHD) is currently the most prevalent childhood psychiatric diagnosis. This article reports how 10 young adults in Norway positioned themselves before they were diagnosed with ADHD either during early childhood or adolescence. A central theme is how these subject-positions relate to societal norms and mental well-being. Method Individual interviews were conducted, and the transcriptions of the interviews were analysed according to discourse theory. Result Six central subject positions were identified which in turn related to two major positions: 1) failure with schoolwork and 2) struggle in social interaction. The findings indicated specific emotional and environmental needs and that individuals were confronted with societal norms related to the criteria for ADHD prior to and regardless of whether one had received a formal diagnosis. Conclusion We argue that analysing subject positions provides important knowledge regarding ADHD that is useful for individuals, parents, teachers, practitioners, policymakers, and helping professionals in the field of mental health and education when it comes to interventions that support children who possess different temperaments.

Prevalence of common mental health problems and associated factors among university students visiting Supara mental health service: A cross-sectional study

Background: Early studies found that the mental health problems rate was relatively high in university students. We aimed to investigate the prevalence of mental problems and associated factors in university students. Methods: We conducted a cross-sectional descriptive study at Supara mental health service in the Faculty of Medicine Vajira Hospital between February 2020 to June 2021. The primary outcome was the prevalence of psychiatric diagnosis according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The secondary assessments included the Patient Health Questionnaire-9 (PHQ-9), 8 items from the Mini International Neuropsychiatric Interview (MINI) to assess suicidal risk (8Q), and the Thai Mental Health Indicator (TMHI-15). The prevalence of mental health problems was presented by frequency and percentage. In addition, multivariable regression analysis was used to identify potential predictors of mental health problems. Results: A total of 184 participants (62% female; mean age = 22.49 years (SD 3.93) were recruited. The depressive disorders, adjustment disorders, and anxiety disorders rates were 57.1%, 15.2% and 13.6%, respectively. Grade point averages (GPAs) below 3.0 (OR=3.09, 95%CI: 1.17-8.14) and a family history of mental disorder (OR=3.40, 95%CI: 1.10-10.48) were significant associated factors of moderate to severe mental health problems. Detecting and screening these factors may help the university to provide early detection and treatment for students. Conclusions: Depressive disorders were the most common mental health disorders. Females, low GPAs and a family history of mental disorder were predictors of moderate to severe mental health problems.

Prevalence of common mental health problems and associated factors among university students visiting Supara mental health service: A cross-sectional study.

Background: Early studies found that the mental health problems rate was relatively high in university students. We aimed to investigate the prevalence of mental problems and associated factors in university students. Methods: We conducted a cross-sectional descriptive study at Supara mental health service in the Faculty of Medicine Vajira Hospital between February 2020 to June 2021. The primary outcome was the prevalence of psychiatric diagnosis according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The secondary assessments included the Patient Health Questionnaire-9 (PHQ-9), 8 items from the Mini International Neuropsychiatric Interview (MINI) to assess suicidal risk (8Q), and the Thai Mental Health Indicator (TMHI-15). The prevalence of mental health problems was presented by frequency and percentage. In addition, multivariable regression analysis was used to identify potential predictors of mental health problems. Results: A total of 184 participants (62% female; mean age = 22.49 years (SD 3.93) were recruited. The depressive disorders, adjustment disorders, and anxiety disorders rates were 57.1%, 15.2% and 13.6%, respectively. Grade point averages (GPAs) below 3.0 (OR=3.09, 95%CI: 1.17-8.14) and a family history of mental disorder (OR=3.40, 95%CI: 1.10-10.48) were significant associated factors of moderate to severe mental health problems. Detecting and screening these factors may help the university to provide early detection and treatment for students. Conclusions: Depressive disorders were the most common mental health disorders. Females, low GPAs and a family history of mental disorder were predictors of moderate to severe mental health problems.

Prevalence of Psychiatric Diagnosis and Related Psychosocial Characteristics Among Hikikomori (Social Withdrawal Syndrome) in Korea

Prevalence of Psychiatric Diagnosis and Related Psychosocial Characteristics Among Hikikomori (Social Withdrawal Syndrome) in Korea

Telepsychiatry Use Before and During the COVID-19 Pandemic Among Children Enrolled in Medicaid.

This study examined telepsychiatry use among children enrolled in Medicaid before and during the COVID-19 pandemic. A retrospective analysis was conducted of claims data from the Transformed Medicaid Statistical Information System for children (ages 3-17) with any mental health service use in 2019 (N=5,606,555) and 2020 (N=5,094,446). The number of children using mental health services declined by 9.1% from 2019 to 2020. Mental health services in all care settings (inpatient, outpatient, residential, emergency department, intensive outpatient/partial hospitalization) declined except for telehealth, which increased by 829.6%. In 2020, 44.5% of children using telehealth were non-Hispanic White, 16.1% were non-Hispanic Black, and 19.7% were Hispanic. Attention-deficit hyperactivity disorder, trauma, anxiety, depression, and behavior/conduct disorder were the most prevalent psychiatric diagnoses among children using telehealth services. Although telehealth use increased substantially in 2020, overall mental health service use declined among Medicaid-enrolled children. Telehealth may not fully address unmet mental health service needs.

Prevalence of common mental health problems and associated factors among university students visiting Supara mental health service: A cross-sectional study.

Background: Early studies found that the mental health problems rate was relatively high in university students. We aimed to investigate the prevalence of mental problems and associated factors in university students. Methods: We conducted a cross-sectional descriptive study at Supara mental health service in the Faculty of Medicine Vajira Hospital between February 2020 to June 2021. The primary outcome was the prevalence of psychiatric diagnosis according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The secondary assessments included the Patient Health Questionnaire-9 (PHQ-9), 8 items from the Mini International Neuropsychiatric Interview (MINI) to assess suicidal risk (8Q), and the Thai Mental Health Indicator (TMHI-15). The prevalence of mental health problems was presented by frequency and percentage. In addition, multivariable regression analysis was used to identify potential predictors of mental health problems. Results: A total of 184 participants (62% female; mean age = 22.49 years (SD 3.93) were recruited. The depressive disorders, adjustment disorders, and anxiety disorders rates were 57.1%, 15.2% and 13.6%, respectively. Grade point averages (GPAs) below 3.0 (OR=3.09, 95%CI: 1.17-8.14) and a family history of mental disorder (OR=3.40, 95%CI: 1.10-10.48) were significant associated factors of moderate to severe mental health problems. Detecting and screening these factors may help the university to provide early detection and treatment for students. Conclusions: Depressive disorders were the most common mental health disorders. Females, low GPAs and a family history of mental disorder were predictors of moderate to severe mental health problems.

Association of Pre-existing Mental Health Conditions with Acute Mountain Sickness at Everest Base Camp.

Hüfner, Katharina, Fabio Caramazza, Evelyn R. Pircher Nöckler, Agnieszka E. Stawinoga, Paolo Fusar-Poli, Sanjeeb S. Bhandari, Buddha Basnyat, Monika Brodmann Maeder, Giacomo Strapazzon, Iztok Tomazin, Ken Zafren, Hermann Brugger, and Barbara Sperner-Unterweger. Association of pre-existing mental health conditions with acute mountain sickness at Everest Base Camp. High Alt Med Biol. 23:338-344, 2022. Background: Mental health disorders are common, but limited data are available regarding the number of people with a past medical history of psychiatric diagnoses going to high altitude (HA). It is also unknown whether mental health conditions are associated with an increased risk of acute mountain sickness (AMS). Methods: We analyzed data from a previous study at Everest Base Camp. Participants self-reported their past medical history and history of substance use and had a brief history taken by a physician. AMS was assessed using the self-reported 2018 Lake Louise AMS Score. Results: Eighty-five participants (66 men and 19 women, age 38 ± 9 years) were included. When questioned by a physician, 28 participants reported prior diagnoses or symptoms compatible with depression (23%), anxiety disorder (6%), post-traumatic stress disorder (1%), and psychosis/psychotic experiences (9%). The prevalence of psychiatric diagnoses in the past medical history was much lower in the self-reported data (2/85) compared to data obtained via physician assessment (28/85). Increased risks of AMS were associated with a past medical history of anxiety disorder (odds ratio [OR] 22.7; confidence interval [95% CI] 2.3-220.6; p < 0.001), depression (OR 3.6; 95% CI 1.2-11.2; p = 0.022), and recreational drug use ever (OR 7.3; 95% CI 1.5-35.5; p = 0.006). Conclusions: Many people who travel to HA have a past medical history of mental health conditions. These individuals have an increased risk of scoring positive for AMS on the Lake Louise Score compared with people without a history of mental health conditions.

Physical and psychiatric comorbidities among patients with severe mental illness as seen in Uganda.

While psychiatric and physical comorbidities in severe mental illness (SMI) have been associated with increased mortality and poor clinical outcomes, problem has received little attention in low- and middle-income countries (LMICs). This study established the prevalence of psychiatric (schizophrenia, bipolar affective disorder, and recurrent major depressive disorder) and physical (HIV/AIDS, syphilis, hypertension and obesity) comorbidities and associated factors among 1201 out-patients with SMI (schizophrenia, depression and bipolar affective disorder) attending care at two hospitals in Uganda. Participants completed an assessment battery including structured, standardised and locally translated instruments. SMIs were established using the MINI International Neuropsychiatric Interview version 7.2. We used logistic regression to determine the association between physical and psychiatric comorbidities and potential risk factors. Bipolar affective disorder was the most prevalent (66.4%) psychiatric diagnoses followed by schizophrenia (26.6%) and recurrent major depressive disorder (7.0%). Prevalence of psychiatric comorbidity was 9.1%, while physical disorder comorbidity was 42.6%. Specific comorbid physical disorders were hypertension (27.1%), obesity (13.8%), HIV/AIDS (8.2%) and syphilis (4.8%). Potentially modifiable factors independently significantly associated with psychiatric and physical comorbidities were: use of alcohol for both syphilis and hypertension comorbidities; and use of a mood stabilisers and khat in comorbidity with obesity. Only psychiatric comorbidity was positively associated with the negative outcomes of suicidality and risky sexual behaviour. The healthcare models for psychiatric care in LMICs such as Uganda should be optimised to address the high burden of psychiatric and physical comorbidities.

A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample

Psychiatric disorders are among the most common and debilitating illnesses across the lifespan and begin usually during childhood and adolescence, which emphasizes the importance of studying the developing brain. Most of the previous pediatric neuroimaging studies employed traditional univariate statistics on relatively small samples. Multivariate machine learning approaches have a great potential to overcome the limitations of these approaches. On the other hand, the vast majority of existing multivariate machine learning studies have focused on differentiating between children with an isolated psychiatric disorder and typically developing children. However, this line of research does not reflect the real-life situation as the majority of children with a clinical diagnosis have multiple psychiatric disorders (multimorbidity), and consequently, a clinician has the task to choose between different diagnoses and/or the combination of multiple diagnoses. Thus, the goal of the present benchmark is to predict psychiatric multimorbidity in children and adolescents. For this purpose, we implemented two kinds of machine learning benchmark challenges: The first challenge targets the prediction of the seven most prevalent DSM-V psychiatric diagnoses for the available data set, of which each individual can exhibit multiple ones concurrently (i.e. multi-task multi-label classification). Based on behavioral and cognitive measures, a second challenge focuses on predicting psychiatric symptom severity on a dimensional level (i.e. multiple regression task). For the present benchmark challenges, we will leverage existing and future data from the biobank of the Healthy Brain Network (HBN) initiative, which offers a unique large-sample dataset (N = 2042) that provides a wide array of different psychiatric developmental disorders and true hidden data sets. Due to limited real-world practicability and economic viability of MRI measurements, the present challenge will permit only resting state EEG data and demographic information to derive predictive models. We believe that a community driven effort to derive predictive markers from these data using advanced machine learning algorithms can help to improve the diagnosis of psychiatric developmental disorders.