Diagnosis Of Conduct Disorder Research Articles

Differences in the Rates of Diagnoses of Mental and Behavioral Disorders Due to Psychoactive Substance Use by Sex and Age during Pre-Pandemic and COVID-19 Pandemic Periods in Kazakhstan.

The COVID-19 pandemic had profound impacts worldwide on individuals with mental and behavioral disorders, including disorders due to psychoactive substance use. We investigated how the COVID-19 pandemic affected the trends in these disorders in the Republic of Kazakhstan. We researched and compared ICD-10 data on mental and behavioral disorders due to substance use in Kazakhstan that were diagnosed in 2018-2019 (pre-pandemic) versus 2020-2021 (the pandemic period). The data for the pandemic period were significantly different from those of the pre-pandemic in that (i) 'other stimulant-related disorders (F15)' and 'other psychoactive substance-related disorders (F19)' were increased in the younger age groups, (ii) the risk of 'opioid-related disorders (F11)' was decreased in the 30-year-old group in both males and females, and (iii) the risk of 'alcohol-related disorders (F10)' was increased in the 30-year-old group and decreased in the 20- and 50-year-old groups. In only the males, (iv) the risk of 'other psychoactive substance-related disorders (F19)' was increased in almost all of the age groups, and (v) the risk of 'cannabis-related disorders (F12)' was increased in the ≥50-year-olds. The pre-pandemic and pandemic periods thus involved changes due to COVID-19 in both males and females that were especially notable in males. These results indicate that further measures designed to prevent mental and behavioral disorders due to psychoactive substances are necessary at the primary, secondary, and tertiary levels, and personnel in medicine/nursing, the government, private organizations, and the public need to collaborate to devise such measures.

T2 MRI visible Perivascular Spaces in Parkinson`s Disease: clinical significance and association with polysomnography measured sleep.

Poor sleep quality might contribute to the risk and progression of neurodegenerative disorders via deficient cerebral waste clearance functions during sleep. In this retrospective cross-sectional study, we explore the link between enlarged perivascular spaces (PVS), a putative marker of sleep-dependent glymphatic clearance, with sleep quality and motor symptoms in Parkinson`s disease (PD) patients. T2-weighted MRI images of 20 patients and 17 healthy control subjects were estimated visually for PVS in the basal ganglia (BG) and centrum semiovale (CSO). The patient group additionally underwent a single-night polysomnography. Readouts included polsyomnographic sleep features and slow-wave activity (SWA), a quantitative EEG marker of sleep depth. Associations between PVS counts, PD symptoms (MDS-UPDRS scores) and sleep parameters were evaluated using correlation and regression analyses. Intra- and inter-rater reproducibility was assessed with weighted Cohen`s kappa coefficient. BG and CSO PVS counts in both patients and controls did not differ significantly between groups. In patients, PVS in both brain regions were negatively associated with SWA (1-2Hz) (BG: r(15)=-0.58, padj=0.015 and CSO: r(15)=-0.6, padj=0.015). Basal ganglia PVS counts were positively associated with motor symptoms of daily living (IRR=1.05, CI [1.01, 1.09], p=0.007, padj=0.026) and antidepressant use (IRR=1.37, CI [1.05, 1.80], p=0.021, padj=0.043) after controlling for age. Centrum Semiovale PVS counts in patients were positively associated with a diagnosis of REM sleep behaviour disorder (IRR=1.39, CI [1.06 , 1.84]), p=0.018, padj=0.11). These results add evidence that sleep deterioration may play a role in impairing glymphatic clearance via altered perivascular function, potentially contributing to disease severity in PD patients.

Особенности личностно-смысловой сферы студентов с разным индексом склонности к когнитивным ошибкам

Introduction. Cognitive errors (distortions) are of a semantic nature; they are based on distortions in the semantic sphere of personality, first of all, at its deep levels related to beliefs, semantic attitudes, life orientations, and metacognitive characteristics. However, there is currently a shortage of studies that would set a goal to prove this statement. The purpose of the work: to identify the peculiarities of the personal and semantic sphere of students with different indexes of propensity to cognitive errors. The materials and methods. The study was conducted using the Google Forms platform for creating and administering surveys and online forms. The sample size was 485 respondents, including 433 men and 52 women aged 17-25 years. The Cognitive Mistakes Questionnaire (CMQ − CMQ) (A. Freeman, R. Devulf, adapted by A.E. Bobrov and E.V. Faizrakhmanova) was used to study the propensity of personality to cognitive errors. The following methods were used to study the personal and semantic sphere of the respondents: the method of diagnostics of socio-psychological adaptation (SPA) (C. Rogers, R. Diamond, adapted by A.K. Osnitsky), “Big Five” (BFI) (R. McCrae, P. Costa, adapted by A.B. Khromov), Irrational Attitudes Diagnostic Methodology (A. Ellis), Basic Beliefs Scale (WASWorld assumptions scale) (R. Janov-Bulman, adapted by O. Kravtsova), Biographical Questionnaire for the Diagnosis of Behavioural Disorders (BIVBiographisches Inventar zur Diagnose von Verhaltensstoerungen) (Bottscher, Jager, Lischer), Life Orientations Questionnaire (LOQ) (E. Yu. Kravtsova), The Questionnaire to determine the content of the system of life meanings (V.Y. Kotlyakov), the method of diagnostics of coping mechanisms (E. Heim). Kruskal-Wallis H-criterion was used as a method of statistical data processing. The results of the research. It was revealed that there are statistically significant differences in the following indicators of the personal and semantic sphere of students with different indexes of propensity to cognitive errors: in adaptability in interpersonal relations; in the indicators of extraversion, emotional instability and expressiveness; in the expression of irrational attitudes and such basic beliefs as the benevolence of the world, the kindness of people, the value of one's own self, the degree of luck, the conviction in one's own value; in the indicators of family deficit syndrome; in such life orientation as transsituational mobility; in communicative life meanings and dominant coping mechanisms. The conclusion. The study revealed differences in the indicators of the personal and semantic sphere in students with different indexes of propensity to cognitive errors.

Patterns of Child and Adolescent Psychiatric Admissions Before and After the Onset of the COVID-19 Pandemic: Take Home Messages from a Clinical Population.

: This study from Istanbul aimed to compare the child and adolescent psychiatric admissions and diagnosis rates between the first 3 months of the pandemic, the previous 3 months in the same year, and the same months in the previous year. : Children and adolescents were grouped according to the admission dates. Group A, between March 11 and June 1, 2020; Group B, between January 1 and March 11, 2020; and Group C, between March 11 and June 1, 2019. Only clinical interviews and diagnoses according to Kiddie Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version (K-SADS-PL) interview were included. : Autism spectrum disorder (ASD), obsessive-compulsive disorder (OCD)/tic disorder, and intellectual disability (ID) diagnoses were higher in group A than in groups B and C (for ASD, 6.4%, 4.3%, and 3.6%; for OCD/tic disorder, 2.9%, 1.8%, 1.7%; for ID, 3.7%, 2.5%, and 2.1%, respectively) (P < .001). Attention-deficit hyperactivity disorder (ADHD) diagnosis was higher in group A than in only group B (59.8% and 49.7%, respectively) (P < 0.001). Depression was higher in group A than in only group C (4.1% and 2.2%, respectively) (P < .001). Conduct disorder (CD) diagnosis was lower in group A than in only group B (3.6% and 6.4%, respectively) (P < .05). : Child psychiatry diagnosis rates were found to change significantly during the initial phase of the pandemic period. Among the referrals, ASD, OCD, Tic disorder, ID, ADHD, and depression admissions were significantly higher. The rate of pediatric neurodevelopmental disorders, particularly ASD, increased during the initial phase of the COVID-19 pandemic.

Functional and free-water imaging in rapid eye movement behaviour disorder and Parkinson's disease.

It is established that one of the best predictors of a future diagnosis of Parkinson's disease is a current diagnosis of rapid eye movement behaviour disorder (RBD). In such patients, this provides a unique opportunity to study brain physiology and behavioural motor features of RBD that may precede early-stage Parkinson's disease. Based on prior work in early-stage Parkinson's disease, we aim to determine if the function of corticostriatal and cerebellar regions are impaired in RBD using task-based functional MRI and if structural changes can be detected within the caudate, putamen and substantia nigra in RBD using free-water imaging. To assess motor function, we measured performance on the Purdue Pegboard Test, which is affected in patients with RBD and Parkinson's disease. A cohort of 24 RBD, 39 early-stage Parkinson's disease and 25 controls were investigated. All participants were imaged at 3 Telsa. Individuals performed a unimanual grip force task during functional imaging. Participants also completed scales to assess cognition, sleep and motor symptoms. We found decreased functional activity in both RBD and Parkinson's disease within the motor cortex, caudate, putamen and thalamus compared with controls. There was elevated free-water-corrected fractional anisotropy in the putamen in RBD and Parkinson's disease and elevated free-water in the putamen and posterior substantia nigra in Parkinson's disease compared with controls. Participants with RBD and Parkinson's disease performed significantly worse on all tasks of the Purdue Pegboard Test compared with controls. The both hands task of the Purdue Pegboard Test was most sensitive in distinguishing between groups. A subgroup analysis of early-stage RBD (<2 years diagnosis) confirmed similar findings as those in the larger RBD group. These findings provide new evidence that the putamen is affected in early-stage RBD using both functional and free-water imaging. We also found evidence that the striatum, thalamus and motor cortex have reduced functional activity in early-stage RBD and Parkinson's disease. While the substantia nigra shows elevated free-water in Parkinson's disease, we did not observe this effect in early-stage RBD. These findings point to the corticostriatal and thalamocortical circuits being impaired in RBD patients.

Loss of rapid eye movement atonia in rapid eye movement sleep behaviour disorder and narcolepsy.

A reduction of physiological muscle atonia during rapid eye movement sleep is characteristic in patients with rapid eye movement sleep behaviour disorder, however, it can also be found in narcolepsy patients. We evaluated rapid eye movement sleep associated electromyographic activity to set cut-off values of rapid eye movement sleep without atonia, differentiating rapid eye movement sleep behaviour disorder and narcolepsy patients from controls to enable more precise future diagnostic criteria for these disorders. We retrospectively analysed polysomnography recordings of 16 rapid eye movement sleep behaviour disorder patients, 15 narcolepsy patients, and 19 controls. The combination of phasic and tonic electromyographic activity was recorded in the mentalis and tibialis anterior muscles and analysed in 3 second miniepochs. The cut-off value for a diagnosis of rapid eye movement sleep behaviour disorder was 17.07% (100% sensitivity, 94.7% specificity, area under the curve 0.997). For the diagnosis of narcolepsy, we yielded a cut-off value of 8.4% (86.4% sensitivity, 68.4% specificity, area under the curve 0.850). Rapid eye movement sleep without atonia significantly (p = 0.046) increased in the second night half in rapid eye movement sleep behaviour disorder patients, while it remained moderately increased in the narcolepsy group. Polysomnographic evaluation proves significantly higher rates of rapid eye movement sleep without atonia in rapid eye movement sleep behaviour disorder than in narcolepsy patients, allowing differentiation from controls with high sensitivity and specificity. An increase throughout the night is characteristic for rapid eye movement sleep behaviour disorder, whereas a consistent elevation is typical in narcolepsy patients.

Spatial and Socioeconomic Patterns of Mental Health and Healthcare Utilization in Cologne, Germany.

Children and adolescents are significantly tied to their family's socioeconomic position and living environment. Neighbourhood and the living environment have been identified as potential risk factors for mental disorders in this age group. The aim of the study was to investigate the distribution of mental and behavioural disorders (prevalence) and the provision of mental health services for children and adolescents aged 0-19 years in the city of Cologne. In particular, the study aimed to examine the association of these factors with area deprivation and the availability of mental health services covered by statutory health insurance. Finally, possible spatial variations in these aspects were analysed. Claims data of children and adolescents aged 0 to 19 years included in four statutory health insurance of the year 2021 were analysed. A deprivation index using data on the level of the ZIP code area was calculated. Analyses were carried out descriptively, using ordinary least squares (OLS) and geographically weighted regression (GWR). The prevalence of mental and behavioural disorders in children and adolescents varied across ZIP code areas, with higher rates in the northern, southern, and eastern parts of the city. The results indicated that the use of services by male children and adolescents with a prevalent diagnosis of mental and behavioural disorders was higher in areas with a higher density of healthcare providers. However, prevalence was on the whole lower in areas with a higher density of healthcare providers. In addition, the density of health care providers was higher in the city centre with comparatively lower deprivation. These results indicate inadequate access to care for children and young people outside the city centre. However, due to the heterogeneity of the population in these areas, this study provides only preliminary insights. Data with a finer geographic resolution are needed for further research in order to analyse the association further.

Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.

Problematic pornography use (PPU) is the most common manifestation of the newly introduced compulsive sexual behavior disorder diagnosis in the 11th revision of the International Classification of Diseases. Research related to PPU has proliferated in the past two decades, but most prior studies were characterized by several shortcomings (e.g., using homogenous, small samples), resulting in crucial knowledge gaps and a limited understanding concerning empirically based risk factors for PPU. This study aimed to identify the most robust risk factors for PPU using a preregistered study design. Independent laboratories' 74 preexisting self-report data sets (Nparticipants = 112,397; Ncountries = 16) were combined to identify which factors can best predict PPU using an artificial intelligence-based method (i.e., machine learning). We conducted random forest models on each data set to examine how different sociodemographic, psychological, and other characteristics predict PPU, and combined the results of all data sets using random-effects meta-analysis with meta-analytic moderators (e.g., community vs. treatment-seeking samples). Predictors explained 45.84% of the variance in PPU scores. Out of the 700+ potential predictors, 17 variables emerged as significant predictors across data sets, with the top five being (a) pornography use frequency, (b) emotional avoidance pornography use motivation, (c) stress reduction pornography use motivation, (d) moral incongruence toward pornography use, and (e) sexual shame. This study is the largest and most integrative data analytic effort in the field to date. Findings contribute to a better understanding of PPU's etiology and may provide deeper insights for developing more efficient, cost-effective, empirically based directions for future research as well as prevention and intervention programs targeting PPU. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Examining the association of familial and social stress, trauma, and support on mood, anxiety, and behavioral symptoms and diagnoses in youth at risk for bipolar disorder and controls

IntroductionYouth with a family history of bipolar disorder (At-Risk) have a higher risk of developing psychiatric disorders and experiencing environmental stressors than youth without such family history (Control). We studied the differential associations of familial and environmental factors on developing psychiatric diagnoses and symptoms, in At-Risk and Control youth. MethodsAt-Risk and Control youth (N = 466, ages 9–22) were systematically assessed for severity of symptoms, psychiatric diagnoses, and self-reported measures of stress and social support. We tested the association of family history and measures of stress or support with symptom severity and diagnoses. ResultsAt-Risk youth had higher symptom severity scores and were more frequently diagnosed with psychiatric disorders (all p values < 0.001). When predicting mood symptom severity, family history had an interaction effect with stressful life events (p < 0.001) and number of distinct traumatic events (p = 0.001). In multivariate models, At-Risk status predicted anxiety disorders (OR = 2.7, CI 1.3–5.4, p = 0.005) and anxiety severity (Coefficient = 0.4, CI 0.2–0.7, p < 0.001) but not mood or behavioral disorder diagnoses or severity. LimitationsMeasures of stress and social support were based on self-report. Not all participants had passed through the period of risk for developing the outcomes under study and the follow up period was variable. We could not fully study the differential impact of physical or sexual abuse due to low frequency of occurrence in controls. ConclusionAt-Risk youth exhibit more severe mood symptoms compared to Controls when exposed to similar levels of stress or trauma. At-Risk youth are also more prone to develop anxiety which may be a precursor for bipolar disorder.

Factors Associated with Confirmed and Unconfirmed Autism Spectrum Disorder Diagnosis in Children Volunteering for Research.

Diagnostic accuracy of autism spectrum disorder (ASD) is crucial to track and characterize ASD, as well as to guide appropriate interventions at the individual level. However, under-diagnosis, over-diagnosis, and misdiagnosis of ASD are still prevalent. We describe 232 children (MAge = 10.71 years; 19% female) with community-based diagnoses of ASD referred for research participation. Extensive assessment procedures were employed to confirm ASD diagnosis before study inclusion. The sample was subsequently divided into two groups with either confirmed ASD diagnoses (ASD+) or unconfirmed/inaccurate diagnoses (ASD-). Clinical characteristics differentiating the groups were further analyzed. 47% of children with community-based ASD diagnoses did not meet ASD criteria by expert consensus. ASD + and ASD- groups did not differ in age, gender, ethnicity, or racial make-up. The ASD + group was more likely to have a history of early language delays compared to the ASD- group; however, no group differences in current functional language use were reported by caregivers. The ASD + group scored significantly higher on ADI-R scores and on the ADOS-2 algorithm composite scores and calibrated severity scores (CSSs). The ASD- group attained higher estimated IQ scores and higher rates of psychiatric disorders, including anxiety disorder, disruptive behavior, and mood disorder diagnoses. Broadly, caregiver questionnaires (SRS-2, CCC-2) did not differentiate groups. Increased reported psychiatric disorders in the ASD- group suggests psychiatric complexity may contribute to community misdiagnosis and possible overdiagnosis of ASD. Clinician-mediated tools (ADI-R, ADOS-2) differentiated ASD + versus ASD- groups, whereas caregiver-reported questionnaires did not.

Diagnosis of Mental, Behavioral and Neurodevelopmental Disorders

Diagnosis of Mental, Behavioral and Neurodevelopmental Disorders

Problematic pornography use across countries, genders, and sexual orientations: Insights from the International Sex Survey and comparison of different assessment tools.

Problematic pornography use (PPU) is a common manifestation of the newly introduced Compulsive Sexual Behavior Disorder diagnosis in the 11th edition of the International Statistical Classification of Diseases and Related Health Problems. Although cultural, gender- and sexual orientation-related differences in sexual behaviors are well documented, there is a relative absence of data on PPU outside Western countries and among women as well as gender- and sexually-diverse individuals. We addressed these gaps by (a) validating the long and short versions of the Problematic Pornography Consumption Scale (PPCS and PPCS-6, respectively) and the Brief Pornography Screen (BPS) and (b) measuring PPU risk across diverse populations. Using data from the pre-registered International Sex Survey [n = 82 243; mean age (Mage) = 32.4years, standard deviation = 12.5], a study across 42 countries from five continents, we evaluated the psychometric properties (i.e. factor structure, measurement invariance, and reliability) of the PPCS, PPCS-6, and BPS and examined their associations with relevant correlates (e.g. treatment-seeking). We also compared PPU risk among diverse groups (e.g. three genders). The PPCS, PPCS-6, and BPS demonstrated excellent psychometric properties [for example, comparative fit index = 0.985, Tucker-Lewis Index = 0.981, root mean square error of approximation = 0.060 (90% confidence interval = 0.059-0.060)] in the confirmatory factor analysis, with all PPCS' inter-factor correlations positive and strong (rs = 0.72-0.96). A total of 3.2% of participants were at risk of experiencing PPU (PPU+) based on the PPCS, with significant country- and gender-based differences (e.g. men reported the highest levels of PPU). No sexual orientation-based differences were observed. Only 4-10% of individuals in the PPU+ group had ever sought treatment for PPU, while an additional 21-37% wanted to, but did not do so for specific reasons (e.g. unaffordability). This study validated three measures to assess the severity of problematic pornography use across languages, countries, genders, and sexual orientations in 26 languages: the Problematic Pornography Consumption Scale (PPCS, and PPCS-6, respectively), and the Brief Pornography Screen (BPS). The problematic pornography use risk is estimated to be 3.2-16.6% of the population of 42 countries, and varies among different groups (e.g. genders) and based on the measure used.

Who tests for lead and why? A 10-year analysis of blood lead screening, follow-up and CNS outcomes in a statewide US healthcare system

ObjectivesThis study aims to determine (1) which providers in US healthcare systems order lead tests, why and at what frequency and (2) whether current patient population lead levels are predictive...

Mild Traumatic Brain Injuries and Risk for Affective and Behavioral Disorders.

Recent studies document an association between mild traumatic brain injuries (mTBIs) in children and postinjury psychiatric disorders. However. these studies were subject to limitations in the design, lack of long-term follow-up, and poorly defined psychiatric outcomes. This study determines the incidence and relative risk of postinjury new affective and behavior disorders 4 years after mTBIs. A cohort study of mTBI cases and matched comparisons within an integrated health care system. The mTBI group included patients ≤17 years of age, diagnosed with mTBI from 2000 to 2014 (N = 18 917). Comparisons included 2 unexposed patients (N = 37 834) per each mTBI-exposed patient, randomly selected and matched for age, sex, race/ethnicity, and date of medical visit (reference date to mTBI injury). Outcomes included a diagnosis of affective or behavioral disorders in the 4 years after mTBI or the reference date. Adjusted risks for affective disorders were significantly higher across the first 3 years after injury for the mTBI group, especially during the second year, with a 34% increase in risk. Adjusted risks for behavioral disorders were significant at years 2 and 4, with up to a 37% increase in risk. The age group with the highest risk for postinjury affective and behavioral disorders was 10- to 13-year-old patients. Sustaining an mTBI significantly increased the risks of having a new affective or behavioral disorder up to 4 years after injury. Initial and ongoing screening for affective and behavior disorders following an mTBI can identify persistent conditions that may pose barriers to recovery.

Plasma level of alpha-synuclein oligomers as a biomarker for isolated rapid eye movement sleep behavior disorder diagnosis and progression: a prospective cohort study.

Alpha-synuclein oligomers (o-α-syn) are pivotal in the pathogenesis of α-synucleinopathy. Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) serves as an early indicator of the disease, offering insights into disease mechanisms and early intervention. Nevertheless, the diagnostic and predictive potential of o-α-syn in iRBD remains largely unexplored. This study aimed to evaluate the plasma levels of o-α-syn in patients and investigate their utility as biomarkers for diagnosis of and predicting phenoconversion in iRBD. A total of 143 participants, including 77 polysomnography-confirmed iRBD patients and 66 normal controls (NC), were recruited for this longitudinal observational study. Baseline clinical assessments and plasma collection were conducted for all iRBD patients, with 72 of them undergoing regularly prospective follow-up assessments for parkinsonism or dementia. Plasma levels of o-α-syn were quantified using enzyme-linked immunosorbent assay, and were compared between groups using a general linear model adjusted for age and sex. The diagnostic performance of plasma o-α-syn in iRBD was evaluated by area under the receiver operating characteristic curve (AUC) with 95% CI. Cox regression analysis and Kaplan-Meier survival curves were employed to assess the predictive value of plasma o-α-syn for phenoconversion in iRBD. Plasma o-α-syn levels did not exhibit statistically significant differences among iRBD converter patients, iRBD nonconverter patients, and NC. The AUC for distinguishing NC from iRBD was 0.52 (95% CI: 0.42-0.62, p = 0.682). Spearman correlation analysis revealed a significant positive correlation between plasma o-α-syn levels and MOCA scores in the iRBD group (p < 0.001). Subgroup analyses indicated that iRBD patients with cognitive decline (p = 0.058) and depressive symptoms (p = 0.017) had notably lower o-α-syn levels compared to those without such symptoms. Over a median follow-up period of 5.83 years, 26 iRBD patients developed neurodegenerative synucleinopathies. Cox regression and Kaplan-Meier survival curve analyses indicated that plasma level of o-α-syn lacked a predictive value for disease conversion in iRBD patients. Despite a potential role in the pathophysiology of iRBD, o-α-syn are not appropriate biomarkers for diagnosing or predicting disease progression. While this study offers insights into the pathogenesis of iRBD and neurodegenerative synucleinopathies, further large-scale longitudinal studies are warranted to validate these findings.

Morbidity Pattern in Psychiatry Ward in a Tertiary Care Hospital

Background: Worldwide mental health conditions are in increasing trend. South Asian countries report the highest prevalence of common mental disorders globally, which accounts for 8.8% to 16.6% of the total burden of disease. In Nepal, the prevalence of mental disorders among adults and children is 13.2% and 11.2%, respectively. In Nepal, there is limited data on the pattern of morbidity in inpatient psychiatric wards. Hence, the need is felt to carry out this study to monitor the psychiatric morbidity patterns of patients admitted to the psychiatric ward. Methods: This is a retrospective, cross- sectional study conducted in Kist Medical College. After ethical approval from Institutional Review committee, the data of all patients admitted to Psychiatry Ward of Kist Medical College Teaching Hospital from 14 th April, 2022 to 13 th April, 2023 were collected from Record section. We used ICD-10 and CDDG criteria for the diagnosis of mental and behavioral disorders. Data was analyzed using SPSS version 16. Results: Out of 285 patients 70.40% patients belonged to age group 25-54 years .The mean age with standard deviation was 55.4±72.3 years. Most of the patients were Male (72.60%) and Janajati (44.80%). The most common diagnosis was Alcohol Dependence Syndrome. The duration of hospital stay of most (46.90%) of the patient was 1-2 weeks. Conclusion: The most common diagnosis for which admission was made in Kist Medical College was Alcohol Dependence Syndrome. This indicate that the alcohol related disorder may have important implications for care and planning in the community. The overall outcome was satisfactory.

Predictors and Correlates of Positive Urine Drug Screening in a Retrospective Cohort Analysis of Child and Adolescent Psychiatry Inpatients Throughout the COVID-19 Pandemic.

Youth substance use is associated with significant psychological, neurological, and medical complications. Risk factors for substance use among children and adolescents in the general population include peer and/or parental substance use, certain psychiatric illnesses (eg, Attention-Deficit/Hyperactivity Disorder, depression), and history of maltreatment. Co-occurring substance use and psychiatric illness have been associated with increased suicidality, but few prior studies have characterized substance use among child/adolescent inpatients. As such, it remains unclear how substance use contributing to acute psychiatric presentations has changed since the start of the COVID-19 pandemic. This is a retrospective cohort study of 816 unique child/adolescent psychiatry inpatients with urine drug screening (UDS) results from a diverse urban setting. Charts of patients hospitalized between June 1, 2018 and November 30, 2021 were reviewed for sociodemographic characteristics, indication for admission, psychiatric history, hospital course, treatment plan, and discharge diagnosis. Differences in sociodemographic and clinical characteristics, such as age, race, and diagnoses, between patients with and without positive UDS were explored throughout various periods of the COVID-19 pandemic. Descriptive and comparative statistics were performed, as well as a logistic regression model to identify the predictors of positive UDS. Of the study sample, 18% had a positive UDS. Older age, diagnosis of impulsive or behavioral disorder, and a history of violence were found to be predictors of positive UDS. Asian/South Asian or Hispanic/LatinX race and history of a developmental or intellectual disability were found to be negative predictors. The frequency of positive UDS in this population did not change based on COVID-19. Multiple factors may predispose children and adolescents to substance use. Though no impact of COVID-19 was found in this sample, longer-term studies are needed. This study identifies independent predictors of active substance use in the child and adolescent psychiatric inpatient population.

DSM-5 conduct disorder and symptoms in youths at high risk of psychosis in Kenya with DSM-5 mental disorders and substance use: towards integrated management

Little is known about the prevalence of Conduct Disorder (CD) and symptoms of CD in high risk psychosis persons at both clinical and community populations in LMICs and in particular Kenya. This study aimed to document (1) the prevalence of CD diagnosis and symptoms in youth who screened positive for psychosis and (2) the associated mental disorders and substance use in the same cohort in LMIC. The sample size was 536 students who had screened positive on the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) from a population of 9,742 high school, college and university students, but had not converted to a psychotic disorder. We collected data on socio-demographic characteristics and used the following tools: Economic indicators tool; the Diagnostic Interview Schedule (DIS) tool for DSM-5 diagnosis; World Health Organization (WHO) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Basic descriptive statistics, chi-square test, Fisher's exact test, Pearson correlation and Poisson regression were conducted. Five percent (5%) of the respondents met the criteria for DSM-5 CD. Indeterminate CD comprised 10.1%. Male gender, all substances except hallucinogens lifetime, obsessive compulsive disorder, psychosis, agoraphobia, social phobia, drug abuse/dependence, antisocial personality disorder, oppositional defiant disorder, suicidality, WERCAP screen for bipolar disorder and WERCAP screen for schizophrenia were significantly (p < 0.05) associated with CD. Deceitfulness or theft criteria symptoms showed that CD had no significant gender difference. Criteria symptoms in aggression to people and animals, destruction of property and serious violations of rules were more common among males. Our findings suggest the need to screen for and diagnose CD, mental disorders and substance use in high risk psychosis youths in Kenya. This will inform integrated management.

Early and Frequent Psychiatric Readmissions in a Brazilian Cohort of Hospitalized Patients Between 2001 and 2013.

To characterize the profile of patients who were readmitted for mental and behavioral disorders, in the Brazilian Unified Health System, from 2001 to 2014, and the factors associated with early and frequent readmission. A retrospective, non-concurrent cohort study of patients admitted with a primary diagnosis of mental or behavioral disorders, from 2001 to 2014. This study selected demographic variables and clinical variables, as well as variables related to the characteristics of the hospitals. Poisson Regression methods with a robust variance estimator were used to estimate the incidence rate ratio (IRR) for each of the outcomes. Early readmission occurred for 6.8% of the patients and frequent readmission for 8.3%. Characteristics such as being male, younger, with a diagnosis of a bipolar disorder, and admitted to a specialized hospital show a higher IRR for early readmission. The occurrence of early readmission was the most heavily associated characteristic with an increased rate of early readmission, and the magnitude of this increase depends on the patient's age. Early and frequent readmissions are linked to patients' demographics, clinical information and health system's organization. Early readmission should be a priority in treatment planning to prevent frequent readmissions due to its strong association.

Automated anomalous child repetitive head movement identification through transformer networks.

The increasing prevalence of behavioral disorders in children is of growing concern within the medical community. Recognising the significance of early identification and intervention for atypical behaviors, there is a consensus on their pivotal role in improving outcomes. Due to inadequate facilities and a shortage of medical professionals with specialized expertise, traditional diagnostic methods have been unable to effectively address the rising incidence of behavioral disorders. Hence, there is a need to develop automated approaches for the diagnosis of behavioral disorders in children, to overcome the challenges with traditional methods. The purpose of this study is to develop an automated model capable of analyzing videos to differentiate between typical and atypical repetitive head movements in. To address problems resulting from the limited availability of child datasets, various learning methods are employed to mitigate these issues. In this work, we present a fusion of transformer networks, and Non-deterministic Finite Automata (NFA) techniques, which classify repetitive head movements of a child as typical or atypical based on an analysis of gender, age, and type of repetitive head movement, along with count, duration, and frequency of each repetitive head movement. Experimentation was carried out with different transfer learning methods to enhance the performance of the model. The experimental results on five datasets: NIR face dataset, Bosphorus 3D face dataset, ASD dataset, SSBD dataset, and the Head Movements in the Wild dataset, indicate that our proposed model has outperformed many state-of-the-art frameworks when distinguishing typical and atypical repetitive head movements in children.