Other Neurotic Disorders

Author(s):  
Jerome J. Schulte ◽  
David Bienenfeld
Keyword(s):  
1997 ◽  
Vol 36 (04/05) ◽  
pp. 349-351
Author(s):  
H. Mizuta ◽  
K. Kawachi ◽  
H. Yoshida ◽  
K. Iida ◽  
Y. Okubo ◽  
...  

Abstract:This paper compares two classifiers: Pseudo Bayesian and Neural Network for assisting in making diagnoses of psychiatric patients based on a simple yes/no questionnaire which is provided at the outpatient’s first visit to the hospital. The classifiers categorize patients into three most commonly seen ICD classes, i.e. schizophrenic, emotional and neurotic disorders. One hundred completed questionnaires were utilized for constructing and evaluating the classifiers. Average correct decision rates were 73.3% for the Pseudo Bayesian Classifier and 77.3% for the Neural Network classifier. These rates were higher than the rate which an experienced psychiatrist achieved based on the same restricted data as the classifiers utilized. These classifiers may be effectively utilized for assisting psychiatrists in making their final diagnoses.


Author(s):  
Alexander Granitsa

The aim of the study was to form the model of correlation between intuitiveness and anticipatory consistency in case of neurotic and somatoform disorders. The study included 197 patients with neurotic and somatoform disorders and 66 healthy people. We found a lower level of intuitiveness and anticipatory consistency in patients with neurotic disorders than in healthy people. Correlation and cluster analyses have shown that anticipatory inconsistency and a reduced intuitiveness play a significant role in the mechanisms of neurosis development. Intuitiveness in neurotic and somatoform disorders is the link between anticipatory consistency and psychological defense mechanisms in the general system of coping with stress.


2021 ◽  
pp. 025371762199953
Author(s):  
Bhavneesh Saini ◽  
Pir Dutt Bansal ◽  
Mamta Bahetra ◽  
Arvind Sharma ◽  
Priyanka Bansal ◽  
...  

Background: Normal personality development, gone awry due to genetic or environmental factors, results in personality disorders (PD). These often coexist with other psychiatric disorders, affecting their outcome adversely. Considering the heterogeneity of data, more research is warranted. Methods: This was a cross-sectional study on personality traits in psychiatric patients of a tertiary hospital, over 1 year. Five hundred and twenty-five subjects, aged 18–45 years, with substance, psychotic, mood, or neurotic disorders were selected by convenience sampling. They were evaluated for illness-related variables using psychiatric pro forma; diagnostic confirmation and severity assessment were done using ICD-10 criteria and suitable scales. Personality assessment was done using the International Personality Disorder Examination after achieving remission. Results: Prevalence of PD traits and PDs was 56.3% and 4.2%, respectively. While mood disorders were the diagnostic group with the highest prevalence of PD traits, it was neurotic disorders for PDs. Patients with PD traits had a past psychiatric history and upper middle socioeconomic status (SES); patients with PDs were urban and unmarried. Both had a lower age of onset of psychiatric illness. Psychotic patients with PD traits had higher and lower PANSS positive and negative scores, respectively. The severity of personality pathology was highest for mixed cluster and among neurotic patients. Clusterwise prevalence was cluster C > B > mixed > A (47.1%, 25.2%, 16.7%, and 11.4%). Among subtypes, anankastic (18.1%) and mixed (16.7%) had the highest prevalence. Those in the cluster A group were the least educated and with lower SES than others. Conclusions: PD traits were present among 56.3% of the patients, and they had many significant sociodemographic and illness-related differences from those without PD traits. Cluster C had the highest prevalence. Among patients with psychotic disorders, those with PD traits had higher severity of psychotic symptoms.


Author(s):  
Viktoriia Ogorenko ◽  
Olha Hnenna ◽  
Viktor Kokashynskyi

The article considered the social, psychological and clinical aspects of domestic violence. Analyzed the main types of violent behavior (economic, psychological, physical, sexual) and the components of the causes of cruel behavior in the family: aggressive behavior, violence, violent behavior. The results of sociological research are presented, the prevalence, causes, aims and types of this phenomenon in Ukraine and in the world are determined. The sociological and cultural concepts of the features of the spread of the phenomenon of violence in families are considered. The stages of the formation of violent behavior in families are analyzed. The features of neurotic disorders and their prevalence among people who have experienced domestic violence are considered.


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