• Title/Summary/Keyword: Paranoid

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Correlations between Neurologic and Psychiatric Symptoms in Acute Stroke Patients (급성기 뇌졸중 환자에서 신경 및 정신 증상간 상호관계)

  • Kang, Hee-Ju;Bae, Kyung-Yeol;Kim, Sung-Wan;Kim, Jae-Min;Shin, Il-Seon;Park, Man-Seok;Cho, Ki-Hyun;Yoon, Jin-Sang
    • Korean Journal of Psychosomatic Medicine
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    • v.20 no.2
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    • pp.98-104
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    • 2012
  • Objectives : This study aimed to investigate the correlations between neurological and psychiatric symptoms at two weeks after stroke. Methods : For 412 stroke patients, stroke severity was evaluated by the National Institutes of Health Stroke Scale(NIHSS), disability by the Barthel Index(BI) and modified Rankin Scale(mRS), cognitive function by the Korean Mini-Mental State Examination(K-MMSE), and muscle power by grip strength. Psychiatric symptoms were assessed by Symptom check list-90-Revision(SCL-90-R), consisted of nine symptom domains : Somatization, Obsessive-compulsive, Interpersonal sensitivity, Depression, Anxiety, Hostility, Phobic anxiety, Paranoid ideation, Psychoticism, and Additional items. The correlations between the neurological and psychiatric symptoms were investigated at the time of admission and before discharge(i.e. before and after treatment). Results : At the time of admission, NIHSS score was associated with scores on Phobic anxiety and Additional items ; and scores on BI and mRS were associated with Depression, Phobic anxiety and Additional items. At the time of discharge, NIHSS score was associated with scores on Somatization, Depression, Phobic anxiety, and Additional items ; scores on BI and mRS were associated with scores on Depression, Phobic anxiety and Additional items ; MMSE score was associated with Obsessive-compulsive, Depression, Phobic anxiety, and Additional items ; and grip strength was associated with Somatization, Depression, Anxiety and Additional items. Conclusions : More severe neurological symptoms were associated with higher psychiatric morbidity particularly in depression, phobic anxiety, sleep and appetite disturbance at acute stage of stroke. More intensive psychiatric care and intervention are needed for the high risk group.

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Victims of Bullying among Korean Adolescents: Prevalence and Association with Psychopathology Evaluated Using the Adolescent Mental Health and Problem Behavior Screening Questionnaire-II Standardization Study Data (청소년정서행동발달검사 표준화연구 자료를 활용한 학교폭력 피해 전국유병률 및 관련요인 조사)

  • Bhang, Soo-Young;Yoo, Han-Ik K.;Kim, Ji-Hoon;Kim, Bong-Seog;Lee, Young-Sik;Ahn, Dong-Hyun;Suh, Dong-Su;Cho, Soo-Churl;Hwang, Jun-Won;Bahn, Geon-Ho
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.23 no.1
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    • pp.23-30
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    • 2012
  • Objectives : This study was conducted to investigate the prevalence of victims of bullying and the demographic characteristics of victims, and their related psychopathology, in a Korean nationwide sample of youths in middle and high school over a one month period. Methods : During the autumn of 2009, students in the 7th to 12th grades at 23 secondary schools participated in a nationwide, cross-sectional study. The study subjects completed the Adolescent Mental Health and Problem Behavior Screening Questionnaire-II (AMPQ-II) and Symptom Checklist-90-Revision (SCL-90-R). Based on the data acquired, descriptive statistics, correlation coefficients and multiple logistic regression analysis were performed. Results : Among the 3364 participants, 2272 (67.54%) completed the questionnaire. The prevalence of victimization was 28.9%. Male gender was positively associated with victimization, and grade level was negatively related to victimization. The AMPQ-II bullying score (Factor 4) was significantly (p<.001) and positively correlated to the AMPQ-II student total score (r= 0.50), Worry and thought (Factor 1 ; r=0.38), Mood and suicide (Factor 2 ; r=0.31), Academic and Internet-related problems (Factor 3 ; r=0.24), Rule violations (Factor 5 ; r=0.23), and AMPQ-II teacher total score (r=0.11). Somatization (r=0.23), Obsessive-compulsive behavior (r=0.24), Interpersonal sensitivity (r=0.30), Depression (r=0.33), Anxiety (r=0.26), Hostility (r=0.30), Phobic anxiety (r=0.22), Paranoid ideation (r=0.36), and Psychoticism (r=0.31) results from the SCL-90-R were also found to be positively related to the AMPQ-II bullying score, and remained significant after adjusting for age and gender. A total of 26% of the victims reported suicidal ideations as compared to 9% of non-victims over the month prior to the evaluation ($x^2$=119.595, df=1, p<.001). The multiple logistic regression analysis indicated that the AMPQ-II bullying score significantly increased the risk of suicidal ideation [Exp(b)=1.55, df=1, p<.001] after adjusting for age and gender. Conclusion : School bullying was highly prevalent among Korean middle and high school students. This study provided strong evidence that suicidal ideation and psychopathology were serious problems among the victims of bullying.

From Trauma To growth: Posttraumatic Growth Clock (외상 후 병리에서 성장으로: 외상 후 성장 시계)

  • Lee, Hong-Seock
    • Korean Journal of Cognitive Science
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    • v.27 no.4
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    • pp.501-539
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    • 2016
  • The human mind is a self-evolving system that develops along a multidimensional hierarchical pathway in response to traumatic stimulus. In absence of trauma, a mind integrated in conflict-free state is called monistic. When the monistic mind responses to a traumatic stimulus, a response polarity forms toward stimulus polarity within the mind, turning it into a bipartite structure. Dialectical interaction between the two opposites, originating from their incompatibility, creates a new third polarity in the upper dimension. Thereby, the mind turns into a trinity structure. When the interaction among the three polarities becomes optimized, the plasticity of the mind gets maximized into the "far-from-equilibrium state," and the function of three polarities is synchronized. Through this recalibration, the mind returns back to its monistic structure. If the mind with the recurred monistic structure responds to another traumatic stimulus, this cycle of hierarchical transformation repeats itself in this cyclical and fractal growth process through synchronization of basic trinity system. Applying this concept to the process of post-traumatic growth (PTG), this paper explores how the mind transforms traumatic experiences into PTG and proposes a 'PTG Clock' that shows a fundamental sequence in the development of the human mind. The PTG Clock consists of seven hierarchical phases, and each of the first six phases has two opposite sub-phases: shocked/numbed, feared/intrusive, paranoid/avoidant, obsessional/explosive, dependent/depressive, and meaningless/searching for meaning. The seventh, the synchronization phase, completes one cycle of the mind's transformation, realizing a grand trinity system, where the mind synchronizes its biological, social, and existential dimensions. At that point, the mind becomes more susceptible to not only the stimulus of its own traumatic experience but also the pain of others. Thereby, the PTG Clock sets out on a journey to another cycle of transformation in higher dimensions. The validity of this transformational process for the PTG Clock will be examined by comparing it to Horowitz's theory of stress response syndrome.

Psychology and Quality of Life in Cancer Patients on Radiation Therapy (방사선치료 중인 암 환자의 심리와 삶의 질)

  • Yang Jong-Chul;Chung Woong-Ki
    • Radiation Oncology Journal
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    • v.22 no.4
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    • pp.271-279
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    • 2004
  • Purpose: The object of this study Is to investigate sociodemographic and clinical characteristics, psychology, self-esteem and quality of life in cancer patients on radiation therapy and to provide useful information for therapeutic approach to cancer patients on radiation therapy. Materials and Methods: The subjects were 36 patents who had been treated with radiation therapy and 20 normal people. Sociodemographic information and clinical characteristics of cancer patients on radiation therapy were investigated, and symptom checklist-90-revised, Rosenberg Self-esteem Scale for self esteem, World Health Organization Quality of Life Assessment Instrument for quality of life were administered to subjects. And Spearman's correlation analysis was used among these. Result : The tendency of somatization, depression, anxiety and hostility in cancer group were significantly higher than normal group. Self esteem and quality of life in cancer group were significantly lower than normal group. No significant difference was found in comparison of psychology, self esteem and qualify on life according to sociodemographic variables. Among clinical characteristics, in the presence of metastasis in cancer patients, the scores of anxiety, phobia and paranoid ideation were higher In patients with pain, the score of somatization was higher And in case of weight loss, the score of somatization was higher. The higher score of depression, anxiety and hostility were significantly associated with lower self-esteem. And higher score of somatization, depression, anxiety and hostility were significantly associated with lower quality of life. Conclusion: Understanding and management of psychological symptoms, such as somatization, depression, anxiety, and hostility, and pain control are necessary to improve quality of life in cancer patients on radiation therapy.

Comparison of Family Support and Mental Health Between the Rural and Urban Elderly (농촌과 도시지역 노인의 가족지지와 정신건강에 관한 비교)

  • Min, Kyung-Hwa;Kim, Sang-Soon
    • Journal of agricultural medicine and community health
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    • v.20 no.2
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    • pp.175-185
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    • 1995
  • This study is to compare family support and mental health between the rural and the urban elderly. In order to do that I collected the data through questioning 238 people in 3 urban areas in Busan and 201 people in 9 rural areas near Daegu. The degree of their family support is 36.70 on the average in the rural area and 40.77 in the urban area. The degree of family support of urban elderly is a little higher. According to general characters between the differences of family support in both areas, in the rural area there are differences in sex, age, whether they have a spouse or not, education level, financial state, number of children, number of co living, status of co living, subjective health status, amount of pocket money and how much they are participating in leisure activity. In the urban area there are differences in sex, whether they have a spouse or not, religion, financial state, number of co living, status of co living, subjective health status, amount of pocket money, how much they are participating in leisure activity and house pattern. In the stepwise multiple regression analysis the main variables that affect degree of family support in the rural area are age, whether they have a spouse or not and financial state which account for 33% of the total variance and in the urban area are subjective health status, financial state, whether they have a spouse or not and number of co-living which account for 35%. Health status is better in the urban area(average 36.87) than in the rural area(57.42). In each item the people whose mark was more than 75%(low) have Depression 8.4%, Somatization 8.0% in the urban area and Somatization 8.5%, Depression 8.5%, Anxiety 4.0%, Phobic anxiety 4.0%, Obsessive compulsive reaction 2.5%, Hostility 2.0%, Paranoid ideation 2.0%, Psychoticism 1.5% and Interpersonal sensitivity 1.5% in the rural area. In the mental health condition, on the basis of 4 points in both areas, the average is Somatization(rural : 1.69, urban : 1.51), Depression (rural : 1.64, urban : 1.37) and Obsessive compulsive reaction(rural : 1.33, urban : 0.99). According to the differences between mental health conditions by general characters, in the rural area the differences are presented in sex, age, whether they have a spouse or not, religion, education level, financial state, number of children, status of co living, subjective health status, amount of pocket money and how much they are participating in leisure activity, in the urban area the differences are presented in sex, whether they have a spouse or not, religion, financial state, number of co living, status of co living, subjective health status, house pattern, amount of pocket money and how much they are participating in leisure activity. In the stepwise multiple regression analysis the main variables that affect mental health condition in the rural are family support degree subjective health status, religion sex, age and financial state which account for 43% of the total and in the urban area are family support degree, subjective health status and financial state which account for 51%. In the matter of family support degree and mental health condition the rural area was -0.4555, of urban area was -0.6446. The rural area that has a high percentage in family support degree and mental health condition Depression was -0.5036, Psychoticism was -0.4265 in the urban area Psychoticism was -0.6452, Depression was -0.5955. Family support has a great influence on mental health of old people and family support and mental health condition can be different according to living area. So in their problems nursing intervention through family and nursing strategies according to living area should be established.

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