• Korean Journal of Psychosomatic Medicine
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• v.3 no.2
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• pp.139-146
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• 1995

Forty patients meeting DSM-III-H criteria for panic disorder and 51 normal controls were assessed with the Personality Diagnostic Questionnaire-Revised(PDQ-R), a self-rating scale designed to assess Axis II personality disorders and traits. Results replicated previous findings of a preponderance of dependent, avoidant, and histrionic features. But our result showed other features such as paranoid, schizotypal, borderline, and antisocial traits also. Patients were divided into two groups according to the severity of their personality traits(high or low). These groups were compared in various panic symptomatology and SCL-90-R. None of the specific symptom dimensions in panic disorder, i.e. panic, anxiety, agoraphobia, social impairment, or chronicity was different between groups. Rather, high personality trait groups were found to have significantly more symptomatology in SCR-90-R than low personality groups. Result indicated that patients exhibiting a greater number of personality traits were also significantly more symptomatic. The results suggested a possible link beteween panic disorder and personality disorder. And, general factors such as depression, social or interpersonal sensitivity might provide a much better explanation of personality disorders in panic patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.989-999
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• 2014

The purpose of this study was to identify the influencing health promoting behavior of perceived health status and self-efficacy according to major of college students to develop health promoting interventions of college students. The subjects of this study were 592 college students in C city in Korea. Health promoting behavior was significantly higher(p=.014) in health related major students than none health related major students. There were significantly difference in "an time to school(p=.007)", "sleeping hours(p=.004)", "drinking(p=0.028)", "exercise(p<.001)", "exercise frequency(p=.012)" between health related major and none health related major. perceived health status(r=0.381, p<.001) and self efficacy(r=0.620, p<.001) were significantly positive relation to health promoting behavior. The other sub factor in self efficacy were confidence(p<.001), effort(p=.008), will(p=.001) and sub factor in perceived health status were present health(p<.001), health anxiety(p=.002), resistibility and sensitivity(p=.002) in none health related major students($R^2$=0.432, F=38.620). We suggested that the results of this study be considered in developing health promoting programs through appropriate education and various activity of young adults.

• The Korean Journal of Vision Science
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• v.20 no.4
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• pp.483-495
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• 2018

Purpose : The purpose of this study is to analyze the factors affecting the mental health of students in the department of optometry by the gender and to provide differentiated help to student life and career guidance. Methods : Questionnaire for 132 students in the department of optometry in Chungcheong region was analyzed and mental health was compared and analyzed by the gender. In this study, a questionnaire by SCL-90-R was used, and all statistical information was statistically processed with a significance level of p<0.05 using SPSS 18.0 (SPSS 18.0 was used for processing statistical information with a significance level of p<0.05). Results : Students of the department of optometry presented mental health problems; somatization was 22.7%, psychasthenia was 28.3% and hostility was 12.8%. Depression and paranoia were 27.7% and 10.2% respectively, followed by interpersonal sensitivity, psychosis, phobia, and anxiety disorder with 14.7%, 10.4%, 5.9% and 17.4% respectively. Conclusion : About 28.7% of the students of the department of optometry students experienced somatization, psychasthenia or hostility due to negative mental health and female students ranked relatively higher in all variables than males. Therefore, it is judged that differentiated counseling and guidance in life will be needed for students based on their gender differences.

• 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.

• The Journal of Korean society of community based occupational therapy
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• v.7 no.2
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• pp.9-18
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• 2017

Objective : This study was to find out the level of sensory process type, adult attachment and interpersonal problems on university students and then to investigate the correlation. Methods : For this study, 169 students who don't know about the evaluation tool in university students of K area in Korea were participated. To execute evaluation, Adolescents/Adults Sensory Profile (AASP) was used for the sensory process type, Short Form of the Korean Inventory of Interpersonal Problems Circumplex Scale (KIIP-SC) was used for interpersonal problems, and Experiences in Close Relationships Scale-Revised (ECR-R) was used for the adult attachment. The correlation between sensory process type and interpersonal problems, adult attachment was analyzed by using pearson correlation analysis. Results : Sensory process type of university students appeared that sensory seeking was lower than general people, and the rest of items showed similar results with general people. For interpersonal problems, there was a lot of difficulty in self-sacrificing and overly accommodating, whereas there was a little difficulty in vindictive and domineering / controlling. For adult attachment, attachment avoiding was more stable than attachment anxiety. Also, low registration and sensory sensitivity all showed positive correlation with interpersonal problems and adult attachment. Among interpersonal problems, self-sacrificing and intrusive showed positive correlation with sensory seeking whereas cold, socially inhibited, nonassertive, and overly accommodating showed positive correlation with sensory avoiding. Thus, sensory seeking and sensory avoiding showed different results (p<.05). Conclusion : In occupational therapy clinic, not only the disabled but non-disabled people that experience issue of interpersonal problems and attachment could be helped with managing high quality social activity if they execute intervention according to sensory process type.