Seo, Man-Kil;Han, Woo-Sang;Lee, Kyung-Kyu;Yu, Bum-Hee;Lee, Yu-Ri;Kim, E-Yong;Kim, Hyun-Woo
Sleep Medicine and Psychophysiology
/
v.6
no.1
/
pp.38-45
/
1999
Objectives: We explored the characteristics of physiological variables such as electrodermal response(EDR) and electromyography(EMG) in patients with insomnia, panic disorder, and other anxiety disorders. we aimed to decide the minimum sessions in biofeedback treatment to make the treatment effective and examine the effects of long-term biofeedback treatment by measuring the physiological variables. Methods: Thirty seven outpatients who received biofeedback treatment were divided into 3 groups according to the number of biofeedback sessions(patients who received 4-5 sessions, who received 6-9 sessions, and who received more than 10 sessions). We measured mean and delta values of EDR and EMG levels, and the Hamilton Anxiety Rating Scale(HARS), and Slef-Relaxation Inventory(SRI) in all patients. Data were analyzed by t-test and repeated measures analysis of variance. Results: The mean and delta values of EDR and EMG levels were not different among the 3 groups during the first 4 biofeedback sessions. However, patients who received more than 10 biofeedback sessions had higher baseline mean EDR value(F=2.233, p=0.036) in the first session, compared with other patients. In patients who received more than 10 biofeedback sessions, mean EDR was significantly reduced after $5^{th}$ session(F=10.41, p<0.01). They showed significant improvement in SRI scores at 12th biofeedback session(t=2.726, p<0.05) and in HARS scores at $6^{th}$(t=3.10, p<0.05) and $12^{th}$ biofeedback session(t=10.93, p<0.001). Conclusions: Wesuggest that patients should receive more than 5 biofeedback sessions to experience internal cues and get a good clinical response to biofeedback treatment.
Kim, Sung-Soo;Im, Su Geun;Hwang, Boin;Kim, Youl-Ri
Korean Journal of Psychosomatic Medicine
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v.25
no.2
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pp.185-192
/
2017
Objectives : The aims of present study was to investigate clinical characteristics of male patients with eating disorders. Methods : The present study included 32 male patients with eating disorders and 75 female patients with eating disorders, recruited from an eating disorders specialized clinic in a university hospital, Seoul, Korea. We compared clinical characteristics of eating disorders and comorbid conditions of depression and anxiety between men and women with eating disorders. Correlations between eating disorders psychopathology in men with eating disorders and their weight suppression(WS) were investigated. Results : There was no difference in age at presentation, age of onset, illness duration, and body mass index at presentation between genders. Male patients with eating disorders had higher rates of premorbid overweight or obesity than female patients with eating disorders had. WS in the male patients was associated with the severity of their eating disorders. Conclusions : The present study provides grounds for improved understanding for clinical features of eating disorders in males.
Objectives: This study aimed to evaluate the clinical efficacy of individual cognitive behavioral therapy (CBT) for Patients with Primary or Secondary Insomnia. Methods: Participants were recruited from a primary care sleep clinic from January 2008 to June 2009. The study sample included 64 outpatients with primary insomnia (n=30) and secondary insomnia (n=34) according to the criteria of DSM-IV. Participants completed sleep diaries, Dysfunctional Beliefs and Attitudes about Sleep Scale-16 (DBAS), State-Trait Anxiety Inventory (STAI) before CBT and shortly after completion of CBT. CBT was provided in 7 weekly, 40-50-minute individual therapy sessions. Results: Both groups of patients with primary and secondary insomnia showed significant improvement in the DBAS and sleep parameters including sleep onset latency, total sleep time, and sleep efficiency. Repeated-measures ANOVA of the DBAS and sleep parameters showed no significant group-by-time interactions between patients with primary and secondary insomnia, suggesting the efficacy of CBT for patients with secondary insomnia was equivalent to that of CBT for patients with primary insomnia. Conclusion: This study suggests that CBT is effective for the management of primary and secondary insomnia in a primary care setting.
Objectives: An Increased level of psychophysiologic arousal and diminished physiologic flexibility would be observed in patients with panic disorder compared with a normal control group. We investigated the differences of psychophysiologic response between patients with panic disorder and normal control to examine this hypothesis. Methods: Ten Korean patients with panic disorder who met the diagnostic criteria of DSM-IV were compared with 10 normal healthy subjects. In psychological assessment, levels of anxiety and depression were evaluated by State-Trait Anxiety Inventory, Beck's Depression Inventory and Hamilton Rating Scale For Anxiety and Depression. Heart rate, respiration rate, electrodermal response, and electromyographic activity were measured by biofeedback system (J & J I-330 model) to determine psychophysiologic responses on autonomic nervous system. Stressful tasks included mental arithmetic, video game, hyperventilation, and talking about a stressful event. Psychophysiologic responses were measured according to the following procedures : baseline(3 min)-mental arithmetic (3 min)-rest (3 min)-video game (3 min)-rest (3 min)-hyperventilation (3 min)-rest (3 min)-talking about a stressful event (3 min). Results: The baseline level of anxiety and depression, electrodermal response (p=.017), electromyographic activity (p=.047) and heart rate (p=.049) of patients with panic disorder were significantly higher than those of the normal subject group. In electrodermal response, patient group had significantly higher startle response than the control group during hyperventilation (p=.001). Startle and recovery responses of heart rate in the patient group were significantly lower than responses in the control group during mental arithmetic (p=.007, p=.002). In electrodermal response of the patient group, startle response was significantly higher than recovery response during mental arithmetic (p=.000) and video game task (p=.021). Recovery response was significantly higher than startle response in respiratory response during hyperventilation. Conclusion: The results showed that patients with panic disorder had higher autonomic arousal than the control group, but the physiologic flexibility was variable. We suggest that it is helpful for treatment of panic disorder to decrease the level of autonomic arousal and to recover the physiologic flexibility in certain stressful event.
Objectives : This study was to provide normative data of Korean version of DSI(K-DSI), a sensitive measure of relatively minor stressors that could be administered daily. Methods : K-DSI was administered in 524 adults, age of 19 or over, daily for 1 week. On the seventh day, Becks Depression Inventory(BDI), State-Trait Anxiety Inventory(STAI), and Social Readjustment Rating Scale(SRRS) were also given to test the convergent validity. Analyses(ANOVA or t-test) were conducted to examine the potential effects of demographic variables on K-DSI score. Internal consistency for reliability and Pearson's corelation coefficient with BDI, STAI, SRRS for convergent validity were computed. Percentile scores were calculated for daily and weekly K-DSI Event, Impact and I/E Ratio scores. Results : K-DSI scores in women were higher than those in men. According to age and educational level, the younger and the higher educational level the normative groups were, the higher were K-DSI scores. Among the 5 categories of the inventory, the category of cognitive stressors was highest. Internal consistency of K-DSI(Cronbach's $\alpha$) was .99. Daily and Weekly events and impacts scores were significantly correlated with the scores of State-Trait Anxiety Inventory, Social Readjustment Rating Scale, and Beck Depression Inventory. 75 percentile scores of the daily/weekly Events, Impacts, and I/E ratio were 17/118 - 124, 57/368 - 389 and 3.48 - 3.49/3.47 - 3.48 respectively. And 95 percentile scores of daily/weekly Events, Impacts, and I/E ratio were 57/151- 161, 405/1038 - 1122, and 4.72 - 4.86/4.46 - 4.56 respectively. Conclusion : Reliability and validity of K-DSI were tested satisfactorily. Authors presented the normative data of K-DSI for Koreans. K-DSI could be a useful measure in clinical settings or researches to assess the minor stressors frequently experienced in everyday life.
Objectives : Illness behavior is defined as the persistence of an adaptive/maladaptive mode of perceiving, evaluating and responding to health status and symptoms according to the status. In a cognitive aspect, somatizing symptoms are regarded as being originated from distortions, including magnification and/or amplification, of perceiving, evaluating and responding to symptoms such as bodily sensations. That is somatization may be explained by maladaptive illness behavior. In this study, we tried to investigate differences of illness behavior in depressive patient according to the presence of somatization. Methods : We divided 45 patients who were diagnosed as depression with ICD-10 diagnostic criteria into two groups(somatizing and non-somatizing group) according to the somatization subscale of Korean Depression Scale and compared two groups in the differences of illness behavior using the Illness Behavior Questionnaire. Results : Somatizing group showed significantly higher scores than non-somatizing group on the disease affirmation subscale($6.79{\pm}2.08$ vs. 4.76, p=0.003) and the denial subscale($3.25{\pm}1.22$ vs. $2.10{\pm}1.41$, p=0.006). There were no significant differences between two groups on the general hypochondriasis subscale and the affective unstability subscale. In a logistic regression analysis, somatizing group also showed higher odds ratio (OR) scores on the disease affirmation subscale(OR=1.418, p=0.089) and the denial subscale(OR=1.880, p=0.083). Conclusion : The disease affirmation and denial may be a discriminative mechanism of somatization in depressive patients. These subscales of Illness Behavior Questionnare could be useful markers, and psychiatric illnesses with somatizing and depressive symptoms may be differentially diagnosed and be predicted through these subscales.
Objectives: The experience of traffic accident is a kind of the psychosocial stressors to person. The traffic accident-related patients may show the psychophysiologic hyperarousal. So we examined the differences of psychophysiologic response between patients with and without the memory of experienceing a traffic accident. Methods: Twenty-four traffic accident-related patients were divided into two groups according to ther memory of a traffic accident. In psychological assessment, levels of anxiety and depression were evaluated by State-Trait Anxiety Inventory, Beck's Depression Inventory, and Hamilton Rating Scales For Anxiety and Depression. Heart rate, electrodermal response (EDR), and electromyographic activity (EMG) were measured by biofeedback system, and systolic and diastolic blood pressure by automated vital sign monitor during baseline, task, and rest periods. We utilized script-driven imagery technique as a stressful task. The patients listened to the script describing their own traffic accident experience and were instructed to imagine the event during the task period. Statistically analytic data were obtained from the differences of psychological and psychophysiologic data between two groups. Results: The memory group did not show significantly higher EDR than the none memory group, but showed higher tendency during baseline, imagery, and rest periods. The memory group showed significantly lower EMG than the none memory group during rest period. However, there were no differences in other psychophysiologic reponses between the two groups. Conclusion: Our results showed that the memory group had higher tendency in autonomic arousal level such as electrodermal response than the none memory group. We suggest that physicians need to minimize repetitive imagery of traffic accident (reexperience), and decrease the autonomic hyperarousal in the treatment of traffic accident-related patients.
Objectives : This study was to evaluate sleep patterns and daytime sleepiness resulting from rotating shiftwork. The authors, also, tried to find out the relationship between the severity of daytime sleepiness and personality factors. Methods : The subjects consisted of 41 female rotating shiftwork nurses and the control group consisted of 39 female day timeworkers. All of them completed the Sleep questionnaire of Korea University Sleep Disorder Clinic, the Epworth Sleepiness Scale(ESS), the 16 Personality Factors(16PF), the Beck Depression Inventory(BDI) and the State Trait Anxiety Inventory(STAI). Multiple regression analysis of 16PF of the rotating shiftwork nurses was done to find out possible predictors of the severity of daytime sleepiness. Results : The mean duration of deprived sleep due to rotating shiftwork was $64.26\;{\pm}\;14.54\;min$. The frequency of sleep difficulty($1.24\;{\pm}\;1.17\;day/week$ vs $0.67\;{\pm}\;1.31\;day/week$, p < 0.05), time needed to fall asleep($103.05\;{\pm}\;73.48\;min$. vs $70.00\;{\pm}\;60.08\;min$, p < 0.05), sleep duration when having some difficulties in sleep ($204.25\;{\pm}\;79.90\;min$. vs $280.44\;{\pm}\;111.59\;min$., p < 0.001), recent changes in energy($x^2\;=\;4.16$, p < 0.05), worrying about sleep($x^2\;=\;11.08$, p < 0.05), and taking naps($x^2\;=\;4.98$, p < 0.05) showed significant differences between rotating shiftworkers and normal controls. The ESS socre of shiftworkers ($8.68\;{\pm}\;3.04$) was greater than that of normal controls ($6.86\;{\pm}\;3.04$)(p < 0.01). Personality factors such as C factor($R^2\;=0.283$), I factor($R^2\;=0.358$) and G factor($R^2\;=0.470$) were related with the severity of the daytime sleepiness(p < 0.001). Conclusions : The rotating shiftwork nurses had more difficulties in sleep such as having difficulties in falling asleep and in maintaining sleep, and showed lowered energy, decreased senses of well-being and so on. The rotating shiftwork nurses experienced more severe daytime sleepiness than controls did. Personality factors, such as C factor, I factor, and G factor of 16PF were suggested to be useful for predicting the severity of daytime sleepiness resulting from rotating shiftwork.
In this study, multilateral conceptualizations of underemployment were measured in terms of wages, social status, skill utilization and permanence of the job, and then the effects of antecedents on underemployment and the effects of underemployment on organizational adaptation were examined. Data obtained by a longitudinally designed survey at intervals of 18 months with the reemployed(N = 153) after job loss were used. The underemployment measures include 1) the ratio of wage change 2) the ratio of status change 3) the ratio of education 4) the occurrence of change from the permanent job to temporary job, 5) overqualification - growth opportunity, 6) overqualification - mismatch. The first four measures are social-economic and objective measures and the last two measures are psychological and self-reported ones. Demographic variables(sex, age, education level, and period of unemployed), circumstantial variables(economic hardship, number of dependents), and psychological variables(job-seeking self-efficacy, depression/anxiety, latent function) are included in antecedents. In the effects of antecedents on underemployment, age increases the level of underemployment in the aspects of wage and job status. Economic hardship increases the possibility of underemployment in the aspects of education and number of dependents increases the possibility of underemployment in the aspects of job status. Job seeking self-efficacy decreases the possibility of underemployment in the overqualification - no growth. Retention of latent function during the period of unemployment lowers the possibility of underemployment in the overqualification - no growth. The level of depression and anxiety during the period of unemployment raises the possibility of underemployment in terms of education and in the overqualification - mismatch. In the effects of underemployment on organizational adaptation, the higher the level of underemployment in the aspect of education is, the lower the level of person-organization fit, emotional commitment, and job satisfaction are. And the transition from permanent job to temporary job makes emotional commitment and job satisfaction lower. No growth and mismatch exerted a significant influence on organizational adaptation generally.
Yoon, Ho-Kyoung;Kang, Seung-Gul;Ham, Byung-Joo;Lee, Heon-Jeong;Kwon, Ho-In;Suh, Kwang-Yoon;Kim, Leen
Sleep Medicine and Psychophysiology
/
v.10
no.1
/
pp.32-38
/
2003
Objectives: The purpose of this study is to investigate the effects of stress and personality on sleep patterns, and further, to identify potential correlations between stress and personality characteristics. Methods: A total of 174 healthy college students were subjects for this study. Participants filled out the Daily Stress Inventory before sleep and the Modified Pittsburgh Sleep Quality Index after sleep on three consecutive days. They also filled out the 16 Personality Factor Questionnaire (16-PF), BDI (Beck Depression Inventory) and STAI (State-Trait Anxiety Inventory). Results: Minor stresses highly correlated with subjective sleep quality and symptoms of non-restorative sleep. However, total sleep time, sleep latency, awakening frequency, and frequency of dreams were not explained by stress scores. The O (guilty feeling), C (low ego strength) and Q4 (high anxiety) factors of the 16-PF also highly correlated with symptoms of non-restorative sleep and significantly affected sleep patterns. BDI and STAI scores also correlated with the above personality factors and minor stresses. Conclusion: This study showed that minor stresses impaired the restorative effects of sleep. Personality characteristics such as low ego strength, high levels of anxiety, and feelings of guilt were vulnerable to minor stresses. Minor stress, various personality characteristics, different coping patterns, and emotional response are highly correlated with each other and affect sleep patterns.
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