• Title/Summary/Keyword: State-Trait Anger Expression Inventory

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Interim Report about The Effect of Bunsimgi-eum(Fenxinqiyin) on the Chest Discomfort of Hwa-byung's Major Symptom (화병 핵심증상 중 흉민에 대한 분심기음의 효능 : 무작위배정, 이중맹검, 위약대조군연구의 중간보고 - 피험자 특성을 중심으로)

  • Yim, Hyeon-Ju;Kim, Seok-Hwan;Lee, Sang-Ryong;Kang, Wee-Chang;Jung, In-Chul
    • Journal of Oriental Neuropsychiatry
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    • v.20 no.3
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    • pp.169-188
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    • 2009
  • Objectives : The purpose of this research is to examine the effect of Bunsimgi-eum on the chest discomfort of Hwa-byung's major symptom. Methods : In this randomized, double blinded, placebo-controlled study, we planned to give Bunsimgi-eum or controlled medication for major symptoms of Hwa-byung. As preparatory research, 100 mm Visual Analogue Scale(VAS) for chest discomfort, the Hwa-byung' major symptom was measured as the 1st evaluative instrument, and Likert scale for major symptom of Hwa-byung, Korean State-Trait Anger Expression Inventory(STAXI-K), Korean State-Trait Anxiety Inventory(STAI-K), Korean Beck's Depression Inventory(BDI-K) and Heart Rate Variability(HRV) were also measured as the 2nd evaluative instrument at the before treatment. Results : Clinical characteristics-vital signs & demographic characteristics showed no significant difference between both groups. The characteristics of disease-chief complaint, pattern Identification, period, etiological factor, etc, also showed no significant difference between both groups. There were almost no Coincidence between pattern identification & weight of Hwa-byung's major symptoms. The results of Chest PA, EKG and clinicopathologic examination showed no significant difference between both groups. There were no significant difference between both groups in all valuation scales; 100 mm Visual Analogue Scale for chest discomfort, the Hwa-byung' major symptom was measured as the 1st evaluative instrument, and Likert scale for major symptom of Hwa-byung, STAXI-K, STAI-K, BDI-K and HRV. Conclusions : We considered that establishment of experimental group and controlled group was objective and worth conducting this research. And this methodology is expected to be applied to the subsequent research. And also, we hope to make up for this study through various study and discussion.

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A Study on the Relationship between Sleep Duration and Suicidal Idea in an Urban Area of South Korea (일 도시지역 주민들의 수면시간과 자살사고의 연관성에 관한 연구)

  • Lee, Yu-Jin;Kim, Seog-Ju;Cho, In-Hee;Kim, Jong-Hoon;Bae, Seung-Min;Koh, Seung-Hee;Cho, Seong-Jin
    • Sleep Medicine and Psychophysiology
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    • v.16 no.2
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    • pp.85-90
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    • 2009
  • Introduction: There has been an increasing interest in the relationship between sleep and suicidality. In addition, suicidal patients habitually report their sleep problems. Although sleep-related complaints and electroencephalographic changes are generally encountered in psychiatric disorders, sleep complaints such as insomnia, hypersomnia and nightmares are more common in suicidal patients. In current study, we aimed at investigating the relationship between self-reported sleep duration and suicidality in general population. Methods: One thousand general population (male:female=500:500, mean age=$39.6{\pm}11.6$ years, ranged age=20-77 years) completed Center for Epidemiologic Study-Depression (CES-D), Beck Suicide Intent scale (BSI), Spielberger State-Trait Anger Expression Inventory (STAXI), Barratt Impulsiveness Scale (BIS), Morningness-Eveningness Scale (MES) and brief questionnaire of sleep habits. Results: After controlling for age and sex, score of BSI was correlated positively with the score of CES-D, STAXI and BIS on partial correlation analysis ($r_p$=0.251; p<0.001, $r_p$=0.352; p<0.001, and $r_p$=0.175; p<0.001, respectively). In addition, score of BSI was inversely correlated with the score of MES (rp=-0.066; p=0.037). However, score of BSI showed no significant correlation with sleep duration. However, regression analysis revealed that short (<6 hrs) or long (>10 hrs) sleep duration, the family history of psychiatric illness, the score of CES-D, and the score of STAXI predicted higher score of BSI significantly in total subjects (F=17.837, adjusted $R^2$=0.166; p=0.003, p=0.003, p<0.001, and p=0.003, respectively). This model was explained better in depressed subjects with 16 or higher score of CES-D (F=9.920, adjusted $R^2$=0.298). Conclusion: Current result suggested that not only short sleep duration (<6 hrs) but also long sleep duration (>10 hrs) might be related to suicidality.

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Prediction of Sleep Disturbances in Korean Rural Elderly through Longitudinal Follow Up (추적 관찰을 통한 한국 농촌 노인의 수면 장애 예측)

  • Park, Kyung Mee;Kim, Woo Jung;Choi, Eun Chae;An, Suk Kyoon;Namkoong, Kee;Youm, Yoosik;Kim, Hyeon Chang;Lee, Eun
    • Sleep Medicine and Psychophysiology
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    • v.24 no.1
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    • pp.38-45
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    • 2017
  • Objectives: Sleep disturbance is a very rapidly growing disease with aging. The purpose of this study was to investigate the prevalence of sleep disturbances and its predictive factors in a three-year cohort study of people aged 60 years and over in Korea. Methods: In 2012 and 2014, we obtained data from a survey of the Korean Social Life, Health, and Aging Project. We asked participants if they had been diagnosed with stroke, myocardial infarction, angina pectoris, arthritis, pulmonary tuberculosis, asthma, cataract, glaucoma, hepatitis B, urinary incontinence, prostate hypertrophy, cancer, osteoporosis, hypertension, diabetes, hyperlipidemia, or metabolic syndrome. Cognitive function was assessed using the Mini-Mental State Examination for dementia screening in 2012, and depression was assessed using the Center for Epidemiologic Studies Depression Scale in 2012 and 2014. In 2015, a structured clinical interview for Axis I psychiatric disorders was administered to 235 people, and sleep disturbance was assessed using the Pittsburgh Sleep Quality Index. The perceived stress scale and the State-trait Anger Expression Inventory were also administered. Logistic regression analysis was used to predict sleep disturbance by gender, age, education, depression score, number of coexisting diseases in 2012 and 2014, current anger score, and perceived stress score. Results: Twenty-seven percent of the participants had sleep disturbances. Logistic regression analysis showed that the number of medical diseases three years ago, the depression score one year ago, and the current perceived stress significantly predicted sleep disturbances. Conclusion: Comorbid medical disease three years previous and depressive symptoms evaluated one year previous were predictive of current sleep disturbances. Further studies are needed to determine whether treatment of medical disease and depressive symptoms can improve sleep disturbances.