• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.1
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• pp.224-228
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• 2006

The pattern identification of exterior-interior syndrome and cold-heat syndrome is one of the diagnostic methods using most frequently in Oriental medicine. There was no systematic studies analyzing the characteristics of the 'exterior-interior and cold-heat' between healthy and disease group. In this study, cold-heat pattern, blood pressure, pulse rate, height and weight are recorded from 100 healthy subjects and 196 disease subjects with age ranging from 30 to 59 years. To analyze the differences between healthy and disease group, we used the descriptive statistics. And linear regression function, linear support vector machine and bayesian classifier were used for distinguishing healthy group from disease group. The score of both exterior-heat and interior-cold in healthy group is higher than the score in disease group. This means that if one belongs to the disease group, his(or her) exterior gets cold and his interior gets hot. And also, these result have no relevance to age. But, the attempt to classify healthy group from disease group with a exterior-interior and cold-heat and other vital signs did not have good performance. It mean that even though they have a different trend each other, only these kinds of information couldn't classify healthy group and disease group.

• Journal of Oriental Neuropsychiatry
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• v.26 no.3
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• pp.283-292
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• 2015

Objectives: The study aimed to test the validity and reliability of the questionnaire for cold-heat & deficiency-excess pattern identification of dementia and establish a new version of the questionnaire. Methods: Mean, standard deviation, skewness, internal consistency, correlation and t-test of the 26 items derived from previous study was analyzed in 20 dementia patients. The items with Cronbach-${\alpha}$ coefficient below 0.7 were modified. Thus, we established a new version of the questionnaire consisting of 20 items. Results: Cronbach-${\alpha}$ of each cold, heat, deficiency and excess questionnaire was 0.662, -0.229, 0.722 and 0.778, respectively. The correlation coefficient between cold, heat, deficiency and excess was less than 0.4 and correlation coefficient between dementia and cold, deficiency was 0.518. On t-test, the t-value of cold, deficiency and dementia was -2.196. Conclusions: The results indicated that cold-heat, deficiency-excess questionnaires showed satisfactory discriminant validity. In addition, there was correlation between dementia and cold, deficiency. Finally, we established a new version of the questionnaire for cold-heat, deficiency-excess pattern identification that consisted of 20 items.

• Journal of Oriental Medical Thermology
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• v.7 no.1
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• pp.14-21
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• 2009

Purpose : Among many symptoms that the climacteric patients complain of, the major symptom is heat and cold sensation of body in various pattern. So, we are intended to study patterns of climacteric patients by using D.I.T.I. Methods : We studied 55 patients visiting OO Oriental Hospital from 1st January 2008 to 31th December 2008. The patients were distributed one of patterns by inspecting D.I.T.I. And we investigated the temperature of the region of body in 5 groups. Results : There are five groups in D.I.T.I. Those are heat sensation of face pattern, heat sensation of chest pattern, cold sensation of hand & foot pattern, heat sensation of hand pattern and cold sensation of lower abdomen pattern. 22 subjects are in heat sensation of face group. 12 subjects are in heat sensation of chest group. 12 subjects are in heat sensation of hand group. 6 subjects are in cold sensation of lower abdomen group. 3 subjects are in cold sensation of hand & foot group. Conclusion : 5 patterns of D.I.T.I is showed in climacteric patients. To help oriental medical diagnosis, further studies are needed.

• The Journal of Korean Obstetrics and Gynecology
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• v.22 no.3
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• pp.143-151
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• 2009

Purpose: Among many symptoms that the climacteric patients complain of, the major symptom is heat and cold sensation of body in various pattern. So, we are intended to study patterns of climacteric patients by using D.I.T.I. Methods: We studied 55 patients visiting OO Oriental Hospital from 1st January 2008 to 31th December 2008. The patients were distributed one of patterns by inspecting D.I.T.I. And we investigated the temperature of the region of body in 5 groups. Results: There are five groups in D.I.T.I. Those are heat sensation of face pattern, heat sensation of chest pattern, cold sensation of hand & foot pattern, heat sensation of hand pattern and cold sensation of lower abdomen pattern. 22 subjects are in heat sensation of face group. 12 subjects are in heat sensation of chest group. 12 subjects are in heat sensation of hand group. 6 subjects are in cold sensation of lower abdomen group. 3 subjects are in cold sensation of hand & foot group. Conclusion: 5 patterns of D.I.T.I is showed in climacteric patients. To help oriental medical diagnosis, further studies are needed.

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.1
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• pp.15-21
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• 2010

Previously standardization study for identifying 5 types of pattern identification of stroke patients has been performed and the Korean standard of pattern identification (II) was developed. In the present study we investigated the interactions between total indices designated by the Korean standard of pattern identification(KSPI II) and indices for PI of Cold-Heat and Deficiency-Excess. Indicators for Cold-Heat and Deficiency-Excess are isolated from 58 indices through the survey of oriental medicine doctors and their relationship with KSPI-II indices was analyzed by corresponding analysis method using data of 1581 stroke patients. Means and standard deviations indicated that 2 Cold indices, 14 Heat indices, 12 Deficiency indices, and 5 Excess indices were included for Cold-Heat and Deficiency-Excess pattern identification. The results of corresponding analysis shows the relationship of 57 indices and 4 types of pattern identification (excluding 1 index and 1 pattern among 58 indices and 5 patterns) using the cross-tabulation which was obtained from the clinical data. Most of Cold and Heat index were divided to dimension 1(inertia 51.9%) obtained from the result of corresponding analysis. Deficiency and Excess index were partially associated with dimension 2(inertia 31.7%). These data suggest that pattern identification of Cold-Heat plays an role in the standardization of pattern identification in stroke, although further studies are required by various trials such as analysis of surveys and clinical data.

• The Journal of Internal Korean Medicine
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• v.43 no.6
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• pp.1063-1074
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• 2022

Objectives: The aim of this study was to investigate the differences in the prevalence of metabolic syndrome (MetS) according to the Sasang constitution (SC) and cold and heat pattern identification (CHPI). Methods: SC, CHPI, MetS, and component data were obtained from 2,561 participants in 26 Korean medical clinics from 2007 to 2013. SC, diagnosed by Korean medicine doctors, was confirmed by positive responses to herbal medicines administered according to that constitution. The CHPI was verified by a questionnaire about thermal sensitivity and drinking habits. The diagnosis criteria for MetS were: 1) waist circumference (WC) ≥90 cm (male) and ≥80 cm (female); 2) triglycerides ≥150 mg/dL; 3) high density lipoprotein cholesterol (HDL) <40 mg/dL (male) and <50 mg/dL (female); 4) blood pressure ≧130/85 mmHg; and 5) fasting blood glucose ≥100 mg/dL. Odds ratios (ORs) and differences in MetS and its components were compared using logistic regression and ANCOVA. Results: The MetS prevalence rates were 54.1%, 22.0%, and 33.3% for Taeeumin (TE), Soeumin (SE), and Soyangin (SY), respectively, and 30.5% and 44.5% for the cold and heat patterns, respectively. ANCOVA for MetS components showed significantly higher WC in TE than in SE or SY, and all components except HDL were higher in the heat pattern group than in the cold pattern group. Logistic regression for MetS prevalence showed a significant association between TE and the heat pattern group (OR=1.653) but not for non-TE and the cold pattern group. Conclusions: Considering SC and CHPI together may be more effective in managing MetS than considering SC alone.

• Journal of the Korean earth science society
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• v.26 no.6
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• pp.560-572
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• 2005

This study investigates the characteristics of atmospheric circulation and the heat source $(Q_1)$ related to the winter cold surge in Korea from 1979 to 1999. The occurrence frequency of cold surge is about one event per year and $60\%$ of the total events occurred during the former period, before 1989. During the cold surge, the pressure pattern shows more dominant east-west dipole circulation pattern in the lower troposphere and the effect of upper level trough is stronger than normal cases. Temperature falling pattern over Korea shows that the pattern opposite to the temperature structure over Lake Baikal and temperature change has opposite signs between the low-middle level and upper level, with the boundary at 400 hPa. The analysis of heat source shows that atmospheric cooling by cold advection during the cold surge is balanced by adiabatic warming due to downward motion, indicating that the movement path of cold core is associated with that of heat sink. Therefore, the movement mechanism of the heat source and sink should be well known for understanding the maintenance mechanism of cold surge and predicting cold surges.

• Journal of Sasang Constitutional Medicine
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• v.23 no.1
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• pp.33-43
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• 2011

1. Objectives: This study is aimed to develop the algorithm, which can help clinicians diagnose Soeumin's symptomology, based on the indexes such as dry mouth, water drinking, sweat, urine, appetite, digestion, and stool, etc. 2. Methods: This research analyzes the items of "Donguisusebowon(東醫壽世保元)" to reveal the inevitable and sequential indexes of Soeumin's symptomology diagnosis, in order of exterior-interior pattern differentiation, favorable-unfavorable pattern differentiation, and mild-severe-dangerous-urgent pattern differentiation. 3. Results and Conclusions: 1) 1st step: Soeumin's exterior pattern and interior pattern are differentiated in terms of heat and cold, respectively. Stool and digestion are used to confirm the difference. 2) 2nd step: The existence of sweat is used to find out that an exterior pattern is with or without favor, while the indexes of stool, dry mouth, and generalized pain are used to identify an interior pattern with or without favor. 3) 3rd step: The favorably exterior-heat pattern can be either mild or severe by the indexes of cold-heat, stool, tidal fever, and manic raving, panting and straight looking, while the unfavorably exterior-heat pattern can be either dangerous or urgent by the ones of cold-heat, stool, and urine. And, the favorably interior-cold pattern can be either mild or severe by the indexes of stuffiness and fullness, jaundice, and edema, while the unfavorably interior-cold pattern can be either mild or severe by the ones of vexation level.

• Journal of Sasang Constitutional Medicine
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• v.23 no.3
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• pp.294-303
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• 2011

1. Objectives: The purpose of this study is to develop the algorithm, which can help clinicians diagnose Soyangin's symptomatology, based on the indexes for energy and fluid and those for nutrient material. 2. Methods: The items of "Donguisusebowon(東醫壽世保元)" were analysed to figure out the inevitable and sequential indexes of Soyangin's symptomatology diagnosis, in order of exterior-interior pattern differentiation, favorable-unfavorable pattern differentiation, and mild-severe-dangerous-urgent pattern differentiation. 3. Results and Conclusions: 1) 1st step: Soyangin's exterior pattern and interior pattern are differentiated in terms of heat and cold, respectively. Aversion to cold and feces are used to confirm the difference. 2) 2nd step: The existence of diarrhea is used to find out that an exterior pattern is with or without favor, while the indexes of back cold, skinniness of thigh-knee and turbid urine are used to identify an interior pattern with or without favor. 3) 3rd step: The favorably exterior-heat pattern can be either mild or severe by the indexes of stuffiness/rigidity/pain below the heart and digestion, while the unfavorably exterior-heat pattern can be either dangerous or urgent by the ones of cold-heat and specific pain. And, the favorably interior-cold pattern can be either mild or severe mainly by feces and subsidiarily by delirious speech and digestion, while the unfavorably interior-cold pattern can be either mild or severe by afternoon tidal fever and vomiting.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.1
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• pp.49-56
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• 2017

Objectives : In this study, we diagnosed Mibyeong group of adult by taking into Mibyeong Index consideration, and identified the correlation of a Mibyeong group with cold-heat pattern and life quality of them. Methods : The questionnaires were collected by Gallup Korea professional surveyor through face to face interviews. To analyze the differences between health and mibyeong group, we used the descriptive statistics, Pearson's correlation, ANOVA. And multinomial logistic regression was used to generate the odds ratios (ORs) and 95 % confidence interval (CI) for the differences between health and mibyeong group. Results and Conclusions : The gender composition of respondents in this study that there 545 male (49.5%) and 555 female (50.5%). The score of both cold pattern(health: $21.33{\pm}4.25$, MI 1: $22.43{\pm}4.29$, MI 2: $24.09{\pm}5.03$; post hoc test, p <0.001) and heat pattern(health: $18.4{\pm}4.01$, MI 1: $19.48{\pm}4.10$ MI 2: $19.88{\pm}4.81$; post hoc test, p <0.001) in mibyeong group is higher than the score health group. And, these result have no relevance to age. The score of both Physical component summary (PCS) and Mental component summary (MCS) in health group is higher than the score mibyeong group. Cold-heat pattern and quality of life vary significantly according to health status. This results suggest the analysis of cold-heat pattern and quality of life by health status could provide the setting of direction to promote public health depending on health status.