Objectives : The purposes of this study were to investigate the recognition of Mibyeong, symptom, management plan and correlation between quality of life and health condition, and to suggest a plan for managing Mibyeong status. Methods : Participants were recruited based on the same sampling methods used on the previous study performed in 2013 based on area, gender and age. Questionnaires were collected by Gallup Korea professional surveyor through face-to-face interviews. The questionnaires contain questions about the recognition of Mibyeong, symptom, management plan and the quality of life in accordance with the relevant health conditions. Descriptive statistics were used for data analysis and the results were expressed as percentage ratios (%). Results : 1,100 of people were acquired in 2015. The responses for "First time to hear of Mibyeong" have shown that the percentage were reduced from 80% to 67% compared with 2013 data. The ratio of Mibyeong's symptoms in 2015 were similar to 2013. we suggested some ways to deal with the Mibyeong status including behavior adjustment (non smoking, non alcohol, control sleep pattern), herbal tea, health functional food, exercise, preventive health care (qi-gong, yoga), meditation, home health care medical device (hot-pack, seat device for fumigation, massager), and medical service (hospital, medical clinic oriental medical clinic). Almost people showed that positive opinion with them. There were significant correlation between quality of life with the health status rather than Mibyeong or disease group. Conclusions : This study was performed through scientific questionnaires collected in 2013 and 2015 to investigate people's understanding of Mibyeong as a present condition in Korean public. Some questions had significantly different responds between both years while others showed similar trends for both years. These results suggest that the concept of Mibyeong in oriental medicine could provide a management mechanisms that help people to manage the Mibyeong status.
Objectives : This study aims to investigate the recognition on Mibyeong among Korean Medicine doctors (KMDs) and to suggest institutional approaches for the active use of Mibyeong. Methods : On-line survey for KMDs who were registered in the Association of Korean Medicine was performed. The survey questionnaires included definitions and categories of Mibyeong, clinical use of Mibyeong, and the need for developing Mibyeong care packages, etc. Results : Of 18,344 KMDs who were received survey e-mail, 884 KMDs replied. As for the awareness of the Mibyeong, over 80% of the KMDs agreed the definitions based on patients' subjective symptoms and Korean Medicine theories. 36.1% of respondents used the term Mibyeong in the medical record, and 38.6% used when they explained the patients' condition to the patients. A majority of respondents agreed with the need for a developing Mibyeong care package. Developing the standard methods for Mibyeong assessment was the primary requisite on Mibyeong research. Conclusions : Currently the level of recognition and use of Mibyeong among Korean Medicine doctors was relatively low. To promote the use of Mibyeong in the clinical field, the standard methods for Mibyeong assessment and Mibyeong care package need to be developed.
Objectives : The number of people in Mibyeong state that complain of physical and mental discomfort but without a clear medical diagnosis has rapidly increased, but the conventional medical system is insufficient to care for these people. By establishing an evaluation instrument for Mibyeong state, it will be possible to provide a research base for Mibyeong management system and expand the clinical area of integrative medicine. Methods : Mibyeong Index was designed to measure inconvenience and resilience of subject's complains including four physical symptoms (fatigue, pain, low sleep quality, indigestion) and mental distress include anxiety, anger, depression. A 21-item quality of healthy measure was developed and tested. We used results of a nation-wide stratified sampled adult data in Korea. Results and Conclusions : Mibyeong index had adequate internal consistency, Cronbach's alpha was 0.88 in general population(N=1,110). The correlation between establised quality of life questionnaires (including SF-12 and EQ-D5 VAS) and the Mibyeong index were from 0.468 to 0.493. The national promotion of advanced health for an aging society and original Mibyeong care technology based on traditional Korean medicine can be developed by a self-care system that enhancing health before suffering illness. We expect that this instrument could be contribute to health management of people in Mibyeong state.
Kim, Ji Young;Lee, Si Woo;Jang, Eun Su;Baek, Young Hwa
Journal of Physiology & Pathology in Korean Medicine
/
v.31
no.3
/
pp.194-199
/
2017
This study aimed to identify the effects of lifestyle on Mibyeong, and provide basic data for health promotion activities for management of Mibyeong. A total of 405 data were analyzed for Daejeon University employees from July, 2015 to Jan, 2016. In this study, we collected the data about sex, age, BMI, dietary habit, physical activity, smoking, drinking, and Mibyeong index. There was a difference between Mibyeong groups according to irregular eating, eating of night snack, and smoking for men, while overeating, irregular eating, and physical activity for women. Logistics regression analysis, adjusting for sex and age, was used to estimate related factors of Mibyeong. Compared to the healthy group, Mibyeong 2 group tended to overeat 4 times a week with odds ratio of 3.52, eat irregularly with odds ratio of 2.67, lack of physical activity with odds ratio of 3.30, and to smoke with odds ratio of 3.07. This study suggests that lifestyle, particularly dietary habit, physical activities, and smoking, might be significantly associated with Mibyeong. Good lifestyle could help prevent Mibyeong.
Objectives : The purpose of this study was to investigate the association between quality of life and Mibyeong index of abnormal symptoms by the Mibyeong state. Methods : A total of 1,100 people were recruited into this study and were collected by specialized research company. The data were collected by personal information using MBI(Mibyeong Index) and SF-12 (Short form-12) and were analyzed with SPSS (version 21.0) computer program, and included Pearson's chi-square test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Results : The Mibyeong Index which represents abnormal symptom type showed significant difference for Mibyeong state (p<.001). In Total subject, fatigue, pain, low sleep quality and indigestion were found to be significant predictors of PCS(Physical Component Summary). In Healthy group, pain was found to be significant predictor of PCS. In MI 1 group, fatigue, pain, indigestion and anxiety were found to be significant predictors of PCS. In MI 2 group, fatigue, pain and low sleep quality were found to be significant predictors of PCS. In Total subject, fatigue, depression, anger and anxiety were found to be significant predictors of MCS (Mental Component Summary). In Healthy group, indigestion and anxiety were found to be significant predictors of MCS. In MI 1 group, depression and anger were found to be significant predictors of MCS. In MI 2 group, fatigue and depression were found to be significant predictors of MCS. Conclusions : The relationship between Quality of life and MBI changes according to Mibyeong state. We expect that this result could be contribute to health management of people in Mibyeong state.
Lee, Young Seop;Jin, Hee Jeong;Park, Dae Il;Lee, Si Woo
Journal of Sasang Constitutional Medicine
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v.30
no.1
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pp.66-73
/
2018
Objectives The purpose of this study was to develop mobile a application that evaluate the Mibyeong(deterioration of the health) in daily life and provide optimal Yangseng(養生) interventions according to the Korean medicine types. Methods The evaluation of Mibyeong utilized questionnaire or objective informations including Facial photographs and hemodynamic information. The Korean medicine type classification was reconstructed based on the concept of Sasang constitution and cold-heat pattern identification. Yangseng interventions were recommended based on Mibyeong symptoms, Korean medicine types, and demographic information. And we have developed tracking and ranking functions for user motivations. We used a Korean medicine database that focused on healthy people as a reference data, and used Yangseng interventions database that reinterpreted classical Yangseng in a modern way. Results and Conclusions We have developed a mobile application that evaluates the user's Mibyeong state and provides optimal Yangseng interventions based on Korean medicine types. This study are expected to improve the quality of health and contribute to the prevention of diseases.
Objectives: The aim of this study is to review the significance of managing "Mibyeong" in geriatric health in Korean medicine and psychology. Methods: We performed a literature search using OASIS, Koreantk, RISS, DBpia, and PubMed databases. We retrieved research articles using the keywords related to mibyeong (未病), sub-health (亞健康), Korean-medicine, psychology and geriatric health. Results: Both Korean medicine and psychology emphasize biological, psychological, and social balance and well-being. In addition, both value individual personality and constitution. Mibyeong is a Korean medical concept suggesting sub-health. Elderly individuals who are in a state of Mibyeong are frail and vulnerable to disorders and illness. Since depression, chronic diseases, low physical and mental activity have fatal outcomes in frail and elderly subjects, positive psychological support and active management of Mibyeong are very important. Conclusions: Geriatric health conditions are associated with chronic disease and multiple risk factors, including physiological, psychological, social, and economic conditions. A preventive and integrative approach is essential for geriatric health as prevention is better than cure for most geriatric diseases and illnesses.
Journal of Physiology & Pathology in Korean Medicine
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v.35
no.5
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pp.185-192
/
2021
The purpose of this study is to identify the effects of lifestyle, study stress and training stress on health status, and provide fundamental data for health management of university students majoring in physical education. In this study, 149 students participated and they were surveyed demographic characteristics, lifestyle, Maslach burnout inventory (student stress inventory), training stress inventory, and Mibyeong index. Height and weight were measured for calculating BMI. For statistical analysis, Student t-test, ANOVA test, chi-square test, correlation analysis, and multinominal logistic regression test has been used. There were differences between Mibyeong groups according to digestion status, smoking for female students and quality of sleeping for both male and female students. Study stress and training stress also affected to health status. Cynicism among study stress categories and all categories among training stress showed differences between sex. Correlation analysis and logistics regression analysis was used to estimate related factors of health status after adjusting for sex and age. Based on logistics regression analysis, quality of sleeping affected to Mibyeong 1 group and quality of sleeping, smoking and digestion status affected to Mibyeong 2 group. Among training stress category, dissatisfaction with game result and skills and lack of leisure time were affected to both Mibyeong 1 and 2 group. This study suggests that lifestyle, study stress and training stress might be significantly associated with university students majoring in physical education. Through managing those influence factors, health status of students could be improved.
Objectives: The purpose of this study is to predict the weight loss by applying machine learning using real-world clinical data from overweight and obese adults on weight loss program in 4 Korean Medicine obesity clinics. Methods: From January, 2017 to May, 2019, we collected data from overweight and obese adults (BMI≥23 kg/m2) who registered for a 3-month Gamitaeeumjowi-tang prescription program. Predictive analysis was conducted at the time of three prescriptions, and the expected reduced rate and reduced weight at the next order of prescription were predicted as binary classification (classification benchmark: highest quartile, median, lowest quartile). For the median, further analysis was conducted after using the variable selection method. The data set for each analysis was 25,988 in the first, 6,304 in the second, and 833 in the third. 5-fold cross validation was used to prevent overfitting. Results: Prediction accuracy was increased from 1st to 2nd and 3rd analysis. After selecting the variables based on the median, artificial neural network showed the highest accuracy in 1st (54.69%), 2nd (73.52%), and 3rd (81.88%) prediction analysis based on reduced rate. The prediction performance was additionally confirmed through AUC, Random Forest showed the highest in 1st (0.640), 2nd (0.816), and 3rd (0.939) prediction analysis based on reduced weight. Conclusions: The prediction of weight loss by applying machine learning showed that the accuracy was improved by using the initial weight loss information. There is a possibility that it can be used to screen patients who need intensive intervention when expected weight loss is low.
Objectives This study was to identify the lifestyle associated with metabolic syndrome and to suggest a personalized health management according to the constitution to prevent disease by metabolic syndrome stage. Methods This study used the data of Korean medicine Data Center (KDC). A total of 8,985 data were searched for subjects who participated in Anseong and Ansan cohorts study from 2009 to 2012. We analyzed 2,602 participants that diagnosed with metabolic syndrome among the ages of 30 to 55. We divided into three groups, none, pre-metabolic syndrome (Pre-MetS), and metabolic syndrome (MetS), according to number of metabolic syndrome elements. Results The prevalence of metabolic syndrome was highest in Taeumin (Pre-MetS: 48.2%, MetS: 41.2%). The risk factors for metabolic syndrome are dietary amount, speed of eating, and sleep quality in Taeumin, and dietary amount and sleep quality in Soyangin. Conclusions The life style affecting the metabolic syndrome were different according to the constitution. It is necessary to manage life style considering the Sasang constitution
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