• Korean Deer Journal
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• v.2 no.6 s.11
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• pp.54-57
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• 1997

• The Science & Technology
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• no.3 s.454
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• pp.37-41
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• 2007

• 대한한약
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• s.2
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• pp.348-393
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• 1998

• Journal of Sasang Constitutional Medicine
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• v.34 no.2
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• pp.1-14
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• 2022

Objectives The aim of this study was to investigate the change in Sasang constitution prediction value in 2 years and find the factors associated with it. Methods Cohort data from Korean medicine data center was used. Using Korean Sasang Constitutional Diagnostic Questionnaire (KS-15) which consist of questions related to body shape, temperament, and symptoms, participants were categorized into Tae-Yang (TY), Tae-Eum (TE), So-Yang (SY), and So-Eum (SE). Sasang constitution was assessed on the baseline and after two years. Result Total 5,784 participants were analyzed. (TE 3, 341; SE 911; SY 1,532). Among them, 1,402 participants (24.2%) showed different prediction value in KS-15 after two years. The proportion of participants showing different prediction value in two years was the highest in SY, and the lowest in TE group. The factors associated with the change in Sasang constitution prediction value were different by constitution type. The change in feeling after sweating was significantly associated with the change in prediction value in TE and SY groups, not in SE group. Although temperament was not significantly associated with the change in prediction value from TE to SE, it was significantly associated with that in the change from TE to SY. The change in BMI and appetite were associated with the change in constitution prediction value in all three constitution types. Conclusion Although the factors associated with the change in prediction value of Sasang constitution were different by each constitution type, BMI and appetite were significant in all three types. These factors could be useful for developing Sasang constitution questionnaire and deciding re-prediction needs of Sasang constitution. Further research about the factors related to Sasang constitution diagnosis need to be conducted.

• Journal of Sasang Constitutional Medicine
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• v.34 no.1
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• pp.46-57
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• 2022

Background Adherence to healthy diet acts as a key role to modify sedentary lifestyle in real life setting. Constitution type of traditional Korean medicine has been prediagnosed to risk factors of cardiometabolic diseases. This study aims to evaluate the associations between body composition and healthy eating status in Korean adults by their constitution type. Methods Of 4046 participants from Korean Medicine Daejeon Citizen Cohort study, Korean Medicine Daejeon Citizen Cohort (KDCC) study were included for analysis. Demographic, health-related behaviors and Korean Medicine (KM) type were surveyed based on a general health-related questionnaire. Anthropometric measurements and dietary factors by using Korean Healthy Eating Index (KHEI) were assessed only in the half of the original participants. Results 50.8% of Taeeum was observed from eligible 1967 participants (66.7%, women). The highest KHEI score was observed in soyang group (52.0±0.3, p=0.006) compared to other two groups. In taeeum group, lower appendicular skeletal muscle mass (ASM)(%)(Taeeum: 38.7±0.1 vs. Soeum/Soyang: 39.2±0.1, p < 0.05), and higher percent of body fat (PBF)(%) (Taeeum: 32.9±0.2 vs. Soeum/Soyang: 29.0±0.2, p < 0.05) by the lowest tertile (T1) of the KHEI score, respectively. When the KHEI score increased by 1 point in taeeum group, a positive relationship was observed, which increased by 0.015% of ASM, however, a negatively related to in which body fat mass (BFM) decreased by 0.022 kg and PBF decreased by 0.024%. Conclusion Customized nutritional management is required that could help maintaining physical health and diet by their constitution type.

• Journal of Sasang Constitutional Medicine
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• v.36 no.2
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• pp.12-26
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• 2024

Objectives We aimed to identify the incidence of metabolic syndrome (MetS) and its clustering components according to constitution type and lifestyle risk factors in Korean adults. Methods This study included 1,978 adults aged 30-55 years from the Korean Medicine Daejeon Citizen Cohort (KDCC) study. We defined lifestyle factors including smoking, alcohol consumption, physical activity, sleep, dietary quality, and weight status. Total lifestyle scores were created based on the six lifestyle factors (ranging from 0 to 5 factors) and classified into two groups: unhealthy (0-2 factors), or healthy (3-5 factors). Cox proportional hazard regression was used to estimate the hazard ratio (HR) and 95% confidence intervals (CIs) of primary endpoints: MetS events and their clustering components. Results During a median follow-up of 2.2 years, we documented 125 new onsets of MetS. Compared with participants with healthy, the HR of unhealthy participants was 2.401 (95% CI: 1.497-3.851) for MetS incidence. After adjusting for covariates, TE type with unhealthy was higher HR values of abdominal obesity (HRs: 1.499, 95%CI: 1.061-2.117) and hypertension (HRs: 1.840, 95%CI: 1.032-3.277), respectively. Conclusion Unfavorable lifestyle factors were highly associated with the prevalence of MetS and its clustering such as abdominal obesity and hypertension in Korean adults with TE. Tailored health management is needed to consider individual traits and healthy lifestyles to prevent cardiometabolic diseases.

• Journal of Oriental Neuropsychiatry
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• v.35 no.3
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• pp.231-246
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• 2024

Objectives: To build basic clinical data for developing an artificial intelligence algorithm for Korean herbal prescriptions for anxiety, depression, anger, and insomnia. Methods: Subjects were recruited among those who reported mild or more severe symptoms of anxiety, depression, anger, and insomnia (Anxiety: State-Trait Anxiety Inventory≥40, Depression: Beck Depression Inventory≥14, Anger: State-Trait Anxiety Inventory≥16, Insomnia: Insomnia Severity Index≥8). Clinical observation items including basic medical information and symptoms were collected from them. These data were then analyzed by experts in Hyungsang medicine, Sasang constitutional medicine, and Sanghan-Geumgwe medicine. Results and Conclusions: Experts of the three societies presented key clinical data and recommended prescriptions. Results of this study can be used as basic data for developing an artificial intelligence algorithm for Korean herbal prescriptions in the future.

• Journal of Biomedical Engineering Research
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• v.42 no.5
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• pp.201-210
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• 2021

In Korean medicine, tongue diagnosis is one of the important diagnostic methods for diagnosing abnormalities in the body. Representative features that are used in the tongue diagnosis include color, shape, texture, cracks, and tooth marks. When diagnosing a patient through these features, the diagnosis criteria may be different for each oriental medical doctor, and even the same person may have different diagnosis results depending on time and work environment. In order to overcome this problem, recent studies to automate and standardize tongue diagnosis using machine learning are continuing and the basic process of such a machine learning-based tongue diagnosis system is tongue segmentation. In this paper, image data is augmented based on the main tongue features, and backbones of various famous deep learning architecture models are used for automatic tongue segmentation. The experimental results show that the proposed augmentation technique improves the accuracy of tongue segmentation, and that automatic tongue segmentation can be performed with a high accuracy of 99.12%.

• Journal of Sasang Constitutional Medicine
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• v.36 no.2
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• pp.39-48
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• 2024

Objectives The aim was to develop a method for detecting Sasang constitution based on the ratio of facial landmarks and provide an objective and reliable tool for Sasang constitution classification. Methods Facial images, KS-15 scores, and certainty scores were collected from subjects identified by Korean Medicine Data Center. Facial ratio landmarks were detected, yielding 2279 facial ratio features. Tree-based models were trained to classify Sasang constitution, and Shapley Additive Explanations (SHAP) analysis was employed to identify important facial features. Additionally, Body Mass Index (BMI) and personality questionnaire were incorporated as supplementary information to enhance model performance. Results Using the Tree-based models, the accuracy for classifying Taeeum, Soeum, and Soyang constitutions was 81.90%, 90.49%, and 81.90% respectively. SHAP analysis revealed important facial features, while the inclusion of BMI and personality questionnaire improved model performance. This demonstrates that facial ratio-based Sasang constitution analysis yields effective and accurate classification results. Conclusions Facial ratio-based Sasang constitution analysis provides rapid and objective results compared to traditional methods. This approach holds promise for enhancing personalized medicine in Korean traditional medicine.

• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.95-106
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• 2022

This study evaluated the effects of latex mattresses on sleep quality and comfort. The participants were 11 healthy adults (five males, six females, mean age 37.7 years, mean height 167.8 cm, and mean weight 67.0 kg) without severe insomnia or other disease that could affect sleep, examined by a clinician. In their personal living space, participants slept on a spring mattress for 7 days, with their sleep registered using a wearable device (Fitbit), a sleep log, the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), and a satisfaction survey. The mattresses were then replaced with latex mattresses, which were used for 14 days. As a result, sleep time increased by 62.9 min on weekdays and 53.2 min on weekends after using the latex mattress, and a significant decrease, of 3.8, as seen on the ISI. As measured by the PSQI, the poor sleepers decreased from 10 to 7, but this was not statistically significant, and in the satisfaction survey, the comfort of the low back, neck, and shoulders was significantly increased. This suggests that changes to latex mattresses may positively affect objective and subjective sleep quality.