• 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.34 no.4
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• pp.27-37
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• 2022

Objectives The purpose of this study is to propose a method to more specifically identify Sasang constitutional risk factors of metabolic syndromes by adjusting the cut-off value of Korea Sasang Constitutional Diagnostic Questionnaire (KS-15). Methods Data of 1997 participants in Korean medicine Daejeon Citizen Cohort study (KDCC) were analyzed. Metabolic syndrome was defined according to the NCEP-ATP III, lifestyle information, and hematologic information including KS-15 and demographic characteristics were used as covariates. Results The 179 subjects with metabolic syndrome accounted for 9.0% of the total. As a result of determining the Sasang constitution for the KS-15 response based on the cut-off values (approximate 0.33), 0.5, and 0.6 of the constitutional score, when performed at the 0.6 cut-off model, the odds ratio of TE was 2.46 which showed a statistically significantly higher risk than the borderline group. For the accuracy of the model and the Area under the curve (AUC), the model accuracy based on the original cut-off of the KS-15 was 0.902 and AUC was 0.737. The accuracy of the model with cut-off of 0.5 and with of 0.6 were 0.904 and 0.902, respectively, and the AUCs were 0.687 and 0.741, respectively. Conclusion In this study, we confirmed that it is effective to increase the cut-off value of KS-15 to 0.6 in the metabolic syndrome risk model. It is expected that this could increase the accuracy of identifying high-risk groups for metabolic syndrome.

• Journal of Sasang Constitutional Medicine
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• v.32 no.4
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• pp.86-95
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• 2020

Objectives Meal and nutrition are important lifestyle factors that affect maintenance and promotion of health status and are also associated with chronic diseases. In Sasang constitutional medicine, dietary behavior according to the characteristics of Sasang constitution (SC) types is a key component in health management. The aim of this study was to evaluate the nutritional status and quality of meals according to the SC. Methods This was a cross-sectional study of 1,947 subjects surveyed in a community-based cohort called the Korean Medicine Daejeon Citizen Cohort study. Data were collected including demographic characteristics, Korea Sasang Constitutional Diagnostic Questionnaire, and nutrition quotient (NQ) for adults. We analyzed the differences in NQ grade and scores among three SC types: Taeeumin (TE), Soeumin (SE), and Soyangin (SY), by conducting chi-square and ANCOVA tests. Results The distribution of SC into TE, SE, and SY types was 43.1%, 25.2%, and 31.8%, respectively. The mean NQ score of all subjects was 53.4±8.6. There was a significant difference in the distribution of NQ grades and mean of NQ scores among SC types, including total and four sub-factors: balance, diversity, moderation, and dietary behavior. The TE type had the lowest score for the moderation factors in the crude model. The SE type showed lower NQ scores than the TE and SY types in all domains except moderation after adjusting for variables. Conclusions We found that dietary behaviors had to be distinct according to the SC types. These results elucidate why it is important to develop a customized dietary habit management program considering the SC types.

• 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 Sasang Constitutional Medicine
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• v.36 no.2
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• pp.27-38
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• 2024

Objectives The purpose of this study was to compare sleep quality and chronotype by Sasang constitution and examine the relationship with nutritional status. Methods This study used 672 follow-up data from the Korean Medicine Daejeon Citizen Cohort study (KDCC). Demographic, Sasang constitution, sleep quality, chronotype, and nutritional status evaluation were conducted based on questionnaires. Multiple linear regression analysis was used to confirm the relationship between sleep quality and chronotype according to Sasang constitution and nutritional status. Results The relationship between sleep quality and chronotype by Sasang constitution and nutritional status is that Taeeum nutritional index is related to sleep quality (adj. B = -0.46, 95% CI = -0.79 ~ -0.12) and chronotype (adj. B = 0.38, 95% CI = 0.24 ~ 0.52), and Soeum and Soyang showed an association between nutritional indices only in chronotype (adj. B = 0.43, 95% CI = 0.23 ~ 0.63 in SE, adj. B = 0.55, 95% CI = 0.38 to 0.73 in SY). Conclusions This study confirmed the relationship between sleep quality and chronotype and healthy eating habits. For a balanced nutritional status, overall sleep management is necessary. Based on the results of this study, we intend to use it as basic data on the impact of the relationship between nutritional status and chronotype by Sasang constitution on health.

• Journal of Sasang Constitutional Medicine
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• v.34 no.1
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• pp.1-12
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• 2022

Objectives This study aimed to examine the differences in the distribution of metabolic syndrome(MetS) and cold hypersensitivity in the hands and feet(CHHF) according to Sasang constitution, and to determine whether CHHF and MetS have an inverse association. Methods MetS and its components, CHHF, Sasang constitution data from 1,998 participants in the Korean medicine Daejeon Citizen Cohort study(KDCC) were obtained. The participants were divided into a non-CHHF(n = 1,270, 63.6%), intermediate(n = 220, 11.0%) and CHHF(n = 508, 25.4%) group according to the thermal sensitivity questionnaire. Sasang constitution was diagnosed by Korea Sasang Constitutional Diagnostic Questionnaire(KS-15). One-way ANOVA and the chi-square test were used for participants' general characteristics and thermal sensitivity and MetS related factors. ANCOVA and logistic regression were used to compare the differences and the odds ratios(ORs) for MetS and its components. Results The MetS and CHHF prevalence rates of the Taeeumin, Soeumin, and Soyangin were 27.6%, 3.8%, 7.7%, and 18.3%, 42.3%, 26.4% respectively. The ANCOVA for MetS components showed that the waist circumference was significantly lower in the CHHF group as compared to the non-CHHF group in total and Soyangin. The logistic regression for MetS prevalence showed that CHHF had a significant inverse association in total(OR = 0.611) and Taeeumin(OR = 0.521). Conclusions The MetS prevalence had the highest in Taeeumin, followed by Soyangin and Soeumin, while the prevalence of CHHF was highest in Soeumin, followed by Soyangin and Taeeumin. In addition, it was confirmed that CHHF and MetS had an inverse association independently.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.1
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• pp.89-98
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• 2023

Objectives : This study collected sleep information by wearable device in the Korean medicine Daejeon citizen cohort (KDCC). It was measured based on the sleep record information measured by wearing a Fitbit, and the possibility of clinical use was examined for compliance with objective sleep collection. Based on compliance, the possibility of clinical use was examined. Methods : After surveying personal information and PSQI(Pittsburgh Sleep Quality Index), sleep information was collected by Fitbit for 14 days. Compliance was measured based on sleep record information by Fitbit. Compliance was analyzed by sex, age, BMI(Body Mass Index), and sleep group(deep/poor). Results : The number of participants was 730, and the compliance was 94.3%, and the compliance group was 675(92.5%). The age of the participants varied from 30 to 60 years old, and the average age was 46±6.7 years. There were 218 males and 512 females. Young people have high compliance. Males are more compliance than females. As the BMI score decreased in the 30s, the compliance was higher. The underweight group in all age groups had 100 compliance. The underweight group was all female. The low compliance groups were that 30 years males (obesity level2), 50 years females (overweight group), and 50 years females (obesity level2). There was no significant difference in compliance between deep sleep group and poor sleep group. In deep sleep group, females showed higher compliance. In poor sleep group, males showed higher compliance. The average duration of Fitbit usage among participants was 20.1 days. The compliant group wore the device for an average of 21.3 days, while the non-compliant group wore it for only 5.2 days. Of the compliant group, 86.9% (73.8% of all participants) continued to wear the Fitbit after the recommended 14-day period, and 50.8% wore it for more than 20 days. Conclusions : This study showed the possibility of adaptation for wearing a Fitbit for collecting objective sleep information. It is judged that the compliance is high because it was worn for more than 13.2 days out of the 14 days required. It is considered meaningful because the compliance was measured based on the sleep information by Fitbit, not the questionnaire. As the data on objective sleep time is collected automatically, we believe that the burden on participants after the study period is not significant for a certain period. Compliance may be even higher for cohorts related to illnesses and with doctor's orders, rather than for the general population.