초록 ▼

사상체질을 응용한 질병 조기 진단, 치료, 관리툴(“조기질병모델”과 “노화경로분석 모델”)을 개발하여 범국민대상 맞춤의학에 실용화하는 것이다. 구체적으로 1) 체질노화 증례수집, 2) 체질별 대사성질환 상관성 연구, 3) 체질별 노화모델 개발 연구를 위한 아래의 연구가 이루어짐

○ 2단계 1, 2차년도에 4,000명에 대한 증례가 대규모로 수집되어 한국전통의학인 사상체질의학 연구기반을 구축, 3차년도에 1,356명에 대한 재현성 검사를 통해 체질진단의 재현성 확인.
○ 3단계에서는 2단계에서 수집된 4,000명중

사상체질을 응용한 질병 조기 진단, 치료, 관리툴(“조기질병모델”과 “노화경로분석 모델”)을 개발하여 범국민대상 맞춤의학에 실용화하는 것이다. 구체적으로 1) 체질노화 증례수집, 2) 체질별 대사성질환 상관성 연구, 3) 체질별 노화모델 개발 연구를 위한 아래의 연구가 이루어짐

○ 2단계 1, 2차년도에 4,000명에 대한 증례가 대규모로 수집되어 한국전통의학인 사상체질의학 연구기반을 구축, 3차년도에 1,356명에 대한 재현성 검사를 통해 체질진단의 재현성 확인.
○ 3단계에서는 2단계에서 수집된 4,000명중 1차년도 1,000명, 2차년도 1,001명, 3차년도 800명(총 2,801명)에 대하여 체질과 연령에 따른 변화를 연구하기 위해 체질자료 및 생화적 자료들을 수집완료
○ 현재 진행되고 있는 질병관리본부 과제인 안성 지역사회기반 코호트 자료와 접목하여 대사질환과 노화질환 발생에 미치는 병인요인과 노화 경로에 관계된 위험요소들의 관계성을 발생률을 근거로 분석

수집된 증례들을 바탕으로 지역사회 유전체 역학연구 자료와 접목하여 대사질환 및 노화연구에 접목시킨다면 세계적으로도 인정받는 우수한 연구결과 창출할 수 있을 것이다. 또한 사상체질을 현대의학과 접목하여 대사성 만성질환과 노화질환 조기 진단을 통해 체계적인 관리, 치료 및 예방으로 질환으로 인한 사망률을 감소시키는 것은 물론이며, 더 나아가 고령화 시대에서 발생하는 만성질환으로 인한 노인인구에서의 삶의 질 감소에 대한 최소화가 가능할 것이다.

( 출처 : 요약서 3p )

Abstract ▼

IV. Results: We successfully recruited a 4,000 cases to construct Sasang diagnostic tool.
Of 4,000 subjects, 1,356 subjects was re-examined for validity and reliability test examinations.

Of 4,000 subjects who were recruited during the second stage, we successfully follow-up on a total of

IV. Results: We successfully recruited a 4,000 cases to construct Sasang diagnostic tool.
Of 4,000 subjects, 1,356 subjects was re-examined for validity and reliability test examinations.

Of 4,000 subjects who were recruited during the second stage, we successfully follow-up on a total of 2,800 subjects (1,000 at year 1, 1000 at year 2, and 800 at year 3) and collected constitutional and biochemical data to evaluate the changes on the aging and constitutions.

We analyzed the prevalence’s and incidences of metabolic disease. As a result of the prevalence analysis, Taeum has an 8.07 times higher risk for metabolic syndrome (95% C.I 5.73~11.36), 3.61 times higher risk for hypertension (95% C.I 2.64~4.93), 1.62 times higher for cardiovascular disease (95% C.I 1.21~2.18), and 3.27 times higher for diabetes (95% C.I 2.10~5.11), when compared to Soum. In Taeum, incidence of metabolic syndrome was 744(59.1%) which is 4.48 times (95% C.I 3.49~5.74) higher, hypertension was 435 (29.2%) which is 2.33 times (95% C.I 1.75~3.10) higher, and diabetes was 428 (24%) which is 2.12 times (95% C.I 1.57~2.85) when compared to Soum. There are statistically significance differences (p<0.001). Soum is 2.15 times (95% C.I 1.66~2.78) higher for metabolic syndrome, 1.60 times (95% C.I 1.19~2.16) higher for hypertension, and these are statistically significance differences.

The Cox proportional hazard analysis was conducted among the 4 groups (Soum,Soyang, non-obese Taeum, and obese Taeum) to compare and analyze the incidence of diabetes according to SCM. It revealed obese Taeum is 1.75 times higher risk and non-obese Taeum is 1.635 times higher probability when compared to Soum, even after correcting for known diabetes risk factors. We identified Taeum is at a higher risk for diabetes regardless of obesity. In females, the prevalence of cardiovascular disease was higher in Soyang with metabolic syndrome, even after correcting for age, gender, location of residency, living habits and clinical factors.

As a result of the relationships among SCM and osteoporosis in males, SCM was not significantly associated with osteoporosis. In females, osteoporosis was 32.9% in Taeum, 41.7% in Soum and 42.7% in Soyang. Osteoporosis was not statistically different in Soum but Soyang was at 1.86 times (95% C.I 1.38~2.50) higher risk, and 1.82 times (95% C.I 1.16~2.87) higher risk with correcting risk factors, when compared to Taeum. The findings coincided with the Korean Medicine that Soyang has a weak kidney and they are susceptible to osteoporosis diseases which are related to large intestine, genitals, mouth, and cheeks. In males, SCM was not statistically associated with lipsotrichia after correcting for family history, age, waist circumference, HbA1c, HOMA-IR, and β-cell function. In females, Soyang has 0.520 times (95% C.I. 0.285~0.949) lower risk and Taeum was 1.976 times (95% C.I. 1.045~3.737) higher risk in lipsotrichia, when compared to other constitutions.

We identified the causes of disease in accordance with SCM. As a result of the study, waist circumference was the risk factor for the incidence of metabolism syndrome in Taeum, but not in Soum and Soyang. In case of Taeum, waist circumference was the key risk factor in the incidence of metabolism syndrome both in male and female. In Soum, blood pressure and triglyceride were risk factors in the incidence of metabolism syndrome.
In Soyang, blood glucose lipid factors were a risk factor in the incidence of metabolism syndrome. We identified the incidence of metabolism syndrome differs according to gender.
In case of Taeum, blood pressure and fasting blood glucose was higher than other constitutions and maintains high levels throughout the study period. They have high triglyceride and low HDL cholesterol which mean they are also at a high-risk for metabolic and cardiovascular diseases. In case of Soyang, our study result shows they are at lower risk for metabolic and other diseases. and chronic disease. In Soyang, they are high-risk group in cardiovascular disease with high triglyceride and blood pressure and large waist circumference. The Cox proportional hazard analysis was conducted to identify how SCM and metabolic syndrome affect diabetes incidence. The incidence of diabetes was statistically higher in Soum with metabolic syndrome, when compared to the normal group. Especially Taeum, metabolic syndrome was 2.95 (95% C.I.2.13~4.10) times higher risk for the probability of diabetes incidence and Soum was 2.87 (95% C.I.1.35~6.12) times higher risk for the diabetes incidence. We identified the relationships among the neck circumference and diabetes incidence by Quartiles. Quartile (Q3) was 1.50 (95% C.I. 1.02~2.22) times higher, and Quartile (Q4) was 1.63 (95% C.I. 1.07~2.50) times higher risk of diabetes incidence when compared to Quartile (Q1) group with small neck circumference, even after correcting for known risk factors of diabetes.

Taeum with obese is widely known as they are at higher risk for metabolic disease and/or chronic diseases, but we identified the Soum with low muscle mass is also at high risk for diabetes incidence. One of the final goals of this research was to develop chronic diseases including diabetes. We successfully developed the diabetes risk assessment model utilizing SCM. Validity verification of developed models will be assessed by additional validation studies with new projects later.

( 출처 : SUMMARY 7p )

목차 Contents

• 표지 ... 1제 출 문 ... 2보고서 요약서 ... 3요 약 문 ... 4SUMMARY ... 7목차 ... 10제 1장 연구개발과제의 개요 ... 11 제 1절 연구개발의 필요성 ... 11 제 2절 연구개발 목표 및 범위 ... 12제 2장 국내외 기술개발 현황 ... 13제 3장 연구개발 수행 내용 및 결과 ... 14 제 1절 코호트 구축 - 사상체질 관련 항목에 대한 설문과 계측,임상 자료 수집 ... 14 제2절 자료 분석 - 사상체질 진단 증례 수집 결과 ... 21 제 3절 코호트 자료 활용 질병 연구 ... 80 제 4절 질병 예측 모델 ... 124 제 5절 연구 개발 내용 및 결과 정리 ... 131제 4장 목표달성도 및 관련분야에의 기여도 ... 141제 5장 연구개발결과의 활용계획 및 기대성과 ... 142 1. 연구개발결과의 활용계획 ... 142 2. 기대성과 ... 142끝페이지 ... 143