RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      혈당조절 중재 중인 당뇨병 전단계 및 당뇨병 환자의 체질량지수와 식후최대혈당 간의 관계에서 인슐린 저항성, 식사염증지수의 다중가산조절효과

      한글로보기

      https://www.riss.kr/link?id=T16626298

      • 저자
      • 발행사항

        부산: 부경대학교 대학원, 2023

      • 학위논문사항

        학위논문(석사) -- 부경대학교 대학원 , 간호학과 , 2023. 2

      • 발행연도

        2023

      • 작성언어

        한국어

      • KDC

        512 판사항(6)

      • 발행국(도시)

        부산

      • 형태사항

        vii, 66 p.;: 삽화; 26 cm

      • 일반주기명

        부경대학교 논문은 저작권에 의해 보호받습니다.
        지도교수:김명수
        참고문헌

      • UCI식별코드

        I804:21031-200000665984

      • 소장기관
        • 국립부경대학교 도서관 소장기관정보
      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Purpose Postprandial hyperglycemia is a risk factor for metabolic syndrome, diabetes, and cardiovascular disease. It is vital that the level of blood sugar is controlled and the morbidity and complications of other diseases are reduced long-term. Cont...

      Purpose
      Postprandial hyperglycemia is a risk factor for metabolic syndrome, diabetes, and cardiovascular disease. It is vital that the level of blood sugar is controlled and the morbidity and complications of other diseases are reduced long-term. Continuous glucose monitoring can easily detect postprandial hyperglycemia, so appropriate education and nutrient counseling can maximize this advantage. In particular, obese people are likely to have difficulties with glucose metabolism. Previous studies have found that body mass index, insulin resistance, and dietary inflammation index are factors that can increase postprandial glucose. Therefore, this study investigated whether insulin resistance and dietary inflammation index can modulate the relationship between body mass index and peak postprandial glucose.

      Method
      This study used the integrated nutritional data of the project that evaluated the effectiveness of the diabetes management program for prediabetic and type 2 diabetic patients with continuous glucose monitoring. The study gathered 408 dietary data from seventeen patients (breakfast, lunch, or dinner). Each participant had twenty-four meal records; energy-adjusted dietary inflammatory index was calculated according to each meal, and peak postprandial glucose was matched. Insulin resistance was calculated by homeostasis model assessment of insulin resistance (HOMA-IR) and energy-adjusted dietary inflammatory index (E-DII) indicating the inflammatory potential of the overall diet was calculated based on thirty-one nutrition components' pro- and anti-inflammatory properties. Mann-Whitney U tests and Spearman's rank correlation coefficients were used to analyze differences and relationships among study variables. MACRO Process was used to identify multiple additive moderation effects of insulin resistance and dietary inflammatory index on the relationship between body mass index and postprandial glucose.

      Result
      Peak postprandial glucose differed significantly among E-DII subgroups (p<.026). Positive correlations were observed between peak postprandial glucose and insulin resistance (rho=.30, p=<.001), and E-DII (rho=.14, p=.004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak prandial glucose among prediabetic and diabetic patients undergoing glucose control (F=12.22, p<.001); the explanatory power of the model was 21.6%. In the group with a body mass index of less than 30, peak postprandial blood glucose was found to increase as the E-DII and insulin resistance increased. In contrast, in the group with a body mass index of 30 or more, peak postprandial glucose lowered as E-DII increased in all groups with low insulin resistance, the middle and the high groups.

      Conclusion
      Insulin resistance and dietary inflammatory index can modulate the relationship between body mass index and peak postprandial blood glucose. Mixed meals with a low dietary inflammatory index and insulin resistance can significantly reduce postprandial glucose in prediabetic and diabetic patients undergoing glucose control with BMI<30. The findings of this study shed light on the development of a lifestyle intervention program that educates obese people to reduce insulin resistance and dietary inflammatory index, leading to appropriate regulation of glucose levels.

      더보기

      목차 (Table of Contents)

      • Ⅰ. 서론 1
      • 1. 연구의 필요성 1
      • 2. 연구 목적 4
      • 3. 연구 모형 5
      • 4. 용어 정의 6
      • Ⅰ. 서론 1
      • 1. 연구의 필요성 1
      • 2. 연구 목적 4
      • 3. 연구 모형 5
      • 4. 용어 정의 6
      • Ⅱ. 문헌고찰 8
      • 1. 당뇨병, 비만, 연속혈당측정 8
      • 2. 인슐린저항성과 식후혈당 11
      • 3. 식사염증지수와 식후혈당 13
      • Ⅲ. 연구 방법 18
      • 1. 연구 설계 18
      • 2. 연구 대상 18
      • 3. 연구 변수 측정 및 방법 20
      • 4. 자료 분석 방법 23
      • Ⅳ. 연구 결과 24
      • 1. 대상자의 특성 24
      • 2. 식사염증지수에 따른 체질량지수, 인슐린저항성, 식후혈당 비교 26
      • 3. 체질량지수, 인슐린저항성, 식사염증지수, 식후최대혈당의 상관관계 27
      • 4. 체질량지수와 식후최대혈당의 관계에서 인슐린저항성과 식사염증지수의 다중 가산조절효과 28
      • Ⅴ. 논의 33
      • Ⅵ. 결론 및 제언 38
      • 참고문헌 39
      • 부록 62
      • [부록 1] 식사염증지수 염증효과점수 62
      • [부록 2] 식사염증지수에 따른 영양소 섭취량 차이 63
      • [부록 3] 기관생명윤리위원회 심의 결과 통지서 65
      • [부록 4] 논문 유사도 검사 결과 66
      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼