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A Meta-Analysis of Influencing Dietary Interventions on the Metabolic Syndrome Risk Factors Utilizing Big Data

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.10 No.9 (2016.09)바로가기
  • 페이지
    pp.19-26
  • 저자
    Ok-kyeong Yu, Youn-Soo Cha, Chan-Yong Jin, Soo-Tai Nam
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A284104

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원문정보

초록

영어
Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Meta-analysis is sometimes expressed as an analysis of another analysis. Commonly, factors of metabolic syndrome can be defined as abdominal obesity, high triglycerides, low high density lipoprotein cholesterol, elevated blood pressure, and elevated fasting glucose. This study will find meaningful mediator variables for criterion variables that affect before and after the metabolic syndrome studies, on the basis of the results of a meta-analysis. We reviewed a total of 15 studies related to metabolic syndrome published in Korea between 1998 and 2016, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. The result of this meta-analysis, the path between pre and post in the fasting blood glucose showed the biggest effect size (r = -.669). Therefore, the effect of the dietary intervention for the fasting blood glucose shows an explanatory power of 45%. The second biggest effect size (r = -.302) was found in the path between pre and post in the systolic blood pressure. The third biggest effect size (r = -.264) was reported in the path between pre and post in the triglyceride. Also, one of the smallest effect size (r = -.114) was obtained in the path between pre and post in the diastolic blood pressure. Thus, we present the theoretical and practical implications of these results.

목차

Abstract
 1. Introduction
 2. Research Methodology
 3. Meta-analysis
 4. Results and Conclusions
 References

키워드

Big data Meta-analysis Metabolic syndrome Diet therapy Obesity

저자

  • Ok-kyeong Yu [ Obesity Research Center (Agrobio Food R & D Institute), Chonbuk National University, 561-756, Korea ]
  • Youn-Soo Cha [ Obesity Research Center (Agrobio Food R & D Institute), Chonbuk National University, 561-756, Korea ]
  • Chan-Yong Jin [ Division of Information EC (Institute of Convergence & Creativity), Wonkwang University, 570-749, Korea ]
  • Soo-Tai Nam [ Division of Information EC (Institute of Convergence & Creativity), Wonkwang University, 570-749, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.9

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