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빅 데이터 분석을 활용한 대사증후군 위험요인에 관한 메타분석

A Meta-analysis of Influencing Mediator Athletics on the Metabolic Syndrome Risk Factors Utilized Big Data Analysis

  • Yu, Ok-kyeong (Obesity Research Center(Agrobio Food R & D Institute), Chonbuk National University) ;
  • Cha, Youn-soo (Obesity Research Center(Agrobio Food R & D Institute), Chonbuk National University) ;
  • Jin, Chan-yong (Div. of Information EC(Institute of Convergence and Creativity), Wonkwang University) ;
  • Kim, Do-goan (Div. of Information EC(Institute of Convergence and Creativity), Wonkwang University) ;
  • Nam, Soo-tai (Div. of Information EC(Institute of Convergence and Creativity), Wonkwang University)
  • 투고 : 2015.10.02
  • 심사 : 2015.11.09
  • 발행 : 2015.11.30

초록

메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 기회를 제공하는 통계적 통합 방법이다. 우리나라 학술지에 게재된 대사증후군 위험요인에 관한 연구들을 계량적으로 통합하고 검토해보기 위해 진행하였다. 본 연구는 대사증후군에 대한 문헌적 고찰을 통해 선행연구를 살펴보고 열거된 요인에 관한 실증 분석된 연구들을 메타분석 하기 위해 2000년-2015년 국내 학술지에 게재된 36편 논문을 연구대상으로 하였다. 메타분석 결과 허리둘레 사전 사후 경로에서 가장 큰 효과 크기(r = .420)인 것으로 나타났다. 두 번째 큰 효과 크기는 고밀도지단백콜레스테롤 사전 사후 경로(r = -.402)인 것으로 나타났다. 그런데 이완기 혈압 사전 사후 경로가 가장 작은효과 크기(r = .234)인 값을 확인할 수 있었다. 따라서 연구결과를 바탕으로 학문적 실무적 의의를 논의하였다.

참고문헌

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피인용 문헌

  1. A Meta-Analysis of Influencing Soybean Food Interventions on the Metabolic Syndrome Risk Factors Utilizing Big Data vol.20, pp.6, 2016, https://doi.org/10.6109/jkiice.2016.20.6.1074