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A Meta-analysis of Influencing Mediator Athletics on the Metabolic Syndrome Risk Factors Utilized Big Data Analysis
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A Meta-analysis of Influencing Mediator Athletics on the Metabolic Syndrome Risk Factors Utilized Big Data Analysis
Yu, Ok-kyeong; Cha, Youn-soo; Jin, Chan-yong; Kim, Do-goan; Nam, Soo-tai;
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A meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. This study will find meaningful mediator variables for criterion variables that affects between pre and post in the metabolic syndrome studies, on the basis of the results of a meta analysis. We reviewed a total of 36 studies related the metabolic syndrome published in Korean journals between 2000 and 2015, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. In this meta-analysis, the path between pre and post in the waist circumference showed the biggest effect size (r
Big data;Meta analysis;Metabolic syndrome;Obesity;Diet;
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빅데이터 분석을 활용한 콩 식품 중재가 대사증후군 위험요인에 미치는 영향 메타분석,진찬용;유옥경;남수태;

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