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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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논문 기본 정보

Type
Academic journal
Author
Ok-kyeong Yu (Chonbuk National University) Youn-soo Cha (Chonbuk National University) Chan-yong Jin (Wonkwang University) Do-goan Kim (Wonkwang University) Soo-tai Nam (Wonkwang University)
Journal
The Korea Institute of Information and Communication Engineering Journal of the Korea Institute of Information and Communication Engineering Vol.19 No.11 KCI Accredited Journals
Published
2015.11
Pages
2,590 - 2,596 (7page)

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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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Abstract· Keywords

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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 = .420). The second biggest effect size (r = -.402) was found the path between pre and post in the high density lipoprotein cholesterol. By the way, one the smallest effect size (r = .234) was obtained the path between pre and post in the diastolic blood pressure. Thus, we present the theoretical and practical implications of these results.

Contents

요약
ABSTRACT
Ⅰ. INTRODUCTION
Ⅱ. RESEARCH METHODS
Ⅲ. META ANALYSIS
Ⅳ. CONCLUSION and DISCUSSIONS
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UCI(KEPA) : I410-ECN-0101-2016-559-001987763