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http://dx.doi.org/10.6109/jkiice.2015.19.11.2590

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)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.11, 2015 , pp. 2590-2596 More about this Journal
Abstract
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.
Keywords
Big data; Meta analysis; Metabolic syndrome; Obesity; Diet;
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Times Cited By KSCI : 2  (Citation Analysis)
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