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http://dx.doi.org/10.6109/jkiice.2016.20.11.2033

A Meta-Analysis of Influencing Collagen Intake on Skin Utilizing Big Data  

Jin, Chan-Yong (Div. of Information EC (Institute of Convergence and Creativity), Wonkwang University)
Yu, Ok-Kyeong (Obesity Research Center (Agrobio Food R & D Institute), Chonbuk National 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.20, no.11, 2016 , pp. 2033-2038 More about this Journal
Abstract
Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. The important issue of a meta-analysis is not the significance test, the effect size of the predictor variable on the criterion variable. We reviewed a total of 236 samples among 6 studies published on the topic related Collagen intake on skin between 2000 and 2016 in Korea. The results of the study are summarized as follows. First, we concluded that the path between before and after of Sebum (SB) had the largest effect size of (r = .416) Therefore, the effect of the Collagen intake intervention showed an explanatory power of 17 (%) about. Next, the path between before and after of Moisture (MS) had the higher the effect size of (r = .318). Thus, we present the theoretical and practical implications of these results.
Keywords
Big data; Meta-analysis; Collagen intake; Skin; Inner beauty;
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