[논문]빅 데이터 분석을 활용한 대사증후군 위험요인에 관한 메타분석

유옥경; 차연수; 진찬용; 김도관; 남수태

doi:10.6109/jkiice.2015.19.11.2590

초록
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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.

Abstract ▼ AI-Helper

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 metaboli...

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.

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문제 정의

This study will find meaningful mediator variables for criterion variables that affect between pre and post in metabolic syndrome risk factors, on the basis of the results of a meta analysis. We reviewed a total of 36 studies related metabolic syndrome risk factors published in Korean journals between 2005 and 2015, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study.

제안 방법

This study reanalyzed the research papers with the purpose to classify the results of the previous studies[16] which causal relationships between pre and post of waist circumference, blood pressure, fasting blood glucose, triglycerides, and fasting high density lipoprotein cholesterol in the designed metabolic syndrome risk factors published Korean academic journals during 2005 and 2015. Based on information from these literature reviews, paths presented in the conceptual model in this study are converted to values of average effect size by using calibrated inverse variance weighting values and a random-effects model, as shown in Table 3. After considering the meta-analysis results in detail, first, we concluded that the path between pre and post of the waist circumference had the largest effect size of (r = .
The null hypothesis for the statistical homogeneity test is that there is no difference in the estimated effect sizes of the individual study results. Therefore, if the null hypothesis is proved, we can perform a meta analysis to obtain estimates of the overall effect size by incorporating effect size estimates. The interpretation of the homogeneity test is based on a chi-square distribution of the test statistic, Q value, since the Q value is equal to the chi-square distribution [13,14].
This study reanalyzed the research papers with the purpose to classify the results of the previous studies[16] which causal relationships between pre and post of waist circumference, blood pressure, fasting blood glucose, triglycerides, and fasting high density lipoprotein cholesterol in the designed metabolic syndrome risk factors published Korean academic journals during 2005 and 2015. Based on information from these literature reviews, paths presented in the conceptual model in this study are converted to values of average effect size by using calibrated inverse variance weighting values and a random-effects model, as shown in Table 3.

대상 데이터

The papers included in this study meta analysis were identified using keywords that are “Metabolic syndrome Exercise”, specifying on RISS, DBpia, eArticle in database articles of social science. A total of 483 research papers was found, consisting of 305 papers from RISS, 98 papers from DBpia and 80 papers from eArticle through the search.
The papers included in this study meta analysis were identified using keywords that are “Metabolic syndrome Exercise”, specifying on RISS, DBpia, eArticle in database articles of social science.
This study filtered research papers published in Korean academic journals with the study criteria and then targeted a total of 36 papers for this study purpose. The following Table 1 is the list of authors and types used the raw data for the meta analysis.

성능/효과

234), the effect of the mediator exercise showed the lowest than the others metabolic syndrome risk factors. In conclusion, even though we failed to perform comparative analyses with other variables presented in the conceptual model in this study but not studied in previous meta analysis studies, the result of the study is significant in that we can estimate effect sizes on the basis of paths. We expect that the results of by this study would be touchstones to researchers in similar studies.

참고문헌 (16)

S. H. Kim, O. K. Yu, M. S. Byun, Y. S. Cha and T. S. Park, "Effects of Weight Management Program for Middle Aged Women with Metabolic Syndrome Risk Factors," The Korean Journal of Obesity, vol. 23, no. 2, pp. 106-115, 2014.

상세보기
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상세보기
E. Kim and S. W. Oh, "Gender differences in the association of occupation with metabolic syndrome in Korean adults," The Korean Journal of Obesity, vol. 21, no. 2, pp. 108-114, 2012.

상세보기
A. S. Gami, B. J. Witt, D. E. Howard, P. J. Erwin, L. A. Gami and V. K. Somers, "Metabolic syndrome and risk of incident cardiovascular events and death: A systematic review and meta-analysis of longitudinal studies," Journal of the American College of Cardiology, vol. 49, no. 4, pp. 403-414, 2007.

상세보기
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상세보기
L. V. Hedges and W. Stock, "The Effects of Class Size: An Exzmination of Rival Hypotheses," American Education Res. Journal, vol. 20. no. 1, pp. 63-85, 1983.

상세보기
J. Cohen, Statistical Power Analysis for the Behavioral Sciences(Revised Edition), New York: Academic Press, 1977.
S. S. Oh, Meta-analysis : Theory and Practice, Konkuk University Publication, 2009.
R. G. Orwin, "A fail-safe N for Effect Size," Journal of Educational Statistics, vol. 8, no. 2, pp. 157-159, 1983.
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S. T. Nam, C. Y. Jin and J. S. Sim, "A Meta-analysis of the Relationship between Mediator Factors and Purchasing Intention in E-commerce Studies," Journal Information Communication Convergence Engineering, vol. 12, no. 4, pp. 257-262, 2014.

원문보기 상세보기

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

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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 원문보기

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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 원문보기

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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 원문보기

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