• Title/Summary/Keyword: 헤지의 표준화된 평균차

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The anti-diabetic effect of propolis using Hedges' standardized mean difference (헤지의 표준화된 평균차를 이용한 프로폴리스의 항-당뇨 효과)

  • Kim, Mi-Jin;Choi, Ki-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.447-459
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    • 2010
  • The present study was carried out to summarize the effect of propolis in the diabetic rats by meta-analysis related studies. The association measure to test effect of propolis was Hedges's standardized mean difference between group of rats induced streptozotocin(STZ) or alloxan and group of rats induced STZ or alloxan treated with propolis about the considered 4 effect factors. In this particular fixed-effect model, blood glucose, Cholesterol, Triglyceride were significantly reduce. The case of heterogenous variable such as body weight, blood glucose, cholesterol, triglyceride, random-effect model was applied. In this model, blood glucose, triglyceride were decreased significantly in propolis treated group. According to the meta-regression analysis, period of injection was significant for body weight and blood glucose, cholesterol.

Meta-regression analysis for anti-diabetic effect of green tea (녹차의 항-당뇨 효과에 대한 메타회귀분석)

  • Yun, A-Reum;Choi, Ki-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.4
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    • pp.717-726
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    • 2011
  • The present study was carried out to summarize the effect of green tea in the diabetic rats by meta-analysis related studies. The association measure to test effect of green tea was Hedges' standardized mean difference. In this particular fixed effect model, body weight was significantly increased. Also, blood glucose, triglycerides were significantly decreased. In this case of heterogeneous variable, random effect model was applied. In this model, body weight was significantly increased. Also, blood glucose was significantly decreased in green tea treated group. According to the Meta-regression analysis, duration of injection was not significant for variables.

Lipid metabolic effects of caffeine using meta-analysis (메타분석을 이용한 카페인의 지질대사효과)

  • Kim, Na-Jung;Choi, Ki-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.4
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    • pp.649-656
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    • 2012
  • The present study was carried out to summarize the effect of caffeine in the lipid metabolic by meta-analysis. The association measure to test effect of caffeine was the Hedges's standardized mean difference (HG). In this particular fixed-effect model of Hedges's standardized mean difference, weight gain, heart weight, serum total lipid, serum triglycerides and liver triglycerides were significantly decreased (p < 0.05). Also, serum HDL cholesterol and serum LDL cholesterol were significantly increased. In this case of heterogeneous variable, random effect model was applied. In this model, weight gain, heart weight, serum total lipid, serum triglycerides, serum LDL cholesterol and liver triglycerides were significantly decreased in caffeine treated group. Also HDL-cholesterol was significantly increased in caffeine treated group.

A meta analysis for anti-hyperlipidemia effect of soybeans (메타분석을 이용한 대두의 항-고지혈 효과)

  • Kim, Ji-Eun;Choi, Ki-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.651-667
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    • 2010
  • In this paper, using a meta analysis of anti-hyperlipidemia effect of soybeans were studied. Studied the effects of soybeans using Hedges' standardized mean difference looked at the effect. Applying the fixed-effects model analysis of fecal cholesterol and total cholesterol and triglycerides showed a statistically significant reduction in HDL cholesterol increase was statistically significant at. In addition, the homogeneity of all variables by running the test did not meet the homogeneity of the kidney weight, between weight, HDL cholesterol, LDL cholesterol, total cholesterol, and triglycerides in the random effects model against the results of the analysis conducted by a statistically significant variable that did not.