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      β-Carotene과 알코올을 섭취한 쥐의 혈액 성분변화의 상관관계 = Correlation between the changes of blood components in β-Carotene and alcohol-administrated rats

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      https://www.riss.kr/link?id=A341381

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      다국어 초록 (Multilingual Abstract)

      The study was carried out to investigate the effects of dietary carotenids and β-carotene on the hematological changes caused by alcohol administration into the rats. The results were analyzed using several statistical methods; SPSS computer program for measuring the mean values and standard deviations, one way ANOVA for the test of significance, Duncan method for post HOC multiple comparison, and Pearson method for measuring the correlation coefficient. The following are the conclusion from those statistical analysis.
      1. ALB and TB were shown to have the most significant correlation among the blood compositions f개m the basic dietary groups.
      2. BUN and CHO were shown to have the most positive correlation among those from the carrot-fed groups.
      3. CA and AG were shown positively correlated, and CHO and IP negatively correlated, respectively among those from the cheese-fed groups.
      4. AP was shown positively correlated among those from the alcohol-administrated groups.
      5. CHO, CA and BUN were shown positively correlated, and CA was negatively correlated among those from the β-Carotene -fed groups.
      6. TB and TP were not affected by the correlations between the blood composition from all the experimental groups.
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      The study was carried out to investigate the effects of dietary carotenids and β-carotene on the hematological changes caused by alcohol administration into the rats. The results were analyzed using several statistical methods; SPSS computer program ...

      The study was carried out to investigate the effects of dietary carotenids and β-carotene on the hematological changes caused by alcohol administration into the rats. The results were analyzed using several statistical methods; SPSS computer program for measuring the mean values and standard deviations, one way ANOVA for the test of significance, Duncan method for post HOC multiple comparison, and Pearson method for measuring the correlation coefficient. The following are the conclusion from those statistical analysis.
      1. ALB and TB were shown to have the most significant correlation among the blood compositions f개m the basic dietary groups.
      2. BUN and CHO were shown to have the most positive correlation among those from the carrot-fed groups.
      3. CA and AG were shown positively correlated, and CHO and IP negatively correlated, respectively among those from the cheese-fed groups.
      4. AP was shown positively correlated among those from the alcohol-administrated groups.
      5. CHO, CA and BUN were shown positively correlated, and CA was negatively correlated among those from the β-Carotene -fed groups.
      6. TB and TP were not affected by the correlations between the blood composition from all the experimental groups.

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