Relationship between serum OCT activity and nutrient intake pattern were investigated in 90 young adults. Applying multiple regression and factor analysis, we found the following results:
1) Multiple regression analysis showed that the variables which correlated best with the serum OCT activity were dietary intakes of the energy, fat and vitamin C.
2) In the factor analysis, no significant correlation was found between serum OCT and food intake pattern.

The purpose of this study is to make clear a comprehensive relationship between serum transaminase activity and food intake pattern. A total of 146 young male student participated in the study.
The results of the survey were as follows:
1) The first factor (Fl) was a“animal-related food factor”. The second factor (F2) was considered to be a“rice versus noodles factor”. The third (F3), fourth (F4), fifth (F5) and sixth (F6) factor could not be explained simply in terms of their factor.
2) Significantly negative correlations were observed between SGOT and the factor scores of Fl (r=-0.256, p<0.01), SGPT and the factor scores of Fl (r=-0.243, p<0.01), and SGPT and factor scores of F2 (r=-0.195, p<0.05), but not between SGOT or SGPT and other factors.

Since the first paper by Milham et al. suggested that occupational exposure to an electromagnetic field (EMF) could increase the risk of adult leukemia, many epidemiological studies on this problem have been published. In this report the method of meta−analysis was used to summarize the results from these papers quantitatively. The combined relative risk of all leukemia (RR=1.11), as well as acute lymphocytic leukemia (RR=1.38), acute myeloid leukemia (RR=1.07) and chronic lymphocytic leukemia (RR=1.14) increased but not significantly. So far, it is difficult to make a consistent conclusion about the relationship of the occupational exposure to EMF and adult leukemia. Further carefully designed case−control and cohort studies using the more valid means of exposure assessment are required.
Leukemia ; Adult ; Risk ; Electromagnetic Fields ; Analysis of substances

Objective: Numerous new drugs have been developed in recent years, making the available types of prescription drugs quite diverse, with increasingly more complex drug interactions.  From an operations support system perspective, hospitals that cannot incorporate a large-scale custom-order system because of financial or use-efficiency limitations have no choice but to rely on commercial products.  However, this leaves many problems unsolved, such as functional restrictions and limited specifications.  In this study, we used Microsoft®Visual Basic®for Application (VBA) to develop an economical drug discrimination system suited to our situation and equipped with original function from the perspective of clinical pharmacists.
Design: System design and development.
Methods: We prototyped the system in VBA and used Microsoft®Excel®to create Query Tables.  The utility of the new system was evaluated based on drug discrimination output and time required in each process.
Results: The new system is capable of inter-database communication and automated data analysis and uses drop-down lists of pre-defined options for data input in many places.  Compared with the conventional method, the new system enabled us to significantly reduce the average time needed to input and confirm data by as much as 61.9%.  This indicates that the new system can considerably reduce the time required for completing time-intensive processes and is also useful in preparing highly precise drug discrimination reports.
Conclusion: Based on the results obtained so far, the new, original system, developed with zero design or development costs, is more efficient and offers more reliable information in the clinical setting than the conventional system.  As a result, we are able to maintain operational quality and reduce the amount of time required for drug discrimination.