The purpose of this study was to investigate the validity of the postexercise heart rate (HR) as a means of estimating the HR during exercise. The subjects were 24 collegiate women who were not currently involved regular physical activity. HR was recorded during and following exercises performed at an intensity of 40, 50, 60, or 70% maximal oxygen uptake. The 4 methods of estimating exercise HR were done by measuring postexercise HR for: (1) 6 sec and multiplied by 10, (2) 10 sec and multiplied by 6, (3) 15 sec and multiplied by 4, and (4) 15 sec and multiplied by 4 and plus 10 (15+10-Method) . The results showed that the 15+10-Method estimated the exercise HR most accurately among these 4 methods.

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In checkup center, tumor markers are measured in subjects most of whom are free of cancer. The accuracy and stability of assay kits of tumor markers can be estimated by studying monthly changes of the averages and the positive rates of tumor markers. We have analyzed tumor marker data from clients who visited our center from Sep. 2000 to Aug. 2002 (n=8, 316) . PSA was measured in male clients over 50 years old, and CA125 was assayed in female clients. Clients who had apparent cancer were excluded in this study.
The average values (positive rates) of CEA, AFP, CYFRA21-1, PSA, CA19-9 and CA125 were 2.1ng/ml (4.5%), 4.2 ng/ml (2.5 %), 0.9ng/ml (6.5%), 1.2 ng/ml (3.8%), 5.8 U/ml (0.76%) and 11.0 U/ml (2.1%), respectively. All tumor markers showed monthly change in the average. Alterations of positive rates were observed in CEA, CYFRA21-1 and CA19-9. The average and the positive rate of CEA were slightly high in July 2001, which was apparently due to malfunction of assay apparatus. The average and the positive rate of CYFRA21-1 showed large consecutive changes with two peaks and one nadir: the average values (positive rates) were 1.0 ng/ml (9.1%), 0.5 ng/ml (0.56%) and 1.2 ng/ml (11%) in Oct. 2000, May 2001 and Feb. 2002, respectively. These alterations were not accompanied by the change of the internal standard. The averages and the positive rates of CA19-9 were decreased by half after Mar. 2002. This decrease was due to poor quality of the particular lots of assay kit. We consider CYFRA21-1 may not be suitable for the use in checkup center. Its average value is close to cutoff value, and small fluctuation of the assay will affect the judgment. Other tumor markers did not show such large alterations as CYFRA21-1.

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We developed the new machine to record the acceleration plethysmograms (APG), and we have been trying the evaluation of the elasticity of the arteries by the score method. The“vascular aging score”is the index, by which we guess how much our blood vessels deviate from the normal aging process. The purpose of this research is to get the relative risk for the arteriosclerosis not by the disease, but by catching the aging change of the artery before disease with APG, and to examine the validity of the APG inspection. We examined 549 people whose ages were from 45 to 64 years old. The prevalence of the high blood pressure in the abnormal score group of APG was higher, and there were more smokers or ex-smokers in the abnormal score group than the normal score group (35.4%, 67.7%) . Furthermore, we examined 247 people who had taken a medical examination 10 years ago as well. The 22.8% of the people who had had high serum triglycerides showed the score abnormality after 10 years, and relative risk was 2.5 times (p<0.05) . The 22.9% of people who had had hearing-decline (at the level of 4, 000 Hz), the 18.6% of obese people, and the 16.8% of smokers or ex smokers showed an abundant tendency of the score abnormality (p<0.1) . The relative risk was 2.2 times, 1.8 times and 2.0 times, respectively. The conclusion from the results is as follows. 1) As for the present high blood pressure person and the present smoker in the ages 45-65, it is often judged an artery elasticity decline in the APG inspection. 2) As for the people of ages 35-55 who have high TG, the hearing decline, obesity and smoking habit, it would have the possibility to be judged an artery elasticity decline after 10 years, in the APG inspection. The APG score method is thought to have validity to the screening and the patient's education and so on. So, this APG method is expected to have some contribution for the prevention of the life-style related disease. The prospective cohort study is required from now on to get a more detailed result.

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To evaluate the satisfaction of people who had periodical health examination at the site of their company, we conducted a questionnaire survey. We sought for normal partial regression coefficients by multiple regression analysis, with the whole satisfaction as dependent variables and factors related to doctor, factors related to examination, and indirect factors (for example, waiting time) as explanatory variables. As a result, factors related to doctor and factors related to examination influenced on the whole satisfaction (p<0.05) . We also conducted nonparametric test (Mann-Whitney test or Kruskal-Wallis test) to find the subject factors affect on the whole satisfaction (for example, sex, age, interview time etc) . As a result, interview time significantly contributed for the satisfaction, namely people who had more than three minutes interview with doctor had significantly higher satisfaction than people who had less than three minutes interview (p<0.05) . Therefore, interview with enough time is very important factor to improve the satisfaction on periodical health examination at worksite.

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Various opinions exist regarding the relationship between bone mineral density and body mass index (BMI) and that between bone mineral density and body fat ratio. Currently, however, there is no established theory on these relationships. Therefore, we set out to investigate these relationships through analyses of data from participants who underwent medical examinations and bone mineral analyses at our human dry dock center. We began by analyzing the relationship between BMI and body fat ratio and came to the conclusion that there is a close positive correlation between BMI and body fat ratio. We then analyzed the relationship between bone mineral density and BMI and that between bone mineral density and body fat ratio. The results showed that there are no significant relationships between them as a whole, although there are significant relationships in a small portion of the age groups. There is a possibility that the results were influenced by the fact that we employed monovariate analysis, which does not include factors that have an effect on bone mineral density; for example, lifestyle, existence of diseases, muscle volume and so on. In addition, selection biases may have also had an influence on the results-that is to say, the subjects of these analyses were people who were supposed to have a high level of health consciousness and be living a healthy lifestyle. These problems need to be analyzed more carefully in the future through multivariate analysis that takes into consideration lifestyle, diseases, muscle volume and other such factors.

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