This study was designed to determine prediction equations of body density (BD) for athletes using anthropometric variables and to examine validity of the prediction equations. The subjects were 211 male and 198 female athletes aged 18 to 22 years. The subjects were measured for standing height, body weight, skinfold thickness, girth as well as body composition. Body composition was estimated from densitometry using underwater weighing method and pulmonary residual volume measurement. Skinfold thickness was measured at 9 sites on the right side of the body with an Eiken-type ski nfold caliper and 7 measures of girth were taken using a cloth tape. All measurements were done three times from April to October : pre-, mid- and post-competitive season, in order to find out a suitable site reflecting body composition change. Using multiple regression analysis, equations to estimate BD were obtained from standing height, body weight, skinfold thicknesses and girths. The effective prediction equations for BD were as follows : For Males
ED=1.11104-0.00053 (sum of chest, abdomen and quadriceps skinfold thicknesses in mm) -0.00027 (waist girth in cm) .
R=0.851, SEE=0.0051.
For Females
BD=1.11861-0.00054 (sum of abdomen, triceps and subscapula skinfold thicknesses in mm) -0.00054 (waist girth in cm) .
R=0.826, SEE=0.0062.
A cross-validation analysis of these prediction equations for BD correlated highly with hydrodensitometrically determined BD (r=0.832, SEE=0.0053 for males and r=0.812, SEE= 0.0062 for females) . Thus the prediction equations developed in the present study will be applicable to athletes.

We analyzed the student self-assessment on education in cardiology using a questionnaire.
Subjects: Ninety-six 5th-year students at Saga Medical School who have completed the lectures and bedside teaching were evaluated.
Methods: A questionnaire survey of 14 topics in cardiology was performed at the finish of 3 weeks of bedside teachings. Self-assessment was categorized into 4 grades; 1) completely understood (3 points), 2) almost completely understood (2 points), 3) could be understood (1 point), and 4) could not be understood (0 point). Self-assessment scores were calculated for each topic in cardiology.
Results: Questionnaires were returned by 88 students (91.7%). Self-assessment scores were high for myocardial infarction, angina pectoris, and electrocardiogram reading. Scores were low for primary care, vascular diseases, and pericardial disease. Self-assessment scores did not significantly correlate with the length of lectures but did correlate with the number of admitted patients (r= 0.93) and scores on achievement tests (r= 0.43) in each topic.
Conclusions: Because students observed many patients with myocardial infarction and angina pectoris during bedside teaching, the self-assessment scores were high. Bedside teaching is important for medical students to understand topics in cardiology.

Objective To examine whether tyrosine hydroxylase (TH) and aromatic L-amino acid decarboxylase (AADC) genes can be cotransduced into the same target striatal cells using adeno-associated virus (AAV) vectors, and to determine whether the cotransduction would result in better biochemical change than the TH gene alone.Methods TH and AADC genes were cotransduced into cultured striatal cells with separate AAV vectors. Expressions of TH and AADC were detected by immunocytochemistry; intracellular catecholamine levels were assayed by high-performance liquid chromatography (HPLC).Results TH and AADC genes were efficiently cotransduced into the striatal cells. Specifically, the coexpression of TH and AADC resulted in more effective dopamine production compared with the TH gene alone.Conclusion Using AAV vectors, coexpression of TH and AADC in the striatal cells might be a useful approach to gene therapy for Parkinson's disease.