In order to analyze the pattern in the geographical distribution of cancer death in 24 countries of the void, correlation coeffcients were calculated between pairs of mortality rates of different cancer sites, ing the data for 13 sites in males and 14 sites in females over 18 years from 1950 to 1967. Then factor analysis by means of varimax method was performed on 13 x 13 correlation matrix for males, 14 x 14 correlation matrix for females and 27 x 27 correlation matrix for males and females combined.As a result of factor analysis, three factors are extracted, which are commonly recognized in both males and females. The first factor has high positive factor loadings on pancreas, prostate (for males), skin, and intesine cancers, and negative loadings on stomach and lver cancers. The second factor has high positive factor loings on rectum, intestine, and lung cancers, and the third factor on larynx, oral, and esophagus cancers. Factor analysis based on 27 x 27 correlation matrix revealed that the third factor of both sexes are heterogeneous with regards to the distributions of the factor score.In order that we may find some clues to develop an etiological hypothesis for each site of cancer, we obtained the correlation coeffcient between the scores of the extracted factors and the variables on food and environmental agent, and performed stepwise regression methods as well. One of the most striking results we obtained was that excessive drinking of alcohol and the lack of appropriate intake of fruit are suspected as etiological promoters in the pathogenesis of oral, esophagus, and larynx cancers in males.

Countertransference is an important dimension of the therapeutic alliance between care providers and patients. The Feeling Checklist (FC) is a self-report questionnaire for the assessment of countertransference by hospital staff toward patients. The FC was translated from English into Japanese and its factor structure, reliability, and validity in the Japanese version (FC-J) were examined. A total of 281 Japanese psychiatric nurses were tested with the FC-J. All nurses were primarily involved in provision of psychiatric care. Principal-component factor analysis with varimax rotation was performed to identify the potential components of the FC-J. In a factor analysis of the FC-J, seven factors were extracted. The five subscales that were determined and labeled included Reject, Distance, Helpfulness, Closeness, and Involvement, which collectively accounted for 56.0% of the variance. Cronbach's alpha, a measure of internal consistency, for individual subscales was 0.833 for Reject, 0.763 for Distance, 0.768 for Helpfulness, 0.617 for Closeness, and 0.663 for Involvement. Notably, there was a significant correlation between the FC-J and the Nurse Attitude Scale (P < 0.0001). Moreover, one-way anova was performed with each FC-J subscale to examine differences among psychiatric diagnoses in the study sample. A significant difference was found for Involvement (P < 0.001), with the total score on Involvement being the highest in the personality disorder group. These results are considered to verify the reliability and validity of the FC-J as a scale to measure countertransference among Japanese care providers. The use of this scale allows individual care providers to recognize and be cognizant of their own countertransference objectively and thereby contributes to improve the relationship between patients and care providers.

In order to analyze the pattern in the geographical distribution of cancer death in 24 countries of the world, correlation coefficients were calculated between pairs of mortality rates of different cancer sites, using the data for 13 sites in males and 14 sites in females over 18 years from 1950 to 1967. Then factor analysis by means of varimax method was performed on 13 x 13 correlation matrix for males, 14 x 14 correlation matrix for females and 27 x 27 correlation matrix for males and females combined. As a result of factor analysis, three factors are extracted, which are commonly recognized in both males and females. The first factor has high positive factor loadings on pancreas, prostate (for males), skin, and intestine cancers, and negative loadings on stomach and liver cancers. The second factor has high positive factor loading on rectum, intestine, and lung cancers, and the third factor on larynx, oral, and esophagus cancers. Factor analysis based on 27 x 27 correlation matrix revealed that the third factor of both sexes are heterogeneous with regards to the distributions of the factor score. In order that we may find some clues to develop an etiological hypothesis for each site of cancer, we obtained the correlation coefficient between the scores of the extracted factors and the variables on food and environmental agent, and performed stepwise regression methods as well. One of the most striking results we obtained was that excessive drinking of alcohol and the lack of appropriate intake of fruit are suspected as etiological promoters in the pathogenesis of oral, esophagus, and larynx cancers in males.

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