A brief overview of general topics of language-words as the tools for recognition, words to label phenomena, and words to convey concepts-was initially presented. Then the major issues concerning language for nursing science were discussed, focused on four issues: 1) characteristics of technical terms, 2) the nature and problem of loan words, 3) a trend of language used in nursing society in our country, and 4) ICN project on international classification for nursing practice.
Three future tasks were suggested from these discussions. First, we must try to put our daily nursing activities into words. It could be allowed to create new words when needed. If the word is truly needed, then it will become generally accepted after a while. Second, we should not hesitate to use loan words related to nursing. Learning the cultural background of these words and making them root deeply into our culture will be more productive. Third, we need to conceptualize nursing phenomena in terms of clients' personal experiences or their realities. In other words,we need to give clear and comprehensible expressions to what they are experiencing.

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The Focus was on stroke patients who returned home and their communities. 94 hemiplegia cases in rehabilitation units of acute care general hospitals were studied to identify factors affecting a return home six months after discharge. Logistic Regression Analysis was used. The main results were as follows:
1. Those, who satisfied with following four factors, had remarkable possibility of stroke patients to return home six months after discharge; firstly, aged 69 years or younger; secondarily, had 3 or more family members; thirdly, had higher Barthel scores; and fourthly, had a shorter length of hospitalization.
2. Those, who had higher Barthel scores, had a possibility to return home, even if they live alone and were not satisfied with all four factors.
3. In addition, there was also the possibility for some to return home when aged 69 years or younger and had a shorter length of hospitalization as factors affecting ADL, even though they had lower discharge Barthel scores.

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Concerning kidney transplant today, the quality of life (QOL) after transplant is intensively focused on as well as patients survival or graft survival. The purpose of this study is to test a QOL causal model of kidney post-transplant recipients. Based on conceptual framework for study, the QOL causal model was constructed.
The subjects were 210 kidney post-transplant recipients aged 20 or more who agreed to participate in this study. They were the cases from four hospitals in Kanto area and Nagoya city. The data was collected by a questionnaire and an interview, and from medical records. The questionnaire consisted of self-concept, social support, uncertainty, physical state, coping, quality of life, and demographic and medical characteristics such as age, sex, marital status, time since the transplant. In interview, performance status was evaluated using a structured guide. The QOL causal model for data analysis was subjected to covariance structure analysis.
The results were as follows:(1) The QOL causal model showed that the Goodness of Fit Index (GFI) was high and that some path coefficients were statistically significant (p<0.05), thus establishing the validity of the assumed model.(2) Self -concept, social support, uncertainty, and physical state were related to coping.(3) Coping was related to QOL.(4) Self-concept and social support had a direct path to QOL.(5) The worse examination data was, the more QOL decreased. Therefore, the results of this study appears to be a quite promising cue to the care of the kidney transplant recipients.

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Preventive health behaviors of inhabitants in Ojika island, Nagasaki and Sagamihara city, Kanagawa were analyzed to determine if regional differences exist by adapting Munakata's Preventive Health Behaivior's Model. Information on the degree of practice of health behaviors, 5 factors affecting the practice of health behaviors (priority of health behavior, awareness of health norm, vulnerability to illness, emotional support network, subjective well-being) and dietary habits were obtained by a survey of 122 persons in Ojika and 149 persons in Sagamihara.
People living in Ojika island, especially those under 50 years of age or having ordinary work, had better health behaviors than those in Sagamihara. Multiple regression analysis revealed that the abovementioned 5 factors accounted for about 30% of the health behaviors score variation in Ojika island, but only about 10% of that in Sagamihara. People in Ojika, who had high subjective well-being and gave good health behavior priority, practiced the preventive health behavior well. In particular, the inhabitants in Ojika island felt good subjective well-being in close relationships with their neighbors and practiced good health behavior in preference to their ordinary work.

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