The purpose of this study was to analyze womens' health problems using Green & Kreuter's 1991 PRECEDE model and to develop a model for a womens' health care center located in the community. The subjects were recruited from Wonju City. 1. The results showed that 23% of the sample population felt there was a need for a womens' health care center. The mean number of health problems was 3.1. The prevalence rate, was 44.4%, and the rate for an artificial abortion, was 36.4%. Also 30.5% did not have a health examination in the past year. Women using the hospital for medical care accounted for 45% of the sample, while 40% used the drugstore. The average score on the HPLP was 2.41, and this was influenced by self-efficacy, family support, sexual role, and health locus of control. There are a few educational programs in the city provided by the Wonju Health Center and by community health nurse practitioners. 2. The nursing center, as defined in North America, is a nurse-anchored system of primary health care delivery or neighborhood health center. Centers offer various services ranging from primary care to the more traditional such as education, health promotion, wellness screening, and coordination of services by advanced practice nurses. For examples in Sweden MCH centers provide total services for childbearing women and their families, sexual counseling and education for adolescents, and screening by midwives for cervical cancer. 3. The developed model combines purpose, target population, organization, and services, and is related to health resources. The purpose is primary health care and promotion of the quality of life. The target population can be grouped according to the life cycle, (premarriaged age group, the childbearing/child rearing age group, and middle aged and elderly women) and focuses on self-help. The organization of the center includes an advisory committee to plan and evaluate, and a health services team that will be multidisciplinary to provide health care, counseling education, and research. The model development suggested that a variety of women's health care centers are needed to insure adequate management of women's health. Follow-up research using PROCEED is needed to analyze health outcomes. Also a health nursing specialist system is required to develop health promotion, and improve the quality of life of women.

Promoting women's health lifestyles are important due to their connection to family health. The purpose of this study was to analyse women's health lifestyles(HLP) and their effects on women's life-cycle, so in order to develop a program in a women's health care center. The subjects included were 1080 women over 18 years old living in Wonju city, and were selected by stratified and purposive sampling. The data were collected through a questionnaire and interview. The Cronbach alpha, %, mean, ANOVA, Pearson's correlation, and regression in SPSS PC Win. package was used to analyze the data. The sample was sepernted into three groups premarital group 20.2%(premarital women between 18 and 40 years old), delivery and children rearing group 49.9%(marital women between 18 and 40 years old), over middle agedelderly group 29.9%(women over 41 years old). Significant difference were found in the HPL according to group. Also, relating variables, such as self-efficacy, family functions, health locus of control and gender role perception that were considered relating variables to HPL significantly differed among the tree groups. HLP significantly correlated with self-efficacy, family functions, HLOC and gender role perception in all participants and at all groups. The regression analysis of HPL was interpreted 40.6% with relating variables, self-efficacy, health attention, family functions, and internal locus of control, health perception, power other locus of control and chance locus of control in all participant. Self-efficacy, family functions, health attention were considered important variables in premarital group, self-efficacy, family functions, internal locus of control, health attention, health perception and power of control were important in delivery-rearing group. Self-efficacy, health attention, internal locus of control, family functions and health perception were important in middle aged-elderly group. As a result, we found the differences HPL scores and relating variables according to life-cycle groups. Therefore, we should prepare health promoting education programs for women according to women's life cycles. Also we suggest that women's health care centers based on communities was needed for proper management of women's health.

PURPOSE: This study aimed at exploring relationships among Internet addiction, smoking, and drinking and examining the effect factors on Internet addiction, smoking and drinking. METHODS: By using stratified sampling, 1,529 participants representing high school students in the Kangwon province were selected. Data was analyzed by SPSS 12.0. using chi-square, Pearson correlation coefficient and multiple regression. RESULTS: One-fifth of the total participants were at the mild or moderate stage of Internet addiction. Regarding smoking, 22.7% of male subjects and 4.5% of female subjects were current smokers. Regarding drinking, the percentages of subjects who drank alcohol once or twice per month were 53.5% of male students and 40.7% of female students. Internet addiction positively correlated with depression, novelty seeking, harm avoidance and reward dependence, Internet addiction negatively correlated with persistence, self-directness, cooperativeness, and self-transcendence. Significant factors affecting Internet addiction were depression, gender, novelty seeking, and self-transcendence. Important factors influencing smoking were drinking, gender, school type, satisfaction with school, novelty seeking, and reward dependence. Significant factors affecting drinking were smoking, novelty seeking, school type and ages. CONCLUSION: This study shows the necessity of developing and implementing effective intervention programs in order to prevent adolescents from experiencing Internet addiction and health risk behaviors.