OBJECTIVE: For disease prevention and health promotion, it is important that individual health information is managed continuously and can be retrieved easily when necessary. We propose a model for integrated management of diverse individual health information that is generated and managed in heterogeneous Health Information System(HIS)s at hospitals or health centers. METHODS: We use XML and relational database together to represent the health information structurally and manage it flexibly. In order to show the effectiveness of our method, we developed a prototype of Intermediate System for integration and analysed the result. RESULTS: The Intermediate System for integration provides the schema of health information, represents the information in forms of XML strings by the subjects, and stores each XML string as one field of relational database. In each heterogeneous HIS, there is an adaptor that transforms the health information into XML according to the schema. The messages for transmission between each HIS and Intermediate System are represented in XML. CONCLUSION: The experimental study shows that using relational database and XML together provides a flexible, extensible and structured way of representing complex, dynamic, structurally-variant and large-scale information, on the premise that the database tables are partitioned or distributed according to the status of server.
Health Promotion

No abstract available.
Health Promotion*

No abstract available.
Health Promotion*

No abstract available.
Health Promotion*

No abstract available.
Health Promotion*

No abstract available.
Health Promotion*

Studies on health promotion lifestyle of religious communities have relatively received little attention. This study aimed to determine the health promoting lifestyle of the Augustinian Recollect Sisters and to develop a program that will direct them to attain optimal health. Health Promotion Lifestyle Profile II was used to determine the health promotion lifestyle profile of 88 Augustinian Recollect Sisters. Descriptive statistics featured the profile of the respondents and Pearson r determined the significant relationship between the respondents' demographic profiles and their level/degree of engagement in health promotion lifestyle. Findings revealed no significant relationship between the respondents' demographic profile and their level of health promotion lifestyle.
Health Promotion

No abstract available.
Environmental Monitoring* ; Health Promotion*

BACKGROUND/OBJECTIVES: This research was conducted to develop a construct model regarding the dietary style, late night snacking choice attributes and health promotion behaviors of industrial workers. SUBJECTS/METHODS: The surveys were collected during the period between January and February 2013. A statistical analysis of 888 industrial workers was conducted using SPSS 12.0 for Windows and SEM (Structural Equation Model) using AMOS (Analysis of Moment Structure) 5.0 statistics package. RESULTS: The results of the correlations between all variables showed significant positive correlations (P < 0.05). Results of factors analysis on dietary styles were categorized into five factors and health promotion behaviors were categorized into four. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all other factors. After obtaining the factors from processing an exploratory factor analysis and the end results supported the validity. In an attempt to study the late night snacking choice attributes in accordance to dietary styles and the health promotion behaviors of industrial workers, a structural equation model was constructed and analyzed. CONCLUSIONS: All tests proved the model satisfied the recommended levels of the goodness on fit index, and thus, the overall research model was proved to be appropriate.
Health Promotion* ; Snacks*

PURPOSE: This study was conducted to identify the factors influencing health promotion behaviors. METHODS: The subjects were 200 students sampled from the population that attend four universities in G and J city. Data were collected with a questionnaire and were analyzed by t-test, ANOVA, correlation, and stepwise multiple regression. RESULTS: The mean age of subjects was 21. Family function and self-efficacy were identified as determinants of health promotion behaviors, which explained 53% of the total variances of health promotion behavior. CONCLUSION: The findings provide evidence to help health assessment and activity related to the health promotion behavior of university students.
Health Promotion* ; Humans