[Effectiveness of the Military Mental Health Promotion Program].

PURPOSE: This study was done to evaluate the Military Mental Health Promotion Program. The program was an email based cognitive behavioral intervention. METHODS: The research design was a quasi-experimental study with a non-equivalent control group pretest-posttest design. Participants were 32 soldiers who agreed to participate in the program. Data were collected at three different times from January 2012 to March 2012; pre-test, post-test, and a one-month follow-up test. The data were statistically analyzed using SPSS 18.0. The effectiveness of the program was tested by repeated measures ANOVA. RESULTS: The first hypothesis that the level of depression in the experimental group who participated in the program would decrease compared to the control group was not supported in that the difference in group-time interaction was not statistically significant (F=2.19, p=.121). The second and third hypothesis related to anxiety and self-esteem were supported in group-time interaction, respectively (F=7.41, p=.001, F=11.67, p<.001). CONCLUSION: Results indicate that the program is effective in improving soldiers' mental health status in areas of anxiety and self-esteem.

[A predictive model of depression in rural elders-decision tree analysis].

PURPOSE: This descriptive study was done to develop a predictive model of depression in rural elders that will guide prevention and reduction of depression in elders. METHODS: A cross-sectional descriptive survey was done using face-to-face private interviews. Participants included in the final analysis were 461 elders (aged> or = 65 years). The questions were on depression, personal and environmental factors, body functions and structures, activity and participation. Decision tree analysis using the SPSS Modeler 14.1 program was applied to build an optimum and significant predictive model to predict depression in rural elders. RESULTS: From the data analysis, the predictive model for factors related to depression in rural elders presented with 4 path-ways. Predictive factors included exercise capacity, self-esteem, farming, social activity, cognitive function, and gender. The accuracy of the model was 83.7%, error rate 16.3%, sensitivity 63.3%, and specificity 93.6%. CONCLUSION: The results of this study can be used as a theoretical basis for developing a systematic knowledge system for nursing and for developing a protocol that prevents depression in elders living in rural areas, thereby contributing to advanced depression prevention for elders.

Risk assessment principle for engineered nanotechnology in food and drug.

While the ability to develop nanomaterials and incorporate them into products is advancing rapidly worldwide, understanding of the potential health safety effects of nanomaterials has proceeded at a much slower pace. Since 2008, Korea Food and Drug Administration (KFDA) started an investigation to prepare "Strategic Action Plan" to evaluate safety and nano risk management associated with foods, drugs, medical devices and cosmetics using nano-scale materials. Although there are some studies related to potential risk of nanomaterials, physical-chemical characterization of nanomaterials is not clear yet and these do not offer enough information due to their limitations. Their uncertainties make it impossible to determine whether nanomaterials are actually hazardous to human. According to the above mention, we have some problems to conduct the human exposure risk assessment currently. On the other hand, uncertainty about safety may lead to polarized public debate and to businesses unwillingness for further nanotechnology investigation. Therefore, the criteria and methods to assess possible adverse effects of nanomaterials have been vigorously taken into consideration by many international organizations: the World Health Organization, the Organization for Economic and Commercial Development and the European Commission. The object of this study was to develop risk assessment principles for safety management of future nanoproducts and also to identify areas of research to strengthen risk assessment for nanomaterials. The research roadmaps which were proposed in this study will be helpful to fill up the current gaps in knowledge relevant nano risk assessment.