Purpose : this study purposed to investigate school nursing phenomena in Korea by applying ICNP, the international standard nursing classification system developed by ICN, and to compare school nursing phenomena at elementary, middle and high schools. Method : The subjects of this study are 110 nursing teachers from 82 elementary schools, 16 middle schools, and 12 high schools. In the survey, subjects were asked to score the degree to which phenomena and characteristics of Korean school nursing, identified in previous research, on a 5 point scale. Questionnaires were distributed and recovered by mail and email. The period of data collection was 6 months from July to December 2003. The general characteristics of schools and nursing teachers were represented with frequencies and percentages, the phenomena and characteristics of school nursing with the mean score of the questions, and the phenomena school nursing by school grade with ANOVA and Duncan's posterior analysis. Results : 1) As for the characteristics of schools according to school nursing phenomena related to human behavior, the mean score of questions on inadequate stress management was highest at 3.24 points followed by the score on inadequate weight control (3.23), inadequate eating habits (3.22), the risk of spine disorders (2.68), inadequate emergency management (2.62), inadequate response to sex -related problems (2.19), and smoking and drug use (1.85). 2) As for the characteristics of schools according to school nursing phenomena related to human function, the mean score of questions on oral health management was highest at 3.11 points followed by the score on the risk of digestive system disorder (2.87), improper eyesight management (2.81), the risk of respiratory system disorders (2.75), lack of sexual identity (2.52), and inadequate contagious disease control (2.12). 3) As for the mean score according to school nursing phenomena related to environment, the score of the risk of accidents in classroom was highest as 2.68 points followed by the score of the risk of accidents around the school (2.65), maladjustment to school (2.62), the risk of accidents outside the classroom (2.43), inadequate learning environment (1.83), the risk of exposure to socially and physically harmful environment factors (1.82), and inadequate waste disposal (1.77). 4) This study tested the mean scores of questions corresponding to each school nursing phenomenon in order to see if there is a difference in the school nursing phenomenon among elementary, middle and high schools, and performed Duncan's posterior comparison for school nursing phenomena. A significant difference was found at p<.1. According to the results, school nursing phenomena found to be significantly different among elementary, middle and high schools was smoking and drug use (p<.05), which appeared more problematic in high school than in elementary school. phenomena such as inadequate eating habits, inadequate weight control, inadequate response to sex-related problems and inadequate waste disposal were also found to be statistically different at p<.1; however, according to the result of Duncan's posterior comparison, no difference was found among groups in improper eating habits and improper response to sex-related problems, and a significant difference was found between middle and high schools in inadequate weight control and inadequate waste disposal. Conclusion: Based on the results of this study, it is necessary to plan school health projects focused on the characteristic school nursing phenomena that had high scores and to develop and execute school healthe projects in accordance with the characteristics of elementary, middle and high schools. Considering that the scores of school nursing phenomena related to human behavior are high, it is necessary to introduce school health promotion projects in a systematic way.
The mammary gland is made up of remarkably sensitive tissue, which has the capability of producing a large volume of secretion, milk, under normal or healthy conditions. When bacteria enter the gland and establish an infection (mastitis), inflammation is initiated accompanied by an influx of white cells from the blood stream, by altered secretory function, and changes in the volume and composition of secretion. Cell numbers in milk are closely associated with inflammation and udder health. These somatic cell counts (SCC) are accepted as the international standard measurement of milk quality in dairy and for mastitis diagnosis. NIR Spectra of unhomogenized composite milk samples from 14 cows (healthy and mastitic), 7days after parturition and during the next 30 days of lactation were measured. Different multivariate analysis techniques were used to diagnose the disease at very early stage and determine how the spectral properties of milk vary with its composition and animal health. PLS model for prediction of somatic cell count (SCC) based on NIR milk spectra was made. The best accuracy of determination for the 1100-2500nm range was found using smoothed absorbance data and 10 PLS factors. The standard error of prediction for independent validation set of samples was 0.382, correlation coefficient 0.854 and the variation coefficient 7.63%. It has been found that SCC determination by NIR milk spectra was indirect and based on the related changes in milk composition. From the spectral changes, we learned that when mastitis occurred, the most significant factors that simultaneously influenced milk spectra were alteration of milk proteins and changes in ionic concentration of milk. It was consistent with the results we obtained further when applied 2DCOS. Two-dimensional correlation analysis of NIR milk spectra was done to assess the changes in milk composition, which occur when somatic cell count (SCC) levels vary. The synchronous correlation map revealed that when SCC increases, protein levels increase while water and lactose levels decrease. Results from the analysis of the asynchronous plot indicated that changes in water and fat absorptions occur before other milk components. In addition, the technique was used to assess the changes in milk during a period when SCC levels do not vary appreciably. Results indicated that milk components are in equilibrium and no appreciable change in a given component was seen with respect to another. This was found in both healthy and mastitic animals. However, milk components were found to vary with SCC content regardless of the range considered. This important finding demonstrates that 2-D correlation analysis may be used to track even subtle changes in milk composition in individual cows. To find out the right threshold for SCC when used for mastitis diagnosis at cow level, classification of milk samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two levels of SCC - 200 000 cells/