본 연구는 간호사의 스트레스, 스트레스 증상 및 이직의도를 비교하기 위한 서술적 조사 연구이다. 연구대상자는 대상자는 D시에 소재한 2개 대학교병원 간호사 183명을 대상으로 하였으며 2018년 9월 1일부터 12월 1일까 까지 실시되었다. 자료분석은 SPSS 22.0 프로그램을 이용하였으며, 빈도와 백분율, 평 균, 표준편차, t-test, ANOVA, correlation를 이용하였다. 본 연구결과 대상자의 스트레스는 평균이 95.05±10.21점, 스트레스 증상은 200.02±50.73점, 이직의도는 39.591±8.3점 이었고, 스트레스가 증가할수록 스트레스 증상과 이직의도가 증가하는 것으로 나타났다. 이상의 결과로 간호사의 스트레스 감소를 위한 다학재적 지원 방안이 필요한 실정이며, 본 연구 결과는 간호 인력의 효율적인 운용을 위해 기초자료로서 유용하게 활용될 수 있을 것이다.

High-throughput microscopy (HTM) was developed recently for the automatic detection of airborne asbestos fibers that can cause lung cancer, asbestosis and mesothelioma. The HTM method has been applied to couting the airborne asbestos fibers as an alternative to the conventional phase contrast microscopy (PCM). In this paper, we demonstrated that the HTM enabled us to obtain quantitative results for low-concentration airborne asbestos samples under detection limit, and we made a comparison between the results from HTM and PCM. In addition, a verification study was conducted using proficiency analytical testing (PAT) samples of chrysotile and amosite. The HTM method can be applied to the existing PCM method by reducing analysis time and labors. Potential applications can be extended to detection of asbestos fibers in soil and water.

Since it has been reported that asbestos fibers cause serious health problems such as lung cancer, malignant mesothelioma and other related diseases, it turns into social issue leading to a number of studies for characterizing asbestos found in the indoor environment. Among the established methods for detecting asbestos fibers, phase contrast microscopy (PCM) method is widely used as it dose not require complicated process nor high-priced equipments. However, PCM method is hard to define a sort of asbestos and to detect tiny asbestos fibers. We developed an image-based high-throughput microscopy (HTM) for automated counting of asbestos fibers which were distinguishable from the spherical particles. HTM method enabled us to analyze asbestos fibers both automatically and quantitatively. Test samples of chrysotile, amosite and crocidolite, which are frequently detected in Korea, were used in this study and comparisons were made between concentrations of asbestos fibers measured by manual counting method and HTM method. Application of HTM system can be extended to various areas such as malaria diagnosis, rare cell detection and bacterial colony counting.