Relationship Between Nursing Students' Awareness of Disaster, Preparedness for Disaster, Willingness to Participate in Disaster Response, and Disaster Nursing Competency.

OBJECTIVE: This study was conducted to provide basic data for preparing a disaster nursing education program. It examined the degree of nursing students' disaster awareness, disaster preparedness, willingness to participate in disaster response, and disaster nursing competency, aiming to determine the relationship between these attributes. METHODS: This was a descriptive research study. The participants were 163 nursing students. The data collected from the participants were analyzed via descriptive statistics and Pearson's correlation coefficients. RESULTS: Disaster awareness showed a positive correlation with a willingness to participate in a disaster response. Further, disaster preparedness and willingness to participate in a disaster response showed a positive correlation with disaster nursing capacity. Disaster awareness did not show a significant correlation with disaster preparedness and disaster nursing competency. Last, disaster preparedness did not show a significant correlation with willingness to participate in a disaster response. CONCLUSIONS: It is necessary to improve nursing students' disaster awareness, disaster preparation, disaster response participation willingness, and disaster nursing competency. It is imperative to develop disaster nursing education programs to strengthen students' capabilities in a comprehensive manner.

Multi isotope systematics of precipitation to trace the sources of air pollutants in Seoul, Korea.

Multiple sulfur (δ34Ssulfate, Δ33Ssulfate, & Δ36Ssulfate), nitrogen and oxygen (δ15Nnitrate & δ18Onitrate) and strontium (87Sr/86Sr) isotope compositions of precipitation collected from Seoul, South Korea were analyzed to study the sources, transportation and deposition of air pollutants in East Asia. The δ34Ssulfate values (from 1.9 to 14.6‰ with a median of 4.7‰) and the δ15Nnitrate values (from -2.0 to 13.3‰ with a median of 1.0‰) suggest that fossil fuel use (emission from coal combustion and vehicle exhaust) is a predominant source for sulfur and nitrogen, but other natural sources including biogenic contributions of DMS also add to their total budget. The seasonal variations are observed in δ34Ssulfate and δ15Nnitrate values (both higher in winter season), which is likely to result from the increase of coal use for domestic heating in China. The δ18Onitrate values also varied seasonally depending on the NOx oxidation pathway, being about 20‰ higher in winter than in summer season. The Δ33Ssulfate and Δ36Ssulfate values are not anomalous, showing the absence of MIF signals in precipitation of Seoul. The 87Sr/86Sr ratio of the precipitation samples range from 0.70988 to 0.71487 with a median of 0.71073, indicating the influence of at least three end-member (silicate dust, carbonate dust and anthropogenic emission). Ionic ratios such as (K++NH4+)/(Ca2++Mg2+) and Cl-/Na+ suggest the overwhelming effect of anthropogenic input rather than carbonate dust on the end-member with lower 87Sr/86Sr ratios.