2015, Vol.33, No.2

군진간호연구 2023 KCI Impact Factor : 0.4

pISSN : 1975-664X
https://journal.kci.go.kr/kafna

Purpose: The purpose of the study was to explore the levels of quality of life (QoL), post-traumatic growth, resilience, and optimism in disaster victims and to identify factors influencing QoL. Methods: The data were collected from questionnaires of convenience sample of 219 disaster victims in 2013 in Korea. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression. Results: The mean items score of QoL was 3.1, 2.9 for post-traumatic growth, and 2.1 for optimism (5point) and that of resilience was 2.5 (4point). QoL was significantly different by perceived health status at present, change of health status after disaster. QoL was correlated positively with post-traumatic growth, resilience, optimism. As a result of multiple regression analysis, QoL was accounted for 36.4% of the variance by post-traumatic growth, optimism, recovery rate after disaster, perceived health status at present, recovery rate of health status after disaster, current suffering due to disaster. Optimism was the most important factor for QoL, which explained 18.8% of the variation. Conclusion: The results of the study show that strengthening optimism needs to be integrated in developing effective intervention program for enhancing QoL in disaster victims.

Purpose: This study identifies the concept of `military nursing leadership’ based on a qualitative investigation. Methods: The study is based on Hybrid Model, proposed by Schwartz-Barcott and Kim. The study compromises of 3 steps : theory investigation, field study and final analysis. For theory investigation, we searched various literatures about ‘leadership’. Secondly, field study was conducted through interview and participatant observation of 14 participants (6 patients, 4 peer workers, and 4 nursing officers). Based on the above, we identified conceptual attributes of military nursing leadership. Results: Identified 9 attributes of military nursing leadership are achievement of group goal, respect, leading attitude, communication, educating how to be soldierly, specialty, persuasive power, judgment, and encouragement. Those attributes indicate that military nursing leadership is a process of achieving group goal through communication, educating soldierly manners based on encouragement and respect by nursing officers with specialty, persuasive power and judgement. Conclusion: In this study, we provide a way of understanding definition and 9 attributes of military nursing leadership to make military nursing officers have better apprehensibility. In addition, it can be helpful data in developing concept of military nursing leadership and related educational course.

Purpose: This study was conducted to evaluate the health related behavior of Airmen, analyze the influencing factors of hypertension, diabetes mellitus, and hyperlipidemia and provide basic data to establish a health promotion policy for Airmen. Methods: 1888 Airmen participated in this study from July 21st to August 4th. Each participant completed a questionnaire through the Airforce intranet system. Questionnaires were comprised of health related behavior indicators from a community health survey and diagnostic criteria for hypertension, diabetes mellitus, and hyperlipidemia. Data were analyzed using descriptive statistics, χ² test, Fisher's exact test, and logistic regression. Results: The average age of the participants was 28.9 years old. Participants were mostly male (97.2%). The population consisted of officers and non-commissioned officers (46.1%), enlisted (54.4%), and civilian officers (2.4%) that work in the military. Analysis indicated that 33.2% were smokers, and 17.9% were considered high risk drinkers. The average appropriate weight ratio (BMI) was 23.4kg/m² (±2.90) and 5.3% showed a high risk depression rate. 13.6% had hypertension, 2.2% had hyperglycemia, and 12.2% had hyperlipidemia. Older age, greater BMI, and alcohol consumption were shown to have a significant correlation with hypertension (p<.001). Age was the only influencing factor related to hyperglycemia (p<.001). Finally, older age and the lack of anaerobic exercise (less than three times a week) were significantly related to hyperlipidemia (p<.001). Conclusion: This study should be used to propose methods of prevention and management of chronic diseases. Further studies should also focus on applying research data to health promotion policies for the Air force.