• Korean Journal of Health Education and Promotion
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• v.31 no.2
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• pp.79-87
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• 2014

Objectives: The purpose of this study was to determine the Influences on practical intention of Breast Self-Examination (BSE) in high school girls' knowledge and attitude about BSE. Methods: The participants were 208 high school girls from D city. Data were collected from August 7, to August 9 in 2013 by a questionnaire. Data were analyzed with SPSS/WIN 19.0 using ANOVA, one sample t-test, Pearson correlation, and stepwise multiple regression. Results: The factors influencing the practical intention of BSE were attitude (${\beta}=.370$) and knowledge (${\beta}=.138$). The explanatory power of this model was 16.7%. Conclusions: The results of this study revealed that knowledge and positive attitude of BSE influenced on the practical intention of BSE. Therefore, It is needed to develop the education program to obtain the knowledge and positive attitude of BSE for high school girls.

• Journal of East-West Nursing Research
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• v.20 no.1
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• pp.29-36
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• 2014

Purpose: The purpose of this study is to identify relationships among work environment, job satisfaction and turnover intention of emergency department (ED) nurses. Methods: The survey was given to 220 ED nurses which are located in G metropolitan from May 1st to July 31st of 2012. The results were analyzed by descriptive statistics, t-test, ANOVA, pearson correlation coefficients and stepwise multiple regression using SPSS WIN 19.0 program. Results: The turnover intension according to the general characteristics of the subjects has significant difference between emergency room experience, current duty satisfaction, and turnover plan in 1 year. In the correlation between work environment, job satisfaction and turnover intention of the subjects, work environment and job satisfaction have positive correlation, job satisfaction and turnover intention either job satisfaction and turnover intention have a negative correlation. Factors influencing turnover intention are job satisfaction, career and current duty satisfaction, also the full explanatory power of the model was 24.4%. Conclusion: The results indicate factors that influence turnover intention are job satisfaction, career, and current job satisfaction. We hope these result help to provide effective intervention strategies for reducing ED nurses' turnover.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.25 no.2
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• pp.209-218
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• 2018

Purpose: This study is to identify the health promoting behaviors, health belief, and self-efficacy of visiting nurses working for the Health Visiting Project in Seoul and to determine the predictors of influencing health promoting behaviors. Methods: Data were collected from an online survey of 496 visiting nurses form 25 districts in Seoul. Using SPSS ver. 24, the study performed descriptive statistics, t-test, one-way ANOVA, correlations, and stepwise multiple regression. Results: The mean scores for health promoting behaviors and self-efficacy were slightly higher than that of the median, whereas health belief showed in the median. The factors influencing health promoting behavior were perceived barriers, perceived sensitivity, self-efficacy, and age. These variables explained 36.0% of health promoting behaviors(F=60.62, p<.05). Conclusion: To prevent illness and to promote the health of the population, the visiting nurse mainly performs health screening, health education and counseling. To fulfill these responsibilities, the visiting nurse should be healthy and perform health promoting behaviors well, effectively serving as a model for their clients. Most of the visiting nurses were middle-aged, thus, it is necessary to strengthen health promotion activities that manage physical and psychological health at the individual level.

• Research in Community and Public Health Nursing
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• v.20 no.3
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• pp.296-306
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• 2009

Purpose: This study was to identify variables influencing health risk behaviors in adolescents on the basis of the PRECEDE model. Methods: Data were collected from 434 middle school students in Chungbuk Province for two weeks in July 2008. The instrument for this study was a self-reported questionnaire. The SPSS/WIN 12.0 program was used for data analysis, which included t-test, one way ANOVA, Scheffe's test, Pearson's correlation coefficients, and stepwise multiple regression analysis. Results: Adolescents' level of health risk behaviors ($47.32{\pm}7.98$) was below medium. Physical inactivity ($6.73{\pm}2.23$) and Internet addictive behavior ($6.36{\pm}2.11$) were major health risk behaviors. The perceived level of school health education ($30.74{\pm}9.84$) was low. Family function and general self efficacy explained 14.3% of variance in health risk behaviors. Family function was a major predictor of health risk behaviors ($R^2$=.108, p=.000). However, the perceived level of school health education was not a significant predictor of health risk behaviors. Conclusion: For the prevention of health risk behaviors in adolescents, it is necessary that the family and the school collaborate with each other in educational strategies in order to strengthen influential factors such as family function and general self-efficacy.

• Nutrition Research and Practice
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• v.12 no.3
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• pp.251-257
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• 2018

BACKGROUND/OBJECTIVES: There are few studies that forecast the future prevalence of obesity based on the predicted prevalence model including contributing factors. The present study aimed to identify factors associated with obesity and construct forecasting models including significant contributing factors to estimate the 2020 and 2030 prevalence of obesity and abdominal obesity. SUBJECTS/METHODS: Panel data from the Korea National Health and Nutrition Examination Survey and national statistics from the Korean Statistical Information Service were used for the analysis. The study subjects were 17,685 male and 24,899 female adults aged 19 years or older. The outcome variables were the prevalence of obesity (body mass index ${\geq}25kg/m^2$) and abdominal obesity (waist circumference ${\geq}90cm$ for men and ${\geq}85cm$ for women). Stepwise logistic regression analysis was used to select significant variables from potential exposures. RESULTS: The survey year, age, marital status, job status, income status, smoking, alcohol consumption, sleep duration, psychological factors, dietary intake, and fertility rate were found to contribute to the prevalence of obesity and abdominal obesity. Based on the forecasting models including these variables, the 2020 and 2030 estimates for obesity prevalence were 47% and 62% for men and 32% and 37% for women, respectively. CONCLUSIONS: The present study suggested an increased prevalence of obesity and abdominal obesity in 2020 and 2030. Lifestyle factors were found to be significantly associated with the increasing trend in obesity prevalence and, therefore, they may require modification to prevent the rising trend.

• Korean Journal of Remote Sensing
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• v.25 no.6
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• pp.487-499
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• 2009

Atmospheric correction of satellite measurements is a major step to estimate accurate surface reflectance of solar spectrum channels. In this study, Simplified Method for the Atmospheric Correction (SMAC) radiative transfer model used to retrieve surface reflectance from MODIS (MODerate resolution Imaging Spectrometer) top of atmosphere (TOA) reflectance. It is fast and simple atmospheric correction method, so it uses for work site operation in various satellite. This study attempts a test of accuracy of SMAC through a sensitivity test to detected error sources and to improve accuracy of surface reflectance using SMAC. The results of SMAC as compared with MODIS surface reflectance (MOD09) was represented that low accuracy ($R^2\;=\;0.6196$, Root Means Square Error (RMSE) = 0.00031, bias = - 0.0859). Thus sensitivity analysis of input parameters and coefficients was conducted to searching error sources. Among the input parameters, Aerosol Optical Depth (AOD) is the most influence input parameter. In order to modify AOD term in SMAC code, Stepwise multiple regression was performed with testing and remove variable in three stages with independent variables of AOD at 550nm, solar zenith angle, viewing zenith angle. Surface reflectance estimation by using Newly proposed AOD term in the study showed that improve accuracy ($R^2\;=\;0.827$, RMSE = 0.00672, bias = - 0.000762).

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.394-394
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• 2018

최근 기후변화로 인하여 강수량 및 집중호우 발생 횟수의 증가에 따라 홍수의 발생 빈도 및 강도가 증가한다. 기후변화에 따른 미래의 강수량 예측은 2013년에 발간된 IPCC(Intergovernmental Panel on Climate Change) 5차 평가보고서 (AR5)를 활용하여 분석하고 있다. 기후변화 시나리오에 따라 기온 상승률 및 강수량의 증가량, 극한 강우사상의 발생 빈도 및 발생정도가 다르게 결정되며, 극한 강우사상으로 유발되는 홍수의 피해 정도가 홍수피해 유형별로 다르게 나타난다. 본 연구에서는 기후변화에 따른 미래의 홍수 피해 정도를 예측하기 위하여 홍수에 영향을 미치는 인자 및 홍수를 감소시키는 인자들을 활용하여 단계적 회귀모형을 이용하여 인명피해, 피해면적, 피해액, 발생빈도 등 홍수피해 유형 별로 현재 및 미래의 홍수피해정도를 예측 및 분석하였다. 홍수에 영향을 미치는 인자로 연평균강수량, 일최대강수량, 1시간최대강수량, 10분최대강수량, 호우일수, 인구밀도, 자산밀도, 도로현황, 시가화율 등을 사용하였고, 홍수 피해를 감소시키는 치수대책으로는 하천개수율, 하수도보급률, 양수량, 유수지용량 등을 사용하였다.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.2
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• pp.163-174
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• 2021

Purpose: This study aims to identify factors influencing the stigma communication concerning HIV (Human Immunodeficiency Virus)/AIDS (Acquired Immune Deficiency Syndrome) patients between health and medical college students. Methods: In this descriptive study, the participants were 158 college students from a certain university. Data were collected from September 18 to September 30, 2018. Self-reported questionnaires were used to measure AIDS-related knowledge, homosexual awareness, fear of HIV/AIDS patients and stigma communication. The collected data were analyzed with descriptive statistics, an independent t-test, one way analysis of variance, Pearson's correlation and a stepwise multiple regression analysis using the SPSS 23.0 program. Results: The factors influencing the stigma communication between health and medical college students were a fear of HIV/AIDS patients (β=.47, p<.001) and homosexual awareness (β=-.15, p=.040), which together explained 28.0% of the variance in the model. Conclusion: The study findings suggest that an education program for health and medical college students should be developed. Additionally, when designing the education program, it is recommended that the contents for inducing attitude changes should include affective areas as well as knowledge-oriented contents. The study suggests that it is necessary to provide a systematic education program to decrease the stigma for HIV/AIDS patients before health care providers enter clinical practice.

• Korean Journal of Occupational Health Nursing
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• v.28 no.1
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• pp.64-74
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• 2019

Purpose: The purpose of this study was to identify the influencing factors on burnout after analyzing the relationship among clinical nurses' various perfectionism and coping styles. Methods: A descriptive, cross-sectional study was conducted with 200 clinical nurses who had six months or more years of clinical experiences from two general hospitals located in D city. The data were analyzed by t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise regression analysis using IBM SPSS statistics 23.0 program. Results: The burnout of clinical nurses was positively correlated with socially prescribed perfectionism and negatively correlated with active coping style. Socially prescribed perfectionism was positively correlated with active coping style and passive coping style. Influencing factors on the burnout of clinical nurses were socially prescribed perfectionism (${\beta}=.37$), satisfied work unit (${\beta}=-.64$) and neutral satisfaction of work unit (${\beta}=-.27$), over 40 years of age (${\beta}=-.21$), and active coping style (${\beta}=-.14$). The model consisting of these variables explained 42% of variance of burnout in clinical nurses. Conclusion: Based on the findings of this study developing intervention programs that consider influencing factors such as perfectionism and coping styles is needed to reduce the level of burnout of clinical nurses.

• Korean Journal of Organic Agriculture
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• v.29 no.3
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• pp.317-332
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• 2021

This study estimated the predictive onion yield through Stepwise regression of big data and weather variables by onion growing season. The economic feasibility of onion observations using big data was analyzed using estimated predictive data. The social welfare effect was estimated through the model of Harberger's triangle using onion yield prediction with big data and it without big data. Predicted yield using big data showed a deviation of -9.0% to 4.2%. As a result of estimating the social welfare effect, the average annual value was 23.3 billion won. The average annual value of social welfare effects if big data was not used was measured at 22.4 billion won. Therefore, it was estimated that the difference between the social welfare effect when the prediction using big data was used and when it was not was about 950 million won. When these results are applied to items other than onion items, the effect will be greater. It is judged that it can be used as basic data to prove the justification of the agricultural observation project. However, since the simple Harberger's triangle theory has the limitation of oversimplifying reality, it is necessary to evaluate the economic value through various methods such as measuring the effect of agricultural observation under a more realistic rational expectation hypothesis in future studies.