• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5238-5246
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• 2012

This study was done to identify the evaluation of CPSCS for neurocritical patients and provide effective nursing interventions for these patients. Data were collected from medical records of 203 neurocritical patients over 18 years of age who were admitted to the ICU of C University Hospital during the period from January 2008 to May 2009 and from October 2011 to December 2011. Collected data were analyzed through t-test, ANOVA test, Person's correlation analysis, trend analysis, stepwise multiple regression. The average CPSCS score was $112.09{\pm}18.91$ and there was a significant trendency for higher severity to lead to higher CPSCS's scores(survival: J-T:9.795, die: J-T:5.415, p=<.001). The scores of the respective areas follows measurement of vital sign($3.74{\pm}2.15$), monitoring($28.97{\pm}4.31$), activity daily living ($34.99{\pm}3.66$), feeding($.19{\pm}.98$), intravenous infusion ($18.20{\pm}8.27$), treatment/procedure ($16.93{\pm}4.90$), respiratory therapy($8.61{\pm}7.07$). By means of stepwise multiple regression analysis, the intravenous therapy & medication, respiratory therapy, activities of daily living, and monitoring area that contains the model showed a significant (F=2073.963, p<.001), and they explained 98.1% of CPSCS. These findings provide information that is relevant in designing interventions to enhance CPSCS among neurocritical patients in hospital.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.209-217
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• 2016

The aim of this study was to identify stress, motivation for a the healthy lifestyle and IADL of the elderly with arthritis. This study examined 117 elderly person over the age of 65 years living in S city. The data were analyzed using an independent t-test, Pearson correlation coefficients, and stepwise multiple regression with the SPSS Win 12.0 Program. Significant negative correlations were observed between stress and IADL, significant positive correlations between motivation on healthy lifestyle and IADL. The predictors on IADL were the physical area of stress (${\beta}=-0.354$, p<.001) and self-efficacy of motivation on healthy lifestyle (${\beta}=0.250$, p<.001). The model explained 18.5% of the variance. More study will be needed to explore a range of factors influencing the IADL and develop education programs for effective healthy lifestyle of elderly people with arthritis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1672-1683
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• 2012

The purpose of this descriptive survey was to investigate the duration of exclusive breastfeeding practice and its related factors of married immigrant Vietnamese women. And to provide baseline information necessary to develop education programs for the promotion of exclusive breastfeeding practice among them. 125 married immigrant Vietnamese women with a child between 6 months and 60 months old were conveniently recruited in two Multi-cultural Family Support Center in Chungcheong area. Data were collected through interviews using a structured questionnaire of Korean and Vietnamese versions. The data were analyzed using frequencies, t-test, ANOVA, Stepwise multiple regression with SPSS 18.0 program. The results were as follows; 1) The mean duration of exclusive breastfeeding of the subjects was 15.9 weeks. 2) As the infants grows older, the rate of formula feeding and mixed feeding were markedly increased. 3) Stepwise multiple regression analysis indicated that breastfeeding education and family type were significant determinants of the duration of exclusive breastfeeding practice. This model accounted for 30.8% of the duration of exclusive breastfeeding practice. Based on these results, we recommend to develop systematic breastfeeding education program in order to promote the duration of exclusive breastfeeding practice among married immigrant Vietnamese women.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.213-222
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• 2016

The purpose of this study was to investigate the knowledge and attitude toward the elderly, aging anxiety, and attitude toward caring the elderly and to identify influencing factors of attitude toward caring the elderly in nursing students. Participants were 227 nursing students from three college of nursing in D-city and K region. Data was collected by structured questionnaire on subjects' characteristics, knowledge toward the elderly, attitude toward the elderly, aging anxiety, and attitude toward caring the elderly. Data were analyzed using descriptive statistics, t-test, one way ANOVA, Pearson correlation coefficient, and stepwise multiple regression analysis with SPSS/WIN 19.0 program. The average score of knowledge, aging anxiety, attitude toward the elderly, and attitude toward caring the elderly of participants were 14.78, 2.88, 4.09, 5.16. Factors significantly affecting attitude toward caring the elderly were attitude toward the elderly, preference of caring for the elderly, aging anxiety, favorable type to be support as a parent. Explanatory power of the model was 24.7%. The results of this study suggest that interventions may be necessary to improve attitude toward caring the elderly among nursing students. It is essential to develop the strategy of providing positive experience with the elderly for nursing students as well as geriatric nursing education.

• Journal of Industrial Convergence
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• v.21 no.2
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• pp.43-52
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• 2023

This study was conducted to examine the relationship of the COVID-19-related anxiety, self-efficacy, resilience, and professional competence of nurses working in hospitals where COVID-19 patients are hospitalized. Additionally, this study attempted to identify factors that affect the professional competence of nurses. Using a cross-sectional descriptive study design, an online survey of 120 nurses working at hospitals where COVID-19 patients were hospitalized was conducted between February 9 and February 19, 2021. Pearson's correlations were used to assess correlations between the main variables, and stepwise multiple regression was used to identify factors influencing professional competence. Results of the study showed that the professional competence of nurses was positively correlated with self-efficacy (r=.58, p<.001) and resilience (r=.56, p<.001). The correlation between professional competence and COVID-related anxiety was not significant (r=-.03, p=.766). Factors affecting professional competence included self-efficacy (β=.36, p=.004) and resilience (β=28, p=.021). The model explained approximately 35% of the variance in nurse professional competence (F=33.65, p<.001). To fully demonstrate the professional competence of nurses during the COVID-19 pandemic, institution-based programs should be developed and applied to improve their self-efficacy and resilience. In order to prevent the burnout of nurses in the longer-than-expected COVID-19 pandemic, efforts and policies at the nursing organization level are needed to systematically manage and monitor self-efficacy and resilience of nurses.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1614-1614
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• 2001

The sweetness (。Bix) of fruit is the main quality factor contributing to the fruit taste. The brix of the apple fruit can be measured non-destructively by near infrared (NIR) spectroscopy, allowing the sweetness grading of individual apple fruit. However, the fruit quality is influenced by various factors such as growing location, producing year, variety and harvest time etc., accordingly the robust NIR calibration is required. In this experimental results are presented the influence of two variations such as growing location and producing year of apple fruit in establishing of calibrations for sweetness, and developed a stable and highly accurate calibration. Apple fruit (Fuji) was collected every year from 1995 to 1997 in 3 different growing locations (Andong, Youngchun and Chungsong) of Kyungpook in Korea. NIR reflectance spectra of apple fruit were scanned in wavelength range of 1100∼2500nm using an InfraAlyzer 500C (Bran+Luebbe) with halogen lamp and PbS detector. The multiple linear regression and stepwise was carried out between the NIR raw spectra and the brix measured by refractometer to select the best regression equations. The calibration models by each growing district were well predicted to dependent sample set, but poorly predicted to independent sample set. Combined calibration model using data of three growing districts predicted reasonable well to a population set drawn from all growing districts(SEP = 0.69%, Bias=-0.075). The calibration models by each harvest year were not transferable across harvest year, however a combined calibration model using data of three harvest years was sufficiently robust to predict each sample sets(SEP = 0.53%, Bias = 0.004).

• Physical Therapy Korea
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• v.14 no.3
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• pp.81-89
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• 2007

The purpose of this study was to utilize the K-MBI (Korean Modified Barthel Index) and subscales of K-MBI in predicting the length of hospital stay (LOS) and the discharge destinations for stroke patients. The study population consisted of 97 stroke patients (57 men and 40 women) admitted to the Seoul National University at the Bundang Hospital. All participants were assessed by K-MBI at admission and discharge after rehabilitation therapy and the information available was investigated at admission. The data were analyzed by using the Mann-Whitney U test, the stepwise multiple regression and the logistic regression. The median LOS was 30 days (mean, 32.8 days; range, 22 to 43 days). The K-MBI score at initiation of rehabilitation therapy (p<.001), the type of stroke and living habits before a stroke were the main explanatory indicators for LOS (p<.05). Within the parameters of K-MBI measured at initiation for rehabilitation, feeding and chair/bed transfer were the explanatory factors for LOS prediction (p<.01). Confidence in the prediction of LOS was 20%. Significant predictors of discharge destination in a logistic regression model were the discharge K-MBI score, sex and hemiplegic side. Dressing in items of discharge K-MBI was the significant predictor of discharge destination. The K-MBI score was the most important factor to predict LOS and discharge destination. Knowledge of these predictors can contribute to more appropriate treatment and discharge planning.

• Korean Journal of Soil Science and Fertilizer
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• v.50 no.5
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• pp.422-433
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• 2017

Unmanned Aerial Vehicle (UAV) has several advantages over conventional remote sensing techniques. They can acquire high-resolution images quickly and repeatedly. And with a comparatively lower flight altitude, they can obtain good quality images even in cloudy weather. In this paper, we developed for estimating garlic growth at field scale model in major cultivation regions. We used the $NDVI_{UAV}$ that reflects the crop conditions, and seven meteorological elements for 3 major cultivation regions from 2015 to 2017. For this study, UAV imagery was taken at Taean, Changnyeong, and Hapcheon regions nine times from early February to late June during the garlic growing season. Four plant growth parameters, plant height (P.H.), leaf number (L.N.), plant diameter (P.D.), and fresh weight (F.W.) were measured for twenty plants per plot for each field campaign. The multiple linear regression models were suggested by using backward elimination and stepwise selection in the extraction of independent variables. As a result, model of cold type explain 82.1%, 65.9%, 64.5%, and 61.7% of the P.H., F.W., L.N., P.D. with a root mean square error (RMSE) of 7.98 cm, 5.91 g, 1.05, and 3.43 cm. Especially, model of warm type explain 92.9%, 88.6%, 62.8%, 54.6% of the P.H., P.D., L.N., F.W. with a root mean square error (RMSE) of 16.41 cm, 9.08 cm, 1.12, 19.51 g. The spatial distribution map of garlic growth was in strong agreement with the field measurements in terms of field variation and relative numerical values when $NDVI_{UAV}$ was applied to multiple linear regression models. These results will also be useful for determining the UAV multi-spectral imagery necessary to estimate growth parameters of garlic.

• Journal of Preventive Medicine and Public Health
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• v.18 no.1
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• pp.13-24
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• 1985

This study seeks to provide a framework for understanding differential access to medical care. The framework is provided by Anderson Model, a model of health services utilization which suggests a sequence of predisposing, enabling, illness-morbidity characteristics that determine the number of times people will visit a physician. The framework in this study is composed of two models, one is for Adults and the other is for Non-Adults. Models are operationalized using stepwise multiple regression analysis and path analysis. The data come from a national health survey conducted in 1983. The findings of the analysis can be summarized as follows : First, the causal models used in this study are able to explain only a small amount of the variance in medical care utilization(Adjusted $R^2$ is .144 in the Model for Adults and .243 in that for Non-Adults). This finding suggests that we reconsider the utility of such existing model using the predisposing, enabling, and illness-morbidity characteristics in light of their poor correspondence with these data. Second, while small amount of the valiance in medical care utilization is explained, most of the explained variance is due to the illness-morbidity characteristics. The path coefficients of study variables except illness-morbidity variables show these characteristics to be substantially unrelated to medical care utilization, and the indirect effects of the predisposing and edabling characteristics on medical care utilization are also negligible. This casts doubt on the importance of the predisposing and enabling characteristics in explaining medical care utilization. Third, among the predisposing and enabling characteristics, Medical Security variable is the only one having significant direct effect on medical care utilization in both models for Adults and for Non-Adults. Fourth, the amount of the variance explained in the Model for Non-Adults is more than in the Model for Adults. This suggests that medical care utilization of adults is more influenced by behavioral factors than that of children.

• Korean Journal of Adult Nursing
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• v.25 no.4
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• pp.389-399
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• 2013

Purpose: The purpose of the study was to examine the relationships between cognitive coping, hope, depression, and life satisfaction of hemodialysis patients based on the stress-coping model. Methods: For this cross-sectional survey, 142 participants were recruited from 10 local clinics in Seoul and Daegu during 2012-2013. The data collection instruments included the Cognitive Emotion Regulation Questionnaire, the Herth Hope Index, the Hospital Anxiety and Depression Scale, and the Satisfaction with Life Scale. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation analysis, and stepwise multiple regression. Results: The cognitive coping scores were significantly related to hope, depression, and life satisfaction. The coping strategies explained 80%, 37%, and 38% of the variances in hope, depression, and life satisfaction, respectively. The most powerful coping strategy was positive refocusing, explaining 73% in hope, 25% in depression, and 25% in life satisfaction. Conclusion: The results of the study indicate that cognitive coping plays an essential role for psychological adaptation of hemodialysis patients. Thus, interventions integrating positive refocusing would help instilling hope of hemodialysis patients in Korea.