• 대한간호학회지
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• 제14권2호
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• pp.84-92
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• 1984

This article examined relationships between selected variables, such as demographic background, care, treatment variables, environmental characteristics, and patient's daily behavior and mood change. Relationship were determined between independent variabltherapeutic-rapeutie approach, demographic data, environmental management approach-,and dependent variable-patient's daily behavioral and mood change. 35 patients selected within some criteria in a psychiatric ward, were obserbed during 5 weeks by use of Wyatt's Behavior & Mood Rating Scale ac-cording to the object of the study. At the same time, the frequence of the care and treatment were collected. Criteria for sample selection and independent variables as an influential factor to the patient behavioral change, based on a literature revienw and clinical experiences. Pearson's correlation and multiple regression analysis were used to determine the influfntial factors to the patient behavioral change. Systematic reading (r=.8324), Psychiatrist's individual interview (r=.5764), tranquilizer (r=.3441) and hospitalization processing date (r=.4143) were related with patient's behavioral change. That is these 4 variables can be said to influence to the patient's behavior and mood. A stepwise multiple regression analysis of the effect of the independent varibles of systematic reading, psychintrists individual interview, tranquilizer and hospitalization processing date on the dependent variable, patient's behavioral change was carried out. Systematic reading with on R²of. 69 revealed to be the main influential factor to the patient's behavior and mood change, as the next factor psychiatrist individual interview. A total inclusion of these factors revealed a 73% prediction for the patient's behavior and mood change. But the most influential factor was the interaction of the systematic reading and psychiatrist's individual interview.

• 한국농촌간호학회지
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• 제10권1호
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• pp.17-29
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• 2015

Purpose: This study was done to examine factors affecting quality of life among community-dwelling elderly women who live in rural areas. Methods: The design of this research was cross-sectional descriptive study. The participants were 92 community-dwelling women aged 65 or older. Data were collected from November 1 to 15, 2013. ADL (Kart's Index), GDS-SF (Geriatric Depression Scale Short Form) and GQOL (Geriatric Quality of Life Scale) were used to measure variables. Data were collected using self-administered questionnaires and analyzed using descriptive statistics, Spearman's coefficient and stepwise multiple regression. Results: The participants' mean age was 77.5, and 85.9% had elementary school graduation or less education, and for 64.1%, their economic status was low. Spearman's rho coefficient analysis found that QOL was significantly associated with depression (r=-.72, p<.001), perceived health (r=.58, p<.001), regular exercise (r=.47, p<.001), education level (r=.29, p=.005), and ADL (r=-.21, p=.043). Multiple regression analysis showed that 65.9% of their QOL was explained by depression (${\beta}=-.72$), perceived health (${\beta}=.24$), ADL (${\beta}=-.16$), exercise (${\beta}=.22$) and number of diseases (${\beta}=.19$). Conclusion: These results indicate that older women who live rural areas need support for ADL, and prevention of depression to improve their quality of life.

• 성인간호학회지
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• 제21권1호
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• pp.53-61
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• 2009

Purpose: This study was to provide baseline data to arrange systematic management for the infectious waste. Methods: This data was collected by self-reported questionnaires from a total of 419 subjects, ie nurses, nurse's aides and laboratory technicians working at a university hospital located in G city. The collected data were analyzed by t-test or ANOVA, Tukey test, Pearson's correlation, and multiple regression analysis using SPSS/WIN 12.0. Results: The knowledge of the infectious waste was statistically significant in type of staff and level of education. Attitude was statistically significant in type of staff, age group, level of education, working period, and marital status. And also the practice of the subject was statistically significant in type of staff, age group, education level, the working periods, and marital status. There was positive association between attitude and practice(r=.63, ${\rho}$< 001). By means of multiple stepwise regression analysis, total variance explained by the attitude towards infectious wastes, single employee, and the working periods less than ten years was 44% of the practice of infectious wastes. Conclusion: An educational program focusing on strategy to change employee's attitude can be effective for building a well-organized management system.

• 한국농촌생활과학회지
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• 제7권2호
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• pp.139-152
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• 1996

The objectives of this study are : (1) to measure the level of economic stress perception in Korean farm households. (2) to identify the effects of related variables such as socio-demographic variables and economic stability. The data from 505 farm households' wives was analyzed using statistical methods such as frequency, correlation, oneway ANOVA, lease significant difference test, and stepwise multiple regression. The major findings are as follows : The mean value of economic stress perception on the 505 wives was 33.5 points out of a possible 100. Among 3 subsectors, income stress perception had highest score. Socio- demographic variables such as family size, type of farm household, financial manager, debt, credit . grant assistant, wife's age, and educational level of the wife had a significant difference on the economic stress perception of wives in the ANOVA analysis. So did the objective and subjective evaluation of economic stability. As a result of multiple regression analysis, economic stability, debt presence, and wife age were verified explaining 23% of the variance of economic stress perception. Therefore, it can be said that farm wives had relatively high economic stress perception in the case of low economic stability, getting into debt and low age.

• 한국간호교육학회지
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• 제21권3호
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• pp.417-425
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• 2015

Purpose: The purpose of this study was to identify the relationship between self-leadership and the perception of learning in nursing students. Methods: A descriptive research design was used in this study. The participants were 378 nursing students in M city and C city who were surveyed between June 1 and June 30, 2014 using self-report questionnaires. The data was analyzed using SPSS WIN 21.0 Program, which determined frequency, percentage, mean, standard deviation; a One-way ANOVA; a $Scheff{\acute{e}}$ test; a Pearson correlation coefficient; and a Stepwise multiple regression analysis. Results: There were significant positive correlations between nursing students' self-leadership and their perception of learning. In the multiple regression analysis, self-leadership was the most significant predictor in explaining nursing students' perception of learning. Conclusion: Study findings suggest that nursing students' self-leadership is defined as having an important influence on nursing students' perception of learning. In order to strengthen nursing students' self-leadership, there is a need to develop education programs that increase nursing students' self-leadership.

• 동서간호학연구지
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• 제25권2호
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• pp.138-146
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• 2019

Purpose: The purpose of this study was to identify the factors influencing dementia preventive behavior intention of the elderly people based on the Health Belief Model. Methods: The participants included 113 elderly people who met the eligibility criteria. Demographic variables, variables of the Health Belief Model (perceived susceptibility, perceived severity, perceived benefit, perceived barrier, cues to action, general health motivation, and self efficacy), dementia fear and behavioral intention of dementia prevention were examined using structured self-report questionnaires. Statistical analysis was performed by stepwise multiple regression using SPSS for Windows version 21. Results: Self efficacy, alcohol drinking, perceived barrier and education level were significant factors, which explained 32% of the variance in dementia preventive behavior intention. Multiple regression analysis demonstrated that a powerful predictor of dementia preventive behavior intention of the elderly was self efficacy. Conclusion: Developing nursing intervention to enhance self efficacy toward improvement of dementia preventive behavior among elderly people would be recommended.

• 근관절건강학회지
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• 제26권2호
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• pp.102-110
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• 2019

Purpose: The purpose of this study was to investigate the factors affecting the quality of life of family caregivers of patients with Parkinson disease in Korea. Methods: A total of 162 family caregivers of patients with Parkinson disease who were visiting the D hospital in B city completed questionnaires, including general and disease-specific characteristics, family burden, patient-caregiver relationship satisfaction, family support and quality of life. Data were analyzed with t-test, ANOVA with $Scheff{\acute{e}}$ test, Pearson's correlation coefficient, and multiple regression analysis using SPSS 23.0. Results: The average score of the quality of life was $85.54{\pm}17.74$ (range: 26~130) among family caregivers of patients with Parkinson disease. Stepwise multiple regression analysis revealed that fifty percent of the quality of life was explained by family support, family burden, and patient-caregiver relationship satisfaction. Conclusion: Family support, family burden, and patient-caregiver relationship satisfaction were identified as factors affecting the quality of life of family caregivers of patients with Parkinson disease. Therefore, it is necessary to develop a program to enhance family support and reduce family burden to improve the quality of life of family members caring for patients with Parkinson disease.

• 디지털융복합연구
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• 제16권4호
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• pp.231-249
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• 2018

본 연구 목적은 종합병원 의료종사자 감염관리 표준주의에 대한 지식, 태도, 안전환경 및 인지도가 표준주의 수행도에 미치는 영향요인 분석으로 연구방법은 서술적 조사연구이며 대상은 종합병원 의료종사자 262명으로 표준주의에 대한 지식, 태도, 안전환경, 인지도 및 수행도를 측정하는 설문지를 이용하였다. 자료분석은 SPSS 프로그램을 이용하여 기술통계, t-test, ANOVA, Pearson's correlation coefficient, Multiple regression으로 분석하였다. 연구결과 표준주의에 대한 수행도는 태도(r=.18, p=.003), 안전환경(r=.42, p<.001), 인지도(r=.63, p<.001)와 양의 상관관계로 나타났으며 다중회귀분석 결과, 표준주의 수행도에 영향을 미치는 요인은 인지도(${\beta}=0.57$)와 안전환경(${\beta}=0.31$)이었다. 따라서 표준주의 수행 향상을 위해 인지도와 안전환경을 향상시키고 직종별 특성을 고려한 차별화된 감염관리 교육프로그램과 모니터링이 요구된다.

• 한국항해항만학회지
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• 제30권1호
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• pp.35-43
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• 2006

본 연구는 교통안전공단과 사단법인 녹색교통운동이 공동으로 개발한 교통문화지수와 관련한 2002년과 2003년의 전국 81개 도시 자료를 토대로 통계적 분석을 행하여 이들 대상도시들을 유형화하고, 집단별 영향요인에 근거하여 교통사고 예방대책들을 제시하고자 하였다. 먼저 교통문화지수와 영향요인들에 대한 주성분분석 결과로는 4개의 주성분으로 구분 지울 수 있었으며, 도시 특성별 최적 집단 수는 4개가 적합한 것으로 나타났다. 또한 이들 유형화된 집단별 교통문화지수에의 영향요인을 단계별 다중 회귀분석법을 이용하여 분석한 결과, 4개 집단 모두 높은 설명력을 갖는 회귀모형을 구축할 수 있었다. 이에 따라 각 집단별 교통사고 예방대책들을 구체적으로 제시할 수 있었으며, 아울러 투자된 시설이 얼마나 교통사고 예방에 효과적이었는가를 분석할 필요성이 있음을 향후의 연구 과제로 제시하였다.

• 한국농공학회지
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• 제26권2호
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• pp.106-124
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• 1984

Monthly streanflow of watersheds is one of the most important elements for the planning, design, and management of water resources development projects, e.g., determination of storage requirement of reservoirs and control of release-water in lowflow rivers. Modeling of longterm runoff is theoretically based on water-balance analysis for a certain time interval. The effect of the casual factors of rainfall, evaporation, and soil-moisture storage on streamflow might be explained by multiple regression analysis. Using the basic concepts of water-balance and regression analysis, it was possible to develop a generalized model called the Regionalized Regression Model for Monthly Streamflow in Korean Watersheds. Based on model verification, it is felt that the model can be reliably applied to any proposed station in Korean watersheds to estimate monthly streamflow for the planning, design, and management of water resources development projects, especially those involving irrigation. Modeling processes and properties are summarized as follows; 1. From a simplified equation of water-balance on a watershed a regression model for monthly streamflow using the variables of rainfall, pan evaporation, and previous-month streamflow was formulated. 2. The hydrologic response of a watershed was represented lumpedly, qualitatively, and deductively using the regression coefficients of the water-balance regression model. 3. Regionalization was carried out to classify 33 watersheds on the basis of similarity through cluster analysis and resulted in 4 regional groups. 4. Prediction equations for the regional coefficients were derived from the stepwise regression analysis of watershed characteristics. It was also possible to explain geographic influences on streamflow through those prediction equations. 5. A model requiring the simple input of the data for rainfall, pan evaporation, and geographic factors was developed to estimate monthly streamflow at ungaged stations. The results of evaluating the performance of the model generally satisfactory.