• Korean Journal of Adult Nursing
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• v.20 no.4
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• pp.573-587
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• 2008

Purpose: The purpose of this study was to identify the factors affecting sleeping patterns among hospitalized elderly. Methods: A descriptive correlational study was conducted. Participants were 121 hospitalized elderly in a hospital located in a county. A structured questionnaire was used for data collection. Collected data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation, and stepwise multiple regression. Results: Almost a half of hospitalized elderly in this study suffer from sleep disturbances. As results of univariate analyses, physical symptoms, anxiety, depression, and environmental factors disturbed sleep among hospitalized elderly. However, the result of stepwise multiple regression analysis identified that anxiety and environmental factors were significant predictors of sleeping patterns for hospitalized elderly and these two factors accounted 32.5% of variance of sleeping patterns among hospitalized elderly. Conclusion: Sleep assessment should be conducted on admission to identify sleep difficulties and thereby to improve quality of nursing care. Nurses and other health care personnels should make efforts to decrease anxiety and to eliminate environmental barriers of sleep among hospitalized elderly. Educational programs for nursing staff that offer information about sleep and sleep promoting interventions for the elderly patients are critical. Moreover, sleep promotion intervention program should be developed, applied and evaluated.

• Korean Journal of Health Education and Promotion
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• v.22 no.4
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• pp.155-166
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• 2005

Objectives: The purpose of this study was to examine factors influencing the mental health of high school students in relation to sociodemographic variables, family function, self-esteem, social support, and self-identity. Methods: The survey was carried out on a convenience sample of 332 high school students. Data analysis procedure included stepwise regression using mental health as the dependent variable, and sociodemographics, family function, self-esteem, social support, and self-identity, as independent variables. Results: Stepwise multiple regression revealed that the factors such as self-esteem(${\beta}=0.422$, p<0.001), self-identity(${\beta}=0.166$, p<0.001), and sex(${\beta}=-0.165$, p<0.001) turned out to be significant affecting factors. Twenty seven percent of varience in mental health was explained by these factors(22% of varience by self-esteem). Conclusion: Self-esteem was turned out to be the most important effective factor of mental health in high school students. These results suggest that it is important for high school students to promote their self-esteem to keep their good mental health.

• Research in Community and Public Health Nursing
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• v.27 no.1
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• pp.43-50
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• 2016

Purpose: The purpose of this study was to investigate the relationship of depression and smartphone dependency with female college students' career decision-making self efficacy. Methods: This was a descriptive study. The survey participants were 497 female college students in M City and S City. Data were collected from November 16 to December 4, 2015 using self-report questionnaires including BDI (Beck Depression Inventory), Smartphone Dependency Scale, and CDMSES-SF (Career Decision-Making Self Efficacy Scale-Short Form). Data were analyzed through descriptive statistics, independent-samples t-test, ANOVA, and stepwise multiple regression. Results: Career decision-making self efficacy showed significant differences according to religion. Smartphone dependency was found to have a statistically significant negative correlation with career decision-making self efficacy and a positive correlation with depression. Depression was found to have a statistically significant negative correlation with career decision-making self efficacy. Stepwise multiple regression analysis revealed that the predictors of career decision-making self efficacy were depression (7.1%), religion (1.8%), and smartphone dependency (1.3%), accounting for a total of 10.6% of the variance. Conclusion: This study suggests that interventions to promote female college students' career decision-making self efficacy should consider their depression, religion, and smartphone dependency.

• Journal of Korean Academy of Nursing
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• v.12 no.2
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• pp.31-44
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• 1982

The purpose of this study was to analyze the relationship between maternal attachment and discharge against advice in high risk infants and determine the factors which affect discharge against advice. Data of this study were collected by means of reviewing the medical records of 127 in-patients who were diagnosed as high risk infants in admission and interviewing of the mothers of these patients was done by telephone. The high risk categories were neonatal hyperbilirubinemia, congenital anomaly, congenital heart disease, blood disorder, neonatal infection and birth injury. Maternal attachment was measured by deviding the subjects into 2 groups, the one the continuing treatment group and the other the discharge against advice group. Maternal attachment is determined by an interplay of maternal attitude and specific infant behaviors. Maternal attachment developes through continuous physical and psychological contact between mother and infants. Later it developes into maternal love. The results were as follows: 1. There was a significant association between maternal attachment and discharge against advice, that is, the attachment score was higher in the continuing treatment group. 2. Inspite of controlling medical insurance, severity of disease and the length of stay, it was found that there continued to be either a partially significant or fully significant relationship between maternal attachment and discharge against advice. Stepwise multiple regression revealed that maternal attachment was second in importance as a predictor of discharge against advice, which indicates that maternal attachment was a significant predictor of discharge against advice. 3. Stepwise multiple regression revealed that in 32.3％ of these cases the significant predictors of discharge against advice were length of stay, maternal attachment, delivery type, feeding type and income.

• Journal of Families and Better Life
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• v.8 no.2
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• pp.101-118
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• 1990

The purpose of this study is to examine the stress level and factors percepted by the married women during family life, and to identify the related variables influencing on stress level. For this purpose, questionnaires were distributed to the 650 married women who have been living in seoul. Among them 463 data were selected. For data analysis, the statistical method such as the factor analysis frequency distribution percentile , t-test, ANOVA, Duncan's Multiple Range Test and Stepwise Regression Analysis were used. the major findings were summarized as follows; 1) The general tendancy of the stress level percepted by the married women during family life was relatively low. 2) The household background variables(age, level of education, income, type of family, number of children, status of employment ) have turned out to be significant on the stress level of married women except family type. 3) All the social-psychological variables(socio-economic status, communication interaction, resources perception, psychological satisfaction) showed significant differences according to the stress level percepted by the married women during family life. 4) The level of work identity was the important factor on the stress level percepted by the married women during family life. 5) In Stepwise Multiple Regression Analysis, the married women's stress level during family life was greatly influenced by variables such as the resource perception and the psychological satisfaction.

• Child Health Nursing Research
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• v.7 no.2
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• pp.203-212
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• 2001

The subjects were 349 high school boys and girls who were 10th and 11th graders in Seoul, Korea. Statistical analysis included percentages, means, Pearson correlation coefficient, ANOVA, t-test, and stepwise multiple regression analysis. As a result, there were positive correlations between social support, stress reduction and increases in health behavior. Stepwise multiple regression analysis of social support, stress, and adolescents health behavior showed that social support explained 26.3％ of the variance in health behavior, The more social support subjects experienced more health behavior level and the less the correlated stress level. In the area of demographic attributes, gender, height, weight, grade level, socioeconomic level of the parents, and stress were significantly correlated, grade levels, religion, socioeconomic level of parents and social support. sibling order, religion, socioeconomic level of the parents, parents education, occupation of father. and health behavior were statistically significant The findings indicated stress was a negative factor in health behavior, and social support was a positive factor in reducing stress and promoting health behavior. To reduce adolescents stress and to promote health behavior, we should endeavor to develop realistic social support programs.

• Journal of East-West Nursing Research
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• v.21 no.1
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• pp.78-84
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• 2015

Purpose: The purpose of this study was to investigate the relationship between self-esteem, social support, smartphone dependency and internet game dependency of college students. Methods: This was a descriptive study. The survey participants were 299 college students in M city and I city. The data were collected from June 2 to June 20, 2014 and self-report questionnaires including Self-Esteem Scale, Multidimensional Scale of Perceived Social Support, Smartphone Dependency Sale, Internet Game Dependency Scale. Data were analyzed by descriptive statistics, independent-sample t-test, ANOVA, stepwise multiple regression. Results: Social support & smartphone dependency showed significant differences according to gender. Smartphone dependency was found to have a statistically negative correlation with self-esteem, social support and positive correlation with internet game dependency. Internet game dependency was found to have a statistically negative correlation with self-esteem, social support. Social support was found to have a statistically negative correlation with self-esteem. Stepwise multiple regression analysis revealed that the significant predictors of smartphone dependency were internet game dependency, gender, self-esteem, accounted for 16.6% of the variance. Conclusion: It is necessary for reduction program of college students' smartphone dependency that consider their internet game dependency, gender, self-esteem.

• Journal of East-West Nursing Research
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• v.17 no.2
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• pp.149-155
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• 2011

Purpose: The purpose of this study was to examine the effect of depression and self-efficacy on health promotion behavior in elders living alone in rural area. Methods: This was a descriptive study. The survey participants were 369 elders living alone in rural area. The period of time for data collection was from June 23 to August 7, 2008. Data were analyzed by descriptive statistics, independent-samples t-test, ANOVA, pearson's correlation coefficient, and stepwise multiple regression. Results: Depression was found to have a statistically negative correlation with health promotion behavior. Self-efficacy was found to have a statistically positive correlation with health promotion behavior. Stepwise multiple regression analysis revealed that the most powerful predictor of health promotion behavior was depression. Depression, self-efficacy, number of chronic disease, and economic status accounted for 35.2% of the variance. Conclusion: It is necessary to prepare health promotion programs that can reduce depression level and improve self-efficacy in elders living alone in rural area.

• Korean Journal of Adult Nursing
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• v.18 no.3
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• pp.377-385
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• 2006

Purpose: This study were to examine the relationship among chronic pain, pain beliefs, pain coping, and fatigue and to define the main factors influencing chronic pain in the elderly. Method: Data were collected by self-reported questionnaires from 276 Korean elderly. Data analysis was done with SPSS 10.1 for descriptive statistics, t-test, ANOVA, Pearson Correlation Coefficient, and Stepwise multiple regression. Results: Chronic pain score was 5.45, which was slightly higher than the average. There were significant differences in chronic pain according to age, marital state, economic state, and duration of pain. There was a significant positive correlation between chronic pain and pain beliefs, passive pain coping, physical fatigue and mental fatigue. In addition, there was a significant negative correlation between chronic pain and active pain coping. Stepwise multiple regression analysis showed that 44% of the variance in chronic pain was significantly accounted for by passive pain coping(31%), pain beliefs(8%), physical fatigue(4%), and active pain coping(1%). Conclusion: These results suggested that pain beliefs, pain coping, and fatigue can be influencing factors on chronic pain for the elderly. Also, the findings can provide a basis for nursing intervention development to effectively manage chronic pain for the elderly.

• Research in Community and Public Health Nursing
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• v.27 no.2
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• pp.173-182
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• 2016

Purpose: This study was conducted to survey female Vietnamese marriage immigrants' life stress and to analyze factors influencing their life stress and coping strategies. Methods: As descriptive correlation research, this study conducted a survey with 182 conveniently sampled subjects. Data were collected in June, 2015, and analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression. Results: The subjects' life stress levels were above average, and significantly varied according to their health, and economic status. Stress coping strategies used by the subjects included assistance seeking, problem avoidance, wishful thinking, problem solving, and emotional alleviation in the order of frequency. As a result of the stepwise multiple regression, economic level, economic activity, and health status were found to be the most significant factors influencing the subjects' life stress, and these variables explained 45.1% of the variation in life stress. Conclusion: Female marriage immigrants were experiencing above-average life stress, and they were coping with it mainly in terms of assistance seeking or problem avoidance. In order to mitigate their stress, therefore, it is necessary to provide extended employment opportunities and economic activities for them so that they can cultivate their abilities in health management.