• Child Health Nursing Research
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• v.26 no.2
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• pp.222-237
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• 2020

Purpose: The purpose of this study was to analyze the concept of social support of nursing students using a hybrid model and to derive a definition and attributes of social support through theoretical, fieldwork, and final analysis stages. Methods: Twenty-nine studies were analyzed in the theoretical stage. Seventeen in-depth interviews were conducted with nursing students in the fieldwork stage. In the final analysis stage, the concept of social support was defined and the attributes were derived by integrating the theoretical and fieldwork stages. Results: The attributes of social support of nursing students identified in the final analysis consisted of two dimensions and eight attributes. The two dimensions were structural and functional support. The eight attributes were social network, educational, emotional, informational, economic, positive evaluation, self-esteem support, and support by providing a role model provision. The structural dimension included the social network support attribute. The functional dimension included the remaining seven attributes. Educational support and support by providing of a role model provision were newly derived attributes that reflected specific characteristics of nursing students. Conclusion: Based on the results of this study, we suggest that researchers should attempt to develop a scale to measure the social support of nursing students.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.3
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• pp.333-341
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• 2021

Purpose: The purpose of this study was to examine the predicting factors of nursing work performance. Methods: The participants in this study were 148 nurses working in S university hospital in P city. The scales included social support, health promoting lifestyle profile-II (HPLP-II), and nursing work performance. A descriptive analysis and stepwise multiple regression were used for data analysis. Results: Significant correlations were found among social support, health promotion behaviors and nursing work performance. The significant predictive factors of nursing work performance were the emotional support subscale of social support (β=.31, p<.001) and the interpersonal relations subscale of health promotion behaviors (β=.32, p<.001). These two subscales explained 27% of nursing work performance. Conclusion: Nursing education programs should include an emphasis on developing methods of emotional support and interpersonal relations in order to improve nursing work performance among clinical nurses.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.1
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• pp.34-41
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• 2016

Purpose: This study was conducted in order to explore the factors affecting the hope in nursing students. Methods: A total of 166 nursing students participated in the study. Data was analyzed using SPSS WIN 18.0. Results: The mean scores for social support, self-efficacy, and hope were above-average level. There were significant mean differences in hope according to religion, academic achievement, and satisfaction with nursing majors. Hope correlated positively with social support and self-efficacy. The significant predictors of hope included social support and satisfaction with the nursing major. The regression model explained 12.7% of hope. Conclusion: To improve hope in nursing students, nursing educators should focus on promoting their social support and satisfaction with the nursing major.

• The Journal of Korean Society for School & Community Health Education
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• v.14 no.2
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• pp.15-27
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• 2013

Objectives: The purpose of this study was to analyze factors affecting college adjustment and academic adjustment among nursing students according to social support. Methods: This study was a descriptive survey and questionnaires were collected from 290 nursing students from 2 colleges located in J province consented to participate in the study. Data were analyzed using frequency, percentage, mean, standard deviation, independent t-test, one-way ANOVA, scheff$\grave{e}$ test, pearson correlation, and hierarchical multiple regression. Results: In the model individual characteristics accounted for 17.2% of the influence on college adjustment and 9.9% of the influence on academic adjustment. In the model II with the addition of the 4 factors; tangible support, appraisal support, belonging support, self-esteem support and individual characteristics accounted for 39.5% of the influence on college adjustment and 22.8% of the influence on academic adjustment. Appraisal support and belonging support of the social support sub-variables were statistically useful as factors influencing college adjustment and self-esteem support was statistically useful as factors influencing academic adjustment. Conclusion: Social support for nursing students has great influence on college adjustment and academic adjustment of nursing students.

• Journal of Korean Academy of Nursing
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• v.30 no.6
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• pp.1503-1520
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• 2000

The purpose of the present study is 1) to explain major effect models (main, moderating, and mediating) of social support and statistical methods for testing the effect models and 2) to analyze and evaluate the consistency in the use of the effect models and its statistical methods in Korean nursing studies. A total of 57 studies were selected from Journal of Korean Academy of Nursing, Journal of Korean Academic Society of Adult Nursing, Journal of Korean Women's Health Nursing Academic Society, Journal of Fundamentals of Nursing, Journal of Korean Community Nursing, Journal of Korean Psychiatric and Mental Health Nursing Academic Society, and Journal of Korean Pediatric Nursing Academic Society published in the year of 1990-1999. In results, most studies on social support performed in Korea Nursing Society were about a main effect model. There are few studies on moderating or mediating model of social support. Thus, it was difficult to find research findings how, why, under what conditions social support impacted on health outcomes. Most studies on the moderating or mediating effect model of social support used statistical methods for testing main effect model rather than for testing moderating or mediating effect model. That is, there are inconsistency between effect models of social support and its statistical methods in Korean nursing researches. Therefore, it is recommended to perform studies on moderating or mediating effect model and use appropriate statistical methods.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.19 no.1
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• pp.63-73
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• 2012

Purpose: The purpose of this study was to determine the factors related to the social support, family and friend support as well as home care nurse support, in family caregivers of patients with home care service. Method: The participants were 111 family caregivers of patient, who were receiving home care services from home health care centers of 3 different general hospitals located in Seoul. The data was collected, using self-administered questionnaires. Result: The level of family and friend support varied significantly according to patients' mental status, period of home care nursing, frequency of home care service, caregiver's education level, family income, and family functioning level. On the other hand, home care nurse support varied significantly according to patients' mental status, caregiver's age, existence of interchangeable family caregivers, and family functioning level. There was a significantly positive correlation between the social support the family caregivers' perceived and family function while there was a negative correlation between family and friend support and the period of home care service. Conclusion: Thus, the establishment of nursing interventional program, with understanding of their social support, is needed for both patients and their caregivers.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.1
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• pp.125-135
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• 2019

Purpose: This study was conducted to determine the mediator effect of social support in the association between stress for college life and depression among nursing students. Methods: The participants of the study were 201 university students in A and C cities. Self-report questionnaires were used to measure the variables. In the data analysis, the SPSSWIN 25.0 program was utilized for descriptive statistics, Pearson's correlation, Sobel test and multiple regression analysis. Results: Mean scores of stress for college life, depression and social support were 2.56, 4.12 and 0.61, respectively. Stress for college life and depression showed a significant positive correlation (r=.60, p<.001), while depression and social support showed a significant negative correlation (r=-.46, p<.001). Lastly, stress for college life and social support showed a significant negative correlation (r=-.55, p<.001). The analysis of the mediator effect of social support in the association between stress for college life and depression showed that social support had a significant mediator effect. Conclusion: Among nursing students, social support may be a mediator in the association between stress for college life and depression. Therefore, strategies for nursing intervention to improve social support should be developed for nursing students.

• Women's Health Nursing
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• v.4 no.3
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• pp.297-308
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• 1998

The purpose of this study was to define whether NSILQ is useful for the nursing student in supporting women labor room(Nursing Support in Labor Questionnaire). The retrospective study was conducted to identify the helpfulness of nursing student support behaviors as perceived by women in Labor. This sample of 152 women completed two data collection instruments : a demographic & obstetric questionnaire(12) and NSILQ(20). The data were analyzed by Cronbach alpha, descriptive statistics, t-test, ANOVA with SAS program. The result of this study are as follows. 1. All of NSILQ nursing behaviors were perceived as helpful in this study. The total mean of perceived score was $3.4{\pm}0.90$. 2. According to the type of nursing support, the mean of Affect(AT) care was $3.48{\pm}0.79$, the mean of Aid(AD) care was $3.37{\pm}0.82$, the mean of Affirmation(AM) care was $3.35{\pm}0.90$. Among the type of care, the AD care was 52.2%, and the most helpful one. 3. The significant characters of nursing support are antenatal care numbers and husband with or not in labor process. In the group of score of nursing support, the number of antenatal care was low(F=3.90, P=0.02). The score of the group husbands in labor process was higher.(T=4.55, P=0.001). 4. The significant characters of influencing on nursing support required are the person who helped and whether women has job or not. 5. The highest numbers of wanting nursing support are Aid cares(74.3%). The care the women wanted mostly was Aid cares (74.3%; pain control in labor(56.6%), physical comfort(6.6%), coach in labor(3.9%), explain of dilatation(1.3%) in rank.

• Journal of East-West Nursing Research
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• v.14 no.2
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• pp.39-46
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• 2008

Purpose: The study was undertaken from June 1 to July 15, 2008 to assess the effect of social support on self-esteem and life satisfaction in elderly volunteers. Methods: Social support, self-esteem, and life satisfaction were determined using previously established and accepted methods. Data analyses included frequency, ANOVA, t-test, Pearson correlation coefficient, and simple regression. Results: Subjects' social support, self-esteem, and life satisfaction were closely related. The relationships of social support/self-esteem, social support/life satisfaction, and self-esteem/life satisfaction were significant. Social support accounted for 15% of self-esteem and 12% of life satisfaction. Conclusions: Social support is a very important factor influencing self-esteem and life satisfaction of the elderly. Social support, which sustains the mental health of the elderly, represents one of the best strategic nursing interventions.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.1
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• pp.1-9
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• 2015

Purpose: This study was done to identify the influence of nursing work environment and social support on multidimensional organizational commitment among nurses. Methods: The survey was conducted in August 2012 with self-report questionnaire. Participants were 480 registered nurses working in one general hospital. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation, and multiple regression using SPSS/WIN(16.0). Results: The average scores were; for affective commitment 2.84, for continuance commitment 2.48, and for normative commitment 2.57. There were significant relationships between affective, continuance, normative commitment and sub-factors of nursing work environment and social support. The affective, continuance, and normative commitment were all influenced by 'staffing and resource adequacy' and 'nursing foundations for quality of care', sub-factors of nursing work environment. Distinctively, affective commitment was influenced by 'staffing and resource adequacy', nurses' age, 'nurse-doctor relations', 'supervisor's emotional support', 'nurse participation in hospital affairs', 'nursing foundations for quality of care', and 'supervisor's informational support', which explained 30.9% of variance in affective commitment(F=31.57, p<.001). Conclusion: The findings show that programs which promote supervisors' emotional and informational support are important to enhance nurses' affective commitment. Also, it is necessary to improve nursing work environment to improve nurses' organizational commitment.