Hong, Minhee;Park, Youngrye;Chen, Eun Young;Yun, Jeong Woo;Oh, Mi Hwa
The Korean Journal of Rehabilitation Nursing
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v.20
no.1
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pp.61-68
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2017
Purpose: The purpose of this study was to examine the relationship between body esteem, stress, and health promoting behaviors among Korean adults in a community and to identify factors that influence health promoting behaviors. Methods: This study was conducted using a questionnaire which included item for body esteem, stress and health promotion behaviors. Data were collected from 257 adults living in Jeollabuk-do in Korea from November to December, 2015. The collected data were analyzed through descriptive statistics, Pearson's correlation coefficient, and stepwise multiple regression using the SPSS/WIN 21.0 program. Results: The mean score of body esteem was $2.73{\pm}0.43$, stress was $1.89{\pm}0.68$, and health promoting behaviors was $2.22{\pm}0.45$. There was a significant positive correlation between body esteem and health promotion behaviors (r=.47, p<.001), whereas there was a significant negative correlation between stress and health promotion behaviors (r=-.47, p<.001). In stepwise multiple regression analysis, body esteem, religion, education explained approximately 30.1% of health promoting behaviors (F=37.73, p<.001). Conclusion: The results in this study indicate that body esteem is the most important factor in health promoting behaviors among Korean adults. Thus, body esteem contents should be included in developing programs for adults to enhance their health promoting behaviors.
Purpose: This study was to identify the degree of health-promoting behavior and quality of life and the factors influencing quality of life of solitary elderly in rural areas. Method: The subjects of this study were 202 solitary elderly, and 65-89, who had been living in four rural areas. Data was collected through 4 questionnaires from July 10th, 2003 to August 30th, 2003. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Duncan's multiple-range test, Pearson correlation coefficient and Stepwise multiple regression with SPSS/PC. Results: The average item score for the health-promoting behavior was 2.43; the highest score on the subscale was self-actualization (M=2.58) with the lowest being exercise (M=2.05). 2) The average item score for the quality of life was 2.81; the highest score on the subscale was neighbor relationships (M=3.27) with the lowest being economic conditions (M=2.24). There were significant differences in the health-promoting behavior by educational level and leisure-activity, in the quality of life by age and religion. Quality of life scores correlated negatively with depression scores (r=-.063, p=.000) and positively with health-promoting behavior (r=.144, p=.000), social support scores (r=.383, p=.000). Stepwise multiple regression analysis for quality of life revealed that the most powerful predictor was health-promoting behavior. Health-promoting behavior, social support, depression and age explained 51.8% of the variance. Conclusion: These results suggested that elderly people in rural areas with high degree of quality of life are likely to be high in health-promoting behavior and social support and low in depression. Therefore, it is necessary to develop health promotion programs in due consideration of health-promoting behavior and social support and depression in order to enhance the quality of life of solitary elderly in rural areas.
Purpose: The purpose was to investigate the factors influencing the alcohol consumption behavior of adolescents to provide basic data for a nursing intervention program to improve health management and prohibit alcohol consumption. Method: The subjects were 306 university students, living in K city in Chungnam province from April 1 to 20th, 2002. The instruments used were the alcohol consumption behavior scale, that is the drinking intensity score, and developed by Shin(1998)'s scale of drinking problem, refusal self-efficacy scale by Aas et. al.(1995), alcohol expectancy by Goldman et. al. (1989), TPQ scale by Cloninger(1991), depression scale by Zung(1974), family cohesion scale by Olson et. al. (1983). The data were analyzed using descriptive statistics, Pearson correlation coefficient, t-test, ANOVA, and stepwise multiple regression by using SPSS & SAS program. Results: The multiple regression analysis revealed that the most powerful predictor of alcohol consumption behavior was the influence of friends (drinking everyday) (17.0%). A combination of alcohol expectancy (8.0%), influence of friends (4.0%), father's influence (2.0%), depression(2.0%), refusal self-efficacy (1.0%), personality of harm avoidance(1.0%), and monthly pocket money (2.0%) accounted for 38.6% of the variance in alcohol consumption behavior. Conclusion: From the results, we recommend to use the database that develops nursing intervention program for decreasing the alcohol consumption behavior including the influencing factors in university students.
Park, In-Sook;Song, Rha-Yun;Ahn, Suk-Hee;So, Hee-Young;Kim, Hyun-Li;Joo, Kyung-Ok
Journal of Korean Academy of Nursing
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v.38
no.6
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pp.866-873
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2008
Purpose: The study was done to compare quality of life by gender, and to identify factors which explain quality of life in individuals with coronary artery disease. Methods: For the survey, 91 individuals (53 men and 38 women) agreed to participate in the study. Cardiovascular risk factors, systolic blood pressure, body mass index, total cholesterol, triglyceride, high density lipoprotein-cholesterol, and low density lipoprotein-cholesterol, health behavior as well as quality of life, were measured. Descriptive statistics, t-test, correlation and hierarchical multiple regression with SPSS WIN 12.0 were used to analyze the data. Results: Significant gender differences were found for education, smoking status, chronic disease, perceived health status, and quality of life within sub-dimensions. Hierarchical regression analysis showed gender (men), age, perceived health status, cardiovascular risk scores, and health behaviors together explained 40.2% (adjusted $R^2$) of variance in quality of life. Conclusion: As the factors explaining quality of me in individuals with coronary artery disease have been identified as gender (men), age, perceived health status, and health behaviors, health promotion programs designed for this population should focus on these factors for effective behavioral modification, and consequent improvement in quality of life.
The Journal of Korean Academic Society of Nursing Education
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v.24
no.4
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pp.326-336
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2018
Purpose: This study was conducted to identify the factors affecting nursing students' attitudes toward nurse-physician collaboration. Methods: The subjects were 200 nursing students from a college in K city, and the participants were recruited by posting a recruitment announcement. Data were collected from June 26 to 29, 2018 and analyzed using SPSS 22.0 and descriptive statistics, t-test, ANOVA, Sheff? test, Pearson's correlation coefficients, and hierarchical multiple regression. Results: Attitudes toward nurse-physician collaboration showed a statistically significant difference according to grade, the reflection of opinion within the family, and the number of the counselor in general characteristics. Assertiveness and attitudes toward nurse-physician collaboration showed weak positive correlation (r=.18, p=.011). In hierarchical multiple regression analysis, the most affecting factor was junior grade (${\beta}=.25$), followed by positive assertiveness (${\beta}=.18$) and the number of the counselor (${\beta}=.14$). These variables explained 12.0% of the total variance in attitudes towards nurse-physician collaboration. Conclusion: To create positive attitudes toward collaboration between nurses and physicians in nursing students, various educational programs related to assertiveness on communication skills need to be provided from the lower grades. Also, a multidisciplinary simulation program should be developed and applied to be able to experience the situation of nurses and physicians.
Purpose: The purpose of this study is to compare health promotion behavior and influencing factors between aged women of rural areas and urban areas, to investigate factors affecting their behavior, and to provide the primary data for developing heath enhancing program that is appropriate for the population. Method: A survey was conducted on 221 aged women 100 from urban areas and 121 from rural area. The data were collected through a questionnaire and interview. Descriptive statistics, ANOVA and multiple stepwise regression were found by using SPSS PC Win. Package. Result: There were significant difference of factors relating health promotion behavior in Pender model between the aged women in urban areas and rural areas, urban women showed higher scores in factors such as previous heath relating behavior, perceived confidence, self-efficacy, social support, satisfaction with marriage, situational influence, and behavioral plan involvement, while rural women showed higher scores in the factors of fixed idea regarding gender role, perceived disabled feeling, and activity related emotions. At the subscale of HPLP, interpersonal relation, nutrition, health responsibility, stress management, spiritual growth of rural group was lower than urban group. With the multiple stepwise regression analysis, commitment to a plan of action, social support, activity related affect, self efficacy were proved to be significant to urban group, while commitment to a plan of action. activity related affect, social support, sex-role stereotype were proved to be significant to rural group statistically. Conclusion: There were differences of health promotion behavior and influencing factors between aged women in urban areas and rural areas and women in rural areas were found to have more weakness than women in urban areas. With the results, it is concluded that health promotion programs for aged woman should be designed differently between urban and rural area regarding the factors affecting health promotion behaviors.
Purpose: This study was conducted to investigate the incidence and associated factors with post-traumatic stress disorders (PTSD) in patients with intensive care units (ICU) admission experience. Methods: This study is a retrospective observational study using self-reporting questionnaire. Patients who were admitted to ICU more than 72 hours and agreed to participate were enrolled in this study. PTSD were assessed by Korean version of post-traumatic diagnosis scale, and PTSD was defined as 20 points or more. Medical records of participants were reviewed to identify influencing factors of PTSD. To analyzed the data, descriptive statistics, Mann-Whitney U test, Kruskal-Wallis test and gamma regression were utilized using SPSS/WIN 23.0 program. Results: A total of 128 patients participated in the study. Mean age of participants was 58.3±11.7 years and 50 patients (39.1%) were female. Mean duration of ICU stay was 8.43±8.09 days and PTSD was diagnosed in 12 patients (9.4%). In the results of a Gamma regression analysis, Psychiatric history (B=1.09, p=.002), APACHEII score (B=.04, p=.005), CPR experience (B=1.65, p=.017) and physical restraint (B=.68, p=.049) were independently associated with PTSD occurrence. Conclusion: The results of this study suggest that a various factors influencing PTSD should be identified to prevent PTSD in patients who requires ICU care. In addition, post-ICU care programs are required to assess and reduce PTSD.
Journal of Korean Academy of Fundamentals of Nursing
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v.25
no.3
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pp.176-184
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2018
Purpose: Purpose of this study was to investigate relationships and influence of peripheral neuropathy, sleep, and quality of life in patients with gastric cancer who are receiving chemotherapy. Methods: Participants were 131 patients with gastric cancer being treated at a chemotherapy outpatient clinic and receiving chemotherapy. Data were analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis with the SPSS program. Results: Mean score for peripheral neuropathy was 24.66, for sleep, 6.71 and for quality of life, 67.69. Peripheral neuropathy had a significant positive correlation with sleep (r=.26, p=.003) and sleep had a significant negative correlation with quality of life (r=-.50, p<.001). The regression model explaining quality of patients'lives was significant (F=11.91, p<.001), peripheral neuropathy, sleep, and pain due to anticancer drugs and number ofneurotoxic anticancer drugs explained 25.1% of the variance in quality of life and sleep was the most important factor. Conclusion: To improve the quality of life for these patients, individualized nursing interventions for pain should be provided according to number of anticancer drugs in the chemotherapy. Also there is a need to identify ways to assess peripheral neuropathy and sleep disorders that are appropriate in the treatment and reduce side effects during treatment.
Purpose: The purpose of this study was to investigate associations between self-management and diabetes knowledge, diabetes-related attitudes, family support, and self-efficacy in adolescents with type 1 diabetes mellitus based on the information-motivation-behavior skills model. Methods: Data collection was conducted between March 18 and September 30, 2018. Patients (N=87) aged 12 to 19 years were recruited from the outpatient clinic of S children's hospital and an online community for patient with type 1 diabetes mellitus. Data were analyzed using descriptive statistics, the independent t-test, one-way ANOVA, Pearsons correlation, and hierarchical multiple linear regression with SPSS IBM 23.0, with the two-tailed level of significance set at 0.05. Results: The mean score of self-management in adolescents with type 1 diabetes mellitus was $61.23{\pm}10.00$ out of 80. The regression analysis showed that self-efficacy and family support significantly explained 56.9% of the variance in self-management (F=21.38, p<.001). Self-efficacy (${\beta}=.504$, p<.001) and family support (${\beta}=.188$, p<.001) were significant predictors of self-management. Conclusion: It is necessary to develop individual interventions to improve self-efficacy and family support for adolescents with type 1 diabetes mellitus to help them enhance their self-management.
Objectives: The purpose of this study was to examine oral health literacy in a sample of Korean of 5th and 6th grade elementary school children. Methods: Data were obtained from a convenience sample of 274 $5^{th}$ and $6^{th}$ grade children from two elementary schools located in Seoul and Uijeongbu. The oral health literacy assessment tool for children of Korea (OHLC-K) takes approximately 11 minutes to complete, and consists of 20 self-report questions with a score range of 0 to 20. Item analysis, descriptive statistics, correlation and multiple linear regression were performed using SPSS 23.0 and testAn 1.0. Results: The lowest and highest percentage of correct answers were found in "Definition of periodontal disease (19.3%)" and "Definition of halitosis (92.7%)," respectively. The mean score for oral health literacy was found to be $14.95{\pm}2.83$, corresponding to a score of approximately 75% correct answers. The correlation coefficient for Korean and OHLC-K scores was high (r=.73, P<.01). In the multiple linear regression, oral health literacy was associated with grade and gender. Conclusion: The present findings revealed that a quarter of the subjects were likely to misunderstand oral health information. Oral health education is indispensable to all children and, therefore, it is necessary to pay greater attention to children who exhibit poor oral health literacy.
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