• 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.

• The Korean Journal of Health Service Management
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• v.11 no.4
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• pp.145-155
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• 2017

Objectives : To investigate the factors affecting bone mineral density in across stratified postmenopausal ages. Methods : Data from 1,698 subjects who completed the 2010-2011 National Health and Nutrition Survey were analyzed using SPSS Statistics 21.0 The $x^2$ test and one way (ANOVA) were used to verify the relationship between general characteristics and health behaviors and the prevalence of osteoporosis. Logistic regression analysis was used to verify the factors Influencing bone mineral density. Results : The bone mineral density distribution was the highest among those with osteopenia, with proportions of 21.8% in healthy subjects, 58.1% in osteopenia, and 20.0% in those with osteoporosis. The distribution of osteoporosis by age group was 5.2% among subjects in their 50s, 15.4% among those in their 60s, and 42.4% among those in their 70s. In multivariate logistic regression analysis, the prevalence of osteoporosis according to ages was significantly correlated with age, educational level, body mass index(BMI), and parity 4 of more than 1-2 babies. Conclusions : Although age is an uncontrollable factor in the prevention of osteoporosis, educational level and BMI are correctable factors to maintain bone mineral density. There is a need to maintain healthy BMI and expand osteoporosis prevention education.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.25 no.2
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• pp.89-98
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• 2018

Purpose: The purpose of this study was to examine the relationship of psychosocial wellbeing status and self leadership with job satisfaction of fire officers. The effects of these variables on job satisfaction were also examined. Methods: The study design was a descriptive, correlational design. For this study, data were collected from 189 fire officers in B metropolitan city, K and Y cities. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, and multiple regression analysis with SPSS 21.0 program. Results: The results showed that job satisfaction had a significant correlation with psychosocial wellbeing status (r=-.38, p<.001) and self leadership (r=.26, p<.001). Psychosocial wellbeing status had a significant correlation with self leadership(r=-.47, p<.001). Multiple regression analysis for job satisfaction revealed that the most powerful predictor was psychosocial wellbeing status followed by self leadership. Pychosocial wellbeing status, self leadership, age, marital status and current job task career explained 25.0% of the variance in job satisfaction. Conclusion: Findings indicate that various factors are related to the job satisfaction of fire officers. Based on the results of this study, further development and application of programs to improve fire officers' job satisfaction are needed.

• Korean Journal of Health Education and Promotion
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• v.21 no.3
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• pp.35-51
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• 2004

The purpose of this study was to identify the health promotion behavior(HPB) of the labor workers at the cement manufacturing company based on the Health Promotion Model by Pender(1996). Data were collected by self-reported questionnaire from 180 blue workers at the 2 cement factories under the permission of data collection and cooperation with managers in the factories. For data analysis, Descriptive statistics, t-test, ANOVA, Pearson correlation, Multiple regression with SPSS/PC + 10.0 version were used. The results were as follows: 1. The average scores for the HPB, consisted of 6 subdimensions was 2.74. The highest mean score was 2.88 in 'Exercise' and the lowest on was 2.58 'Responsibility of health'. 2. The score of the HPB was statistically different according to educational level(p<.00l), perceived health status(p<.00l) and satisfaction of working environment(p<.05). 3. HPB was positively related to age(p<.05), perceived health status(p<.00l), job satisfaction(p<.05), and satisfaction of working environment(p<.05), while it showed negative correlation with educational level(p<.01). 4. According to the results of multiple regression analysis, factors affecting HPB were perceived health status and education level explained 20.3% of variance. From this research findings, we need to different approach in develop health promotion program of Cement manufacturing company workers and focusing on improvement to job satisfaction and satisfaction of working environment.

• Korean Journal of Health Education and Promotion
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• v.21 no.3
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• pp.117-131
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• 2004

Purpose: This study was conducted to evaluate the health behaviors and to find out risk factors of blood pressure of adult women in a rural area. Method: The convenient sample consisted of 159 adult women who lived in G-gun. The data was collected using a self-report questionnaire for health behaviors and mercury type sphygmomanometer for BP, between Jun I and August 15, 2003. Health behaviors measured smoking, alcohol, salt, lipid, stress, exercise, coffee, BMI and medication. To accomplish the goal of study, descriptive statistics, t-test, $x^2$-test, ANOVA and multiple regression analysis were. performed with SPSS 10.0. Results: The average age of subjects was 49.2(SD7.34)years old. The average SBP and DBP of subjects were 126.22mmHg(SDl6.73) and 8 1.25mmHg(SDl 0.31). There were significant differences in smoking(p=.000), cigarette consumption(p=.001), smoking duration(p=.000), BMI(p=.033), medication (p=.001), family history(p=.000) between normotensive and hypertensive. The main risk factors on SBP were medication, age, BMI, family history and smoking duration by 35.7% of the total variance these variables explained SBP. The main risk factors on DBP were BMI, education and medication by 17.60% of the total variance these variables explained DBP. Conclusion: These results suggest that health professional have to emphasize prevention of obesity, lasting medication and no smoking for prevention and management of hypertension in community health promotion program.

• Korean Journal of Occupational Health Nursing
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• v.29 no.4
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• pp.325-332
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• 2020

Purpose: This study aimed to identify influencing factors on the stress of employees in large corporations by examining relationships between self-esteem, emotional intelligence, and mindfulness. Methods: A hundred and sixty four employees from large corporations completed self-reporting questionnaires during November and December, 2019. The collected data were analyzed with SPSS/WIN 22.0 using descriptive statistics, the t-test, ANOVA, correlation, and multiple regression analysis. Results: The scores were 2.96±0.40 for "self-esteem", 3.56±0.61 for "emotional intelligence", 4.01±0.04 for "mindfulness", and 2.21±0.79 for "stress response". A regression analysis identifying factors affecting the stress response of employees in large corporations showed that "mindfulness" was the most significant factor (β=-.58, p<.001), followed by "emotional intelligence" (β=-.21, p=.005) and "self-esteem" (β=-.16, p=.009). The explanatory power of these variables for the stress response of employees in large corporations was 48%. Conclusion: Our findings suggest that self-esteem, emotional intelligence, and mindfulness are significantly related to employees' stress response in large corporations. Therefore, stress response management programs should be developed to improve self-esteem, emotional intelligence, and mindfulness.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.1
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• pp.149-158
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• 2012

Purpose: The purpose of this study was to identify the factors influencing mental health among late elementary age children. Methods: The research design was a secondary data analysis. Data were collected from 746 students in grades 5 or 6, and analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and stepwise multiple regression with the SPSS/PC 18.0 program. Results: The average score of mental health was $3.42{\pm}0.55$. There were significant differences in mental health according to health status, economic status, scholastic performance, relationships with friends, relationships with the teachers, atmosphere of the home, number of siblings and the source of trouble. Stepwise multiple regression analysis showed influencing factors of stress, negative reaction under stress, self-esteem, teacher support, and friend support support and explained 41.4% of total variance in late elementary age children's mental health. Conclusion: These results may contribute to a better understanding of mental health in late elementary age children. The results of the present study indicate a need to develop nursing interventions to prevent and manage elementary school-age children's negative reaction under stress.

• Korean Journal of Adult Nursing
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• v.28 no.2
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• pp.226-236
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• 2016

Purpose: The aim of this study was to evaluate the nutritional status and to identify factors affecting malnutrition in hemodialysis patients. Methods: Data were collected from a convenience sample of 125 hemodialysis patients who agreed to participate in the study, between August 1 and October 4, 2014. Five structured questionnaires were used: Patient-generated Subjective Global Assessment, Simplified Nutritional Appetite Questionnaire, Self-rating Depression Scale, Fatigue Scale, and Family Support Scale. Data were analyzed by descriptive statistics, t-test, Mann-Whitney U test, ${\chi}^2$-test, and stepwise multiple regression analysis by using SPSS/WIN 22.0 program. Results: Of 125 patients, 30.4% were found to be malnourished. Malnutrition was related to age, family household income, depression, fatigue, social support, appetite, and levels of C-reactive protein and serum albumin. Stepwise multiple regression analysis showed that appetite, C-reactive protein level, fatigue, and albumin level were significant factors affecting malnutrition in hemodialysis patients. Conclusion: Regular and consistent nutritional assessment is essential in hemodialysis patients. Nurses who care for hemodialysis patients need to consider the factors identified from these findings when assessing their patients' nutritional status and needs.

• The Korean Journal of Rehabilitation Nursing
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• v.17 no.2
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• pp.97-103
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• 2014

Purpose: This study was conducted to identify the knowledge, attitude, and preventive health behavior of cancer in middle-aged men and to provide data for education program regarding cancer prevention. Methods: This study was a descriptive research using a questionnaire, which included 20 items for knowledge, 10 items for attitude, and 18 items for preventive health behavior of cancer. Data were collected from 140 middle-aged men. Descriptive statistics, t-test, one-way ANOVA and Pearson's correlation coefficients, and stepwise multiple regression analysis were used with SPSS/WIN 18.0 to analyze the data. Results: The mean score for knowledge of cancer was 11.58 (range 0~20), for attitude, 37.52 (range 5~50), and for preventive health behavior of cancer, 58.85 (range 18~90). Preventive health behavior of cancer showed a significantly positive correlation with knowledge (r=.27, p=.001) and attitude (r=.31, p<.001) toward cancer. In stepwise multiple regression analysis, knowledge and attitude toward cancer were significant factors affecting preventive health behavior of cancer. Those variables explained 12.5% of cancer preventive behavior. Conclusion: In order to develop a cancer prevention education program for middle-aged men, accurate knowledge and improving attitude should be considered. Furthermore, it is necessary to do further study with a larger random sample according to lifespan.

• Journal of Korean Academy of Nursing
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• v.40 no.4
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• pp.589-598
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• 2010

Purpose: The purpose of this study was to investigate the factors that increase of the risk for falls in low-income elders in urban areas. Methods: The participants were elderly people registered in one of public health centers in one city. Data were collected by interviewing the elders, assessing their environmental risk factors, and surveying relevant secondary data from the public health center records. For data analysis, descriptive statistics and multiple logistic regression were performed using SPSS version 14. Results: Stroke, diabetes, visual deficits, frequency of dizziness, use of assistive devices and moderate depression were statistically significant risk factors. The comorbidity of chronic diseases with other factors including depression, visual deficit, dizziness, and use of assistive devices significantly increased the risk of falls. From multiple logistic regression analysis, statistically significant predictors of falls were found to be stroke, total environmental risk scores, comorbiditiy of diabetes with visual deficits, and with depression. Conclusion: Fall prevention interventions should be multifactorial, especially for the elders with stroke or diabetes, who were identified in this study as the high risk group for falls. A fall risk assessment tool for low-income elders should include both the intrinsic factors like depression, dizziness, and use of assistive devices, and the extrinsic factors.