1.Analysis of Influencing Factors on Health Promoting Behavior in Middle-Aged Men.
Journal of Korean Academy of Adult Nursing 1999;11(3):557-569
This descriptive correlational study was undertaken to examine the degree of health promoting behavior, and to analyze the factors affecting those health promoting behaviors of middle-aged men. The subjects for this study were 215 men aged by 35-55 from three business enterprises located in Seoul and Inchon. Data collection was conducted through the use of 5 questionnaires and analysis of the data was done by used of descriptive statistics, t-test, ANOVA, Pearson Product Moment Correlation Coefficient and Stepwise Multiple Regression Analysis. The results of this study were as follows: 1. The average score of health promoting behavior was 2.58. And the average scores of the dimensions of health promoting behavior, i.e., self-actualization, interpersonal support, stress management, health responsibility, and exercise and nutrition were 2.92, 2.82, 2.48, 2.38 and 2.31 respectively. 2. There were significant differences in the health promoting behavior according to religion(F=3.58, p=0.0040), educational level (F=3.85, p=0.0104), household income (F=3.81, p=0.0051), smoking(F=3.90, p= 0.0097), alcohol(F=3.57, p=0.0149), check body weight(t=3.32, p=0.0069), and exercise(F= 14.56, p=0.0001). 3. A positive correlation was found between health promoting behavior and all the independent variables of perceived health status(r=0.319, p=0.0001), self-efficacy(r= 0.380, p=0.0001), self-esteem(r=0.487, p= 0.0001) and social support(r=0.474, p= 0.0001). 4. Stepwise Multiple Regression Analysis revealed that the most powerful predictor was self-esteem. Self-esteem, exercise, social support, smoking and alcohol accounted for 44% of the variance in health promoting behavior in middle-aged men. Therefore health professionals firtst need to develop nursing interventions will enhance self-esteem. Above these findings partially support the relationships posited in Pender's health promotion model that individual perceptions influence health promoting behavior.
Commerce
;
Data Collection
;
Family Characteristics
;
Health Occupations
;
Health Promotion
;
Humans
;
Incheon
;
Male
;
Nursing
;
Seoul
;
Smoke
;
Smoking
;
Surveys and Questionnaires
2.Meanings of Caring by Nursing Students.
Journal of Korean Academy of Adult Nursing 1997;9(1):86-97
The concept of caring as the core value of nursing has been widely explored in many researchers. However, a clear conceptualization of what caring in nursing does not yet exist. The purpose of this study is to examine the attributes of caring by content analysis of journaling and to provide basic information for developing the theory of caring and teaching the humanism centered education. The study design was descriptive survey design. Data was colleged 82 cases of journaling which came from 26 junior and 30 senior nursing students from Oct. 1995 to June 1996. The collected data were analyzed using the content analysis by Ko, and et als.(1989) and Polit & Hngler(1987). To improve the validity two researchers examined the significant statements extracted from original contents. The results are as follows: The emphasized contents clusters of caring were 12 categories-
Education
;
Humanism
;
Humans
;
Nursing*
;
Students, Nursing*
3.Depression in Post Menopausal Women.
Journal of Korean Academy of Nursing 2003;33(4):471-477
PURPOSE: This cross-sectional survey research was undertaken to examine the degree of depression in postmenopausal women and to analyze the factors affecting that depression. METHOD: 325 people from public health center in Inchon were surveyed as the subject of this study. Data collection was conducted through the use of questionnaires. RESULTS: The above half of these sampled people were in depressed state (64.0%) and the mean score of depression was 12.71. There were significant differences in the depression state according to presence of spouse, economic level, exercise, and smoking. A positive correlation was found between depression and climacteric symptoms. Stepwise multiple regression analysis revealed that the most powerful predictor was climacteric symptom. Climacteric symptom, presence of spouse, smoking, and exercise accounted for 45% of the variance in postmenopausal women's depression. CONCLUSION: Nurses are able to use these results to plan and implement nursing interventions for decreasing depression and consequent the improved quality of life in Korean postmenopausal women. Also, the nurses have to be more aware of the following groups; solitary women, low-income group and smokers, that they have higher mean score of depression.
4.Relationship among Daily Life Stress, Self-Efficacy, Hardiness, and Health Behavior of University Students.
Journal of Korean Academy of Adult Nursing 2006;18(5):699-708
PURPOSE: This correlational study was undertaken to examine the relationship among daily life stress, self-efficacy, hardiness, and health behavior of university students. METHODS: Two hundred sixty five university students were gathered from the undergraduate classes. Data were collected through self-reported questionnaires which included daily life stress scale, self-efficacy scales, hardiness scales, and health behavior scales. RESULTS: The daily life stress level had a maximum score of 4 with a mean score of 2.09 and the mean score of health behavior was 2.56. A negative correlation exists among daily life stress, self-efficacy, and health behavior. The self-efficacy is positively correlated with the health behavior. According to the hardiness factor, health behavior is positively correlated with hardiness. In the subareas, health behavior is positively correlated with control, commitment, and challenge. The self-efficacy factor was positively correlated with challenge. CONCLUSIONS: In conclusion, based onthe results of this study, both self-efficacy and hardiness are useful concepts in reducing the stress level and in increasing the health promoting behavior. Therefore, it is necessary to develop a program based on both self-efficacy and hardiness.
Health Behavior*
;
Humans
;
Stress, Psychological*
;
Weights and Measures
;
Surveys and Questionnaires
5.Relationship among Daily Life Stress, Self-Efficacy, Hardiness, and Health Behavior of University Students.
Journal of Korean Academy of Adult Nursing 2006;18(5):699-708
PURPOSE: This correlational study was undertaken to examine the relationship among daily life stress, self-efficacy, hardiness, and health behavior of university students. METHODS: Two hundred sixty five university students were gathered from the undergraduate classes. Data were collected through self-reported questionnaires which included daily life stress scale, self-efficacy scales, hardiness scales, and health behavior scales. RESULTS: The daily life stress level had a maximum score of 4 with a mean score of 2.09 and the mean score of health behavior was 2.56. A negative correlation exists among daily life stress, self-efficacy, and health behavior. The self-efficacy is positively correlated with the health behavior. According to the hardiness factor, health behavior is positively correlated with hardiness. In the subareas, health behavior is positively correlated with control, commitment, and challenge. The self-efficacy factor was positively correlated with challenge. CONCLUSIONS: In conclusion, based onthe results of this study, both self-efficacy and hardiness are useful concepts in reducing the stress level and in increasing the health promoting behavior. Therefore, it is necessary to develop a program based on both self-efficacy and hardiness.
Health Behavior*
;
Humans
;
Stress, Psychological*
;
Weights and Measures
;
Surveys and Questionnaires
6.A Study of Quality of Life in Middle-aged Men.
Journal of Korean Academy of Nursing 2002;32(4):539-549
PURPOSE: This study was undertaken to examine the degree of quality of life and to analyze the factors affecting those quality of life in middle-aged men. METHOD: The subjects of this study were 208 men aged by 35-55 from 3 business enterprises located in Seoul and Incheon. Data collection was conducted through the use of 5 questionnaire. RESULT: There were significant differences in the quality of life according to marital status, religion, educational level, number of children and total house income. A positive correlation was found between quality of life and all independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy. Stepwise Multiple Regression Analysis revealed that the most powerful predictor was self-esteem. Self- esteem, health perception, health promoting behaviors, marriage, and social support accounted for 65% of the variance in quality of life in middle-aged men. CONCLUSION: All independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy were related with quality of life in middle-aged men. Therefore it is necessary to develop the nursing intervention with these variables to increase the quality of life for middle-aged men.
Child
;
Commerce
;
Surveys and Questionnaires
;
Health Behavior
;
Humans
;
Incheon
;
Male
;
Marital Status
;
Marriage
;
Nursing
;
Quality of Life*
;
Seoul
;
Social Perception
7.A Study for the Health Education of Breast Self-Examination.
Journal of Korean Academy of Adult Nursing 2000;12(4):717-726
This study was undertaken to examine the degree of knowledge and compliance of breast self-examination with women. The subjects for this study were 474 women aged 35-65 receiving health examination from Yonsu-ku Public Health Service Center in Inchon. Data collection was conducted through the use of 2 questionnaires. Analysis of the data was done by used of descriptive statistics, t-test, ANOVA, and Pearson Product Moment Correlation Coefficient. The results of this study were as follows: 1. There were significant differences in the breast self-examination compliance rate according to age(F=5.82, p=.000), marital status(F=2.67, p=.047), educational level (F=5.83, p=.000) and household income (F=3.41, p=.018). 2. The correct answer rate for each items of breast self-examination knowledge scale was between 14.1% of a minimum rate and 65.0% for a maximum rate of 100. The degree of knowledge for relation of breast cancer and menopause, the time of the highest occurance of breast cancer, the best time of breast self-examination and inspection methods of breast self-examination shows relatively low understanding. 3. The average score of breast self-examination was 1.34 from a maximum score of 6. The score of breast self-examination with palpation methods was higher than with inspection methods. 4. A positive correlation was found between breast self-examination knowledge and compliance rate (r=.417, p=.001). According to the results, it is necessary to provide knowledge of the relationship of breast cancer and menopause, the time of the highest occurance of breast cancer, and the best time of breast self-examination and inspection methods of breast self-examination. Also, it is necessary to provide detail guidance for inspection methods and develop a program for promoting the compliance of breast self-examination.
Breast Neoplasms
;
Breast Self-Examination*
;
Breast*
;
Compliance
;
Data Collection
;
Family Characteristics
;
Female
;
Health Education*
;
Humans
;
Incheon
;
Menopause
;
Palpation
;
United States Public Health Service
;
Surveys and Questionnaires
8.Factors Influencing the Hospital Presentation Time of Stroke Patients.
Sang Hyun LEE ; Young Whee LEE ; Hwa Soon KIM ; Ji Young LIM
Journal of Korean Academy of Adult Nursing 2007;19(2):167-177
PURPOSE: This cross-sectional survey research was undertaken to identify the factors influencing time from onset to hospital arrival of stroke patients and to provide basic information for the development of intervention programs for stroke patients. METHODS: The data were collected using a convenient sampling method from three hospitals in Inchon. The subjects were 78 patients who were diagnosed as stroke by doctor and they voluntarily participated in the study. RESULTS: On the average, subjects arrived at the hospitals by 16.72 hours after the onset of stroke events with the range from 0.17 hours to 72 hours. Thirty-four(43.6%) subjects arrived within 3 hours which can maximize treatment effects. There was significant difference in hospital presentation time according to the level of knowledge(chi-square=18.629, p=.0003). A negative correlation was found between the hospital presentation time and self-efficacy (r= -.320, p=.004). Stepwise multiple regression analysis revealed that the most powerful predictor was self-efficacy. Self-efficacy, the level of knowledge and physical symptoms were significant factors and accounted for 21.7% of the variance of hospital presentation time in stroke patients. CONCLUSION: According to the results, self-efficacy is a useful concept for reducing the hospital presentation time from onset of attack in stroke patients. Therefore, nurses should consider educational programs which include not only a knowledge of stroke and recurrence prevention but also the concept of self-efficacy.
Cross-Sectional Studies
;
Humans
;
Incheon
;
Recurrence
;
Stroke*
9.A Comparison of the Factors Influencing the Life Satisfaction of the Elderly According to their Cognitive Impairment Level.
Rah Il HWANG ; Ji Young LIM ; Young Whee LEE
Journal of Korean Academy of Nursing 2009;39(5):622-631
PURPOSE: This study was conducted to analyze the factors that influence the life satisfaction of the elderly according to their cognitive impairment level. METHODS: This study was conducted by dividing 3,012 elderly residents of a regional community into three groups based on the scores of the Korean version of the Mini-Mental State Examination: a normal group without any cognitive impairment, a suspicious group with a mild level of cognitive impairment, and a high risk group with a high level of cognitive impairment. Researchers made phone calls, house calls, and personal visits to health centers and shelters for the elderly to gather the information required for this study. RESULTS: The results of this study revealed that social relationships, depression, and activities of daily living had a significant impact on life satisfaction for the normal group, while social relationships and depression had a high impact on life satisfaction for the suspicious group, and social relationships had high impact on the life satisfaction of the high risk group. CONCLUSION: Based on the results of this study, we suggest that programs that promote development of the social relationship networks of the elderly should be established to promote their life satisfaction.
Activities of Daily Living
;
Aged
;
Aged, 80 and over
;
Cognition Disorders/*psychology
;
Demography
;
Depression
;
Female
;
Humans
;
Interviews as Topic
;
Male
;
*Personal Satisfaction
;
*Quality of Life
;
Risk Factors
;
Social Support
10.The Influencing Factors on Health Behavior of Patients with Coronary Artery Disease.
Young Whee LEE ; Hwa Soon KIM ; Eui Young CHO
Journal of Korean Academy of Nursing 2002;32(1):40-49
PURPOSE: The purpose of this study was to investigate the influencing factors on health behavior among patients with coronary artery disease. METHOD: The subjects were 95 patients who visited the out-patient department of a university hospital for follow-up. The four health belief concepts (motivation, benefit, barrier, seriousness), general self-efficacy, health behaviors on medication, diet, exercise, stress management, smoking, and drinking were measured. RESULT: There were significant differences in the health behavior scores of subjects according to family support and the experience of surgical procedure. Subjects were found to have a high degree of compliance in taking medication. However subjects reported the lowest degree of compliance in regular exercise. In the multiple regression analysis, surgical procedure and motivation were significant predictors to explain diet. Motivation and barrier were significant predictors to explain exercise. Self-efficacy, motivation and family support were significant predictors to explain stress management. Family support and seriousness explained 16% of variance in drinking. Also, family support explained 30% of variance in smoking. CONCLUSION: Since predicting factors on each health behavior indicator were different, then nurses should consider these differences to construct strategy enhancing patient's recovery.
Compliance
;
Coronary Artery Disease*
;
Coronary Vessels*
;
Diet
;
Drinking
;
Follow-Up Studies
;
Health Behavior*
;
Humans
;
Motivation
;
Outpatients
;
Smoke
;
Smoking