• 지역사회간호학회지
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• 제30권4호
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• pp.414-425
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• 2019

Purpose: The purpose of this study was to examine the effects of psychosocial wellbeing status and self efficacy on health-promoting behavior of nursing students, and to explore the experiences related to health-promoting behavior. Methods: For this study, an explanatory sequential mixed method design approach was used with survey data collected from 148 nursing students. In addition, qualitative data for exploration of health-promoting behavior experience were collected from three focus-group interviews of 17 participants. Quantitative data were analyzed with SPSS/WIN 25.0 and qualitative data were analyzed by making contents analysis with Nvivo 12.0. Results: The results showed that psychosocial wellbeing status, self efficacy, grade, and regularity meal explained 43.0% of the variance in health-promoting behavior. And seven themes from the collected significant statements about experience of health-promoting behavior included the daily life going on without delay; changes in body which is felt; recognizing the necessity of health care; making efforts to increase physical activities; revising eating habit; looking for the way to relieve stress; and attempting to divert my thoughts. Conclusion: Based on the results of this study, it is necessary to develop and verify health program in order to improve nursing students' health-promoting behavior. And university authorities and government should make an effort to improve nursing students' health-promoting behavior.

• 성인간호학회지
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• 제12권4호
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• pp.573-583
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• 2000

The purpose of this study was to identify the factors influencing health promoting behavior of the elderly for develop health promoting intervention of old people. The subjects of this study were 167 elderly person over the age of 60, living in rural city in Korea. The data were collected by interview and self report questionnaire, during the period from May, 1999 to August. 1999 The instruments for this study were the PRQ-II by Weinert(1988), the scale of Locus of Control by Wallstone et al(1978), the scale of self efficacy by Sherer & Maddux(1982), 10 points visual analogue scale for the perceived health status and the importance of health, the health promoting behavior scale by Walker et al(1987), and the scales developed by authors for the perceived benefits of health promoting behaviors, and the perceived barriers to health promoting behaviors. The Cronbach 's alpha of these scales were .84 ~.97. The data were analyzed using descriptive statistics, Pearson's correlation coefficients, and stepwise multiple regression. The results of this study were as follows: 1. Among cognitive perceptual factors of the Health Promotion Model by Pender(1987), the scores of the importance of health, the perceived internal control of health, the self efficacy, the perceived health status, and the perceived benefits were significantly positive correlation with the scores of the health promoting behavior of the elderly. In addition, the scores of the perceived barriers were significantly negative correlation with the scores of the health promoting behavior of the elderly. 2. Among modifying factors of the Health Promotion Model by Pender(1987), the pocket money of the elderly, the scores of social support were significantly positive correlation with the scores of the health promoting behavior of the elderly. In addition, ages of old people were significantly negative correlations with the scores of the health promoting behavior of the elderly. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was the self efficacy. A combination of the self efficacy, the perceived barriers, the social support, the importance of health, and the perceived internal control of health accounted for 56.2% of the variance in health promoting behavior in the elderly. From the results of this study, we concluded that the Health Promotion Model by Pender will be used to explain health promoting behavior of the elderly. We suggested that the results of this study will be considered in developing health promoting programs of elderly.

• 성인간호학회지
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• 제16권3호
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• pp.442-451
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• 2004

Purpose: The purpose of this study was to examine the relationship between perceived health state, personality, situational barrier, health promoting behavior, to provide the basic data for health promoting intervention. Method: This study was designed as a descriptive correlation study. Data were 396 undergraduate students of one university in Chung-Buk. The instruments for this study were the modified health promoting behavior scale developed by Bak, Insuk(1995), and the modified perceived health state scale developed by Im, Meeyoung (1998), the modified personality scale developed by Park, Youngbae(1998), the modified situational barrier scale developed by Im, Meeyoung(1998). Result: The results of this study showed that the mean score for perceived health state 2.72, personality 3.35, situational barrier 2.72 and health promoting behavior 2.67. The health promoting behavior categories, scores for 'sanitary life'(3.08), 'self-actualization and interrelationship'(2.93) were higher than the mean score, whereas scores for 'healthy diet'(2.64), 'rest and sleep'(2.62), 'exercise and stress management'(2.49), and 'diet management' (2.25) were lower than the mean score. This study revealed the negative correlation between perceived health state, personality, situational barrier and health promoting behavior in undergraduate students. Conclusion: Perceived health state accounted for 16% and personality accounted for 21.3% of the variance in health promoting behavior in students. Therefore, health promoting programs that increase health state and personality should be developed to promote health behavior and to diminish situational barrier for students in Korea.

• 성인간호학회지
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• 제13권3호
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• pp.431-440
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• 2001

The purpose of this study was to identify the factors influencing health promoting behavior of college students to develop health promoting interventions of young adults. The subjects of this study were 176 women college students, living in a small city in Korea. The data were collected by interviews and a self-report questionnaire, during the period from September, 1999 to December, 1999. The instruments for this study were the PRQ-II by Weinert(1988), the scale of Locus of Control by Wallstone et al.(1978), the scale of self efficacy by Sherer & Maddux(1982), 10 points visual analogue scale for perceived health status and the importance of health, the health promoting behavior scale by Walker et al.(1987), and the scales developed by the authors for the perceived benefits of health promoting behavior, and perceived barriers to health promoting behavior. Cronbach 's alpha of these scales were .68 ~.89. The data were analyzed using descriptive statistics, Pearson's correlation coefficients, and stepwise multiple regression. The results of this study were as follows: 1. Among cognitive perceptual factors of the Health Promotion Model by Pender(1987), the scores of the importance of health, the perceived internal control of health, self efficacy, the perceived health status, and the perceived benefits had a significantly positive correlation with the scores of the health promoting behavior of college students. In addition, the scores of the perceived barriers had a significantly negative correlation with the scores of the health promoting behavior of college students. 2. Among modifying factors of the Health Promotion Model by Pender(1987), the extent of religious activities of college students and the scores of social support had a significantly positive correlation with the scores of health promoting behavior of college students. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, the perceived benefits, the perceived barriers, the perceived health status, and the importance of health accounted for 45.1% of the variance in health promoting behavior in college students From the results of this study, we concluded that the Health Promotion Model by Pender can be used to explain health promoting behavior of college students. In addition, we suggested that the results of this study be considered in developing health promoting programs of young adults.

• 한국학교보건학회지
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• 제24권1호
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• pp.89-98
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• 2011

Purpose: The purpose of this study was to compare the difference in health-promoting behavior of Han-Chinese to Korean-Chinese university students in Korea. Methods: Subjects were 111 Han-Chinese and 105 Korean- Chinese university students. The data was collected using structured questionnaires from January 5 to May 30, 2009. The data analysis was carried out using the SPSS/WIN 12.0 program. Results: The average score of health- promoting behavior for Chinese students was 2.55, 2.49 for Korean-Chinese students and 2.61 for Han-Chinese students. The mean score of health-promoting behavior of Korean-Chinese students was lower than that of the Han-Chinese group (t=2.048, p=.042). There were significant differences in health- promoting behaviors according to socio-demographic characteristics between Han-Chinese and Korean-Chinese university students. The mean score of health-promoting behavior showed significant differences according to marital status (t=2.019, p=.046) in Han-Chinese students while there were significant differences in health-promoting behaviors according to motivation for studying abroad (t=2.732, p=.033) in Korean-Chinese students. Conclusion: Health-promoting programs should be developed for both Han-Chinese and Korean-Chinese students by considering socio-demographic characteristics. Korean-Chinese may be targeted as a priority group for promoting health behaviors.

• 여성건강간호학회지
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• 제23권2호
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• pp.135-144
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• 2017

Purpose: The purpose of this study was to identify degrees of mood states, perceived health status, social support, and health promoting behavior, and to explore factors influencing health promoting behavior in postpartum women who were at Sanhujoriwon. Methods: A cross-sectional survey design was used. Data were collected using questionnaires from 197 postpartum women who were at Sanhujoriwon from May 28 to June 18, 2015. Data were analyzed using descriptive statistics, Pearson's correlation analyses, and a multiple linear regression. Results: The mean age of the participants was 31.8 years. About a half (47.2%) participants had a plan to receive 2 weeks of Sanhujoriwon care service. The mean health promoting behavior score was 123.5 ranged from 72 to 171. The health promoting behavior was explained by perceived health status (${\beta}=.25$) and social support (${\beta}=.24$). These factors accounted for 14% of the health promoting behavior. Conclusion: The findings of this study reveal an important role of perceived health status, social support in health promoting behavior of postpartum women at Sanhujoriwon.

• 한국보건간호학회지
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• 제11권2호
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• pp.171-179
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• 1997

The purpose of this study was to identify the major factors affecting performance of health promoting behavior and Pender's health promotion model was examined. The subjects were 508 workers employed in 4 manufacturing industries, data was collected from May 19th to 24th, 1997 using questionaires and it was used convenient sampling method. Data were analyzed by SPSS Win 6.1 program. The results of this study were as follows 1. The average score of health promoting behavior was 2.47. 2. The Health promoting behavior in the relationships between health promoting behavior and demographic factors, there is statistically significant difference in age(F=2.56, P=.0378), religion(F=6.34, P=.0001), working type(F=4.56, P=.0036)variables. 3. The performance score of health promoting behavior was statistically positively correlated with Definition of health(r=.2471. P=.000), Self-efficacy(r=.1385, P=.002), Internal health locus of control(r=.126, P=.000), External health locus of control(r=.2550, P=.000), Chance health locus of control(r=.3023, P=.000), but negatively with Perceived health status(r=-.2076, P=.000). 4. The major factors were Chance health locus of control. Definition of health, working hours, self-efficacy, External health locus of control. and explained for $39.58\%$ of Health promoting behavior performance score.

• 보건교육건강증진학회지
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• 제21권2호
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• pp.87-100
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• 2004

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.

• 보건교육건강증진학회지
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• 제18권3호
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• pp.11-36
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• 2001

The purpose of this study is to analyze health behavior by comparing the difference between self-perceived health status and health examination results. The study subjects consist of 7,702 people aged over 20, surveyed by Health Interview survey, Health Examination survey, Dietary Life survey, Health Consciousness and Behavior survey. Data used in the study are drawn from raw data from a 1998 National Health and Nutrition survey. General characteristics variables are sex, age, education level, residential area, marital status, occupation, and living standard while dichotomous variables, ‘not healthy’ and ‘healthy’ are used to measure self-perceived health status. Variables for health examination results are high blood pressure, high cholesterol, diabetes, liver diseases, liver inflammation, kidney diseases, normal weight, regular diet, optimum sleeping time(7-8 hours), regular health examination and health behavior practice group. Major findings of the study are as follows: 1) Analysis of self-perceived health status and health behavior by disease: Variables significantly correlated with high self-perceived health status have strong associations with high health behavior practice, which supports the hypothesis that as one has high self-perceived health status, one is more likely to practice health promoting behavior. The results of analysis of health behavior differences by dividing subjects into two categories, ‘cases of illness’ and ‘cases of no illness’ indicate that drinking, sleeping time, health examination are significant variables (p〈0.001, 0.05) whereas smoking, weight control, regular exercise, regular diet are not significant. 2) Analysis of disparity patterns between self-perceived health status and health examination: The hypothesis that health behaviors would be different according to the disparity pattern between self-perceived health status and health examination is supported as a result of χ2 test. Among Type I : Self-perceived health status is high and actual health status is good (no disease) Type II: Self-perceived health status is high and actual health status is poor(have disease) Type III: Self-perceived health status is low and actual health status is good(no disease) Type IN: Self-perceived health status is low and actual health status is poor(have disease) Type I and Type IV show no disparity, Type I shows the highest health promoting behavior whereas Type IV shows the lowest health promoting behavior. Type II, and III, compared to Type I, practise lower health promoting behavior. Multi-logistics regression analysis was conducted to find out the degree of impact on health behavior. Independent variables are general characteristics, self-perceived health status and health examination result and presence of illness, while the dependent variable is health promoting behavior. The analysis of the impact of self-perceived health status on the health promoting behavior shows that smoking, drinking, weight control, regular exercise, health examination practice, and/or regular diet are significantly correlated to self-perceived health status. High self-perceived health status is inversely related to high health promoting behavior. This finding supports the hypothesis that the higher one perceives one's health, the more likely one is to practice health promoting behavior. On the contrary, the presence of illness has little impact on health promoting behavior. 3) Multiple logistics analysis on how disparity patterns between self-perceived health status and health examination affect health behavior: The results of multiple logistics analysis made on health behavior variables compared to the standard variable are as follows: When analyzed on the standard of Type I, smoking is a significant risk factor for the Type IV. In case of drinking, all the patterns show a high probability of relative risk ratio. With regard to weight control, it is a risk factor for Type II while all the patterns show high probability of not practising when analyzed on the standard of type IV. Type III and IV show high probability of not doing regular exercise while Type IV, shows a high probability of not taking appropriate sleeping time. When analyzed on the standard of type IV, all the patterns show a high probability of not taking health examinations. Type III and IV show a high probability of not having regular meals. As for overall health promoting behavior, Type III and IV show a high relative risk ratio. These two groups have low self-perceived health status. It implies that self-perceived health status has significant impact on health promoting behavior. This is also supported by the fact that Type I with high self-perceived health status and no illness shows a high practice rate of health promoting behavior. Types II and III the groups with high disparity between self-perceived health status and health examination results, show a low practice rate of health promoting behavior when compared to Type I. Type IV, that is the group with low self-perceived health status and actual illness, shows the lowest practice of health promoting behavior. It is highly probable that this type proves to be the poorest health group.

• 동서간호학연구지
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• 제21권2호
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• pp.126-132
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• 2015

Purpose: The purpose of this study was to identify the factors that affect the health promoting behavior targeted older women. Methods: Subjects were 181 women older than 60 years who agreed to participate and understand the purpose of the study. A trained investigator collected data using structured questionnaires regarding general characteristics, health-related characteristics, competence, relatedness, and health promoting behavior. The collected data were analyzed using SPSS WIN 18.0 program by descriptive statistics, t-test, ANOVA, and stepwise multiple regression. Results: The mean age of subjects was 74.7 years old. Factors showing significant associations with health promoting behavior were age, educational level, family type, economic status, current health status, competence, and relatedness. Stepwise regression analysis identified that age, current health status, competence, and relatedness were factors affecting on health promoting behavior. Conclusion: This study shows that competence and relatedness are influencing factors on health promoting behavior in older women. Therefore, it is important to emphasize competence and relatedness for developing a health promoting program.