• Journal of Korean Public Health Nursing
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• v.13 no.1
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• pp.12-24
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• 1999

In Korea. the investigation were related of health promotion is actively expanded Since 1990. We analysed the characteristics of the theses for an academic degree. relate to lifestyle of health promotion. have published since 1980. According to age group. analysing causal factors affection the health-promotion and will sugesting for health promotion program strateges. The results were summarized as follows: 1. Health promoting caocept is related to health locus of control. self respect. perceived health status. self ifficacy and gender role. 2. Among health promoting lifestyle. emotional support, self-realizationhygienic lifestyle were significantly positive. and the older. the lesser health-promoting complicnce. 3. Causal factors affecting the health-promoting lifestyle were identified health promoting behaviors wire affected by demographic factors which were gender. age. marrige status. education level. relision. vocation. job satisfaction. economic status and by social support factors which were familiarity. family function personal relationship. gender role. 4. In school age. daily lifestyle behaviors were significantly positive. middle and high schllo age froup were affected by stress. nutrition. social support. self-realization were causal factors explaining health promoting behavior of middle age and old age but. there was problems of exercise behaviors. therefore. the need to develop a health education program for the all age group to improve the health-promoting lifestyle.

• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.184-198
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• 2000

This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in college female students. Participants were 232 female college student living in chinju city who selected by convenience sampling method. The data were collected by self-reported questionnaires from May to December. 1999. The data were analyzed by using descriptive statistics. pearson correlation coefficient. t-test. ANOVA. Duncan verification and stepwise multiple regression with an SAS program. The result to this study were as follows; 1) The average score of a health promoting lifestyle performance was 97.19, the average score of each item was 2.37. among the each items. self-actualization was obtained the most high score(31.10) and stress management was obtained the low score(14.74). 2) The result of compare health promoting lifestyle performance with related variables was follows; (1) In intervention factor, school lifestyle level showed significant positive correlations with teaching relationship level. (2) In Analysis of relationship of health definition. self-efficacy, perceived health status. and perceived benefit & barriers of health that is recognition-perception factors. health promoting lifestyle performance showed significant positive correlations with health definition (r = .2948. p = .001) and self-efficacy (r= .4587. p = .001). (3) A health promoting lifestyle showed significant positive correlations with school lifestyle(9.9%), family support (12.8%), and relationship with teacher (14.6%). This result indicate that; 1) need to development the health promoting model that suitable to our situation. 2) need to development the health promoting model that include family member and application and test to women. 3) need to development of the health promotion program and health education to women. 4) need to study for find out variables that have a influence to stress management. exercise. nutrition. and health promoting performance with low score in test.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.2
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• pp.174-182
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• 2014

Purpose: This study was done to investigate the probability of stroke, knowledge of stroke, and health-promoting lifestyle among stroke risk groups. Method: A descriptive correlational design was used. Data for 110 patients were analyzed. The probability of stroke was calculated using the Stroke Risk Profile from the Framingham Heart Study (2013), knowledge of stroke was measured using a questionnaire developed by Yoon et al. (2001), and health-promoting lifestyle was measured using the HPLP-II, developed by Walker et al. (1995). Results: The average probability of stroke was 11.74, knowledge of stroke, 67.88, and health-promoting lifestyle, 2.27. Probability of stroke showed significant differences according to gender. Knowledge differed according to patients' salaries. Health-promoting lifestyle showed significant differences according to gender. There were no significant correlations between probability of stroke and knowledge of stroke or probability of stroke and health-promoting lifestyle, but there was a significant correlation between knowledge of stroke and health-promoting lifestyle. Conclusion: Results indicate the necessity of active education to increase knowledge related to stroke which will contribute to an increase in health-promoting behaviors and make primary prevention a reality in the reduction of risk of stroke among stroke risk groups.

• Journal of Korean Biological Nursing Science
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• v.21 no.4
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• pp.308-317
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• 2019

Purpose: This study aimed to investigate the level and related factors related to health-promoting lifestyle in operating room nurses in Korea. Method: A cross-sectional descriptive survey design was employed. The data were collected using questionnaire for three weeks in December 2018 from 110 operating room nurses working for more than six months in a general hospital located in Seoul. The Health Promoting Lifestyle Profile-II, The Korean Version of the Practice Environment Scale of Nursing Work Index, and Operating nurse's Job stress Factor Scale were used. Results: Significant relationships were observed between health promoting lifestyle and educational level(p= .025), perceived economic status (p= .001) wearing a lead apron for protection from radiation during the operation(p< .001), work satisfaction(p= .016), and fatigue related to work(p= .006). Also significant correlations were identified between nursing work environment and health promoting lifestyle. However, the health promoting lifestyle was not statistically different based on occupational stress(p= .365). In multiple linear regression analyses, the level of health promoting lifestyle found to be higher in subjects who did not wear a lead apron for protection from radiation(p= .017), and who had more positive perception of the nursing work environment(p= .034). Conclusion: In order to increase health promoting lifestyle of operating nurses, the strategies to improve the nursing work environment are essential.

• Korean Journal of Adult Nursing
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• v.12 no.3
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• pp.477-489
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• 2000

The purpose of study was to assess how hospital nurses practice their health promoting lifestyle and to identify affecting factors. The subjects were 286 nurses working at three general hospitals in Kwang-ju. The data were collected by questionnaire from September 1st. to September 10th, 1999. The instruments for this study were the Health Promoting Lifestyle Profile developed by Walker et al., perceived health status scale developed by Ware et al., self-efficacy scale developed by Sherer et al., and social support scale developed by Cohen et al.. The data were analyzed with mean, standard deviation, t-test, ANOVA, Pearson's Correlation Coefficient and Stepwise Multiple Regression. The results of this study were as follows: 1. The mean score of health promoting lifestyle was 2.36. Interpersonal support showed the highest score(2.67) and health responsibility (1.92) showed the lowest score. The mean score of perceived health status was 3.07, self-efficacy was 2.62, and social support was 2.91. 2. The relationship between general characteristics of subjects and health promoting lifestyle showed significant differences according to duty cycle(t=4.15, p=.042), disease experience (t=5.18, p=.023), monthly income(F=3.13, p=.025), exercise frequency(F=9.12, p=.000), stress reliefe method(F=5.98, p=.000), job satisfaction(t=11.44, p=.000), and perceived fatigue(F=6.13, p=.002). 3. Health promoting lifestyle showed significant positive correlations with perceived health status (r=.2190, p=.0002), self-efficacy (r=.5137, p=.0001) and social support (r=.5181, p=.0001). 4. The combination of social support(27.1%), exercise frequency(10.4%), self-efficacy(8.8%), job satisfaction, perceived health status, perceived fatigue and explained 53.5% of the variance of health promoting lifestyle. Therefore, this study suggests that a replicate study is needed until more affecting factors other than health promoting lifestyle.

• Journal of Korean Public Health Nursing
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• v.13 no.2
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• pp.183-201
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• 1999

This descriptive correlational study was conducted to identify the variables related to health promoting lifestyle of girls in High school students. 156 high school students and 88 vocational high school students who lives in Taegu city were selected by a convenience sampling method. The data were collected by self-reported questionnaires from August 24 to September 4. 1998. Pender and others' Health Promoting Lifestyle Profile. Shere et al's. Self-Efficacy scale. Wallston et al.' s Internal Health Locus of Control scale. Wares' Health self rating scale and Cohen & Hoberman's Social support scale were used. The data were analyzed by using descriptive statistics, Pearson correlation coefficient. t-test. MANOVA. ANOVA. Tukey verification and Stepwise multiple regression with SAS progrom. The results of this study were as follows : 1. The average score of health promoting lifestyle performance was 2.34(SD=.36)points by the 4 point scale. 2. The combination of self-efficacy. internal health locus of control. mather's educational level and type of school explained $41.31\%$ of the variance of health promoting lifestyle. 3. Health promoting lifestyle showed significant positive correlations with self efficacy(r=.5173. p=.001), perceived health status(r=.254, p=.001) and internal health locus of control(r=.321. p=.001). On the basis of the above findings, self-efficacy in cognitive factors. and social support in modifying factors were identified as the variables which explained the most part of the Pender's health-promotion model. Nursing strategies enhancing self-efficacy which has the most significant effect on health promoting lifestyle should be developed. Further research is required to find out the factors influencing health pormoting lifestyle of high school students.

• Korean Journal of Adult Nursing
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• v.16 no.4
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• pp.575-584
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• 2004

Purpose: To describe the performance in the health-promoting lifestyle and to identify the major factors affecting the health-promoting relationships between self care behaviors and health promoting lifestyle profile in patients with pulmonary tuberculosis. Method: A convenience sample for this study was 172 pulmonary tuberculosis patients who have taken TB medications in urban city. The HPLP-II was selected to measure the concept of health-promoting lifestyle because of the number of research studies conducted using both the original HPLP and the revised HPLP-II. The statistical methods used in this study were t-test, ANOVA, Pearson correlations, and multiple regression. Result: The differences of the HPLP-II were found to have a significance of age, marital status, education level, and health service center. The level of self care behaviors was related positively to the level of health promoting lifestyle and their subcategories. Based on stepwise multiple regression analysis, the model that predicted factors included self care behaviors, age, health service center and education. Conclusion: After decades of decreasing rates, TB has reemerged as a serious national problem in Korea. The careful clinical management and more national concern of TB may help to improve the outcomes of many patients. The findings of this study suggest that TB patients who are more fulfilled in health-promoting lifestyles and self-care behaviors may be able to make better decisions regarding positive health-promoting behaviors.

• Journal of Korean Academy of Nursing
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• v.34 no.7
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• pp.1288-1297
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• 2004

Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in the elderly. Method: The subject of this study was 305 elderly person over the age of 60, living in rural and urban, Korea. For the analysis of collected data, descriptive statistics, t-test, analysis of variance and stepwise multiple regression were used for statistical analysis with SPSS statistical program. Results: The average item score for the health promoting lifestyle was 2.46, The higher score on the subscale was nutrition(2.65). The lowest score on the subscale were physical activity(2,36) and stress management(2,36). General characteristics showing statistically significant difference in health promoting lifestyle were age, residential district, live together spouse, education, religion and pocket money in the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle in the elderly was prior related behavior(R2=.554). A combination of prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences accounted for $64.3\%$ of the variance in health promoting lifestyle in the elderly, Conclusion: The factors influencing on health promoting lifestyle for elderly were prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences.

• Korean Journal of Adult Nursing
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• v.12 no.1
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• pp.64-76
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• 2000

The purpose of this study was to identify the major factors affecting performance in health promoting lifestyle of the elderly. The subjects for this study were 244 elderly person over the age of 60, living in K country, Kyongnam. Data were collected from August 31 to September 30, 1998. The collected data were analyzed with an SPSS program using frequency, percent, mean, cronbach alpha, t-test, ANOVA, Pearson' coefficients of correlation, Duncan test, and stepwise multiple regression. The results are summarized as follows. 1) The average score of performance in the health promoting lifestyle was 2.73. The variable with the highest degree of performance was regular diet(3.29), whereas the one with the lowest degree was self-control(2.22). 2) Performance in the health promoting lifestyle was significantly correlated with self esteem(r=.28, p=0.00), internal health locus of control(r=.58, p=0.00), powerful others health locus of control(r=.48, p=0.00), chance health locus of control(r=.25, p=0.00), perceived health status(r=.53, p=0.00). 3) Performance in the health promoting lifestyle was significantly correlated with such demographic variables as education level (F=9.47, P=0.00), marital status(F=2.63, P=0.05) and previous occupation(F=3.85, P=0.00). 4) The combination of internal health locus of control, powerful others health locus of control and perceived health status explained 43.4percent of the variance of health promoting lifestyle On the basis of this study, other factors affecting others health promoting lifestyle should be identified.

• Journal of Korean Academy of Nursing
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• v.27 no.3
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• pp.541-549
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• 1997

This study was done to describe health promoting lifestyle and determine affecting factors in elderly based on the Heath Promotion Model by Pender. Cognitive-perceptual factors that were included in this study were self-efficacy and hardiness. Modifying factors were demographic characteristics (sex, age, partner, previous illness, education level. income and religion). The specific purpose of this study was to examine the relationships of self-efficacy, hardiness and the demographic chasteristics to health promoting lifestyle and to determine causal factors affecting the elderly. The subjects were a volunteer sample of 98 elderly in one city in? The instruments for this study were Health Promoting Lifestyle Profile(47items, 4scale), Health Related Hardiness Scale(22i1ems, 6scale), general Self-Efficacy Scale(13i1ems, 5scale). Frequency, percentage, t-test, ANOVA, Pearson's correlation coefficient and Stepwise Multiple regression technique with SAS program were used to analyse the data. The Results of the study are as follows : 1) The average item score for the health promoting lifestyle was 2.63, the highest score on the subscales was interpersonal support (M=3.3), followed by self-actulization(M=2.9), nutrition(M=2.8), stress management(M=2.7), health responsibility(M=2.1) with the lowest bring exercise(M=2.0) 2) A significant difference between education level, income, religion and health promoting lifestyle were found. 3) All of the subscales on health promoting lifestyle were positively related to total hardiness (r=0.330, p<0.001). The hardiness subscale of control was positively related to self-actulization(r=0.276, p<0.01), and commitment was positively related to self-actualization(r=0.315, p<0.001), exercise /nutrition(r=0.245, p<0.01), interpersonal support(r=0.278, p<0.01), stress management(r=0.250, p<0.01). Challenge was positively related to self-actualization(r=0.315, p<0.001), exercise /nutrition(r=0.245, p<0.01). There was no significant correlation between self-efficacy and all of the subscales of health promoting lifestyle. Self-efficacy showed a significant correlation only with control(r=0.469, p<0.001), comittment(r=0.507, p<0.001), challenge (r=0.489, p< 0.001). 4) Comittment, self-efficacy and income explained 25.01% of the variance for the total health promoting lifestyle. The results of this study show that commitment, self efficacy and income predicted the health promoting lifestyle of the elderly. So health promoting programs that increase commitement and self-efficacy should be developed to promote a healthy lifestyle of the elderly, especially those who have low income.