• Korean Journal of Adult Nursing
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• v.12 no.4
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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.

• Korean Journal of Health Education and Promotion
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• v.21 no.2
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• pp.117-131
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• 2004

In order to obtain basic data for a health promotion program of hair dressers, the health promoting behavior of some hair dressers was assessed with the related factors such as general characteristics and cognitive-perceptual factors. The subjects were 245 hair dressers working at beauty shops having at least two hair dressers. The data was collected by a questionnaire from October 14 to October 20, 2001. The results were as follows： 1. The mean score of health promoting behavior conducted by the hair dressers was 31.17 out of 50.00 in total score. 2. The score of the health promoting behavior was statistically different according to marriage, on-duty hours, holidays, satisfaction in the job, perceived health status, perceived fatigue, health concept, and self-efficacy (p＜.05), while it was not statistically different according to gender, religious faith, residence, eduation, economic levels, career in the job, average income, medical care insurance, employment insurance, control of fortuity, and control over other persons. 3. The health promoting behaviors in the hair dressers showed positive correlation with self-efficacy and internal control, while it showed negative correlation with control over other people, control of fortuity, health concept, and perceived fatigue. 4. The Regression analysis results of the questionnaire showed that perceived fatigue, health concept and office hours were significant factors but the age, the fact of being single or couple, position at the job, holidays, satisfaction of the job, self-control and stresses from other people and self-efficiency appeared insignificant. In conclusion, the hair dressers with less perceived fatigue and better cognitive health concept and short duty hours showed better health promoting behavior. So, In order to conduct health promoting behaviors of hair dressers, the method will need to control of working time and perceived fatigue.

• Journal of Korean Biological Nursing Science
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• v.11 no.2
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• pp.143-148
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• 2009

Purpose: The purpose of this study was to identify the affecting factors on the health promoting behaviors of the clinical nurses. Methods: This study was a trans-sectional survey research. The subjects of this study were 206 clinical nurses. The data were collected by questionnaires and medical records. Results: There were significant positive relationships between health promoting behavior and perceived health status, job satisfaction, familial support. There were significant negative relationships between health promoting behavior and depression. The significant affecting factors on the health promoting behaviors of the clinical nurses were depression, familial support and job satisfaction. These 3 factors explain 18.6% of the health promoting behaviors of the clinical nurses. Conclusion: This study provides the empirical evidence that health promoting behaviors of the clinical nurses are closely related to depression, familial support, and job satisfaction. This results can be used to develop health promoting program for clinical staff nurses.

• Korean Journal of Adult Nursing
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• v.13 no.3
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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.

• Journal of the Korean Society of School Health
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• v.17 no.2
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• pp.97-105
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• 2004

Purpose: This study was undertaken in order to examine the relationships of control, perceived health status, self-efficacy, social support, and demographic characteristics for a health promoting lifestyle in college women, and to determine the factors affecting a health promoting lifestyle of women in the early stage of adulthood. Method: There were 161 students from one university in K city. The instruments used for this study were a survey of general characteristics, a health promoting lifestyle (47 items), control (8 items), perceived health status (6 items), self-efficacy (17 items), and social support (18 items). The data analysis was done by use of mean, percentage, t-test, ANOVA, Pearson Correlation coefficients and stepwise regression with the SPSS Win (Version 10.0) program. Results: The results of this study are as follows : 1) The average item score for the health promoting lifestyle was low at 2.39. In the sub-categories, the highest degree of performance was interpersonal support (2.97), and the lowest degree was health responsibility (1.76). 2) In the relationship between social demographics and a health promoting lifestyle, there were significant differences in age, disease experience, and the family's disease experience. 3) Social support revealed only significant correlations with a health promoting lifestyle. 4) Social support was the highest factor that predicted a health promoting lifestyle in college women (15%). Social support, age and disease experience accounted for 20% in a health promoting lifestyle of college women.

• Korean Parent-Child Health Journal
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• v.15 no.2
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• pp.51-59
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• 2012

Purpose: The purpose of this study was to identify factors influencing health promoting behavior of school-aged children on community child center. Methods: Participant were 207 elementary school student located in Mokpo. For data analysis descriptive statistics, t-test, ANOVA pearson correlation coefficients and stepwise multiple regression were used with SPSS/WIN ver 18.0 program. Results: The mean score for health promoting behavior was below the lower point at $3.39{\pm}0.61$. There were significant differences in health promoting behavior according to gender (t=9.41, p=.002), father's job (F=2.28, p=.048), perceived health status (F=5.70, p=.001), There were significant correlations between health promoting behavior and self-esteem (r=.655, p=.001), self-efficacy (r=.530, p=.001). The explanatory power of these variables accounted for 47.1% of health promoting behavior. The most significant variable was self-esteem (t=7.60, p=.001) and explained 42.8%. Conclusion: The finding indicate that self-esteem of children on community child center are important variables for health promoting behavior. This result suggests that interventions focusing on self-esteem, on enhance health promoting behavior.

• Journal of Korean Public Health Nursing
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• v.20 no.2
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• pp.151-162
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• 2006

Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in high school students. Method: The study subjects were 477 high school students. The data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe test, Pearson correlation and Stepwise Multiple Regression with SPSS statistical program. Results: The average item score for health promoting lifestyle was 2.44. The highest subscale score was self actualization (2.85), while the lowest subscale scores were interpersonal relationship (2.82), nutrition (2.57), exercise (2.56) and health responsibility (1.77). There was a significant difference between gender, sleeping hours, perceived health state, economic state, school performance, father's education, mother's education, living together and health promoting lifestyle. The most powerful predictor of health promoting lifestyle was self-efficacy (29.9%). The combination of self-efficacy, family function, activity-related effect, commitment to a plan of action, situational influences and social support accounted for 55% of the variance in the health promoting lifestyle. Conclusion: Self-efficacy was the most powerful variance of health promoting lifestyle. Therefore, health promoting programs that increase self-efficacy should be developed to promote a healthier lifestyle among high school students.

• Korean Journal of Occupational Health Nursing
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• v.22 no.1
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• pp.66-74
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• 2013

Purpose: This study examined the relationships among menopausal symptom, self-efficacy, health promoting behaviors, and investigated factors affecting health promoting behaviors of teachers with middle-aged women experiencing menopause. Methods: From September to October 2012, a convenience sample of 252 subjects aged 40 to 60 years was recruited from 8 elementary schools, 3 middle schools and 5 high schools. The data analysis was done by ANOVA and stepwise multiple regression. Results: Menopausal symptom of subjects was slightly lower than general middle aged women and the average level of health promoting behaviors was similar to general middle aged women. Health promoting behaviors were differentiated by severity of menopausal symptom, not by menstruation state. Menopausal symptom was negatively related to health promoting behaviors. The most significant factor affecting health promoting behaviors was self efficacy (14.3%). The combination of self efficacy, menopausal symptom, and elementary school teachers accounted for 20.1% of health promoting behavior. Conclusion: When developing health promotion program for teachers with middle-aged women, such program should consider self-efficacy, menopausal symptom, and school type.

• Korean Journal of Occupational Health Nursing
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• v.23 no.3
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• pp.154-162
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• 2014

Purpose: This study examined self-efficacy, emotional labor, and health promoting behaviors. It also investigated factors affecting health promoting behaviors of nurses working for tertiary and general hospital. Methods: Between June and July 2013, a convenience sample of 233 subjects was collected from 2 tertiary hospitals and 4 general hospitals. The data analysis was done with ANOVA, t-test and stepwise multiple regression. Results: Emotional labor of the subjects was slightly lower than that of other nurses and the average level of health promoting behaviors was lower than the median. Health promoting behaviors were differentiated by education, hospital type, and monthly income. Self-efficacy showed positive correlation with HPLP-II, but emotional labor showed negative correlation with self-efficacy and HPLP-II. The most significant factor affecting health promoting behaviors was self regulation(16.3%). The combination of self regulation, attentiveness to required display rules, BSN, preference to task difficulty, and monthly income(${\geq}300$) accounted for 25.4% of health promoting behavior. Attentiveness to required display rules was a negative factor of HPLP-II. Conclusion: When developing health promotion programs for nurses, self-efficacy should be considered and further research is needed to identify mediating variables between emotional labor and health promoting behaviors.

• Korean Journal of Organic Agriculture
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• v.25 no.1
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• pp.1-22
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• 2017

The purpose of this research is to analysis actual condition of promoting complex industrialization and changes after promoting, and then to classify organic farmer using cluster analysis based on delineated organic farmer's changes factors. This study also aims to investigate differences in socioeconomic characteristics and behavioral intentions among classified groups of organic farmer's changes. Data were obtained by questionnaire. From the factor analysis, four factors were derived as "Economics", "Public benefit", "Environment and philosophical values" and "Establishing management and the regional bedrock". From the cluster analysis, three cluster were derived as "group that has a positive awareness of promoting complex industry", "group that has a negative awareness of promoting complex industry" and "unstable management and a regional base". And the three classifications were significantly different in the satisfaction and behavioral intentions.