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.
This study was undertaken in order to determine the relationship among a health locus of control. self-esteem. perceived health status. and health promoting behavior in order to determine factors affecting health promoting lifestyle in college students. The subject were 137 students of one university in Kyungsan. The analysis of data was done with a mean. percentage. Pearson correlation coefficient. and Stepwise multiple regression with an SAS program. The result of this study ware as follows: 1. Performance in health-promoting behavior was significantly correlated with self-efficacy and self-esteem 2. Performance in self-achievement was significantly correlated with self-efficacy, self-esteem, and perceived health status. Performance in health responsibility was significantly correlated with self-efficacy and self-esteem Performance in exercise was significantly correlated with self-efficacy and perceived health status. Performance in nutrition was significantly correlated with self-efficacy. self-esteem. and perceived health status. Performance in interpersonal support was significantly correlated with self-efficacy. internal locus of control. and self-esteem Performance in stress management was significantly correlated with self-efficacy, self-esteem. and perceived health status. 3. Self-efficacy was the highest factor predicting health promoting lifestyles. 4. Self-efficacy was the highest factor predicting self-achievement. health responsibility. exercise. nutrition. and stress management. Self-esteem was the highest factor predicting interpersonal support. From this research findings, we need to develop health promoting program and health education focusing on exercise, health responsibility for college students.
Journal of Korean Academy of Fundamentals of Nursing
/
v.16
no.4
/
pp.481-489
/
2009
Purpose: The purpose of this study was to identify health promoting lifestyle patterns (HPLP) and health perception (HP), and related factors, in elderly people using welfare service centers. Methods: Three hundred elders were interviewed using a structured questionnaire through convenience sampling at two welfare centers. Data were analyzed using the SPSS WIN 12.0 program. Results: Most of the elders had some kind of diseases, such as hypertension, diabetes, or osteoarthritis. The mean HPLP score was 2.53, and significant differences were found according to the elders' general characteristics. The sub-domain nutrition had the highest mean score, and stress management and exercise, the lowest. The mean HP score was 3.38, and significant differences were found according to education level and number of underlying diseases. HPLP showed a correlation with HP. Conclusion: The results indicate that elders have poor practices in stress management and exercise reflecting need for community based stress management programs for welfare service centers elderly clients.
The Journal of Korean Society for School & Community Health Education
/
v.22
no.3
/
pp.29-39
/
2021
Purpose: This study aims to investigate the mediating effect of grit in the relationship between body image and health promotion lifestyle for nursing students. It was implemented to present basic data for the development of educational programs to establish the health promotion lifestyle of nursing students. Methods: The participants of this study were 169 nursing students in three universities in G City, J Province. Data were descriptive statistics, t-test, ANOVA, Pearson correlation analysis. Also mediation analysis was performed according to the Baron and Kenny method and Sobel test. Results: Health promotion lifestyle is positively correlated with body image(r=.53, p<.001), grit (r=.37, p<.001), and body image is positively correlated with grit(r=.33, p<.001). The grit showed a partial mediating effect between the body image and the health promotion lifestyle(Z=3.21, p<.001), the positive the body image(β=.46, p<.001), the higher the grit(β=.22, p<.001), the healthier the health. The level of health promotion lifestyle increased, and the explanatory power to explain the health promotion lifestyle was 33%. Conclusion: Therefore, in order to improve the health promoting lifestyle level of nursing students, it is important to change their perception so that they can view their body image positively. In addition, it suggests that nursing students need to cultivate grit so that they can continuously pay attention to and strive for their health promotion lifestyle.
Purpose: The purpose of this study was to compare health locus of control with health-promoting behaviors according to elementary school children's degree of obesity, and to analyze correlations between two variables. Methods: Three hundreds and sixty three elementary school children were participated from three elementary schools in Seoul. Multidimensional Health Locus of Control (HLOC) scale and Health Promoting Lifestyle Profile (HPLP) were used. Results: Obese children was 16.8% of all research subjects. Internal HLOC in over weight group was higher than normal weight group (F=3.611, p=.014). Chance HLOC in under weight group was higher than other groups (F=3.553, p=.015). External HLOC in over weight and obesity group was higher than normal weight group (F=3.553, p=.015). Correlations between HLOC in internal and external and health-promoting behaviors were significant (r=.347, p<001; r=.207, p<001). Also, children who did not have siblings and have obese parents showed higher rate of obesity, and lack of sleeping time tend to be related to obesity. Conclusion: External HLOC of obesity children is higher than that of normal weight children. Meanwhile, obese children with higher internal HLOC were good at doing health-promoting behaviors. Therefore, if obese children are trained for internal health control, it can lead to their health-promoting behaviors.
Purpose: To investigate the factors influencing health promoting behavior in college students and to provide a basic data for developing an effective health promotion program. Method: The subjects were 711 college students living in Jecheon city and were selected using a convenience sampling method. The instruments used in this study included the Health Promoting Lifestyle Profile developed by Walker et al.(987). Perceived Health Status developed by Lawston et al. (1982). Self-Esteem scale developed by Rosenberg(1965), Self-Efficacy scale developed by Becker et al. (1993), and Health Locus of Control developed by Wallston et a1.(1978). The data were analyzed by descriptive statistics, pearson correlation coefficient, and stepwise multiple regression using SPSS/WIN program. Results: I) The mean score of health promoting behavior was 2.39 point out of 4. In terms of sub-domains of health promoting behavior, self-actualization(2.78) showed the highest mean score, followed by interpersonal support(2.75), stress management(2.38), nutrition(2.11), exercise(2.04), and health responsibility (1.97). 2) The health promoting behavior had significantly positive correlations with self-efficacy, powerful others health locus of control, internal health locus of control, chance health locus of control, and perceived health status. 3) In the relationship between general characteristics and health promoting behavior, health promoting behavior was significantly different by gender(t=2.17, p=.03), and financial status of parents (F=10.79. p= .00). 4) The most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, self-esteem, powerful others health locus of control, and sex accounted for 40.4% of the total variance in health promoting behavior. Conclusion: The findings of this study showed that health responsibility and exercise were the domains where the college student showed relatively lower scores than other domains, self-efficacy was the most important predictor of health promoting behavior. Therefore, it is suggested that health promoting programs should focus on health responsibility, and exercise. Nursing strategies that can enhance self-efficacy should also be developed in order to promote healthy lifestyles in college students.
Purpose: The purpose of this study was to identify the influence of eHealth literacy on health promoting behaviors, thereby providing basic data for the development of interventions for health promoting behaviors among university students. Methods: Data were collected from 242 university students aged 19 and over in a university located in K province in South Korea. Participants responded to structured questionnaires in September 2018. eHealth literacy and health promoting behaviors were measured by eHealth Litaracy (EHL) and a translated version of the Health Promoting Lifestyle Profile (HPLP-II), respectively. The correlation between eHealth literacy and health promoting behaviors were analyzed using Pearson's correlation, and multiple regression analysis was carried out to examine the influence of eHealth literacy on health promoting behaviors. Results: The participants had a moderate level of eHealth literacy with the greatest score recorded in the sub-domain of functional eHealth literacy and the lowest in the sub-domain of critical eHealth literacy. Female students and students who majored in healthcare had higher levels of eHealth literacy than male students and those with non-healthcare majors. The degree of health promoting behaviors was moderate or lower with the highest score being in the sub-domain of interpersonal support and the lowest in the sub-domain of health responsibility. Health promoting behaviors had significant relationships with eHealth literacy, exercise hours, subjective health status, and health concerns. Multiple regression analyses revealed that the participants engaged more in health promoting behaviors when they had greater eHealth literacy (β=.18, p<.001), interest in their own health (β=.33, p<.001), exercise hours (β=.18~.23, p<.001), and subjective health status (β=.17~.18, p=.007~.031). Conclusion: In order to facilitate health promoting behaviors of university students, interventions for health promoting behaviors need to be developed including strategies to improve competencies relevant to critical eHealth literacy and to increase exercise hours.
The purposes of this study were to understand health-promoting behavior of client visiting health-promoting center, to identify the major subscales affecting performance in health promoting behavior to facilitate nursing intervention for health promoting of this population and to test Pender's Health Promotion Model. The subjects for this study were 177 sampled among clients from health-promoting center in General Hospital at Teajon. Data was collected by self-reported questionnaires from February 11 to May 22, 1998. Analysis of the data was done by frequency, t-test, ANOVA, Pearson Correlation Coefficient, Stepwise multiple regrssion using SPSS-PC. The results of the study were summarized as follows : 1. The mean score of performance in the health-promoting behavior was 109.22 and range was 71 to 170. The subscale of the highest mean score was self-actualization(30.77) and the subscale of the lowest mean score was exercise(10.50). 2. The most important variable in the health promoting behavior was the perceived self-efficacy. The perceived self-efficacy explained 15.8% of the variance in health promoting behavior. The combination of perceived self-efficacy, perceived barriers, religion, perceived benefits, perceived symptom, and age explained 43.5% of the variance in health promoting behavior. 3. In the relationships between individual characteristics and experience and health promoting behavior, age, religion, the significant differences in the subscale of the health promoting behavior ; sex, educational state, previous occupation, monthly income, marrital state, perceived symptom, and visiting plan of health-promoting center. 4. The health promoting behavior was statistically significant correlated with perceived benefits, perceived barriers, affect related to action, and perceived self-efficacy.
Sohng Kyeong Yae;Moon Jung Soon;Park Ho Ran;Lee So Young
Journal of Korean Public Health Nursing
/
v.16
no.2
/
pp.337-345
/
2002
This study was designed to explore health promoting lifestyle patterns (HPLP) and self-care activities and identify related variables of patients with rheumatic disease. One hundred fifty rheumatic patients were recruited from two university based rheumatic centers according to selection criteria. Collected data were analyzed using SAS program through which with a structured questionnaire. T-test. ANOVA, and Pearson correlation coefficients were tested. The results were as follows: 1. The mean HPLP score of the subjects was 2.71, showed significant differences with economic condition and educational level. The better economic condition and more educated, showed the higher HPLP score. 2. They showed the highest practices in nutrition(mean score=3.11), and the lowest practices in exercise(mean score = 1.99). 3. The mean self-care activity score of the subjects was 3.36, showed significant differences with economic condition and educational level. The better economic condition and more educated, showed the higher self-care activity score. 4. The HPLP score of the subjects showed positive correlations with self-care activity score(r= .66). Developing health promotion programs focused on exercise and stress management is recommended not only for better health practices of patients with rheumatic disease but also for enhancing their level of well-being and life satisfaction.
Purpose: This study examined association of job stress with health-promoting behaviors and objective health status in 129 clinical nurses working at a university hospital. Methods: A cross-sectional and descriptive design was used. Job stress and health behaviors were measured with Korean Occupational Stress Scale and Heath Promoting Lifestyle Profile-II, respectively. Health status measured with afternoon plasma cortisol, C-peptide, and lipid profiles. Results: The level of job stress among clinical nurses was moderate with 51.41 on average. The mean for health-promoting behavior in the low stress group was significantly higher than that in the high or moderate stress groups (p<.001). The proportions of nurses with high C-peptide and cortisol levels, or low high-density lipoprotein levels, ranged from 14.0% to 35.7%. In particular, the percentage of nurses with high C-peptide levels was significantly higher in moderate and high stress groups than in the low stress group (24.1% versus 11.6%, p<.05). Conclusion: The study findings affirmed the associations of job stress with health-promoting behaviors as well as selected health status indicators such as C-peptide in clinical nurses. Job stress management intervention can help clinical nurses to improve their health-promoting behaviors and health status.
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