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.
Purpose: This study was to examine the relationship between health perception, prenatal care behaviors and health promoting behaviors of unmarried pregnant women. Method: The subjects were 97 unmarried pregnant women. The data was collected through personal interviews using a questionnaire. Adjusted instruments were the health perception scale developed by Ware, prenatal care behavior scale developed by Lee, and health promoting behavior scale developed by Pender. Data was analyzed by descriptive statistics, t-test, ANOVA, and the Pearson correlation coefficient with SPSS program. Result: The mean score of health perception was 3.3, and Resistance-Susceptibility was the highest. The mean score of prenatal care behaviors was 2.9, while that of health promoting behaviors was 2.5. The relationship between health perception and prenatal care behaviors was significant(r=0.268, p=.008). The relationship between prenatal care behaviors and health promoting behaviors was also significant (r=0.633, p=.000). Conclusion: The higher the health perception of unmarried pregnant women, the more they are concerned about good prenatal care behaviors. Unmarried pregnant women did well on health promoting behaviors when they had are high degree of good prenatal care behaviors. Therefore, in order to promote positive health perceptions of unmarried pregnant women, it is necessary to develop and adjust various education and supporting programs.
Purpose: The purpose of this study was to investigate the relation between perceived health status and health-promoting behaviors in female college students. Method: Data were collected from December 10 to 31. 2007. In 160 female college students, perceived health status was measured using the Medical Outcomes Short-Form Health Survey (SF-36), and health-promoting behaviors using the Health Promoting Lifestyle Profile (HPLP). Results: The major findings of this study were as follows: 1) The mean scores of the level of health promoting behaviors, physical health status, and mental health status were 2.44 (SD=0.39), 51.9 (SD=8.03), and 42.56 (SD=10.77), respectively. 2) Health-promoting behaviors were correlate with physical health status (r=-.361) and mental health status (r=.498). 3) Health-promoting behaviors were significantly associated with allowance and mental health in capability, which explained 28.9% of variance in health-promoting behaviors. Conclusion: The results suggest that it is necessary to strengthen female college students' practice of exercise and responsibility for health in order to improve their health promotion behaviors. Also, the results of this study give useful information for designing interventions and program development for female college students' appropriate health promoting life.
This study examines the effects of health-promoting behaviors of grandmothers participating in their infant grandchildren's nurture and provides data for enhancing the quality of their lives. The sample included 218 consenting subjects who understood the purpose of the study. These subjects resided in three cities in Jeollanam-do, Korea, and were grandmothers entrusted by their adult children with a considerable amount of nurturing for their preschool-aged grandchildren under the age of six. First, the subjects scored an average of 3.05 for health-promoting behaviors and 2.42 for entrapment. Second, the entrapment measurement based on general characteristics showed a higher level of entrapment for those with better health, a lower education level, no religion, male grandchildren to nurture, and unsatisfactory compensation. Third, health-promoting behaviors and entrapment (r=-.304) were negatively correlated. Fourth, the analysis results for effects of health-promoting behaviors of grandmothers on entrapment based on general characteristics of grandmothers as a control variable reveal a significant effect of health-promoting behaviors on entrapment. In other words, the greater the employment of health-promoting behaviors, the less likely the entrapment was to be perceived. Fifth, the results for effects of subcriteria for health-promoting behaviors on entrapment reveal a decrease in entrapment when the subjects engaged in an appropriate level of physical activity with a relaxed state of mind. These results suggest that health-promoting behaviors of grandmothers participating in their infant grandchildren's nurture are likely to influence entrapment and thus that grandmothers should make efforts to actively engage in health-promoting behaviors to reduce any maladaptive effects on nurturing. Social support and related programs should be fostered to enable grandmothers to better practice health-promoting behaviors while nurturing their grandchildren.
Journal of the Korean Society of Physical Medicine
/
v.11
no.2
/
pp.17-24
/
2016
PURPOSE: This study aimed to evaluate the effects of health-promoting behaviors on the subjective well-being of a physical therapist. METHODS: Survey data were collected from 247 physical therapists in Daejeon city. The baseline for health-promoting behaviors was determined using Health Promoting Lifestyle Profile (HPLP), subjective well-being was determined using Positive Affect and Negative Affect Schedule (PANAS), quality of life was measured using the SF-36 (Short-Form 36), and pain level was determined using the Quadruple Visual Analogue Scale (QVAS). Health-promoting behaviors and related factors were analyzed using an average comparative analysis (t-test), and the factors relevant to subjective well-being and health-promoting behaviors were evaluated using correlation analysis (Pearson's correlation coefficient). Factors affecting health-promoting behaviors were evaluated using stepwise multiple regression analysis (stepwise multiple regression). RESULTS: The mean score for health-promoting behavior was 3.73, with emotional support having the highest score (3.90) and regular meals having the lowest score (3.16 points; p<0.01). Health-promoting behavior was significantly correlated with positive emotions and negative emotions are subjective well-being, negative emotions and pain were noted (p<0.01). Health-promoting behaviors showed a significant correlation with quality of life (r=0.04), positive emotions (r=0.21; p<0.01), negative emotions (r=0.16; p<0.05), and pain level (r=0.016). The results of this study showed that health-promoting behaviors are significant predictors of subjective well-being in physical therapists (p<0.01). CONCLUSION: Physical therapists have to maintain their health by avoiding infections. Regular exercise is the most important factor among all health-promoting behaviors.
This study was done to suggest directions for research and interventions of health promoting behaviors in Korean older adults in the future. Thirty seven articles for health promoting behaviors in Korean older adults were reviewed and analyzed. Findings are summarized as follows: 1) The total scores of the HPLP in Korean older adults were 2.30-2.44 out of 4 points. In the subscale, the highest degree of performance is nutrition, following interpersonal support, self actualization, stress management, health responsibility and the lowest degree of performance was exercise. 2) The total scores of the Health Behavior Assessment Tool of the Korean Elders were 2.87-3.2 out of 4 points. 3) Among the characteristics of older adults, monthly pocket money, previous job had consistently significant relationships with health promoting behaviors. Sex, job and presence of disease were consistently insignificant relationships with health promoting behaviors. 4) Perceived health status, self efficacy, self esteem, family support and social support had consistently significant correlations with health promoting behaviors. 5) In regression analysis, self efficacy, family support, depression, self esteem were the most powerful predictors of health promoting behavior in more than two articles. Predictors accounted for 14.2-65.2 % of the variance in health promoting behaviors of Korean older adults. On the basis of above findings, It is necessary to develop the interventions for more regular practice of the health promoting behaviors in Korean older adults. The interventions are recommended to focus increasing the exercise & health responsibility and to use the strategies to increase self esteem, self efficacy, social support including family support.
Purpose: This study aimed to investigate sleep, fatigue, and the level of health promoting behaviors in Korean army soldiers. The factors influencing on health promoting behaviors of soldiers were also identified. Methods: A cross-sectional descriptive survey design was used. Data was collected from 269 soldiers in four military units of Korea in July 2015. Verran and Snyder-Halpern Sleep Scale, Fatigue Severity Scale, and Health Promoting Lifestyle Profile-II were used. Results: The health promoting behaviors were significantly different by perceived health status (p<.001) and presence of fatigue (p<.001). There were significant correlations between quality of sleep, fatigue, and health promoting behaviors of the subjects. In a multiple linear regression analysis, the level of health promoting behaviors were lower in the subjects with high level of fatigue (p<.001) and with fair perceived health status (p=.003). Conclusion: In order to increase health promoting behaviors of soldiers, it takes into account of soldiers' fatigue and perceived health status. Environmental arrangement for soldiers for the break time is needed urgently to decrease their fatigue as well as to improve their sleep quality.
Purpose: The purpose of this descriptive study was to identify predictors on health promoting behaviors of university students. Methods: The participants were 310 students by convenience sampling in G city. The data were collected through a questionnaire given to the students between September 10 to November 6, 2006. Descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression were used to analyze the data. Results: The mean score for the level of health promoting behaviors and optimism was 2.60(${\pm} .31$) and 2.70(${\pm} .55$) respectively. The most frequently used coping skill was the pursuit of social support. There were positive correlations between health promoting behaviors and optimism, between health promoting behaviors and active coping skill, and between health promoting behaviors and passive coping skill. In stepwise multiple regression analysis, the most powerful predictor of health promoting behaviors was active coping skill. Conclusion: The results suggest that coping skills with optimism can be considered when developing a health promotion program for university students.
Purpose: The aims of this study were to identify health literacy and health promoting behaviors in adolescents and to examine the relationship between these variables. Methods: A descriptive correlational study design was used with self-administrated questionnaires. A total of 212 third-year middle school students in G province were conveniently sampled. Korea health literacy assessment tool-2, Korean functional health literacy test, and the health promoting lifestyle profile were used. Data analyses were performed using SPSS/WIN 21.0. Results: Linguistic health literacy and functional health literacy scores were $37.18{\pm}17.74$ and $11.86{\pm}2.77$, respectively. Health promoting behaviors was $2.95{\pm}0.34$. The relationships between linguistic health literacy and health promoting behaviors (r=.405, p<.001) and between functional health literacy and health promoting behaviors (r=.168, p<.001) showed statistically significant positive correlations. Linguistic health literacy was also positively related with functional health literacy (r=.196, p<.001) with statistical significance. Conclusion: The degree of health literacy of middle school students was somewhat low, but was significantly correlated with health promoting behaviors. To improve health promoting behaviors, there needs to be an increase in health literacy.
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.
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