• Journal of the Korean Society of School Health
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• v.32 no.3
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• pp.165-174
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• 2019

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 Journal of Korean Society for School & Community Health Education
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• v.19 no.2
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• pp.77-86
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• 2018

Objectives: This study aimed identify of the level and effect of the e-health literacy and health behavior in health science majors Methods: The data was collected from March 5 to March 15, 2018 for student majoring in health science at a university in the C city. The data were analyzed with the SPSS 21.0. Results: First, the e-health literacy were statistically significant in grades (F=5.769, p=0.001), health interest (F=10.553, p<0.001) and health care time (F=3.841, p=0.023), and health behavior were statistically significant in subjective health condition (F=5.476, p=0.05), health interest (F=16.716, p<0.001), and health care time (F=28.479, p<0.001). Second, the e-health literacy were correlated with grades, health care time, economic level and health interest, and health behavior were related to health care time, e-health literacy, subjective health condition and health interest. Third, health behavior related factors were health care time, e-health literacy, grades, subjective health condition, and health interest. Conclusion: The related knowledge and skills should be applied to basic classes in order to ensure that health science majors care can accurately utilize the information on the e-health.

• Women's Health Nursing
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• v.28 no.4
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• pp.329-337
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• 2022

Purpose: The purpose of this study was to investigate the influence of eHealth literacy, reproductive health knowledge, and self-esteem on early adult women's health-promoting behaviors (HPB). This study was based on Pender's health promotion model as a theoretical underpinning. Methods: Early adult women aged 18 to 35 years (n=165) were recruited by posting advertisements on social network sites for a student club and a faith-based community in Ansan, Korea. Willing individuals were invited to participate in the online survey from June 1 to June 30, 2022. Standardized instruments were used to measure HPB, eHealth literacy, reproductive health knowledge, and self-esteem. General characteristics included income level, perceived subjective health, and internet usage time. The collected data were analyzed using the independent t-test, one-way analysis of variance, Pearson correlation coefficients, and multiple regression. Results: The mean age of the respondents was 21.97±3.87 years. The total HPB score was 120.69, corresponding to a moderate level; and the total scores for eHealth literacy (30.24), knowledge of reproductive health (23.04), and self-esteem (35.62) were higher than the midpoint. The model explained 53.3% of variance in HPB, and self-esteem (β=.48, p<.001) was the most influential factor. Other influential factors were, in descending order, higher economic level, higher subjective health status, greater eHealth literacy, and less internet use time (<2 hours/day). Conclusion: In order to promote the health of early adult women, counseling or programs that positively improve self-esteem appear promising, and eHealth literacy should be considered as a way to promote HPB using information technology.

• Journal of Korean society of Dental Hygiene
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• v.22 no.1
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• pp.11-19
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• 2022

Objectives: The purpose of this study was to identify new variables that can enhance adult oral health behaviors by confirming the degree of adult e-health literacy, oral health knowledge, and oral health behaviors and examining their relevance. Methods: A self-reported questionnaire was filled out by 350 adults from June 22 to August 1, 2021. Data were analyzed using SPSS 23.0. independent t-test, one way ANOVA, the scheffé post-hoc test and the pearson correlation coefficients were reviewed, A hierarchical regression analysis was conducted. Results: Oral health behaviors according to general characteristics showed significant differences in gender, educational background, dental visit within 1 year, subjective oral health status, oral health interest, frequency of oral internet use, and reliability of internet oral health information. Also it was found that e-health literacy affects oral health behavior. Conclusions: In this study, e-health literacy, oral health knowledge, and oral health behavior were correlated and it was confirmed that e-health literacy had an effect on oral health behavior. In the future, it is necessary to develop a tool that can measure e-oral health literacy and to find a way to improve the oral health behavior of adults by using e-oral health literacy.

• Health Policy and Management
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• v.28 no.2
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• pp.119-127
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• 2018

Background: This study aimed to examine (1) the patterns of online health information search with respect to seeking and scanning, and (2) how online search, along with eHealth literacy, predicts perceived information usefulness in the context of diet and weight control. Methods: Online survey was conducted with 299 adults from the consumer panel recruited for the purpose of quality assessment of the Korean National Health Information Portal in 2016. We conducted paired sample t-test and multiple logistic regression to address the research questions. Data analysis was performed using IBM SPSS Statistics ver. 24.0 (IBM Corp., Armonk, NY, USA) and SAS ver. 9.3 (SAS Institute Inc., Cary, NC, USA). Results: Of the respondents, 38.8% were 'high seek-high scanners,' 35.8% were 'low seek-low scanners,' 13.0% were 'high seek-low scanners,' and 12.4% were 'low seek-high scanners.' eHealth literacy was a significant, positive predictor of online information scanning (odds ratio [OR], 2.46; 95% confidence interval [CI], 1.41-4.29), but not for online information seeking (OR, 1.75; 95% CI, 1.00-3.05). With respect to perceived usefulness of online information seeking, online seeking (OR, 4.90; 95% CI, 2.19-11.00) and eHealth literacy (OR, 2.30; 95% CI, 1.11-4.75) were significant predictors. Perceived usefulness of online scanning had a significant association with online scanning (OR, 2.38; 95% CI, 1.08-5.22), but not with eHealth literacy. Conclusion: To increase the effectiveness of the health policy for online information search and related outcomes in the context of diet and weight control, it is important to develop education programs promoting eHealth literacy.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.321-332
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• 2020

The purpose of this study was to identify relationships among level of e-Health literacy, subjective health status and health-seeking behaviors. Subjects were 102 senior citizens who used the internet at least once in the last month and visited elderly community centers and welfare centers. Collected data were analyzed descriptive statistics, t-test, ANOVA, Pearson's Correlation Coefficient, and Multiple Regression using SPSS version 25.0. Fifty five percent of subjects responded the average weekly internet usage hours was 'less than 3 hours', The e-health literacy (r=.349, p<.001) and subjective health status (r=.466, p<.001) were positively correlated with health seeking behavior. Subjects' gender (β=.22, p=.012), type of disease (β=.23, p=.013) and subjective health status (β=.38, p<.001) had significant effects on health-seeking behaviors. The results suggest that the development of intervention programs to increase the level of e-Health literacy and subjective health status to improve of their health-seeking behaviors.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.1
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• pp.71-81
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• 2024

Purpose: This study aimed to identify the relationship between nursing professionalism and nursing intention for patients with emerging infectious diseases of nursing students who had experienced coronavirus disease 2019 (COVID-19), with a focus on the mediating effect of e-Health literacy. Methods: The study surveyed 177 nursing students who had experienced COVID-19. The data were collected using self-reported questionnaires. The collected data were analyzed using IBM SPSS statistics 25.0, and the mediating effect was analyzed through the SPSS Process macro model 4. Results: Nursing professionalism (β=.26, p=.002) and e-Health literacy (β=.18, p=.021) were found to be significant predictors of nursing intention for patients with emerging infectious diseases. In addition, e-Health literacy partially mediated the relationship between nursing professionalism and nursing intention for patients with emerging infectious diseases. Conclusion: e-Health literacy was a mediating factor in the relationship between the nursing professionalism and nursing intention of nursing students for patients with emerging infectious diseases. In order to improve nursing intention of nursing students for patients with emerging infectious diseases, it is important to develop an education program that can enhance their e-Health literacy as well as nursing professionalism.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.3
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• pp.269-277
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• 2013

Purpose: The purposes of the study were to identify level of health literacy and factors influencing health literacy of migrant workers. Methods: Data were collected using a cross sectional correlational design. Participants were 128 migrant workers in Korea. Data were analyzed using descriptive statistics, independent t-test, ANOVA, Scheff$\acute{e}$ test, and hierarchical multiple regression with the SPSS 18.0 program. Results: The health literacy level of migrant worker was low and they had difficulty in understanding patient education materials and medical forms. Factors influencing health literacy were residential areas (city or rural), education level, length of stay in Korea, and ability to understand spoken Korean. Regression model accounted for 14.2% of the variance in health literacy. Conclusion: Lower levels of health literacy make it difficult for migrant works to visit medical facilities and perform health behaviors appropriately. Therefore, diverse strategies should be developed by nurses to enhance the health literacy level of migrant workers.

• Journal of muscle and joint health
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• v.28 no.3
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• pp.252-262
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• 2021

Purpose: To define the concept of digital health literacy and identify its attributes. Methods: Walker and Avant's approach was employed for concept analysis. Attributes, antecedents, consequences, and the definition of digital health literacy were derived from a review of 28 studies. Results: Digital health literacy was identified to possess the following five attributes: health information seeking, health information processing, health information communication, health-related knowledge translation, and utilizing digital technology. Basic literacy skills, health concerns, motivation to use technology for health information, and access to digital technologies were all antecedents of the concept. The consequences of the concept were health behaviors, patient engagement, health status, and quality of life. Digital health literacy is the ability to seek relevant health information utilizing digital technology to solve health problems and improve quality of life. Furthermore, it refers to the translation of health-related knowledge obtained through health information processing-finding, understanding, and evaluating health information and health information communication-into the context in which individual and social factors interact. Conclusion: This study presented a new definition of digital health literacy that goes beyond existing internet-based eHealth literacy, by incorporating the context of emerging digital technologies. This proposed definition can serve as a foundation for the development of instruments and educational programs to improve individuals' digital health literacy.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.39-47
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• 2019

The purpose of this study was to investigate health concern, health information orientation, e-health literacy and health behavior, and to identify affecting factors of health behavior on elderly women. The subjects consisted of 203 elderly women in the C city. The variables were measured using questionnaires, analyzed using descriptive statistic, t-test, ANOVA, and multiple regression analysis. The health concern, health information orientation and health behavior were not significant difference in 60s and 70s. The e-health literacy was significant difference. Factors influencing health behavior in 60s was health information orientation, and explanation of health behavior is 14.8%. In 70s was living situation, and explanation of health behavior is 6.6%. These results suggest that it is necessary to develop health promotion program to improve health behavior for elderly women, and including health concern, e-health literacy in the information era.