Purpose: The purpose of this study is to understand the effect of online health information orientation and e-health literacy on health behavior for patients hospitalized for coronary artery disease and to be used as basic data in developing intervention programs for coronary artery patients.
Me...
Purpose: The purpose of this study is to understand the effect of online health information orientation and e-health literacy on health behavior for patients hospitalized for coronary artery disease and to be used as basic data in developing intervention programs for coronary artery patients.
Method: Data collection was conducted on 130 patients with coronary artery disease who were admitted to one general hospital in P city between April and June 2020, and a self-written questionnaire was conducted. Data analysis was performed using the SPSS 22.0 program, and Pearson's correlation and multiple regression analysis were used.
Result: Online health information orientation of coronary artery patients was 2.64±1.12 points, and e-health literacy was 2.42±1.15 points. General characteristics that had a significant correlation with the two factors were gender, age, education, occupation, family dependent, health information source, frequency of use of online information, type of acquired information, and discomfort when using online. The health behavior score was 2.87±0.50. The general characteristics that had a significant correlation with the health behavior were age, smoking, diagnosis period, and health concern. Online health information orientation and e-health literacy (r=.77, p<.001) showed a statistically significant positive correlation, but health behavior did not show any correlation with two variables. Online health information orientation and e-health literacy had a significant correlation with exercise out of health behavior (r=.22, p=.013; r=.22, p=.011). Multiple regression analysis for Health behavior revealed that the significant predictors were age≤49 (β=-.35), age 50∼59 (β=-.26), smoking (β=.36). These factors explained 33.2% of the variance.
Conclusion: Online health information orientation and e-health literacy did not affect health behavior, but e-health literacy was found to be a significant variable in the exercise area among the lower areas of health behavior. Therefore, the higher the e-health literacy is, the higher the exercise behavior during health activities.
Purpose: The purpose of this study is to understand the effect of online health information orientation and e-health literacy on health behavior for patients hospitalized for coronary artery disease and to be used as basic data in developing intervention programs for coronary artery patients.
Method: Data collection was conducted on 130 patients with coronary artery disease who were admitted to one general hospital in P city between April and June 2020, and a self-written questionnaire was conducted. Data analysis was performed using the SPSS 22.0 program, and Pearson's correlation and multiple regression analysis were used.
Result: Online health information orientation of coronary artery patients was 2.64±1.12 points, and e-health literacy was 2.42±1.15 points. General characteristics that had a significant correlation with the two factors were gender, age, education, occupation, family dependent, health information source, frequency of use of online information, type of acquired information, and discomfort when using online. The health behavior score was 2.87±0.50. The general characteristics that had a significant correlation with the health behavior were age, smoking, diagnosis period, and health concern. Online health information orientation and e-health literacy (r=.77, p<.001) showed a statistically significant positive correlation, but health behavior did not show any correlation with two variables. Online health information orientation and e-health literacy had a significant correlation with exercise out of health behavior (r=.22, p=.013; r=.22, p=.011). Multiple regression analysis for Health behavior revealed that the significant predictors were age≤49 (β=-.35), age 50∼59 (β=-.26), smoking (β=.36). These factors explained 33.2% of the variance.
Conclusion: Online health information orientation and e-health literacy did not affect health behavior, but e-health literacy was found to be a significant variable in the exercise area among the lower areas of health behavior. Therefore, the higher the e-health literacy is, the higher the exercise behavior during health activities.
주제어
#Online Health Information Orientation e-Health Literacy Health Behavior Coronary Artery Patients
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