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J Health Info Stat > Volume 48(1); 2023 > Article
J Health Info Stat 2023;48(1):60-67.
Published online: February 28, 2023.
DOI: https://doi.org/10.21032/jhis.2023.48.1.60

관상동맥 질환자의 온라인 건강정보 지향과 e-헬스 리터러시가 건강행위에 미치는 영향
임홍아1 , 송영숙2
1포항세명기독병원 QPS팀장
2경북대학교 간호대학 교수
The Influence of Online Health Information Orientation and e-Health Literacy on Health Behavior in Patients with Coronary Artery Disease
Hong-A Lim1 , Yeoungsuk Song2
1QPS team leader, Pohang SM Christianity Hospital, Pohang, Korea
2Professor, College of Nursing, Kyungpook National University, Daegu, Korea
Corresponding author:  Yeoungsuk Song,Tel: +82-53-420-4978, Email: asansong@knu.ac.kr
Received: November 2, 2022; Revised: February 17, 2023   Accepted: February 28, 2023.
ABSTRACT
Objectives:
The purpose of this study is to understand the effect of online health information orientation and e-health literacy on health behavior for patients with coronary artery disease.
Methods:
A cross-sectional and descriptive study design was used. Data collection was conducted from 130 patients with coronary artery disease who admitted to a general hospital in Pohang city between April and June 2020, and a self-administrated questionnaire was conducted. Data analysis was performed using the SPSS 22.0 program with descriptive statistics, Pearson’s correlation, and multiple regression analysis.
Results:
Online health information orientation and e-health literacy (r = 0.77, p< 0.001) 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 = 0.22, p= 0.013; r = 0.22, p= 0.011). Multiple regression analysis for health behavior revealed that the significant predictors were smoking (β= 0.36), age ≤ 49 (β= -0.35), and 50-59 (β= -0.26). These factors explained 33.2% of the variance (F = 7.41, p< 0.001). Among the sub-areas of health behavior, it was e-health literacy that influenced the exercise area (β= 0.22, p= 0.011).
Conclusions:
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.
Key words: Coronary artery disease, Health behavior, Health literacy, Open access to information
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