Association of Electronic Health Literacy with Health-Promoting Behaviors in Patients with Type 2 Diabetes: A Cross-sectional Study

Kyoung A. Kim, Yu Jin Kim, Mona Choi

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

It is important to know how well patients with type 2 diabetes understand and use health information available online in relation to health-promoting behaviors. Thus, the purposes of this study were to examine the association among electronic health literacy, perceived benefits, self-efficacy, and health-promoting behaviors in patients with type 2 diabetes, and to identify factors that affect health-promoting behaviors. A cross-sectional survey was conducted in a diabetes center in Seoul, South Korea. It was found that health-promoting behaviors were significantly correlated with electronic health literacy (r = 0.15, P <.05), perceived benefits (r = 0.15, P <.05), and self-efficacy (r = 0.47, P <.01). In the multiple linear regression analysis to identify the factors influencing health-promoting behaviors, electronic health literacy (β =.13, P =.040) and self-efficacy (β =.38, P <.001) were found to be significant factors, even after adjusting for general and disease-related characteristics. Strategies to improve health-promoting behaviors in patients with type 2 diabetes should focus on analyzing levels of electronic health literacy and deepening their understanding of online information accordingly.

Original languageEnglish
Pages (from-to)438-447
Number of pages10
JournalCIN - Computers Informatics Nursing
Volume36
Issue number9
DOIs
Publication statusPublished - 2018 Sep 1

Bibliographical note

Funding Information:
Author Affiliations: Graduate School, College of Nursing, Yonsei University (Ms K. A. Kim); Department of Nursing, Asan Medical Center (Ms Y. J. Kim); Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University (Dr Choi), Seoul, South Korea. This study supported by the faculty-student research fund from Yonsei University College of nursing.

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Nursing (miscellaneous)

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