Factors Affecting Covid-19 Preventive Behaviors of Young Adults based on eHealth Literacy and the Health Belief Model
A Cross-Sectional Study
Bibliographic Data
| ID | 13775370 |
|---|---|
| Authors | Hye Seung Choi (0000-0001-5694-6821, The Catholic University of Korea, Seoul, Korea), Jong‐Eun Lee (0000-0002-5989-5086, The Catholic University of Korea, Seoul, Korea, corresponding author) |
| Year | 2023 |
| Volume | 60 |
| Pages | 469580231159487-469580231159487 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | INQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL) |
| Journal identifiers | ISSN: 0046-9580 • E-ISSN: 1945-7243 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/00469580231159487 |
| PMID | 36998209 |
| OpenAlex | W4362015027 |
| Language | EN |
| Citations received | 2 |
| References cited | 38 |
Following the COVID-19 pandemic, disease prevention and preventive behaviors have become crucial for public health. In young adults, the internet is a popular source of health information. However, research that explores the factors associated with disease preventive behaviors based on the eHealth literacy (eHL) and the Health Belief Model (HBM) in young adults is lacking. A cross-sectional study design was used. Snowball sampling was used to recruit the participants through social network services. Proportionate stratified sampling was applied according to age, sex, and education level to mitigate sampling bias. The URL link for the online survey was provided via their mobile phones. A total of 324 participants, aged 20 to 39, completed the structured questionnaires (response rate = 98.2%). Frequency and descriptive statistical analyses, independent t -tests, one-way analyses of variance, Pearson's correlation coefficients, and multiple linear regression analyses were performed. Factors associated with COVID-19 preventive behaviors were COVID-19-related eHL (β = .376, P P < .001), which were positively associated with COVID-19 preventive behaviors. Boosting self-efficacy and the ability to find, evaluate, and apply health information with sufficient evidence from the Internet can improve COVID-19 preventive behaviors. The government and healthcare personnel should consider psychological factors such as self-efficacy when developing COVID-19 disease prevention behavioral guidelines for the Internet
Cross-sectional study · Descriptive statistics · eHealth · Environmental health · Health belief model · Health care · Health education · Health literacy · Literacy · Public health · Self-efficacy · Snowball sampling · Statistics · Stratified sampling · The Internet · Computer Science · COVID-19 and Mental Health · Health Literacy and Information Accessibility · Medicine · Misinformation and Its Impacts · Nursing · Psychology · Social Psychology · Gerontology
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| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |