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Effective use of online COVID-19 information and eHealth information literacy among US university students.
Gu, Yulong; Kalibatseva, Zornitsa; Song, Xu; Prakash, Sreelekha.
Afiliación
  • Gu Y; School of Health Sciences, Stockton University, Galloway, NJ, USA.
  • Kalibatseva Z; School of Social and Behavioral Sciences, Stockton University, Galloway, NJ, USA.
  • Song X; School of Arts and Humanities, Stockton University, Galloway, NJ, USA.
  • Prakash S; School of Health Sciences, Stockton University, Galloway, NJ, USA.
J Am Coll Health ; : 1-8, 2022 Jun 03.
Article en En | MEDLINE | ID: mdl-35658100
Objective: This study aimed to understand students' ability to search the Internet for COVID-19 information and apply it to evaluate the veracity of specific statements. Participants: Undergraduate students (N = 239) at a US university completed a Web-based questionnaire in September-October 2020. Methods: The questionnaire included self-reported measures of online health information literacy, COVID-19 knowledge, and anxiety along with exercises on searching and evaluating COVID information online. Results: Students reported moderate levels of information literacy (76%, 3.8 out of 5), but did not perform as well while searching the Internet for COVID-19 information (average accuracy: 65%, 10.5 out of 16 points). Students with higher Internet exercise scores reported higher GPA, higher household income, and liberal political views, and were more likely to follow public health measures [ie, social distancing, mask wearing, and not self-medicating with (hydroxy)chloroquine]. Conclusions: University students may overestimate their information literacy while struggling with searching the Internet for accurate COVID-19 information.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Am Coll Health Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Am Coll Health Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos