This study examined the relationships among eHealth literacy, information consumption ?from different sources, information overload, information anxiety, and information avoidance. ?Drawing on the Comprehensive Model of Information Seeking framework (Johnson et al., ??1995), a model was proposed to investigate factors influencing information avoidance during ?the COVID-19 pandemic. ?Data were collected from adults in the United States using an online survey and the ?proposed model was initially tested using SEM (n=1,875). The research questions were ?answered using Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural ?Modeling correlational analyses, reliability analyses, and Generalized Linear Modeling. The ?results showed the data do not fit the initial model properly. However, by implementing EFA, ?an alternative best-fit model was identified. In addition, the study shows that information ?consumption from both credible and noncredible sources had a significant relationship with ?information overload and eHealth literacy. Also, eHealth literacy, information overload, and ?information anxiety can be predictors of information avoidance.? [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]