Infodemic Preparedness and COVID-19: Searching about Public Health and Social Measures Is Associated with Digital Health Literacy in University Students.

We aimed to evaluate the associations between information searching about public health and social measures (PHSM) and university students' digital health literacy (DHL) related to the new coronavirus (SARS-CoV-2) and COVID-19. METHODS: This cross-sectional study included 3,084 Portuguese university students (75.7% females), with an average age of 24.2 (SD = 7.5). Sociodemographic data, DHL questionnaire and online information concerning PHSM were gathered. Cox proportional hazards models were performed. RESULTS: Students who searched for personal protective measures achieved in shorter time sufficient "evaluating reliability" (HR = 1.4; 95% CI = 1.1; 1.7) and "determining relevance" (HR = 1.5; 95% CI = 1.2; 1.8). Searching for surveillance and response measures was associated with sufficient "determining relevance" (HR = 1.4; 95% CI = 1.1; 1.9). Finally, those students who searched for environmental, economic and psychosocial measures achieved in shorter time "determining relevance" (HR = 1.2; 95% CI = 1.0; 1.4). CONCLUSIONS: Searching for PHSM was significantly associated with an increased likelihood of achieving sufficient DHL subscales in a shorter time. Further studies are needed, including developing strategies to increase the availability of high-quality information concerning public health and social measures and to improve (digital) health literacy.

Adaptation and validation of the Digital Health Literacy Instrument for Portuguese university students.

BACKGROUND: Health literacy is an important skill to deal with information and positively influences individual and community health. Information concerning health is available from a plethora of online resources. The concept of digital health literacy has gained prominence with the pandemic. The absence of valid tools to analyse digital literacy levels are scant. This study aims to translate, adapt and validate the Portuguese version of the Digital Health Literacy Instrument (DHLI) as used in the global COVID-HL Network. METHODS: Participants were mostly students from social sciences, psychology, education and health sciences. The Portuguese version of the DHLI contained five dimensions each consisting of three items. An online survey with university students (n = 1815, 75.1% female, average age: 24.15 years) was administered to test the validity of the Portuguese version of the DHLI. Data were analysed using exploratory and confirmatory factor analysis. Pearson correlations were also studied. RESULTS: Two items revealed symmetry and kurtosis problems. We chose to eliminate them from the analysis. Different exploratory factor analysis attempts were made, obtaining two possible models to be tested in the confirmatory factor analysis: a three-factor model and a four-factor model. A four-factor structure of the instrument (information searching, adding self-generated content, evaluating reliability, determining relevance) was supported by confirmatory factor analysis and had good internal consistency. CONCLUSIONS: The Portuguese version of the Digital Health Literacy Instrument met adequate psychometric criteria. Therefore, it can be confidently used in Portuguese students' assessment of digital health literacy. Representative studies are needed to shed light on different target groups and their COVID-19-related DHLI.

Associations between COVID-19-Related Digital Health Literacy and Online Information-Seeking Behavior among Portuguese University Students.

We aim to evaluate the associations between digital health literacy (DHL) related to COVID-19 and online information-seeking behavior among university students. METHODS: A total of 3.084 students (75.7% women), with an average age of 24.2 (SD = 7.5) participated in this cross-sectional study, most of whom (36.5%) were from social sciences and pursued a bachelor's degree (50.7%). Data on COVID-19-related DHL and online information-seeking behavior were collected using an online questionnaire. Logistic regression models were performed. RESULTS: As the pandemic progressed, participants showed a lower chance of achieving a sufficient DHL (OR = 0.7; 95% CI = 0.6; 0.9). Using search engines more often (e.g., Google) (OR = 0.7; 95% CI = 0.5; 0.9), Wikipedia (OR = 0.7; 95% CI = 0.6; 0.9) and social media (e.g., Facebook) (OR = 0.7; 95% CI = 0.6; 0.9) decreased the likelihood of achieving sufficient DHL related to COVID-19. More frequent use of websites of public bodies (OR = 1.7; 95% CI = 1.1; 2.5) increased the odds of reporting sufficient DHL. CONCLUSION: DHL is associated with university students' online information-seeking behavior in the time of COVID-19. From a community and public health perspective, programs aiming at improving DHL should be highlighted.