Digital Health Literacy and Information-Seeking Behavior among University College Students during the COVID-19 Pandemic: A Cross-Sectional Study from Denmark.

The COVID-19 pandemic and the concomitant infodemic have emphasized the importance of digital health literacy (DHL) to global public health research and practice. The aim of this study was to examine information-seeking behavior, the ability to find, understand and deal with health information among university college students in Denmark and/in addition we wanted to examine the impact of their close social network on students' ability to find and understand health information. This research was carried out as part of the COVID-HL university student survey by using a uniform questionnaire consisting of elaborated scales. Data were collected from a cross-sectional survey conducted at University College South during 4 weeks in April and May 2020. To capture DHL, four subscales of the DHL instrument were adapted to the pandemic context. A total of 59.9% of the students have sufficient DHL-most students find it rather easy to find information and are satisfied with the information they find on the internet. However, some (28.1%) students find it difficult to judge the quality and reliability of the information. Students with a sufficient level of DHL are more likely to seek information through search engines and websites of official institutions, while students with a limited level of DHL more often use social media for health information. Students with sufficient DHL more often share health information and less often ask for support in their network.

Employment Status and Health Literacy in Denmark: A Population-Based Study.

Objectives: Examining whether specific population groups who are not working and those who have an employment have the same health literacy level. Methods: Data were retrieved from a nationally representative cross-sectional study of the Danish population conducted with the health literacy questionnaire (HLS-EU-Q16) in 2016 and 2017. Socio-demographic characteristics were drawn from national registers. Odds ratio for the association between employment status and health literacy was estimated from logistic regression models, adjusted for socio-demographic characteristics. Probability weights were used to adjust for differences in responses. Results: Logistic regression analyses showed that receiving unemployment benefits, social assistance, employment and support allowance, retirement pension and sickness benefit were significantly associated with having inadequate health literacy compared to being employed in any industry. The highest odds ratio for inadequate health literacy was present for receiving unemployment benefit OR = 1.78 (95% CI: 1.23-2.56). Conclusion: Population groups not working and receiving economic public support have higher odds of inadequate health literacy competencies compared to those active in the labor force, considering age and socioeconomic factors. The result contributes to understanding health disparities in connection to occupational situation.

Self-rated health, ethnicity and social position in a deprived neighbourhood in Denmark.

BACKGROUND: In recent years the close connection between SES and differences in health between ethnic groups have been subject to growing interest among researchers, and some studies have found an association between ethnicity and long term illness and poor health. However, there is limited research-based knowledge about health and illness in ethnic groups in Denmark and about ethnic Danes living in deprived neighbourhoods. The purpose of this study is to investigate associations between self-rated health and ethnicity and social position in a deprived neighbourhood in Denmark in which a relatively largely proportion of the residents are immigrants. METHODS: This study investigates the association between self-rated health used as dependent variable and ethnicity and social position (defined as index for life resources) as the independent variables. The analyses are based on data collected in a survey in a geographically bounded and social deprived neighbourhood, Korskaerparken, located in the municipality of Fredericia in Denmark. The sample consisted of 31% of the residents in Korskaerparken and of these 29% have an ethnic background other than Danish.The analyses were conducted using logistic regression adjusting for confounding variables. RESULTS: This study indicates no significant association between ethnicity and having poor/very poor self-rated health.On the other hand the study confirms that a strong and significant association between the number of residents' life resources and their self-rated health does indeed exist. The results clearly suggest that the more life resources an individual has, the lower is the risk of that individual reporting poor health. CONCLUSION: The results show a strong association between the residents' number of life resources and their self-rated health. In this study, we were not able to identify any association between ethnicity and self-rated health, i.e. our results suggest that ethnicity does not constitute an explanation to differences in self- rated health.