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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 questionn...

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Detalles Bibliográficos
Autores principales: Svendsen, Ida W., Damgaard, Maria B., Bak, Carsten K., Bøggild, Henrik, Torp-Pedersen, Christian, Svendsen, Majbritt T., Berg-Beckhoff, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565272/
https://www.ncbi.nlm.nih.gov/pubmed/34744563
http://dx.doi.org/10.3389/ijph.2021.598083
Descripción
Sumario: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.