Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Patterns of health literacy among vulnerable unemployed citizens: a cross-sectional study in a Danish municipality.

Created on 25 Sep 2025

Authors

Maria Nivi Schmidt Petersen, Carl Johannes Middelboe, Ole Steen Mortensen, Rikke Fredenslund Krølner, Tine Tjørnhøj-Thomsen, Annette Kjær Ersbøll, Esben Boeskov Øzhayat

Published in

BMC public health. Volume 25. Issue 1. Pages 3111. Sep 24, 2025. Epub Sep 24, 2025.

Abstract

Poor health and related health literacy (HL) can make it challenging for unemployed people to enter the labor market. This study aimed to identify priority groups and the most prominent HL challenges for tailoring interventions by mapping HL challenges among vulnerable unemployed citizens in a municipality in Denmark.
The citizens completed questionnaires on HL and sociodemographic characteristics. We used descriptive statistics to calculate the proportion of HL challenges and characterize the participants. A latent class analysis was performed to group individuals with similar HL challenges.
A total of 86 citizens were included in the study with a median age of 51.5 and 73.3% being female. The most frequent HL challenge was "Navigating the healthcare system" (87.2%). Two distinct classes were identified: one with few HL challenges and one with many challenges. Participants belonging to the class with many HL challenges were characterized by having lower socioeconomic positions and more health limitations compared to citizens in the class with few HL challenges.
Based on the findings interventions may be developed to improve 1) the HL in vulnerable unemployed citizens and 2) the system's ability to accommodate citizens with poor HL. Such interventions could improve the health of the citizens and thus their labor market prospects. Depending on the target group, these should have a broad HL focus or a more specific focus on navigating the healthcare system.

PMID:
40993630
Bibliographic data and abstract were imported from PubMed on 25 Sep 2025.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 21
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement