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Background <p>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.</p> Methods <p>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.</p> Results <p>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.</p> Conclusions <p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月24日

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

摘要

Background

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.

Methods

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.

Results

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.

Conclusions

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.