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Patterns of health literacy among vulnerable unemployed citizens: a cross-sectional study in a Danish municipality
by
Øzhayat, Esben Boeskov
, Petersen, Maria Nivi Schmidt
, Middelboe, Carl Johannes
, Tjørnhøj-Thomsen, Tine
, Mortensen, Ole Steen
, Krølner, Rikke Fredenslund
, Ersbøll, Annette Kjær
in
Adult
/ Aged
/ Analysis
/ Biostatistics
/ Challenges
/ Cities
/ Citizens
/ Cross-Sectional Studies
/ Denmark
/ Employment
/ Environmental Health
/ Epidemiology
/ Female
/ Forecasts and trends
/ Health aspects
/ Health care
/ Health care policy
/ Health education
/ Health literacy
/ Health Literacy - statistics & numerical data
/ Health problems
/ Health services
/ Health status
/ Humans
/ Intervention
/ Labor
/ Labor market
/ Latent class analysis
/ Literacy
/ Male
/ Mapping
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Municipalities
/ Probability
/ Public Health
/ Quality of life
/ Questionnaires
/ Social aspects
/ Sociodemographics
/ Statistical analysis
/ Statistics
/ Surveys and Questionnaires
/ Unemployed people
/ Unemployment
/ Unemployment - statistics & numerical data
/ Unemployment benefits
/ Vaccine
/ Vulnerability
/ Vulnerable populations
/ Vulnerable Populations - statistics & numerical data
2025
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Patterns of health literacy among vulnerable unemployed citizens: a cross-sectional study in a Danish municipality
by
Øzhayat, Esben Boeskov
, Petersen, Maria Nivi Schmidt
, Middelboe, Carl Johannes
, Tjørnhøj-Thomsen, Tine
, Mortensen, Ole Steen
, Krølner, Rikke Fredenslund
, Ersbøll, Annette Kjær
in
Adult
/ Aged
/ Analysis
/ Biostatistics
/ Challenges
/ Cities
/ Citizens
/ Cross-Sectional Studies
/ Denmark
/ Employment
/ Environmental Health
/ Epidemiology
/ Female
/ Forecasts and trends
/ Health aspects
/ Health care
/ Health care policy
/ Health education
/ Health literacy
/ Health Literacy - statistics & numerical data
/ Health problems
/ Health services
/ Health status
/ Humans
/ Intervention
/ Labor
/ Labor market
/ Latent class analysis
/ Literacy
/ Male
/ Mapping
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Municipalities
/ Probability
/ Public Health
/ Quality of life
/ Questionnaires
/ Social aspects
/ Sociodemographics
/ Statistical analysis
/ Statistics
/ Surveys and Questionnaires
/ Unemployed people
/ Unemployment
/ Unemployment - statistics & numerical data
/ Unemployment benefits
/ Vaccine
/ Vulnerability
/ Vulnerable populations
/ Vulnerable Populations - statistics & numerical data
2025
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Patterns of health literacy among vulnerable unemployed citizens: a cross-sectional study in a Danish municipality
by
Øzhayat, Esben Boeskov
, Petersen, Maria Nivi Schmidt
, Middelboe, Carl Johannes
, Tjørnhøj-Thomsen, Tine
, Mortensen, Ole Steen
, Krølner, Rikke Fredenslund
, Ersbøll, Annette Kjær
in
Adult
/ Aged
/ Analysis
/ Biostatistics
/ Challenges
/ Cities
/ Citizens
/ Cross-Sectional Studies
/ Denmark
/ Employment
/ Environmental Health
/ Epidemiology
/ Female
/ Forecasts and trends
/ Health aspects
/ Health care
/ Health care policy
/ Health education
/ Health literacy
/ Health Literacy - statistics & numerical data
/ Health problems
/ Health services
/ Health status
/ Humans
/ Intervention
/ Labor
/ Labor market
/ Latent class analysis
/ Literacy
/ Male
/ Mapping
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Municipalities
/ Probability
/ Public Health
/ Quality of life
/ Questionnaires
/ Social aspects
/ Sociodemographics
/ Statistical analysis
/ Statistics
/ Surveys and Questionnaires
/ Unemployed people
/ Unemployment
/ Unemployment - statistics & numerical data
/ Unemployment benefits
/ Vaccine
/ Vulnerability
/ Vulnerable populations
/ Vulnerable Populations - statistics & numerical data
2025
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Patterns of health literacy among vulnerable unemployed citizens: a cross-sectional study in a Danish municipality
Journal Article
Patterns of health literacy among vulnerable unemployed citizens: a cross-sectional study in a Danish municipality
2025
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Overview
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.
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