Evidence map›Paper›PMID 40993630›Full record

ArticleBMC public health2025

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

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

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maria Nivi Schmidt PetersenNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, Copenhagen K, 1455, Denmark.
Carl Johannes MiddelboeNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, Copenhagen K, 1455, Denmark.
Ole Steen MortensenSection of Social Medicine, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Copenhagen K, 1353, Denmark.
Rikke Fredenslund KrølnerNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, Copenhagen K, 1455, Denmark.
Tine Tjørnhøj-ThomsenNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, Copenhagen K, 1455, Denmark.
Annette Kjær ErsbøllNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, Copenhagen K, 1455, Denmark.
Esben Boeskov ØzhayatDepartment of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Nørre Alle 20, Copenhagen N, 2200, Denmark. eboz@sund.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor 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.

methodsThe 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.

resultsA 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.

conclusionsBased 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.

Indexed as

Health LiteracyUnemploymentVulnerable PopulationsAdultAgedCross-Sectional StudiesDenmarkFemaleHumansMaleMiddle AgedSurveys and QuestionnairesHealth literacyLatent class analysisSurveys and questionnairesUnemploymentVulnerable populations

Identifiers

PMID40993630
PMCPMC12461987

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.