Evidence map›Paper›PMID 40563120›Full record

ArticleBMC public health2025

Pathways linking health literacy to diabetes risk scores in a non-diabetic population in Ismailia, Egypt: a cross sectional study design.

Mirella Youssef Tawfik, Rehab A Mohamed, Noha M Abu Bakr Elsaid

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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

3 authors.

Mirella Youssef TawfikDepartment of Public Health, Occupational and Environmental Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt. mirella.tawfik@med.suez.edu.eg.ORCID http://orcid.org/0000-0002-0048-6931
Rehab A MohamedDepartment of Family Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.ORCID http://orcid.org/0000-0001-5575-0237
Noha M Abu Bakr ElsaidDepartment of Public Health, Occupational and Environmental Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.ORCID http://orcid.org/0000-0001-6306-3242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a growing public health issue in Egypt. Health literacy (HL) is a modifiable factor influencing diabetes risk (DR), but the pathways through which HL impacts diabetes risk remain unclear. This study aimed to examine the direct and indirect pathways linking HL to DR in a non-diabetic population.

methodsA cross-sectional study was conducted from July 2022 to August 2023 among employees in the administrative sectors of 16 faculties at Suez Canal University, Ismailia, Egypt. Each faculty was treated as a cluster for sampling. Eligible participants were those without a diagnosis of T2DM. Exclusion criteria included use of antidiabetic medications, cancer diagnosis, long-term corticosteroid or immunosuppressant use, or pregnancy. Sample size from each sector was determined proportionally based on the number of eligible employees, and participants were randomly selected from a coded list. Data were collected via structured face-to-face interviews using validated tools to assess HL, self-efficacy (SE), diabetes knowledge (DK), preventive health behaviors (PHB), and DR, measured by the ARABRISK score. Statistical analyses included Spearman correlations, non-parametric tests, and Structural Equation Modeling (SEM) via SAS PROC CALIS to assess direct and indirect pathways from HL to DR, controlling for significant covariates.

resultsOf the participants, 59.4% had inadequate/problematic HL, and 54.8% had moderate-to-high DR. HL was positively correlated with DK (r = 0.275), SE (r = 0.379), and PHB (r = 0.514) and negatively correlated with DR (r=-0.542), all with p-values < 0.001. The strongest negative correlation was between PHB and DR (r=-0.957). SEM revealed a weak but significant direct effect of HL on DR (β= - 0.05108, p < 0.001). The most substantial indirect effect was observed through PHB (β= - 0.93663, p < 0.001). Additional indirect pathways through DK and SE also emerged, although SE had no significant effect on PHB.

conclusionsHL reduces DR primarily through its effect on PHB. While DK and SE contribute, their effects are less pronounced. Interventions that enhance HL and support healthy behaviors may help prevent T2DM in at-risk populations. Future research should use longitudinal designs, diabetes-specific HL tools, objective risk measures; explore psychosocial mediators; and study diverse populations.

Indexed as

Diabetes Mellitus, Type 2Health Knowledge, Attitudes, PracticeHealth LiteracyAdultCross-Sectional StudiesEgyptFemaleHealth BehaviorHumansMaleMiddle AgedRisk AssessmentRisk FactorsSelf EfficacyARABRISKHealth literacyPath analysisPreventive health behaviorSelf-EfficacyType 2 diabetes mellitus

Identifiers

PMID40563120
PMCPMC12188667

What Socratic holds

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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 Socratic graph.