# Exploring the Relationship Between Susceptibility to Health Misinformation and Vaccine Hesitancy in Poland

**Authors:** Mariusz Duplaga, Magdalena Sikorska, Urszula Zwierczyk, Kinga Kowalska-Duplaga

PMC · DOI: 10.3390/healthcare14040497 · Healthcare · 2026-02-14

## TL;DR

The study finds that people in Poland who are more likely to believe health misinformation are also more vaccine hesitant, with trust in scientists and education playing protective roles.

## Contribution

This study identifies susceptibility to health misinformation as a strong predictor of vaccine hesitancy in Poland, surpassing the influence of health literacy.

## Key findings

- Susceptibility to health misinformation and vaccine conspiracy beliefs were significant predictors of vaccine hesitancy.
- Trust in scientists and e-health literacy had protective effects against vaccine hesitancy.
- Higher education levels were associated with lower vaccine hesitancy.

## Abstract

Background/Objectives: Vaccine hesitancy arises from multiple determinants, including individual beliefs, cognitive style, social norms, political identity and the information environment. In this context, health literacy, e-health literacy, susceptibility to health misinformation, conspiracy beliefs and trust in science may be relevant in mediatized societies. Aim: The aim of the study was to examine how susceptibility to health misinformation relates to vaccine hesitancy in Poland and how this association is influenced by health literacy, e-health literacy, trust in scientists and sociodemographic factors. Methods: Data came from a web-based survey conducted in December 2024 among 2200 adults aged 18–75 years. The questionnaire included validated scales of vaccine hesitancy, health literacy, e-health literacy, vaccine conspiracy beliefs and trust in scientists. The susceptibility to health misinformation was measured with ad hoc instrument based on the statement from fact-checking services. Items assessing digital media use, political sympathies, religious practices and sociodemographics were also applied. Multivariable linear regression was applied with continuous vaccine hesitancy as the dependent variable. Results: The model explained 57.8% of the variance in vaccine hesitancy. Susceptibility to misinformation (B = 0.11, 95% CI: 0.08–0.15) and vaccine conspiracy beliefs (B = 0.44, 95% CI: 0.41–0.46) were positive predictors, whereas trust in scientists (B = −0.20, 95% CI: −0.23–−0.17) and e-health literacy (B = −0.07, 95% CI: −0.11–−0.02) were protective. Older age was associated with lower hesitancy (B = −0.02, 95% CI: −0.03–0.00). Secondary education (B = −0.58) and a master’s degree (B = −0.77) predicted lower hesitancy. Health literacy categories were not significantly related to vaccine hesitancy. Conclusions: Susceptibility to health misinformation and vaccine conspiracy beliefs were key predictors of vaccine hesitancy, outweighing the effects of health literacy and the protective impact of trust in scientists and e-health literacy, and indicating a need for interventions that combine prebunking and literacy-focused strategies with efforts to strengthen confidence in health institutions.

## Full-text entities

- **Diseases:** injury to (MESH:D014947), HL (OMIM:603663), autism (MESH:D001321), SHM (MESH:C562694), infertility (MESH:D007246), COVID-19 (MESH:D000086382), cardiovascular diseases (MESH:D002318), VH (MESH:D004673)
- **Chemicals:** VCB (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

95 references — full list in the complete paper: https://tomesphere.com/paper/PMC12941334/full.md

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Source: https://tomesphere.com/paper/PMC12941334