Evidence map›Paper›PMID 34948995›Full record

ArticleInternational journal of environmental research and public health2021

The Role of Health Literacy in COVID-19 Preventive Behaviors and Infection Risk Perception: Evidence from a Population-Based Sample of Essential Frontline Workers during the Lockdown in the Province of Prato (Tuscany, Italy).

Vieri Lastrucci, Chiara Lorini, Marco Del Riccio, Eleonora Gori, Fabrizio Chiesi, Andrea Moscadelli, Beatrice Zanella, Sara Boccalini, Angela Bechini, Francesco Puggelli and 3 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  18. Coronavirus-Related Health Literacy: A Cross-Sectional Study during the COVID-19 Pandemic in Italy.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Vieri LastrucciEpidemiology Unit, Meyer Children's University Hospital, Viale Gaetano Pieraccini 24, 50139 Florence, Italy.
Chiara LoriniDepartment of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.ORCID 0000-0003-3170-1857
Marco Del RiccioMedical Specialization School of Hygiene and Preventive Medicine, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.ORCID 0000-0002-2742-0297
Eleonora GoriMedical Specialization School of Hygiene and Preventive Medicine, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
Fabrizio ChiesiMedical Specialization School of Hygiene and Preventive Medicine, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
Andrea MoscadelliMedical Specialization School of Hygiene and Preventive Medicine, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.
Beatrice ZanellaDepartment of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.ORCID 0000-0001-6718-1932
Sara BoccaliniDepartment of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.ORCID 0000-0002-9695-7549
Angela BechiniDepartment of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.ORCID 0000-0002-6013-8779
Francesco PuggelliManagement Department, Meyer Children's University Hospital, Viale Gaetano Pieraccini 24, 50139 Florence, Italy.
Renzo BertiDepartment of Prevention, Azienda Sanitaria Locale Toscana Centro, Via Lavarone 3/5, 59100 Prato, Italy.
Paolo BonanniDepartment of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.ORCID 0000-0003-2875-3744
Guglielmo BonaccorsiDepartment of Health Sciences, University of Florence, Viale GB Morgagni 48, 50134 Florence, Italy.ORCID 0000-0002-5171-4308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effectiveness of pandemic control measures requires a broad understanding from the population. This study aimed to evaluate the role played by health literacy (HL) in influencing the adherence to COVID-19 preventive measures and risk perception of essential frontline workers during the lockdown period.

methodsA cross-sectional survey was conducted on a population-based sample of frontline workers from Prato Province (Italy). Data on knowledge, attitudes and practices towards COVID-19 preventive measures and risk perception were collected. HL was measured with the HLS-EU-Q6 tool. Multivariate linear regression analyses were performed.

resultsA total of 751 people participated in this study, and 56% of the sample showed a sufficient level of HL. In the multivariate models, HL resulted in being positively correlated with both knowledge (beta 0.32 for sufficient HL, 0.11 for problematic HL) and attitudes (beta 0.33 for sufficient HL, 0.17 for problematic HL) towards the importance of COVID-19 preventive measures. The HL level was not associated with the adoption of preventive behaviors and COVID-19 risk perception.

conclusionsHL may play a key role in maintaining a high adherence to infection prevention behaviors and may be a factor to take into account in the implementation of public health interventions in pandemic times.

Indexed as

COVID-19Health LiteracyCommunicable Disease ControlCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHumansPerceptionSARS-CoV-2Surveys and Questionnairesattitudes and practicesCOVID-19essential frontline workershealth literacyinfection controlinfection prevention behaviorsknowledgepopulation-basedpreventive measuresrisk perception

Identifiers

PMID34948995
PMCPMC8702135

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.