Evidence map›Paper›PMID 37998696›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Predictors of Vaccination Intentions and Behaviour during the COVID-19 Pandemic in Italy.

Amanda Nerini, Mirko Duradoni, Camilla Matera, Andrea Guazzini, Monica Paradisi, Adriele Schembri

Open access · goldAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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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

6 authors at 1 institution in 1 country.

Amanda NeriniDepartment of Education, Languages, Intercultures, Literatures and Psychology, University of Florence, 50135 Florence, Italy.
Mirko DuradoniDepartment of Education, Languages, Intercultures, Literatures and Psychology, University of Florence, 50135 Florence, Italy.ORCID 0000-0001-8272-9484
Camilla MateraDepartment of Education, Languages, Intercultures, Literatures and Psychology, University of Florence, 50135 Florence, Italy.ORCID 0000-0002-1791-4074
Andrea GuazziniDepartment of Education, Languages, Intercultures, Literatures and Psychology, University of Florence, 50135 Florence, Italy.ORCID 0000-0002-0203-4461
Monica ParadisiDepartment of Education, Languages, Intercultures, Literatures and Psychology, University of Florence, 50135 Florence, Italy.
Adriele SchembriSchool of Psychology, University of Florence, 50135 Florence, Italy.
University of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present research aimed at understanding individuals' vaccination intentions and protective behaviours against COVID-19 through two different studies. In Study 1 (N = 213, 73% women; mean age = 24.03) the Protection Motivation Theory model was tested considering the fear of COVID-19 as a possible mediator between threat appraisal (in terms of both health and social life) and intentions to get vaccinated when the vaccination was not yet available. Study 2 (N = 1111, 68.9% women; mean age = 38.33) was conducted when the vaccine became available for the entire population. Through this study, by adopting the 5C model of vaccine hesitancy as a theoretical framework, we aimed to understand how people who got vaccinated and the ones who did not differed, considering fear of vaccination, personality and vaccination hesitancy. In Study 1, social limitations, perceived severity and COVID-19 perceived vulnerability were significantly and positively related to fear of COVID-19. Contrary to what we expected, fear of COVID-19 was not a significant predictor of vaccination intention, which was predicted by both response efficacy and self-efficacy. In Study 2, in line with previous studies, vaccine hesitancy was negatively related to vaccination. More specifically, the social-oriented dimension of collective responsibility was the strongest predictor of effective behaviour. Our findings provide insights into the complexity of vaccine acceptance and emphasise the need for targeted interventions to promote vaccination and mitigate the spread of infectious diseases.

Indexed as

COVID-19 vaccinationfearhealth behaviourpredictionprotection motivation theorypsychologyvaccination hesitancy

Identifiers

PMID37998696
PMCPMC10669074
OpenAlexW4388832831

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.