The Impact of COVID-19 Vaccination in Changing the Adherence to Preventive Measures: Evidence from Italy
Abstract
1. Introduction
2. Materials and Methods
2.1. Setting and Study Population
2.2. Procedures
2.3. Data Collection
2.4. Statistical Analysis
3. Results
3.1. Characteristics of the Respondents
3.2. Attitude towards COVID-19
3.3. Sources of Information
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- WHO Coronavirus (COVID-19) Dashboard. Available online: https://covid19.who.int/ (accessed on 17 February 2022).
- Italian Ministry of Health. Decreto-Legge 25 Marzo 2020, n. 19. Misure Urgenti per Fronteggiare L’emergenza Epidemiologica da COVID-19. (G.U. Serie Generale, n. 79 del 25 marzo 2020). Available online: https://www.gazzettaufficiale.it/eli/id/2020/03/25/20G00035/sg (accessed on 17 February 2022).
- Italian Ministry of Health. Circolare Ministeriale n. 0042164-24/12/2020. Raccomandazioni per L’organizzazione della Campagna Vaccinale Contro SARS-CoV-2/COVID-19 e Procedure di Vaccinazione. Available online: https://www.trovanorme.salute.gov.it/norme/renderNormsanPdf?anno=2020&codLeg=77981&parte=1%20&serie=null (accessed on 17 February 2022).
- Italian Ministry of Health. Report Vaccini Anti COVID-19. Available online: https://www.governo.it/it/cscovid19/report-vaccini/ (accessed on 17 February 2022).
- Italian Ministry of Health. Circolare Ministeriale n. 0059207-24/12/2021. Aggiornamento delle Indicazioni Sull’intervallo Temporale Relativo alla Somministrazione della Dose “booster” (di Richiamo) Nell’ambito della Campagna di Vaccinazione Anti SARS-CoV-2/COVID-19. Available online: https://www.trovanorme.salute.gov.it/norme/renderNormsanPdf?anno=2021&codLeg=84679&parte=1%20&serie=null (accessed on 17 February 2022).
- Zhang, N.; Liu, X.; Jin, T.; Zhao, P.; Miao, D.; Lei, H.; Su, B.; Xue, P.; Xie, J.; Li, Y. Weakening personal protective behavior by Chinese university students after COVID-19 vaccination. Build. Environ. 2021, 206, 108367. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhang, N.; Lei, H.; Li, L.; Jin, T.; Liu, X.; Miao, D.; Su, B.; Bu, Z.; Fan, L.; Xue, P.; et al. COVID-19 Vaccination did not change the personal protective behaviors of healthcare workers in China. Front. Public Health 2021, 9, 777426. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hossain, M.E.; Islam, M.S.; Rana, M.J.; Amin, M.R.; Rokonuzzaman, M.; Chakrobortty, S.; Saha, S.M. Scaling the changes in lifestyle, attitude, and behavioral patterns among COVID-19 vaccinated people: Insights from Bangladesh. Hum. Vaccin. Immunother. 2022, 18, 1–9. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wright, L.; Steptoe, A.; Mak, H.W.; Fancourt, D. Do people reduce compliance with COVID-19 guidelines following vaccination? A longitudinal analysis of matched UK adults. J. Epidemiol. Community Health 2022, 76, 109–115. [Google Scholar] [CrossRef] [Scilit]
- Di Giuseppe, G.; Pelullo, C.P.; Della Polla, G.; Pavia, M.; Angelillo, I.F. Exploring the willingness to accept SARS-CoV-2 vaccine in a University population in Southern Italy, September to November 2020. Vaccines 2021, 9, 275. [Google Scholar] [CrossRef] [Scilit]
- Della Polla, G.; Licata, F.; Angelillo, S.; Pelullo, C.P.; Bianco, A.; Angelillo, I.F. Characteristics of healthcare workers vaccinated against influenza in the era of COVID-19. Vaccines 2021, 9, 695. [Google Scholar] [CrossRef] [Scilit]
- Di Giuseppe, G.; Pelullo, C.P.; Della Polla, G.; Montemurro, M.V.; Napolitano, F.; Pavia, M.; Angelillo, I.F. Surveying willingness toward SARS-CoV-2 vaccination of healthcare workers in Italy. Expert. Rev. Vaccines 2021, 20, 881–889. [Google Scholar] [CrossRef] [Scilit]
- Della Polla, G.; Pelullo, C.P.; Di Giuseppe, G.; Angelillo, I.F. Changes in behaviors and attitudes in response to COVID-19 pandemic and vaccination in healthcare workers and university students in Italy. Vaccines 2021, 9, 1276. [Google Scholar] [CrossRef] [Scilit]
- StataCorporation. Stata Reference Manual Release 15.1; Stata Corporation: College Station, TX, USA, 2017. [Google Scholar]
- Si, R.; Yao, Y.; Zhang, X.; Lu, Q.; Aziz, N. Investigating the links between vaccination against COVID-19 and public attitudes toward protective countermeasures: Implications for public health. Public Health Front. 2021, 9, 702699. [Google Scholar] [CrossRef] [Scilit]
- Grano, C.; Singh Solorzano, C.; Di Pucchio, A. Predictors of protective behaviours during the Italian COVID-19 pandemic: An application of protection motivation theory. Psychol. Health 2022, 1–21, preprint. [Google Scholar]
- Folcarelli, L.; Miraglia del Giudice, G.; Corea, F.; Angelillo, I.F. Intention to receive the COVID-19 vaccine booster dose in a university community in Italy. Vaccines 2022, 10, 146. [Google Scholar] [CrossRef] [Scilit]
- Della Polla, G.; Pelullo, C.P.; Napolitano, F.; Angelillo, I.F. HPV vaccine hesitancy among parents in Italy: A cross-sectional study. Hum. Vaccin. Immunother. 2020, 16, 2744–2751. [Google Scholar]
- Marinos, G.; Lamprinos, D.; Georgakopoulos, P.; Patoulis, G.; Vogiatzi, G.; Damaskos, C.; Papaioannou, A.; Sofroni, A.; Pouletidis, T.; Papagiannis, D.; et al. Reported COVID-19 vaccination coverage and associated factors among members of athens medical association: Results from a cross-sectional study. Vaccines 2021, 9, 1134. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Napolitano, F.; Pelullo, C.P.; Della Polla, G.; Angelillo, I.F. HPV vaccination attitudes and behaviors among general practitioners in Italy. Vaccines 2021, 9, 63. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ghaddar, A.; Khandaqji, S.; Awad, Z.; Kansoun, R. Conspiracy beliefs and vaccination intent for COVID-19 in an infodemic. PLoS ONE 2022, 17, e0261559. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bell, S.; Clarke, R.; Mounier-Jack, S.; Walker, J.L.; Paterson, P. Parents’ and guardians’ views on the acceptability of a future COVID-19 vaccine: A multi-methods study in England. Vaccine 2020, 38, 7789–7798. [Google Scholar] [CrossRef] [Scilit]
- Goldman, R.D.; Yan, T.D.; Seiler, M.; Parra Cotanda, C.; Brown, J.C.; Klein, E.J.; Hoeffe, J.; Gelernter, R.; Hall, J.E.; Davis, A.L.; et al. Caregiver willingness to vaccinate their children against COVID-19: Cross sectional survey. Vaccine 2020, 38, 7668–7673. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Luk, T.T.; Zhao, S.; Wu, Y.; Wong, J.Y.; Wang, M.P.; Lam, T.H. Prevalence and determinants of SARS-CoV-2 vaccine hesitancy in Hong Kong: A population-based survey. Vaccine 2021, 39, 3602–3607. [Google Scholar] [CrossRef] [Scilit]
- SolísArce, J.S.; Warren, S.S.; Meriggi, N.F.; Scacco, A.; McMurry, N.; Voors, M.; Syunyaev, G.; Malik, A.A.; Aboutajdine, S.; Adeojo, O.; et al. COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries. Nat. Med. 2021, 27, 1385–1394. [Google Scholar] [CrossRef] [Scilit]
- Broche-Pérez, Y.; Fernández-Fleites, Z.; Jiménez-Puig, E.; Fernández-Castillo, E.; Rodríguez-Martin, B.C. Gender and fear of COVID-19 in a cuban population sample. Int. J. Ment. Health Addict. 2020, 20, 83–91, Erratum in: Int. J. Ment. Health Addict. 2020, 1, preprint. [Google Scholar] [CrossRef]
- Galasso, V.; Pons, V.; Profeta, P.; Becher, M.; Brouard, S.; Foucault, M. Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries. Proc. Natl. Acad. Sci. USA 2020, 117, 27285–27291. [Google Scholar] [CrossRef] [Scilit]
- Al-Rahimi, J.S.; Nass, N.M.; Hassoubah, S.A.; Wazqarm, D.Y.; Alamoudi, S.A. Levels and predictors of fear and health anxiety during the current outbreak of COVID-19 in immunocompromised and chronic disease patients in Saudi Arabia: A cross-sectional correlational study. PLoS ONE 2021, 16, e0250554. [Google Scholar] [CrossRef] [Scilit]
- Carballo, J.L.; Coloma-Carmona, A.; Arteseros-Bañón, S.; Pérez-Jover, V. The moderating role of caregiving on fear of COVID-19 and post-traumatic stress symptoms. Int. J. Environ. Res. Public Health 2021, 18, 6125. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kassim, M.A.M.; Pang, N.T.P.; Mohamed, N.H.; Kamu, A.; Ho, C.M.; Ayu, F.; Rahim, S.S.S.A.; Omar, A.; Jeffree, M.S. Relationship between fear of COVID-19, psychopathology and sociodemographic variables in malaysian population. Int. J. Ment. Health Addict. 2021; pp. 1–8, preprint.
- Sit, S.M.; Lam, T.H.; Lai, A.Y.; Wong, B.Y.; Wang, M.P.; Ho, S.Y. Fear of COVID-19 and its associations with perceived personal and family benefits and harms in Hong Kong. Transl. Behav. Med. 2021, 11, 793–801. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Reiter, P.L.; Pennell, M.L.; Katz, M.L. Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated? Vaccine 2020, 38, 6500–6507. [Google Scholar] [CrossRef] [Scilit]
- Bowman, L.; Kwok, K.O.; Red, R.; Yi, Y.; Ward, H.; Wei, W.I.; Atchinson, C.; Wong, S.Y. Comparing public perceptions and preventive behaviors during the early phase of the COVID-19 pandemic in Hong Kong and the United Kingdom: Cross-sectional survey study. J. Med. Internet Res. 2021, 23, e23231. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wong, M.C.S.; Wong, E.L.Y.; Huang, J.; Cheung, A.W.L.; Law, K.; Chong, M.K.C.; Ng, R.W.Y.; Lai, C.K.C.; Boon, S.S.; Lau, J.T.F.; et al. Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kong. Vaccine 2021, 39, 1148–1156. [Google Scholar] [CrossRef] [Scilit] [PubMed]
| Characteristics | N | % |
|---|---|---|
| Age, years | 32.9 ± 12.5 (20–88) * | |
| Gender | ||
| Female | 476 | 60.4 |
| Male | 312 | 39.6 |
| Marital status | ||
| Unmarried/separated/divorced/widowed | 606 | 76.2 |
| Married/cohabited with a partner | 189 | 23.8 |
| Educational level | ||
| High school degree or less | 507 | 63.8 |
| Baccalaureate/graduate degree | 288 | 36.2 |
| Number of children in home | ||
| 0 | 653 | 82.1 |
| ≥1 | 142 | 17.9 |
| Number of cohabitants | ||
| 0 | 49 | 6.2 |
| 1–3 | 548 | 68.9 |
| >3 | 198 | 24.9 |
| Role | ||
| Student | 468 | 58.9 |
| Healthcare worker | 181 | 22.8 |
| Other | 145 | 18.3 |
| Having at least a chronic medical condition | ||
| No | 709 | 89.2 |
| Yes | 86 | 10.8 |
| Having been infected by SARS-CoV-2 | ||
| No | 756 | 95.1 |
| Yes | 39 | 4.9 |
| Having friends or family members who were diagnosed with COVID-19 | ||
| No | 105 | 13.2 |
| Yes | 690 | 86.8 |
| Self-rated global health status | 8.6 ± 1.2 (2–10) * | |
| Self-rated global health status after the first dose of the COVID-19 vaccination | 8.2 ± 1.5 (2–10) * | |
| Self-rated global health status after the second dose of the COVID-19 vaccination | 7.8 ± 1.8 (1–10) * | |
| Variable | Coeff. | t | p |
|---|---|---|---|
| Model 1. Concern of contracting COVID-19 after the booster dose F (12,769) = 8.51, p < 0.0001, R2 = 11.7%, Adjusted R2 = 10.3% | |||
| Perception of COVID-19 as a very serious health problem | 0.26 | 5.05 | <0.001 |
| Females | 0.48 | 2.89 | 0.004 |
| Interest in acquiring more information regarding the booster dose Having decided to receive the booster dose because they perceived to be at risk of getting COVID-19 | 0.44 | 2.50 | 0.013 |
| 0.50 | 2.31 | 0.021 | |
| Lower mean self-perceived health status | −0.13 | −1.96 | 0.05 |
| Having been infected with SARS-CoV-2 | 0.60 | 1.67 | 0.095 |
| Married/Cohabitating | 0.38 | 1.55 | 0.12 |
| Healthcare workers | 0.30 | 1.54 | 0.13 |
| Not having had friends or family members who were diagnosed with COVID-19 | −0.35 | −1.49 | 0.14 |
| Not having received information on booster dose against COVID-19 from official government organizations and scientific journals | −0.22 | −1.19 | 0.23 |
| Older | 0.01 | 1.09 | 0.28 |
| Having at least a chronic medical condition | 0.26 | 1.02 | 0.31 |
| Model 2. Perception that COVID-19 is a very serious health problem F (7,777) = 11.14, p < 0.0001, R2 = 9.1%, adjusted R2 = 8.3% | |||
| Females | 0.74 | 6.55 | <0.001 |
| Married/Cohabitating | 0.59 | 4.36 | <0.001 |
| Higher mean self-perceived health status | 0.13 | 2.83 | 0.005 |
| Having received information on booster dose against COVID-19 from official government organizations and scientific journals | 0.27 | 2.12 | 0.034 |
| Having had friends or family members who were diagnosed with COVID-19 | 0.32 | 1.92 | 0.055 |
| Healthcare workers | 0.24 | 1.82 | 0.07 |
| Interest in acquiring more information regarding the booster dose against COVID-19 | 0.18 | 1.47 | 0.14 |
| Habits | Behavior before the Vaccination | Behavior after Completing the Vaccination Course | Willingness after Receiving the Booster Dose | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| Hand washing | 743 | 93.5 | 757 | 95.3 | 730 | 92.3 |
| Maintain physical distancing | 716 | 90.1 | 649 | 81.6 | 590 | 74.7 |
| Wearing a mask | 709 | 89.2 | 777 | 97.7 | 748 | 94.3 |
| Doing physical activity outdoors | 516 | 65.8 | 593 | 75.7 | 567 | 72.2 |
| Eating at a restaurant | 309 | 39.1 | 697 | 88.5 | 697 | 88.2 |
| Using public transport | 270 | 34.2 | 552 | 70 | 563 | 71.1 |
| Attending indoor public places | 214 | 27.2 | 521 | 66.4 | 499 | 63.4 |
| Greeting with a handshake | 159 | 20.1 | 292 | 37 | 298 | 37.6 |
| Attending indoor and outdoor crowded places | 140 | 17.6 | 315 | 39.8 | 310 | 39.3 |
| Model 3. Adherence to the Three Main COVID-19 Public Health Measures (Wearing a Mask, Hand Washing, Physical Distancing) | ||||||
|---|---|---|---|---|---|---|
| Variable | Use before Receiving the First Dose and Following the Second Dose | Use Irregularly | ||||
| RRR | 95% CI | p | RRR | 95% CI | p | |
| Perception of COVID-19 as a very serious health problem | 0.86 | 0.74–0.99 | 0.044 | 0.91 | 0.82–1.01 | 0.07 |
| Having received information on booster dose against COVID-19 from official government organizations and scientific journals | 0.59 | 0.34–1.03 | 0.07 | 0.55 | 0.39–0.78 | 0.001 |
| Healthcare workers | 1.71 | 0.83–3.52 | 0.14 | 1.25 | 0.78–2.01 | 0.35 |
| Baccalaureate/graduate degree | 0.91 | 0.47–1.77 | 0.78 | 0.70 | 0.46–1.05 | 0.09 |
| Interest in acquiring more information regarding the booster dose | 1.08 | 0.61–1.92 | 0.79 | 1.38 | 0.99–1.93 | 0.06 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Corea, F.; Folcarelli, L.; Napoli, A.; del Giudice, G.M.; Angelillo, I.F. The Impact of COVID-19 Vaccination in Changing the Adherence to Preventive Measures: Evidence from Italy. Vaccines 2022, 10, 777. https://doi.org/10.3390/vaccines10050777
Corea F, Folcarelli L, Napoli A, del Giudice GM, Angelillo IF. The Impact of COVID-19 Vaccination in Changing the Adherence to Preventive Measures: Evidence from Italy. Vaccines. 2022; 10(5):777. https://doi.org/10.3390/vaccines10050777
Chicago/Turabian StyleCorea, Francesco, Lucio Folcarelli, Annalisa Napoli, Grazia Miraglia del Giudice, and Italo Francesco Angelillo. 2022. "The Impact of COVID-19 Vaccination in Changing the Adherence to Preventive Measures: Evidence from Italy" Vaccines 10, no. 5: 777. https://doi.org/10.3390/vaccines10050777
APA StyleCorea, F., Folcarelli, L., Napoli, A., del Giudice, G. M., & Angelillo, I. F. (2022). The Impact of COVID-19 Vaccination in Changing the Adherence to Preventive Measures: Evidence from Italy. Vaccines, 10(5), 777. https://doi.org/10.3390/vaccines10050777

