Cargando…

College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data

This two-wave longitudinal study (performed pre-COVID), using both quantitative and qualitative data, investigated college students’ influenza vaccine hesitancy and confidence using the theory of planned behavior (TPB). At Time 1, college students (n = 277) completed TPB measures and reported past i...

Descripción completa

Detalles Bibliográficos
Autores principales: Mongeau, Paul A., Liu, Yanqin, Hashi, Emi C., Roberto, Anthony J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005020/
https://www.ncbi.nlm.nih.gov/pubmed/35415775
http://dx.doi.org/10.1007/s10865-022-00310-9
_version_ 1784686377340764160
author Mongeau, Paul A.
Liu, Yanqin
Hashi, Emi C.
Roberto, Anthony J.
author_facet Mongeau, Paul A.
Liu, Yanqin
Hashi, Emi C.
Roberto, Anthony J.
author_sort Mongeau, Paul A.
collection PubMed
description This two-wave longitudinal study (performed pre-COVID), using both quantitative and qualitative data, investigated college students’ influenza vaccine hesitancy and confidence using the theory of planned behavior (TPB). At Time 1, college students (n = 277) completed TPB measures and reported past influenza vaccine behavior. At Time 2 (30 days later), participants indicated whether they received the influenza vaccine since Time 1. At Time 2, participants who indicated that they had not received the influenza vaccine since Time 1 also described their most important reasons for not doing so. The TPB model fit the quantitative data well; direct paths from attitude and norms to intention, and from intention to future behavior, were strong and significant. The TPB model explained 71% of the variance in intention and 28% of the variance in future behavior. Neither perceived behavioral control nor past behavior improved the model’s ability to predict intentions or future behavior. From the qualitative data, participants’ reasons for not getting vaccinated focused on perceived behavioral control (e.g., time cost) and attitudes (e.g., unimportance and low susceptibility). Theoretical implications for message development are discussed.
format Online
Article
Text
id pubmed-9005020
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-90050202022-04-13 College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data Mongeau, Paul A. Liu, Yanqin Hashi, Emi C. Roberto, Anthony J. J Behav Med Article This two-wave longitudinal study (performed pre-COVID), using both quantitative and qualitative data, investigated college students’ influenza vaccine hesitancy and confidence using the theory of planned behavior (TPB). At Time 1, college students (n = 277) completed TPB measures and reported past influenza vaccine behavior. At Time 2 (30 days later), participants indicated whether they received the influenza vaccine since Time 1. At Time 2, participants who indicated that they had not received the influenza vaccine since Time 1 also described their most important reasons for not doing so. The TPB model fit the quantitative data well; direct paths from attitude and norms to intention, and from intention to future behavior, were strong and significant. The TPB model explained 71% of the variance in intention and 28% of the variance in future behavior. Neither perceived behavioral control nor past behavior improved the model’s ability to predict intentions or future behavior. From the qualitative data, participants’ reasons for not getting vaccinated focused on perceived behavioral control (e.g., time cost) and attitudes (e.g., unimportance and low susceptibility). Theoretical implications for message development are discussed. Springer US 2022-04-12 2023 /pmc/articles/PMC9005020/ /pubmed/35415775 http://dx.doi.org/10.1007/s10865-022-00310-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Mongeau, Paul A.
Liu, Yanqin
Hashi, Emi C.
Roberto, Anthony J.
College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data
title College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data
title_full College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data
title_fullStr College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data
title_full_unstemmed College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data
title_short College students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data
title_sort college students’ influenza vaccine hesitation: a reasoned action investigation with quantitative and qualitative data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005020/
https://www.ncbi.nlm.nih.gov/pubmed/35415775
http://dx.doi.org/10.1007/s10865-022-00310-9
work_keys_str_mv AT mongeaupaula collegestudentsinfluenzavaccinehesitationareasonedactioninvestigationwithquantitativeandqualitativedata
AT liuyanqin collegestudentsinfluenzavaccinehesitationareasonedactioninvestigationwithquantitativeandqualitativedata
AT hashiemic collegestudentsinfluenzavaccinehesitationareasonedactioninvestigationwithquantitativeandqualitativedata
AT robertoanthonyj collegestudentsinfluenzavaccinehesitationareasonedactioninvestigationwithquantitativeandqualitativedata