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Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis

INTRODUCTION: The knowledge of COVID-19 and the recommended preventive measures for controlling the disease have been widely studied in the general population, but little is known about whether the University workers as educators and transmitters of knowledge have appropriate knowledge and take prev...

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Autores principales: Dueñas, María, De Sola, Helena, Salazar, Alejandro, Palomo-Osuna, Jenifer, Moral-Munoz, Jose Antonio, Failde, Inmaculada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier España, S.L.U. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613793/
http://dx.doi.org/10.1016/j.edumed.2022.100764
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author Dueñas, María
De Sola, Helena
Salazar, Alejandro
Palomo-Osuna, Jenifer
Moral-Munoz, Jose Antonio
Failde, Inmaculada
author_facet Dueñas, María
De Sola, Helena
Salazar, Alejandro
Palomo-Osuna, Jenifer
Moral-Munoz, Jose Antonio
Failde, Inmaculada
author_sort Dueñas, María
collection PubMed
description INTRODUCTION: The knowledge of COVID-19 and the recommended preventive measures for controlling the disease have been widely studied in the general population, but little is known about whether the University workers as educators and transmitters of knowledge have appropriate knowledge and take preventive measures for COVID-19. This study aims to analyze the knowledge of COVID-19 and the recommended preventive measures in university workers, to identify groups according to the preventive practices they adopt, and to analyze the factors associated with these practices. MATERIAL AND METHODS: A cross-sectional study was conducted on 677 university workers in the University of Cádiz, Spain. A questionnaire with sociodemographic variables, housing, health conditions, knowledge of COVID-19 and preventive measures were administered. The information was collected between 8th and 22nd April, 2020. A cluster analysis was performed to identify subgroups depending on the preventive measures. Associated factors were tested with binary logistic regression. RESULTS: Two groups were identified. Group 1 included 513 subjects who took preventive measures most frequently (means 2.59-4.83). Group 2 included 164 subjects who took preventive measures less frequently (means 1.59-4.22). Men (OR = 1.39), the Teaching and research personnel (OR = 1.49) and individuals with a chronic illness (OR = 1.60) were more likely to belong to the group 2. Those with more knowledge about isolation prevention (OR = 0.167) and early treatment (OR = 0.665) were more likely to belong to group 1. CONCLUSION: In order to reduce the transmission of the disease, it is necessary to promote the knowledge and use of preventive measures among the group of individuals identified as less engaged in preventive measures.
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spelling pubmed-96137932022-10-28 Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis Dueñas, María De Sola, Helena Salazar, Alejandro Palomo-Osuna, Jenifer Moral-Munoz, Jose Antonio Failde, Inmaculada Educacio´n Me´dica Original INTRODUCTION: The knowledge of COVID-19 and the recommended preventive measures for controlling the disease have been widely studied in the general population, but little is known about whether the University workers as educators and transmitters of knowledge have appropriate knowledge and take preventive measures for COVID-19. This study aims to analyze the knowledge of COVID-19 and the recommended preventive measures in university workers, to identify groups according to the preventive practices they adopt, and to analyze the factors associated with these practices. MATERIAL AND METHODS: A cross-sectional study was conducted on 677 university workers in the University of Cádiz, Spain. A questionnaire with sociodemographic variables, housing, health conditions, knowledge of COVID-19 and preventive measures were administered. The information was collected between 8th and 22nd April, 2020. A cluster analysis was performed to identify subgroups depending on the preventive measures. Associated factors were tested with binary logistic regression. RESULTS: Two groups were identified. Group 1 included 513 subjects who took preventive measures most frequently (means 2.59-4.83). Group 2 included 164 subjects who took preventive measures less frequently (means 1.59-4.22). Men (OR = 1.39), the Teaching and research personnel (OR = 1.49) and individuals with a chronic illness (OR = 1.60) were more likely to belong to the group 2. Those with more knowledge about isolation prevention (OR = 0.167) and early treatment (OR = 0.665) were more likely to belong to group 1. CONCLUSION: In order to reduce the transmission of the disease, it is necessary to promote the knowledge and use of preventive measures among the group of individuals identified as less engaged in preventive measures. The Author(s). Published by Elsevier España, S.L.U. 2022 2022-10-28 /pmc/articles/PMC9613793/ http://dx.doi.org/10.1016/j.edumed.2022.100764 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original
Dueñas, María
De Sola, Helena
Salazar, Alejandro
Palomo-Osuna, Jenifer
Moral-Munoz, Jose Antonio
Failde, Inmaculada
Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis
title Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis
title_full Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis
title_fullStr Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis
title_full_unstemmed Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis
title_short Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis
title_sort knowledge of covid-19 and prevention measures among university workers. identification of subgroups through cluster analysis
topic Original
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613793/
http://dx.doi.org/10.1016/j.edumed.2022.100764
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