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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Educación Médica |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1575181322000560 |
| _version_ | 1811294118306906112 |
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| author | María Dueñas Helena De Sola Alejandro Salazar Jenifer Palomo-Osuna Jose Antonio Moral-Munoz Inmaculada Failde |
| author_facet | María Dueñas Helena De Sola Alejandro Salazar Jenifer Palomo-Osuna Jose Antonio Moral-Munoz Inmaculada Failde |
| author_sort | María Dueñas |
| collection | DOAJ |
| 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. Resumen: Introducción: El COVID-19 y las medidas preventivas recomendadas para su control han sido ampliamente estudiados en la población en general. Sin embargo, poco se sabe sobre si los trabajadores universitarios como educadores y transmisores de conocimiento tienen los conocimientos adecuados y toman las medidas preventivas adecuadas. Este estudio tiene como objetivo analizar el conocimiento sobre el COVID-19 y las medidas preventivas recomendadas en trabajadores universitarios, así como, identificar grupos según las prácticas preventivas que adopten y analizar los factores asociados a estas prácticas. Material y métodos: Se realizó un estudio transversal en 677 trabajadores universitarios de la Universidad de Cádiz, España. Se administró un cuestionario (del 8 al 22 de abril) que recogía variables sociodemográficas, sobre su vivienda, condiciones de salud, conocimiento del COVID-19 y medidas preventivas. Se realizó un análisis de conglomerados para identificar subgrupos en función de las medidas preventivas. Los factores asociados se probaron con regresión logística binaria. Resultados: Se identificaron dos grupos. El grupo 1 incluyó a 513 sujetos que tomaban medidas preventivas con mayor frecuencia (medias 2,59-4,83). El grupo 2 incluyó a 164 sujetos que tomaron medidas preventivas con menor frecuencia (medias 1,59-4,22). Los hombres (OR=1,39), el Personal Docente e Investigador (OR=1,49) y las personas con alguna enfermedad crónica (OR=1,60) tenían mayor probabilidad de pertenecer al grupo 2. Los que tenían más conocimientos sobre prevención del aislamiento (OR=0,167) y el tratamiento temprano (OR=0,665) tenían más probabilidades de pertenecer al grupo 1. Conclusión: Para reducir la transmisión de la enfermedad es necesario promover el conocimiento y uso de medidas preventivas entre el grupo de individuos identificados como menos comprometidos con las medidas preventivas. |
| first_indexed | 2024-04-13T05:11:52Z |
| format | Article |
| id | doaj.art-48043b77906f4a69908d31672ef5f978 |
| institution | Directory Open Access Journal |
| issn | 1575-1813 |
| language | English |
| last_indexed | 2024-04-13T05:11:52Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Educación Médica |
| spelling | doaj.art-48043b77906f4a69908d31672ef5f9782022-12-22T03:01:00ZengElsevierEducación Médica1575-18132022-09-01235100764Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysisMaría Dueñas0Helena De Sola1Alejandro Salazar2Jenifer Palomo-Osuna3Jose Antonio Moral-Munoz4Inmaculada Failde5The Observatory of Pain, University of Cádiz, 11009 Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA), Research Unit, Puerta del Mar University Hospital, University of Cadiz, 11009 Cádiz, Spain; Department of Statistics and Operational Research, University of Cádiz, 11510 Puerto Real, SpainThe Observatory of Pain, University of Cádiz, 11009 Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA), Research Unit, Puerta del Mar University Hospital, University of Cadiz, 11009 Cádiz, Spain; Preventive Medicine and Public Health Area, University of Cádiz, 11009 Cádiz, Spain; Corresponding Author.The Observatory of Pain, University of Cádiz, 11009 Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA), Research Unit, Puerta del Mar University Hospital, University of Cadiz, 11009 Cádiz, Spain; Department of Statistics and Operational Research, University of Cádiz, 11510 Puerto Real, SpainThe Observatory of Pain, University of Cádiz, 11009 Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA), Research Unit, Puerta del Mar University Hospital, University of Cadiz, 11009 Cádiz, Spain; Preventive Medicine and Public Health Area, University of Cádiz, 11009 Cádiz, SpainThe Observatory of Pain, University of Cádiz, 11009 Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA), Research Unit, Puerta del Mar University Hospital, University of Cadiz, 11009 Cádiz, Spain; Department of Nursing and Physiotherapy, University of Cadiz, 11009 Cadiz, SpainThe Observatory of Pain, University of Cádiz, 11009 Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA), Research Unit, Puerta del Mar University Hospital, University of Cadiz, 11009 Cádiz, Spain; Preventive Medicine and Public Health Area, University of Cádiz, 11009 Cádiz, SpainIntroduction: 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. Resumen: Introducción: El COVID-19 y las medidas preventivas recomendadas para su control han sido ampliamente estudiados en la población en general. Sin embargo, poco se sabe sobre si los trabajadores universitarios como educadores y transmisores de conocimiento tienen los conocimientos adecuados y toman las medidas preventivas adecuadas. Este estudio tiene como objetivo analizar el conocimiento sobre el COVID-19 y las medidas preventivas recomendadas en trabajadores universitarios, así como, identificar grupos según las prácticas preventivas que adopten y analizar los factores asociados a estas prácticas. Material y métodos: Se realizó un estudio transversal en 677 trabajadores universitarios de la Universidad de Cádiz, España. Se administró un cuestionario (del 8 al 22 de abril) que recogía variables sociodemográficas, sobre su vivienda, condiciones de salud, conocimiento del COVID-19 y medidas preventivas. Se realizó un análisis de conglomerados para identificar subgrupos en función de las medidas preventivas. Los factores asociados se probaron con regresión logística binaria. Resultados: Se identificaron dos grupos. El grupo 1 incluyó a 513 sujetos que tomaban medidas preventivas con mayor frecuencia (medias 2,59-4,83). El grupo 2 incluyó a 164 sujetos que tomaron medidas preventivas con menor frecuencia (medias 1,59-4,22). Los hombres (OR=1,39), el Personal Docente e Investigador (OR=1,49) y las personas con alguna enfermedad crónica (OR=1,60) tenían mayor probabilidad de pertenecer al grupo 2. Los que tenían más conocimientos sobre prevención del aislamiento (OR=0,167) y el tratamiento temprano (OR=0,665) tenían más probabilidades de pertenecer al grupo 1. Conclusión: Para reducir la transmisión de la enfermedad es necesario promover el conocimiento y uso de medidas preventivas entre el grupo de individuos identificados como menos comprometidos con las medidas preventivas.http://www.sciencedirect.com/science/article/pii/S1575181322000560COVID- 19conocimientomedidas preventivastrabajadores universitarios |
| spellingShingle | María Dueñas Helena De Sola Alejandro Salazar Jenifer Palomo-Osuna Jose Antonio Moral-Munoz Inmaculada Failde Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis Educación Médica COVID- 19 conocimiento medidas preventivas trabajadores universitarios |
| 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 | COVID- 19 conocimiento medidas preventivas trabajadores universitarios |
| url | http://www.sciencedirect.com/science/article/pii/S1575181322000560 |
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