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Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro

 : Gender appears to be a strong predictor of online health information-seeking behaviour (OHISB). Gender differences in OHISB have been studied in different countries with different results, but no studies investigated gender-specific behaviour among University students during the COVID-19 pandemic...

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Autores principales: Guida, A, Morittu, C, Gallinoro, V, Ferro Allodola, V, Okan, O, Dadaczynski, K, Lorini, C, Lastrucci, V, Bonaccorsi, G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594601/
http://dx.doi.org/10.1093/eurpub/ckac131.348
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author Guida, A
Morittu, C
Gallinoro, V
Ferro Allodola, V
Okan, O
Dadaczynski, K
Lorini, C
Lastrucci, V
Bonaccorsi, G
author_facet Guida, A
Morittu, C
Gallinoro, V
Ferro Allodola, V
Okan, O
Dadaczynski, K
Lorini, C
Lastrucci, V
Bonaccorsi, G
author_sort Guida, A
collection PubMed
description  : Gender appears to be a strong predictor of online health information-seeking behaviour (OHISB). Gender differences in OHISB have been studied in different countries with different results, but no studies investigated gender-specific behaviour among University students during the COVID-19 pandemic, which has brought with it a consequential infodemic. We sought to investigate any gender differences in OHISB in the period between the first and the second wave of the COVID-19 pandemic. A questionnaire promoted by the COVID-HL network was administered to 2996 students of all the courses at the University of Florence. It included existing validated scales adapted to the COVID-19 pandemic and newly developed scales. Gender differences were tested using the χ2 test or the Mann-Whitney U test, where appropriate. Male students reported a higher score in DHL than females (p < 0.001). However, female students reported using more often different sources for online information seeking (p < 0.05, except for YouTube), searching more corona-related topics (p < 0.05, except for economic and social consequences) and considering ‘‘very important'’ each item in the ‘‘Importance of internet information search'’ section (p < 0.05). Furthermore, female students are more likely to be ‘‘often dissatisfied'’ or ‘‘partly satisfied'’ with information about COVID-19 (p < 0.001) and to search more often for information for themselves and other people. Our study confirmed that gender could affect the way students search for health information on the Internet. Since students, in particular females, have been affected by stress and anxiety during the pandemic, these findings could help institutions to promote gender-specific education programmes to improve students’ DHL and their mental health outcomes, as well as to provide health information that fit specific gender needs. KEY MESSAGES: • Gender influences how university students search on the Internet for health information. • This should guide institutions to better address educational programmes to improve their Digital Health Literacy.
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spelling pubmed-95946012022-11-04 Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro Guida, A Morittu, C Gallinoro, V Ferro Allodola, V Okan, O Dadaczynski, K Lorini, C Lastrucci, V Bonaccorsi, G Eur J Public Health Poster Displays  : Gender appears to be a strong predictor of online health information-seeking behaviour (OHISB). Gender differences in OHISB have been studied in different countries with different results, but no studies investigated gender-specific behaviour among University students during the COVID-19 pandemic, which has brought with it a consequential infodemic. We sought to investigate any gender differences in OHISB in the period between the first and the second wave of the COVID-19 pandemic. A questionnaire promoted by the COVID-HL network was administered to 2996 students of all the courses at the University of Florence. It included existing validated scales adapted to the COVID-19 pandemic and newly developed scales. Gender differences were tested using the χ2 test or the Mann-Whitney U test, where appropriate. Male students reported a higher score in DHL than females (p < 0.001). However, female students reported using more often different sources for online information seeking (p < 0.05, except for YouTube), searching more corona-related topics (p < 0.05, except for economic and social consequences) and considering ‘‘very important'’ each item in the ‘‘Importance of internet information search'’ section (p < 0.05). Furthermore, female students are more likely to be ‘‘often dissatisfied'’ or ‘‘partly satisfied'’ with information about COVID-19 (p < 0.001) and to search more often for information for themselves and other people. Our study confirmed that gender could affect the way students search for health information on the Internet. Since students, in particular females, have been affected by stress and anxiety during the pandemic, these findings could help institutions to promote gender-specific education programmes to improve students’ DHL and their mental health outcomes, as well as to provide health information that fit specific gender needs. KEY MESSAGES: • Gender influences how university students search on the Internet for health information. • This should guide institutions to better address educational programmes to improve their Digital Health Literacy. Oxford University Press 2022-10-25 /pmc/articles/PMC9594601/ http://dx.doi.org/10.1093/eurpub/ckac131.348 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Displays
Guida, A
Morittu, C
Gallinoro, V
Ferro Allodola, V
Okan, O
Dadaczynski, K
Lorini, C
Lastrucci, V
Bonaccorsi, G
Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro
title Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro
title_full Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro
title_fullStr Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro
title_full_unstemmed Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro
title_short Digital Health Literacy during COVID-19: gender differences from a Florentine University experience: Veronica Gallinoro
title_sort digital health literacy during covid-19: gender differences from a florentine university experience: veronica gallinoro
topic Poster Displays
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594601/
http://dx.doi.org/10.1093/eurpub/ckac131.348
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