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Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students
The Coronavirus Disease 19 (COVID-19) pandemic and the associated “infodemic” have shown the importance of surveillance and promotion of health literacy, especially for young adults such as university students who use digital media to a very high degree. This study aimed to assess the validity and r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140816/ https://www.ncbi.nlm.nih.gov/pubmed/35627789 http://dx.doi.org/10.3390/ijerph19106247 |
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author | Lorini, Chiara Velasco, Veronica Bonaccorsi, Guglielmo Dadaczynski, Kevin Okan, Orkan Zanobini, Patrizio Vecchio, Luca P. |
author_facet | Lorini, Chiara Velasco, Veronica Bonaccorsi, Guglielmo Dadaczynski, Kevin Okan, Orkan Zanobini, Patrizio Vecchio, Luca P. |
author_sort | Lorini, Chiara |
collection | PubMed |
description | The Coronavirus Disease 19 (COVID-19) pandemic and the associated “infodemic” have shown the importance of surveillance and promotion of health literacy, especially for young adults such as university students who use digital media to a very high degree. This study aimed to assess the validity and reliability of the Italian version of the COVID-19 adapted version of the Digital Health Literacy Instrument (DHLI). This cross-sectional study is part of the COVID-19 University Students Survey involving 3985 students from two Italian universities. First, item analysis and internal consistency were assessed. Then, Principal Component Analysis (PCA) and Confirmatory Factor Analyses (CFA) were performed comparing different models. The Italian DHLI showed good psychometric characteristics. The protecting privacy subscale was excluded, given the criticalities presented in the validation process. CFA confirmed the four-factor structure, also including a high-order factor. This result allows using the scale to measure a global level of digital health literacy and consider its levels separately for each construct component: searching the web for information, evaluating reliability, determining personal relevance, and adding self-generated content. |
format | Online Article Text |
id | pubmed-9140816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91408162022-05-28 Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students Lorini, Chiara Velasco, Veronica Bonaccorsi, Guglielmo Dadaczynski, Kevin Okan, Orkan Zanobini, Patrizio Vecchio, Luca P. Int J Environ Res Public Health Article The Coronavirus Disease 19 (COVID-19) pandemic and the associated “infodemic” have shown the importance of surveillance and promotion of health literacy, especially for young adults such as university students who use digital media to a very high degree. This study aimed to assess the validity and reliability of the Italian version of the COVID-19 adapted version of the Digital Health Literacy Instrument (DHLI). This cross-sectional study is part of the COVID-19 University Students Survey involving 3985 students from two Italian universities. First, item analysis and internal consistency were assessed. Then, Principal Component Analysis (PCA) and Confirmatory Factor Analyses (CFA) were performed comparing different models. The Italian DHLI showed good psychometric characteristics. The protecting privacy subscale was excluded, given the criticalities presented in the validation process. CFA confirmed the four-factor structure, also including a high-order factor. This result allows using the scale to measure a global level of digital health literacy and consider its levels separately for each construct component: searching the web for information, evaluating reliability, determining personal relevance, and adding self-generated content. MDPI 2022-05-20 /pmc/articles/PMC9140816/ /pubmed/35627789 http://dx.doi.org/10.3390/ijerph19106247 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Lorini, Chiara Velasco, Veronica Bonaccorsi, Guglielmo Dadaczynski, Kevin Okan, Orkan Zanobini, Patrizio Vecchio, Luca P. Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students |
title | Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students |
title_full | Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students |
title_fullStr | Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students |
title_full_unstemmed | Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students |
title_short | Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students |
title_sort | validation of the covid-19 digital health literacy instrument in the italian language: a cross-sectional study of italian university students |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140816/ https://www.ncbi.nlm.nih.gov/pubmed/35627789 http://dx.doi.org/10.3390/ijerph19106247 |
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