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Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021

The influence of different types of information sources on individual preventive behaviors remains unclear. We aimed to investigate the associations between individual information usage to obtain information about COVID-19 and compliance with preventive behaviors. This longitudinal study was based o...

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Autores principales: Kusama, Taro, Kiuchi, Sakura, Takeuchi, Kenji, Ikeda, Takaaki, Nakazawa, Noriko, Kinugawa, Anna, Osaka, Ken, Tabuchi, Takahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954039/
https://www.ncbi.nlm.nih.gov/pubmed/35326999
http://dx.doi.org/10.3390/healthcare10030521
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author Kusama, Taro
Kiuchi, Sakura
Takeuchi, Kenji
Ikeda, Takaaki
Nakazawa, Noriko
Kinugawa, Anna
Osaka, Ken
Tabuchi, Takahiro
author_facet Kusama, Taro
Kiuchi, Sakura
Takeuchi, Kenji
Ikeda, Takaaki
Nakazawa, Noriko
Kinugawa, Anna
Osaka, Ken
Tabuchi, Takahiro
author_sort Kusama, Taro
collection PubMed
description The influence of different types of information sources on individual preventive behaviors remains unclear. We aimed to investigate the associations between individual information usage to obtain information about COVID-19 and compliance with preventive behaviors. This longitudinal study was based on an Internet survey conducted in August–September 2020 and February 2021. We used compliance with four preventive behaviors for COVID-19, “wearing a mask”, “ventilation”, “social distancing”, and “avoiding crowds” as outcome variables, and 20 types of information sources based on people or institutions (Medical worker, Government, etc.) and media (TV news, Twitter, etc.) as predictors. Absolute differences and 95% confidence intervals were estimated using generalized estimating equations adjusted for possible confounders. Among the 18,151 participants aged 20–79, the mean age was 51.7 (SD = 15.9) in 2020, and 51.3% were male. In total, compliance with “wearing a mask”, “ventilation”, “social distancing”, and “avoiding crowds” was seen in 86.2%, 46.9%, 45.4%, and 62.6% of individuals in 2020, and 89.3%, 38.2%, 47.2%, and 61.6% of individuals in 2021, respectively. In the multivariate analysis, “medical workers”, “professionals”, “the government”, “Twitter”, “news websites”, and “TV news” were positively associated with compliance with two or more preventive behaviors (p < 0.05). The type of information source may play an important role in providing information for COVID-19 prevention.
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spelling pubmed-89540392022-03-26 Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021 Kusama, Taro Kiuchi, Sakura Takeuchi, Kenji Ikeda, Takaaki Nakazawa, Noriko Kinugawa, Anna Osaka, Ken Tabuchi, Takahiro Healthcare (Basel) Article The influence of different types of information sources on individual preventive behaviors remains unclear. We aimed to investigate the associations between individual information usage to obtain information about COVID-19 and compliance with preventive behaviors. This longitudinal study was based on an Internet survey conducted in August–September 2020 and February 2021. We used compliance with four preventive behaviors for COVID-19, “wearing a mask”, “ventilation”, “social distancing”, and “avoiding crowds” as outcome variables, and 20 types of information sources based on people or institutions (Medical worker, Government, etc.) and media (TV news, Twitter, etc.) as predictors. Absolute differences and 95% confidence intervals were estimated using generalized estimating equations adjusted for possible confounders. Among the 18,151 participants aged 20–79, the mean age was 51.7 (SD = 15.9) in 2020, and 51.3% were male. In total, compliance with “wearing a mask”, “ventilation”, “social distancing”, and “avoiding crowds” was seen in 86.2%, 46.9%, 45.4%, and 62.6% of individuals in 2020, and 89.3%, 38.2%, 47.2%, and 61.6% of individuals in 2021, respectively. In the multivariate analysis, “medical workers”, “professionals”, “the government”, “Twitter”, “news websites”, and “TV news” were positively associated with compliance with two or more preventive behaviors (p < 0.05). The type of information source may play an important role in providing information for COVID-19 prevention. MDPI 2022-03-13 /pmc/articles/PMC8954039/ /pubmed/35326999 http://dx.doi.org/10.3390/healthcare10030521 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
Kusama, Taro
Kiuchi, Sakura
Takeuchi, Kenji
Ikeda, Takaaki
Nakazawa, Noriko
Kinugawa, Anna
Osaka, Ken
Tabuchi, Takahiro
Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021
title Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021
title_full Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021
title_fullStr Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021
title_full_unstemmed Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021
title_short Information Usage and Compliance with Preventive Behaviors for COVID-19: A Longitudinal Study with Data from the JACSIS 2020/JASTIS 2021
title_sort information usage and compliance with preventive behaviors for covid-19: a longitudinal study with data from the jacsis 2020/jastis 2021
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954039/
https://www.ncbi.nlm.nih.gov/pubmed/35326999
http://dx.doi.org/10.3390/healthcare10030521
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