Excessive media consumption about COVID-19 is associated with increased state anxiety: Outcomes of a large online survey in Russia
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Author(s)
Munblit, Daniel
Warner, John
Tudor-Williams, Gareth
Petrou, Loukia
Cheung, Ka Yan
Type
Journal Article
Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic has potentially had a negative impact on the mental health and well being of individuals and families. Anxiety levels and risk factors within particular populations are poorly described.
Objectives: To evaluate confidence, understanding, trust and concerns and levels of anxiety during COVID-19 pandemic in general population and assess risk factors for increased anxiety.
Methods: We launched a cross-sectional online survey a large Russian population between 6th and 15th April 2020 using multiple social media platforms. A set of questions targeted confidence, understanding, trust and concerns in respondents. State-Trait Anxiety Inventory (STAI) was used to measure anxiety. Multiple linear regressions were used to model predictors of COVID-19 related anxiety.
Results: The survey was completed by 23,756 out of 53,966 unique visitors (44.0% response rate); 21,364 of who were residing in 62 areas of Russia. State anxiety (S-Anxiety) scores were higher than Trait anxiety (T-Anxiety) across all regions of Russia (median S-Anxiety score 52 [IQR 44-60]), exceeding published norms. Time spent following news on COVID-19 was strongly associated with an increased S-Anxiety adjusted for baseline anxiety level. One to two hours spent reading COVID news was associated with 5.46 (95%CI 5.03-5.90) point difference, 2-3 hours 7.06 (6.37-7.74) and more than three hours 8.65 (7.82-9.47), respectively; all compared to less than 30 minutes per day. Job loss during pandemic was another important factor associated with higher S-Anxiety scores (3.95 [3.31 – 4.58]).
Despite survey respondents reporting high confidence in information regarding COVID-19, as well as understanding of healthcare guidance, they reported low overall trust in state and local authorities and perception of country readiness.
Conclusions: Among Russian respondents from multiple social media platforms, there is evidence of higher levels of state-anxiety associated with recent job loss and increased news consumption, as well as lower than expected trust in government agencies. These findings can help inform development of key public-health messages to help reduce anxiety and raise perceived trust in governmental response to this current national emergency. Using similar methodology, comparative surveys are ongoing in other national populations.
Objectives: To evaluate confidence, understanding, trust and concerns and levels of anxiety during COVID-19 pandemic in general population and assess risk factors for increased anxiety.
Methods: We launched a cross-sectional online survey a large Russian population between 6th and 15th April 2020 using multiple social media platforms. A set of questions targeted confidence, understanding, trust and concerns in respondents. State-Trait Anxiety Inventory (STAI) was used to measure anxiety. Multiple linear regressions were used to model predictors of COVID-19 related anxiety.
Results: The survey was completed by 23,756 out of 53,966 unique visitors (44.0% response rate); 21,364 of who were residing in 62 areas of Russia. State anxiety (S-Anxiety) scores were higher than Trait anxiety (T-Anxiety) across all regions of Russia (median S-Anxiety score 52 [IQR 44-60]), exceeding published norms. Time spent following news on COVID-19 was strongly associated with an increased S-Anxiety adjusted for baseline anxiety level. One to two hours spent reading COVID news was associated with 5.46 (95%CI 5.03-5.90) point difference, 2-3 hours 7.06 (6.37-7.74) and more than three hours 8.65 (7.82-9.47), respectively; all compared to less than 30 minutes per day. Job loss during pandemic was another important factor associated with higher S-Anxiety scores (3.95 [3.31 – 4.58]).
Despite survey respondents reporting high confidence in information regarding COVID-19, as well as understanding of healthcare guidance, they reported low overall trust in state and local authorities and perception of country readiness.
Conclusions: Among Russian respondents from multiple social media platforms, there is evidence of higher levels of state-anxiety associated with recent job loss and increased news consumption, as well as lower than expected trust in government agencies. These findings can help inform development of key public-health messages to help reduce anxiety and raise perceived trust in governmental response to this current national emergency. Using similar methodology, comparative surveys are ongoing in other national populations.
Date Issued
2020-09-11
Date Acceptance
2020-08-06
Citation
Journal of Medical Internet Research, 2020, 22 (9), pp.1-18
ISSN
1438-8871
Publisher
JMIR Publications
Start Page
1
End Page
18
Journal / Book Title
Journal of Medical Internet Research
Volume
22
Issue
9
Copyright Statement
©Nikita A Nekliudov, Oleg Blyuss, Ka Yan Cheung, Loukia Petrou, Jon Genuneit, Nikita Sushentsev, Anna Levadnaya, Pasquale
Comberiati, John O Warner, Gareth Tudor-Williams, Martin Teufel, Matthew Greenhawt, Audrey DunnGalvin, Daniel Munblit.
Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.09.2020. 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 use, distribution, and reproduction in any medium, provided the original work, first published in the Journal
of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on
http://www.jmir.org/, as well as this copyright and license information must be included.
Comberiati, John O Warner, Gareth Tudor-Williams, Martin Teufel, Matthew Greenhawt, Audrey DunnGalvin, Daniel Munblit.
Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.09.2020. 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 use, distribution, and reproduction in any medium, provided the original work, first published in the Journal
of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on
http://www.jmir.org/, as well as this copyright and license information must be included.
License URL
Identifier
https://preprints.jmir.org/preprint/20955/accepted
Subjects
COVID-19
SARS-CoV-2
STAI
anxiety
media consumption
mental health
social media
state anxiety
survey
trait anxiety
trust
trust to government
Medical Informatics
08 Information and Computing Sciences
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
Publication Status
Published
Date Publish Online
2020-09-11