作者
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
发表日期
2020/9/11
期刊
Journal of medical Internet research
卷号
22
期号
9
页码范围
e20955
出版商
JMIR Publications
简介
Background
The 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.
Objective
This study aims to evaluate confidence, understanding, trust, concerns, and levels of anxiety during the COVID-19 pandemic in the general population and assess risk factors for increased anxiety.
Methods
We launched a cross-sectional online survey of a large Russian population between April 6 and 15, 2020, using multiple social media platforms. A set of questions targeted confidence, understanding, trust, and concerns in respondents. The State-Trait Anxiety Inventory 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 (44.0% response rate) unique visitors; of which, 21,364 were residing in 62 areas of Russia. State Anxiety Scale (S-Anxiety) scores were higher than Trait Anxiety Scale scores 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-19 news was associated with a 5.46 (95% CI 5.03-5.90) point difference, 2-3 hours with a 7.06 (95% CI 6.37-7.74) point difference, and more than three hours with an 8.65 (95% CI 7.82-9.47) point difference, all compared to less than 30 minutes per day. Job …
引用总数
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