The DOI matches its Crossref record; 42 of the 44 references it cites were found in a registry or an index.
Media use and acute psychological outcomes during COVID-19 outbreak in China
Open accessAbstract
The COVID-19 outbreak in China led to an extraordinary threat to public health and wellbeing. This study examined the psychological impact of media use among people indirectly exposed to the disease during the initial phase of the outbreak. We conducted an internet-based survey on January 28, 2020 (one week after the official declaration of person-to-person transmission of the coronavirus). Media use (media forms, content of media exposure, and media engagement) related to the outbreak and psychological outcomes (positive and negative affect, anxiety, depression, and stress) of 917 Chinese adults was assessed. A series of multivariable regressions were conducted. The results showed that use of new media, rather than traditional media, was significantly associated with more negative affect, depression, anxiety, and stress. Viewing stressful content (i.e., severity of the outbreak, reports from hospital) was associated with more negative affect and depression. Media engagement was also associated with more negative affect, anxiety, and stress. However, viewing heroic acts, speeches from experts, and knowledge of the disease and prevention were associated with more positive affect and less depression. The study suggested new media use and more media engagement was associated with negative psychological outcomes, while certain media content was associated with positive psychological impact. The present study highlights the need for timely public health communication from official sources and suggests that reduced exposure to new media may be beneficial.
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“In contrast, receiving information from health professionals or other experts was not associated with negative mental health consequences (Ko et al., 2020; Chao et al., 2020).”
From Lockdown, quarantine measures, and social distancing: Associations with depression, anxiety and distress at the beginning of the COVID-19 pandemic among adults from Germany (2020) · cites this paper as Chao et al., 2020
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Metadata
- Authors
- Chao, M., Xue, D., Liu, T., Yang, H., & Hall, B. J.
- Affiliations
- Tianjin Normal University (CN)
- University of Macau (MO)
- Corresponding author
- Liu, Tour
- Venue
- Journal of Anxiety Disorders
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 74
- Pages
- 102248
- ISSN
- 0887-6185 (ISSN-L)
- PMC
- PMC7255752
- OpenAlex
- W3029774798
- Cited by
- 300
- References
- 44
- Citations by year
- 2026: 17 · 2025: 24 · 2024: 27 · 2023: 55 · 2022: 63 · 2021: 84 · 2020: 30
- FWCI
- 21.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Anxiety Disorders (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Tianjin Philosophy and Social Science Project (TJJX15-002, 18YJC190013)
- Projects of Humanities and Social Sciences, Ministry of Education of China
- Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- COVID-19 pandemic, media use, psychological outcomes, anxiety, depression, stress, negative affect, positive affect, new media, media engagement, public health communication, indirect exposure, Chinese adults
- MeSH terms
- COVID-19, Adult, Anxiety, China, Depression, Disease Outbreaks, Female, Health Education, Humans, Male, Pneumonia, Viral, Public Health, Surveys and Questionnaires, Stress, Psychological, Coronavirus Infections, Internet, Pandemics
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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