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Assessing the anxiety level of Iranian general population during COVID-19 outbreak
Open accessAbstract
This study is aimed to assess the anxiety level of Iranian general population during COVID-19 outbreak. The online questionnaire surveyed 10,754 individuals from the general population of 31 provinces of Iran who completed the questionnaire on social networks from March 1 to March 9, 2020. The inferential statistics suggests that the level of anxiety was higher among women (95 % CI [0.1, 81.36], p < 0.001), people who more followed corona-related news (p < 0.001) and the age group of 21-40 years (p < 0.001). Ultimately, the level of anxiety was significantly higher among people who had at least one family member, relative, or friend who contracted COVID-19 disease (95 % CI [1.2, 35.03], p < 0.001). The health care system should adopt a package of psychosocial interventions to reduce the anxiety of high risk groups.
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“Factors relating to COVID-19 symptoms and disease exposure are associated with negative psychological outcomes including depression, anxiety and stress (Moghanibashi-Mansourieh, 2020; Wang et al., 2020).”
From Behind the masks: A cross-sectional study on intolerance of uncertainty, perceived vulnerability to disease and psychological flexibility in relation to state anxiety and wellbeing during the COVID-19 pandemic (2021) · cites this paper as Moghanibashi-Mansourieh, 2020
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“Cross-sectional studies have reported associations between the COVID-19 pandemic and negative psychological outcomes including anxiety, distress, depression, and post-traumatic stress (Moghanibashi-Mansourieh, 2020; Rossi et al., 2020; Shevlin et al., 2020; Wang et al., 2020).”
From Behind the masks: A cross-sectional study on intolerance of uncertainty, perceived vulnerability to disease and psychological flexibility in relation to state anxiety and wellbeing during the COVID-19 pandemic (2021) · cites this paper as Moghanibashi-Mansourieh, 2020
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Metadata
- Authors
- Moghanibashi-Mansourieh, A.
- Venue
- Asian Journal of Psychiatry
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 51
- Pages
- 102076
- ISSN
- 1876-2018 (ISSN-L)
- PMC
- PMC7165107
- OpenAlex
- W3016925682
- Cited by
- 763
- References
- 13
- Citations by year
- 2026: 7 · 2025: 32 · 2024: 49 · 2023: 129 · 2022: 177 · 2021: 266 · 2020: 102
- FWCI
- 67.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Asian Journal of Psychiatry (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- COVID-19 pandemic, anxiety, general population, sex differences, news exposure, age differences, family members with COVID-19, psychosocial interventions, Iran
- MeSH terms
- COVID-19, Adolescent, Adult, Anxiety, Anxiety Disorders, Female, Humans, Iran, Male, Middle Aged, Pneumonia, Viral, Coronavirus Infections, Young Adult, Pandemics, Social Media
About these checks
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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