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      The prevalence of depression, anxiety, and sleep disturbances in COVID‐19 patients: a meta‐analysis

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          Abstract

          Evidence from previous coronavirus outbreaks has shown that infected patients are at risk for developing psychiatric and mental health disorders, such as depression, anxiety, and sleep disturbances. To construct a comprehensive picture of the mental health status in COVID‐19 patients, we conducted a systematic review and random‐effects meta‐analysis to assess the prevalence of depression, anxiety, and sleep disturbances in this population. We searched MEDLINE, EMBASE, PubMed, Web of Science, CINAHL, Wanfang Data, Wangfang Med Online, CNKI, and CQVIP for relevant articles, and we included 31 studies ( n = 5153) in our analyses. We found that the pooled prevalence of depression was 45% (95% CI: 37–54%, I 2 = 96%), the pooled prevalence of anxiety was 47% (95% CI: 37–57%, I 2 = 97%), and the pooled prevalence of sleeping disturbances was 34% (95% CI: 19–50%, I 2 = 98%). We did not find any significant differences in the prevalence estimates between different genders; however, the depression and anxiety prevalence estimates varied based on different screening tools. More observational studies assessing the mental wellness of COVID‐19 outpatients and COVID‐19 patients from countries other than China are needed to further examine the psychological implications of COVID‐19 infections.

          Abstract

          The objective of this systematic review and meta‐analysis was to assess the prevalence of depression, anxiety, and sleep disturbances in COVID‐19 patients. Our findings suggest that 45% of COVID‐19 patients experience depression, 47% of patients experience anxiety, and 34% of patients experience sleep disturbances. A majority of the included patients were inpatients and patients from China. We did not find any differences in prevalence between patients of different gender, however, the prevalence of depression and anxiety varied depending on the use of different screening tools.

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          A Novel Coronavirus from Patients with Pneumonia in China, 2019

          Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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            Measuring inconsistency in meta-analyses.

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              A brief measure for assessing generalized anxiety disorder: the GAD-7.

              Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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                Author and article information

                Contributors
                dengj35@mcmaster.ca
                Journal
                Ann N Y Acad Sci
                Ann N Y Acad Sci
                10.1111/(ISSN)1749-6632
                NYAS
                Annals of the New York Academy of Sciences
                John Wiley and Sons Inc. (Hoboken )
                0077-8923
                1749-6632
                02 October 2020
                : 10.1111/nyas.14506
                Affiliations
                [ 1 ] Faculty of Health Sciences McMaster University Hamilton Ontario Canada
                [ 2 ] Faculty of Science Carleton University Ottawa Ontario Canada
                [ 3 ] Department of Anesthesiology Rutgers New Jersey Medical School Newark New Jersey
                Author notes
                [*] [* ]Address for correspondence: Jiawen Deng, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L8, Canada. dengj35@ 123456mcmaster.ca

                Author information
                https://orcid.org/0000-0002-8274-6468
                https://orcid.org/0000-0001-6236-764X
                https://orcid.org/0000-0002-3064-6182
                https://orcid.org/0000-0001-7363-546X
                https://orcid.org/0000-0002-8491-4090
                Article
                NYAS14506
                10.1111/nyas.14506
                7675607
                33009668
                03774691-2fba-4ab7-b781-f94d2e34573e
                © 2020 New York Academy of Sciences.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 02 July 2020
                : 30 August 2020
                : 16 September 2020
                Page count
                Figures: 6, Tables: 2, Pages: 22, Words: 11355
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.4 mode:remove_FC converted:19.11.2020

                Uncategorized
                depression,anxiety,sleep disturbance,coronavirus,meta‐analysis,pandemic
                Uncategorized
                depression, anxiety, sleep disturbance, coronavirus, meta‐analysis, pandemic

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