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      Depression among schoolchildren and adolescents aged 9–17 years during the outbreak of COVID‑19 in Beijing: a cross-sectional online survey

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          Most cited references32

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          The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

          L Radloff (1977)
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            Is Open Access

            Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China

            Background: The 2019 coronavirus disease (COVID-19) epidemic is a public health emergency of international concern and poses a challenge to psychological resilience. Research data are needed to develop evidence-driven strategies to reduce adverse psychological impacts and psychiatric symptoms during the epidemic. The aim of this study was to survey the general public in China to better understand their levels of psychological impact, anxiety, depression, and stress during the initial stage of the COVID-19 outbreak. The data will be used for future reference. Methods: From 31 January to 2 February 2020, we conducted an online survey using snowball sampling techniques. The online survey collected information on demographic data, physical symptoms in the past 14 days, contact history with COVID-19, knowledge and concerns about COVID-19, precautionary measures against COVID-19, and additional information required with respect to COVID-19. Psychological impact was assessed by the Impact of Event Scale-Revised (IES-R), and mental health status was assessed by the Depression, Anxiety and Stress Scale (DASS-21). Results: This study included 1210 respondents from 194 cities in China. In total, 53.8% of respondents rated the psychological impact of the outbreak as moderate or severe; 16.5% reported moderate to severe depressive symptoms; 28.8% reported moderate to severe anxiety symptoms; and 8.1% reported moderate to severe stress levels. Most respondents spent 20–24 h per day at home (84.7%); were worried about their family members contracting COVID-19 (75.2%); and were satisfied with the amount of health information available (75.1%). Female gender, student status, specific physical symptoms (e.g., myalgia, dizziness, coryza), and poor self-rated health status were significantly associated with a greater psychological impact of the outbreak and higher levels of stress, anxiety, and depression (p < 0.05). Specific up-to-date and accurate health information (e.g., treatment, local outbreak situation) and particular precautionary measures (e.g., hand hygiene, wearing a mask) were associated with a lower psychological impact of the outbreak and lower levels of stress, anxiety, and depression (p < 0.05). Conclusions: During the initial phase of the COVID-19 outbreak in China, more than half of the respondents rated the psychological impact as moderate-to-severe, and about one-third reported moderate-to-severe anxiety. Our findings identify factors associated with a lower level of psychological impact and better mental health status that can be used to formulate psychological interventions to improve the mental health of vulnerable groups during the COVID-19 epidemic.
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              Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey

              Highlights • The COVID-19 outbreak significantly affects the mental health of Chinese public • During the outbreak, young people had a higher risk of anxiety than older people • Spending too much time thinking about the outbreak is harmful to mental health • Healthcare workers were at high risk for poor sleep
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                Author and article information

                Journal
                Psychology, Health & Medicine
                Psychology, Health & Medicine
                Informa UK Limited
                1354-8506
                1465-3966
                January 02 2023
                March 28 2022
                January 02 2023
                : 28
                : 1
                : 148-160
                Affiliations
                [1 ]Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
                [2 ]School Health Department, Fangshan District Center for Disease Control and Prevention, Beijing, China
                [3 ]School Health Department, Daxing District Center for Disease Control and Prevention, Beijing, China
                [4 ]The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
                [5 ]Department of Health Management and Policy, School of Public Health, Capital Medical University, Beijing, China
                Article
                10.1080/13548506.2022.2058029
                a8777a5a-0d09-424c-9691-f7aef31514c7
                © 2023
                History

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