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      COVID-19 and stress: An evaluation using Beck’s depression and anxiety inventory among college students and faculty members of Jouf University

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          Abstract

          BACKGROUND: Individuals might suffer emotional, psychological, and even bodily challenges as a result of any pandemic. The impact of the COVID-19 outbreak on Saudi Arabian University students and faculty members has received little attention. OBJECTIVE: To assess stress during the COVID-19 pandemic among university college students and faculty members of Jouf University, KSA and evaluate the impact of socio- demographic factors on anxiety and depression levels. METHODS: Two hundred and seventeen participants from Jouf University completed an anonymous web-based survey that includes questionnaires about anxiety and depression symptoms. Beck’s anxiety inventory (BAI) was used to assess the anxiety levels, and Beck’s depression inventory (BDI) was used to determine the depression levels due to COVID 19 pandemic. The research was carried out between April 1, 2020, and June 30, 2020. An ordinal logistic regression analysis was performed to explain the odds of observing anxiety and depression. RESULTS: For “moderate anxiety” (22–35), the most frequently observed category of age, nationality, gender, duration spent in lockdown and profession was 20–30 years (n = 15, 65%), Saudis (n = 14, 61%), female (n = 15, 65%),>3 months (n = 17, 74%), and students (n = 15, 65%) respectively. For “moderate depression” (21–30), the most frequently observed category of age, nationality, gender, duration spent in lockdown and profession was 20–30 years (n = 10, 50%), Saudi (n = 15, 65%), female (n = 26, 65%).>3 months (n = 13, 65%), and both students and faculty members, each with an observed frequency of 10 (50%) respectively. Ordinal logistic regression analysis suggested that the observed effects of nationality, gender, and duration spent in lockdown period influenced the anxiety levels among participants. CONCLUSIONS: The impact of the lockdown duration was more significant in students than in faculty members and females than in males. Authors recommend the critical need for intervention and prevention strategies to address college students’ mental health.

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          Most cited references33

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          Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

          Summary Background In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. Findings Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. Interpretation The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. Funding National Key R&D Program of China.
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            The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application

            Background: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in China in December 2019. There is limited support for many of its key epidemiologic features, including the incubation period for clinical disease (coronavirus disease 2019 [COVID-19]), which has important implications for surveillance and control activities. Objective: To estimate the length of the incubation period of COVID-19 and describe its public health implications. Design: Pooled analysis of confirmed COVID-19 cases reported between 4 January 2020 and 24 February 2020. Setting: News reports and press releases from 50 provinces, regions, and countries outside Wuhan, Hubei province, China. Participants: Persons with confirmed SARS-CoV-2 infection outside Hubei province, China. Measurements: Patient demographic characteristics and dates and times of possible exposure, symptom onset, fever onset, and hospitalization. Results: There were 181 confirmed cases with identifiable exposure and symptom onset windows to estimate the incubation period of COVID-19. The median incubation period was estimated to be 5.1 days (95% CI, 4.5 to 5.8 days), and 97.5% of those who develop symptoms will do so within 11.5 days (CI, 8.2 to 15.6 days) of infection. These estimates imply that, under conservative assumptions, 101 out of every 10 000 cases (99th percentile, 482) will develop symptoms after 14 days of active monitoring or quarantine. Limitation: Publicly reported cases may overrepresent severe cases, the incubation period for which may differ from that of mild cases. Conclusion: This work provides additional evidence for a median incubation period for COVID-19 of approximately 5 days, similar to SARS. Our results support current proposals for the length of quarantine or active monitoring of persons potentially exposed to SARS-CoV-2, although longer monitoring periods might be justified in extreme cases. Primary Funding Source: U.S. Centers for Disease Control and Prevention, National Institute of Allergy and Infectious Diseases, National Institute of General Medical Sciences, and Alexander von Humboldt Foundation.
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              Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges

              Highlights • Emergence of 2019 novel coronavirus (2019-nCoV) in China has caused a large global outbreak and major public health issue. • At 9 February 2020, data from the WHO has shown >37 000 confirmed cases in 28 countries (>99% of cases detected in China). • 2019-nCoV is spread by human-to-human transmission via droplets or direct contact. • Infection estimated to have an incubation period of 2–14 days and a basic reproduction number of 2.24–3.58. • Controlling infection to prevent spread of the 2019-nCoV is the primary intervention being used.
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                Author and article information

                Journal
                Work
                WOR
                IOS Press
                10519815
                18759270
                June 21 2022
                June 21 2022
                : 72
                : 2
                : 399-407
                Affiliations
                [1 ]Department of Preventive Dentistry, College of Dentistry, Jouf University, Skaka, Aljouf, KSA
                [2 ]Center for Transdisciplinary Research (CFTR), Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
                [3 ]Department of Public Health, Faculty of Allied Health Sciences, Daffodil lnternational University, Dhaka, Bangladesh
                [4 ]Department of Preventive Dentistry, College of Dentistry, University of Hail, Hail, Saudi Arabia, KSA
                [5 ]Department of Internal Medicine, College of Medicine, Jouf University, Skaka, Aljouf, KSA
                Article
                10.3233/WOR-210346
                35527603
                af843761-f111-4a20-973a-dd0fcbc888b4
                © 2022
                History

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