Selected article for: "early stage and model fit"

Author: Akalu, Temesgen Yihunie; Gelaye, Kassahun Alemu; Bishaw, Mulat Addis; Tilahun, Sewbesew Yitayih; Yeshaw, Yigizie; Azale, Telake; Tsegaye, Tewodros; Asmelash, Daniel; Akalu, Yonas
Title: Depression, Anxiety, and Stress Symptoms and Its Associated Factors Among Residents of Gondar Town During the Early Stage of COVID-19 Pandemic
  • Cord-id: ea2nqk73
  • Document date: 2021_3_15
  • ID: ea2nqk73
    Snippet: PURPOSE: An acute respiratory disease caused by the novel coronavirus disease (COVID) was identified in late 2019. COVID-19 triggered a wide range of psychological problems, such as anxiety, depression, and stress. However, studies on mental health status in developing countries including Ethiopia related to COVID-19 are very limited. Therefore, this study was aimed at determining the magnitude of depression, anxiety, and stress, and their associated factors among Gondar town population during t
    Document: PURPOSE: An acute respiratory disease caused by the novel coronavirus disease (COVID) was identified in late 2019. COVID-19 triggered a wide range of psychological problems, such as anxiety, depression, and stress. However, studies on mental health status in developing countries including Ethiopia related to COVID-19 are very limited. Therefore, this study was aimed at determining the magnitude of depression, anxiety, and stress, and their associated factors among Gondar town population during the early stage of the COVID-19 pandemic. PATIENTS AND METHODS: A community-based cross-sectional study was conducted among 660 residents of Gondar town in April 2020. A multi-stage sampling technique was employed to select study participants. A 21 item depression, anxiety, and stress scale (DASS-21) was used. Variables with a p-value <0.05 in the final model were declared as statistically significant. Hosmer and Lemeshow goodness of fit test was used to check the model fitness. RESULTS: In this study, the prevalence of depression was 32.0% (95% CI: 28.4–35.5), anxiety 25.8% (95% CI: 22.4–29.1), and stress 14.7% (95% CI: 12.0–17.4), respectively. The odds of developing depression was higher among female respondents (AOR=2.30, 95% CI: 1.01, 3.83) and ever smokers (AOR=2.8, 95 CI: 1.23, 6.28) as compared to their counterparts. Besides, history of medical illness and ever smoking increase the odds of anxiety by 2.3 (AOR=2.3; 95% CI: 1.42–3.76), and 2.8 (AOR=2.8; 95% CI: 1.23–3.83), respectively. Furthermore, being unemployed and family size of <5 increase the odds of stress by 2.1 (AOR=2.1; 95% CI: 1.17–3.83) and 1.8 (AOR=1.8; 95% CI: 1.09–2.81), respectively. CONCLUSION: In this study, the overall depression, anxiety, and stress were significantly high. There are number of factors associated with depression, anxiety, and stress. Designing and implementing tailored strategies for COVID-19 prevention and control could be supremely important to reduce mental health problems in the community.

    Search related documents:
    Co phrase search for related documents
    • absence presence and acute phase: 1, 2, 3, 4, 5, 6, 7, 8
    • absence presence and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • absence presence and logistic regression model: 1, 2, 3, 4, 5, 6, 7
    • absence presence and long duration: 1, 2
    • absence presence and lottery method: 1
    • absence presence and lung cancer: 1, 2, 3, 4
    • access journal and local language: 1
    • access journal and logistic regression: 1
    • access journal and lung cancer: 1
    • acute phase and administer questionnaire: 1
    • acute phase and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute phase and logistic regression model: 1, 2, 3, 4, 5
    • acute phase and long duration: 1, 2, 3, 4, 5, 6
    • acute phase and lung cancer: 1, 2, 3, 4, 5, 6, 7
    • addis ababa and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21
    • addis ababa and logistic regression model: 1, 2, 3, 4, 5
    • administrative unit and logistic regression: 1
    • administrative unit and logistic regression model: 1
    • local language and lockdown day: 1