Evaluation of Depression, Anxiety and Sleep Quality in the Brazilian Population During Social Isolation Due to the New Coronavirus (SARS-CoV-2) pandemic: the DEGAS-CoV Study/ Avaliação da Depressão, Ansiedade e Qualidade do Sono na População Brasileira Durante o Isolamento Social Devido à Nova Pandemia do Coronavírus (SARS-CoV-2): o Estudo DEGAS-CoV

  1. Paulo Afonso Mei
  2. Amanda Sasse
  3. Ana Lara Navarrete Fernandez
  4. Bárbara Neiva Perri
  5. Breno Alexander Bispo
  6. Cintia Zonta Baptista
  7. Fábio Soares Néspoli
  8. Gabriela Sakita Munhos
  9. Giovanni Giuliani Verghetti
  10. Giselly Brito Santana
  11. Guilherme Barbosa de Almeida Oliveira Martins
  12. Jessyca Rosa Lopes Mendonça
  13. Julia Patel Lebl
  14. Laís Grabner Ruivo
  15. Laura Loeb
  16. Marielly Isepon
  17. Marina Joseane Pachecco
  18. Paloma Ricciardi de Castro
  19. Paola Ricciardi de Castro
  20. Rafaela Dotta Brustolin
  21. Taysa Ma. P. Gonçalves G. da Silva
  22. Valdemiro da Rolt Junior
  23. Victoria Gomes
  24. Amilton dos Santos Junior
  25. Tânia Aparecida Marchiori Oliveira Cardoso

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Abstract

Introduction: The new coronavirus infection (COVID-19) has caused distress and repercussions in mental and physical health of individuals. Depression, anxiety and worsening of sleep quality have been reported in several recent articles that surveyed populations all over the globe. Our work meant to access, through a cross-sectional study, these disorders in the Brazilian population, through the application of an online questionnaire conducted on the second trimester of 2020. Materials and Methods: We applied an online questionnaire, filled with questions regarding social, economic, financial, educational and health status, as well as questions from the Hospital Anxiety and Depression Scale (HAD), and from the Pittsburgh Sleep Quality Index (PSQI).Results: We collected 2,695 valid answers, from April 24th to May 31st, 2020. Age ranged from 18 to 79 years, mean of 31.3. Women were 76.3%, men 23.7%. Symptoms of Anxiety were found in 56.5%, of depression in 46.1%, and of bad sleep in 49.2%. Some groups were more prone than others to one or more of those conditions, such as: younger people, women, mestizos, people with lesser years of education, of lower income or whose income dropped significantly during the pandemic, caregivers, students, sedentary or people practicing less physical activity, people who followed more hours of news of COVID-19 and those less engaged in social and instrumental activities.Conclusion: anxiety, depression and bad sleep quality were significantly high in our survey. Mental and sleep health is heterogeneously affected among individuals, depending on social, economic, financial, educational and health status.

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  1. Version published to 10.34119/bjhrv4n3-242
  2. ScreenIT

    SciScore for 10.1101/2021.02.02.21250825: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    II.C Data Analysis: Statistical Analysis was conducted in the Statistical Package for Social Sciences (SPSS) suite (26).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Apart from snowball sampling, there were other limitations. By lowering by 7 points the maximum punctuation possible of the PSQI, the authors acknowledge that sensitivity might have been diminished for detection of bad sleepers, but a necessary cost, given the facts already explained in methodology. Nonetheless, we consider that the specificity of the diagnosis of bad sleep remained unharmed, and the high proportion of bad sleepers, with the mPSQI, is by itself a fact worthy of consideration.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

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  3. Version published to 10.1101/2021.02.02.21250825v1 on medRxiv