IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i3p1092-d728272.html
   My bibliography  Save this article

Predictors of the Development of Mental Disorders in Hospitalized COVID-19 Patients without Previous Psychiatric History: A Single-Center Retrospective Study in South Korea

Author

Listed:
  • Jangrae Kim

    (Department of Psychiatry, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea)

  • Yae Eun Seo

    (Department of Psychiatry, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea)

  • Ho Kyung Sung

    (Institute for Public Healthcare, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea
    National Emergency Medical Center, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea)

  • Hye Yoon Park

    (Department of Psychiatry, Seoul National University Hospital, Daehak-ro 101, Jongno-gu, Seoul 03080, Korea
    Department of Psychiatry, Seoul National University College of Medicine, Daehak-ro 103, Jongno-gu, Seoul 03080, Korea)

  • Myung Hwa Han

    (Department of Psychiatry, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea)

  • So Hee Lee

    (Department of Psychiatry, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea)

Abstract

The objective of this study was to investigate the predictors for new-onset mental disorders among patients with mild to moderate COVID-19 illness during hospitalization. A retrospective cohort study was performed in patients with confirmed COVID-19 admitted to a nationally designated hospital between 1 February and 30 June 2020. Demographic, clinical, psychological assessments, and psychiatric outcomes were obtained from electronic medical record review. Multivariate logistic regression analysis was used to identify predictors of new-onset mental disorders. Among 185 patients, 130 had no history of mental disorders or cognitive impairment at the time of admission. Of 130 patients, 29 (22.3%) were newly diagnosed with mental disorders during hospitalization. The following factors were significantly associated with an increased risk of a psychiatric diagnosis: Charlson comorbidity index core ≥1 (adjusted odds ratio (aOR) = 5.115, 95% confidence interval (CI): 1.737–15.058), length of stay (aOR per 1-day increase = 1.067, 95% CI: 1.035–1.100), and self-reported depressive symptoms at the time of admission (aOR = 5.357, 95% CI: 1.745–16.444). The predictive accuracy of combining these risk factors was relatively high (area under curve = 0.851, 95% CI: 0.778–0.923). These potential risk factors could help to predict the new-onset mental disorder among hospitalized patients with COVID-19.

Suggested Citation

  • Jangrae Kim & Yae Eun Seo & Ho Kyung Sung & Hye Yoon Park & Myung Hwa Han & So Hee Lee, 2022. "Predictors of the Development of Mental Disorders in Hospitalized COVID-19 Patients without Previous Psychiatric History: A Single-Center Retrospective Study in South Korea," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1092-:d:728272
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/3/1092/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/3/1092/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Agnieszka Markiewicz-Gospodarek & Aleksandra Górska & Renata Markiewicz & Zuzanna Chilimoniuk & Marcin Czeczelewski & Jacek Baj & Ryszard Maciejewski & Jolanta Masiak, 2022. "The Relationship between Mental Disorders and the COVID-19 Pandemic—Course, Risk Factors, and Potential Consequences," IJERPH, MDPI, vol. 19(15), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1092-:d:728272. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.