Abstract

This study compared the coronavirus disease 2019 (COVID-19)-related stress, fear of infection, loneliness, and depression between patients with schizophrenia and the general population. A face-to-face survey was administered to 1340 patients with a schizophrenia spectrum disorder and online survey of the general population (n = 2000) was conducted. The information gathered included the level of COVID-19-related stress, fear of infection, the Patient Health Questionnaire-9 score, and the three-item UCLA Loneliness Scale score. Structural equation modeling revealed a significant effect of fear of COVID-19 infection on depression among the general population and on loneliness among patients with schizophrenia. Loneliness experienced during COVID-19 exacerbated depression in both groups. In the COVID-19-related stress–loneliness–depression pathway, the partial mediating effect of loneliness was significant in both groups. Conversely, in the COVID-19-related fear–loneliness–depression pathway, the full mediating effect of loneliness was only significant in patients with schizophrenia. In conclusion, the loneliness associated with COVID-19-related stress and fear of infection was an important factor influencing depression, and the impact was greater in patients with schizophrenia compared with the general population. Thus, different mental health intervention plans are needed for patients with schizophrenia during the COVID-19 pandemic. During the long-lasting COVID-19 pandemic, social support and provision of mental health services to prevent loneliness and consequent depression are required in patients with schizophrenia.

Highlights

  • Infectious disease outbreaks have caused psychosocial distress and various emotional problems associated with changes in people’s daily lives and the fear of infection[1–3]

  • We employed structural equation modeling (SEM) and latent mean analysis of major psychologic variables, including the stress associated with the COVID-19 outbreak, fear of infection, loneliness, and depression, in patients with schizophrenia compared with the general population

  • A total of 1340 patients with a schizophrenia spectrum disorder and 2000 members of the general population participated in this study

Read more

Summary

1234567890():,; INTRODUCTION

Infectious disease outbreaks have caused psychosocial distress and various emotional problems associated with changes in people’s daily lives and the fear of infection[1–3]. The pathway causing depression may differ in patients with schizophrenia compared with the general population To address these hypotheses, we employed structural equation modeling (SEM) and latent mean analysis of major psychologic variables, including the stress associated with the COVID-19 outbreak, fear of infection, loneliness, and depression, in patients with schizophrenia compared with the general population. We employed structural equation modeling (SEM) and latent mean analysis of major psychologic variables, including the stress associated with the COVID-19 outbreak, fear of infection, loneliness, and depression, in patients with schizophrenia compared with the general population Such multidimensional comparative analyses in patients with schizophrenia and the general population may provide basic data to establish specialized intervention strategies for people with schizophrenia. 3827.927 538 0.000 0.914 0.923 0.061 3855.707 559 0.000 0.920 0.922 0.060 3885.814 580 0.000 0.923 0.920 0.059 3893.612 584 0.000 0.922 0.916 0.059 df degree of freedom, CFI Comparative fit index, TLI Tucker-Lewis Index, RMSEA Root Mean Square Error of Approximation

RESULTS
DISCUSSION
METHODS
Korean Society of Traumatic Stress Studies
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call