Long-Term Impact of COVID-19 on Mental Health among the General Public: A Nationwide Longitudinal Study in China

Int J Environ Res Public Health. 2021 Aug 20;18(16):8790. doi: 10.3390/ijerph18168790.

Abstract

COVID-19 might have long-term mental health impacts. We aim to investigate the longitudinal changes in mental problems from initial COVID-19 peak to its aftermath among general public in China. Depression, anxiety and insomnia were assessed among a large-sample nationwide cohort of 10,492 adults during the initial COVID-19 peak (28 February 2020 to 11 March 2020) and its aftermath (8 July 2020 to 8 August 2020) using the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Insomnia Severity Index. We used generalized estimating equations and linear mixed models to explore factors associated with long-term mental health symptoms during COVID-19. During the five months, mental health symptoms remained consistently elevated (baseline 46.4%; follow-up 45.1%). Long-term depression, anxiety and insomnia were associated with several personal and work-related factors including quarantine (adjusted OR for any mental health symptoms 1.31, 95%CI 1.22-1.41, p < 0.001), increases in work burden after resuming work (1.77, 1.65-1.90, p < 0.001), occupational exposure risk to COVID-19 (1.26, 1.14-1.40, p < 0.001) and living in places severely affected by initial COVID-19 peak (1.21, 1.04-1.41, p = 0.01) or by a COVID-19 resurgence (1.38, 1.26-1.50, p < 0.001). Compliance with self-protection measures, such as wearing face masks (0.74, 0.61-0.90, p = 0.003), was associated with lower long-term risk of mental problems. The findings reveal a pronounced and prolonged mental health burden from the initial COVID-19 peak through to its aftermath in China. We should regularly monitor the mental health status of vulnerable populations throughout COVID-19.

Keywords: COVID-19; China; longitudinal; mental health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Anxiety / epidemiology
  • COVID-19*
  • China / epidemiology
  • Cross-Sectional Studies
  • Depression / epidemiology
  • Humans
  • Longitudinal Studies
  • Mental Health*
  • SARS-CoV-2