Skip to content
naulon
Not checkedNot checked for notices yet.

Cross-lagged relationship between anxiety, depression, and sleep disturbance among college students during and after collective isolation

Congying Shi, Shujian Wang, Shujian Wang and 5 more

Frontiers in Public Health · 2022

doi:10.3389/fpubh.2022.1038862 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Object Repeated quarantine policies over the past 3 years have led to poor psychological consequences for the public. Previous studies have proved that the quarantine policy leaves individuals vulnerable to anxiety, depression, and insomnia, especially among college students. This study aims to explore whether psychological problems during isolation continue with the release of isolation. Methods Overall, 2,787 college students both answered a web-based survey during and after the closure management was lifted. The Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Youth Self-rating Insomnia Scale were measured. The cross-lagged path model was used to explore the influence of psychological impact during isolation on the individual after the release. Results We found that anxiety and sleep disturbance levels alleviated significantly after quarantine, except for depression. As expected, a bidirectional relationship exists between anxiety, depression, and sleep disturbance. Moreover, depression and sleep disturbance can predict post quarantine depression, sleep disturbance, and anxiety, yet anxiety cannot predict sleep disturbance afterward. Conclusion Timely and effective intervention for anxiety, depression, and insomnia during isolation is essential for individuals to repair themselves quickly after the release.

Abstract licence: CC BY

References48

  1. 29.
  2. 32.
  3. 33.
  4. 35.
  5. 38.
  6. 39.

42 more references, whose wording the paper’s licence keeps private.

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.