Psychological distress associated with the COVID-19 lockdown: A two-wave network analysis.

ABSTRACT:

Background

Although preliminary research has evidenced negative psychological consequences of the COVID-19 pandemic among the general population, little research has been carried out examining the interplay among the broader dimensions and correlates of individual distress. Via network analysis, the current study investigated the pathways that underlie some components of psychological distress and their changes over time (during and post COVID-19-related lockdown).

Methods

1,129 adult participants (79.1% women) completed a two-wave online survey during and after the lockdown, and reported on variables such as depression, anxiety, stress, fear of COVID, intolerance of uncertainty, emotion regulation and social support. The networks were estimated via Gaussian Graphical Models

SUBMITTER: Di Blasi M 

PROVIDER: S-EPMC8771473 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature