Unknown

Dataset Information

Trajectories of Compliance With COVID-19 Related Guidelines: Longitudinal Analyses of 50,000 UK Adults.


ABSTRACT:

Background

Governments have implemented a range of measures focused on changing citizens' behaviors to lower the transmission of COVID-19. While international data shows that compliance did decline from the start of the pandemic, average trends could mask considerable heterogeneity in compliance behaviors.

Purpose

To explore trajectories of compliance with COVID-19 guidelines.

Methods

We used longitudinal data on self-reported compliance from 50,851 adults in the COVID-19 Social Study collected across two waves of the pandemic in the UK (April 01, 2020-February 22, 2021). We modeled typical compliance trajectories using latent class growth analysis (LCGA) and used multinomial logistic regression to examine whether individual personality and demographic characteristics

SUBMITTER: Wright L 

PROVIDER: S-EPMC9278256 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature