id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-323616-53kksp5w	Wright, L.	What predicts adherence to COVID-19 government guidelines? Longitudinal analyses of 51,000 UK adults.	2020-10-21		.txt	text/plain	6774	380	50	We find evidence that increased confidence in government to tackle the pandemic is longitudinally related to higher compliance, but little evidence that factors such as mental health and wellbeing, worries about future adversities, and social isolation and loneliness are related to changes in compliance. Therefore, in this paper we use data from a weekly panel of 51,600 adults across twelve weeks of lockdown in the UK (01 April -22 June) to explore which factors out of a wide range drawn from the literature cited above were associated with self-reported adherence to government guidelines to tackle COVID-19. Our study presents a substantial advance on previous research by exploiting the longitudinal structure of our data to test for reverse causality and to account for time-invariant heterogeneity across individuals, and by using Random Intercept Cross-Lagged Panel Models (RI-CLPM) 42 to assess whether within-person changes in potential predictors of compliance are related to later changes in compliance, a question that is more consistent with a causal process 43 .	./cache/cord-323616-53kksp5w.txt	./txt/cord-323616-53kksp5w.txt