Characterising associations between mental distress, mobility, and COVID-19 restrictions: a U.S. study

Abstract Large-scale epidemics are consistently associated with increased psychological distress and substantial changes in human mobility, yet the relationship between mental health responses and effective population mobility remains overlooked. During the COVID-19 pandemic, non-pharmaceutical interventions (NPIs) such as lockdowns and travel restrictions altered daily movement patterns while simultaneously affecting psychological well-being. Importantly, formal policy stringency alone does not fully capture realized mobility behavior, which also reflects spontaneous adaptation and adherence fatigue over time. In this study, we examine the association between self-reported mental distress and mobility recovery across the United States during the first wave of the COVID-19 pandemic. We combine state-level human mobility data derived from anonymized mobile phone records with large-scale survey data on self-reported anxiety and depression. Our analysis focuses on the U.S. states and territories from April 1 to September 1, 2020. Using fixed-effects regression models, we assess how variations in mental distress relate to deviations from pre-pandemic mobility levels, while controlling for reported COVID-19 mortality and the stringency of NPIs. We find a negative and statistically significant association between mental distress and mobility recovery: higher levels of self-reported anxiety and depression are associated with lower recovery of pre-pandemic mobility. These results indicate that psychological distress is associated with population mobility beyond what is explained by formal restrictions alone. Our findings highlight the relevance of mental health as a factor linked to behavioral responses during public health crises. Incorporating psychological well-being into the evaluation of mobility dynamics may inform more balanced public health strategies in future emergencies. Author summary During the COVID-19 pandemic, governments introduced restrictions on movement, such as stay-at-home orders and travel limits, to slow the spread of the virus. At the same time, many people experienced increased anxiety and depression. In this study, we ask whether changes in mental well-being were linked to how quickly people returned to their usual patterns of movement. Here, we focus on the first wave of the pandemic in the United States and combine mobility data and large-scale digital survey data to study the association between self-reported mental health indicators and effective mobility at the population level. By comparing states over time, we explore whether changes in mental distress were associated with changes in mobility, beyond what can be explained by public restrictions or reported deaths alone. We find that states with higher levels of reported anxiety and depression tended to show slower recovery toward normal mobility levels. This suggests that psychological well-being played an important role in shaping individual and collective responses to the pandemic, with implications for the design of future public health interventions.