The coronavirus pandemic has forced governments to implement a variety of different dynamic lockdown-stringency strategies in the last two years. Extensive lockdown periods could have potential unin- tended consequences on mental health, at least for at-risk groups. Objective: We present novel evidence on the heterogeneous direct and indirect effects of lockdown-stringency measures on individuals' perception of social isolation (i.e. loneliness) using panel data from five European countries (Germany, France, Spain, Italy and Sweden), which tracks changes in both in-person and remote social interactions between May 2020 and March 2021. Method: We combine data from the COME-HERE panel survey (University of Luxembourg) and the Oxford COVID-19 Government Response Tracker (OxCGRT). We implement a dynamic mixture model in order to es- timate the loneliness sub-population classes based on the severity of loneliness, as well as the evolution of social interactions. Results: While loneliness is remarkably persistent over time, we find substantial heterogeneity across individuals, identifying four latent groups by loneliness severity. Group membership probability varies with age, gender, education and cohabitation status. Moreover, we note significant differences in the impact of social interactions on loneliness by degree of severity. Older people are less likely to feel lonely, but were more affected by lock- down measures, partly due to a reduction in face-to-face interactions. On the contrary, the younger, especially those living alone, report high levels of loneliness that are largely unaffected by changes in the pandemic after lockdown measures were initially implemented. Conclusions: Understanding the heterogeneity in loneliness is key for the identification of at-risk populations that can be severely affected by extended lockdown measures. As part of public-health crisis-response systems, it is critical to develop support measures for older individuals living alone, as well as promoting continuous remote communication for individuals more likely to experience high levels of loneliness.

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30 December 2022

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Social Science and Medicine 3142022

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DOI: 10.1016/j.socscimed.2022.115492

https://www.sciencedirect.com/science/article/pii/S0277953622007985

This Journal article is published under the centre's Community Wellbeing programme.