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The impact of COVID-19 lockdown stringency on loneliness in five European countries

Author

Listed:
  • Juan Carlos Caro

    (uni.lu - Université du Luxembourg = University of Luxembourg = Universität Luxemburg)

  • Andrew E. Clark

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Conchita d'Ambrosio

    (uni.lu - Université du Luxembourg = University of Luxembourg = Universität Luxemburg)

  • Claus Vögele

    (uni.lu - Université du Luxembourg = University of Luxembourg = Universität Luxemburg)

Abstract

Rationale 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 unintended 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 estimate 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 lockdown 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.

Suggested Citation

  • Juan Carlos Caro & Andrew E. Clark & Conchita d'Ambrosio & Claus Vögele, 2022. "The impact of COVID-19 lockdown stringency on loneliness in five European countries," PSE-Ecole d'économie de Paris (Postprint) halshs-03957272, HAL.
  • Handle: RePEc:hal:pseptp:halshs-03957272
    DOI: 10.1016/j.socscimed.2022.115492
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    References listed on IDEAS

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    1. Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2021. "COVID-19, lockdowns and well-being: Evidence from Google Trends," Journal of Public Economics, Elsevier, vol. 193(C).
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    4. Deb Partha & Trivedi Pravin K., 2013. "Finite Mixture for Panels with Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 35-51, July.
    5. Lara, Elvira & Moreno-Agostino, Darío & Martín-María, Natalia & Miret, Marta & Rico-Uribe, Laura Alejandra & Olaya, Beatriz & Cabello, María & Haro, Josep Maria & Ayuso-Mateos, José Luis, 2020. "Exploring the effect of loneliness on all-cause mortality: Are there differences between older adults and younger and middle-aged adults?," Social Science & Medicine, Elsevier, vol. 258(C).
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    Cited by:

    1. Lepinteur, Anthony & Rebechi, Alessio & Clark, Andrew E. & D'Ambrosio, Conchita & Rohde, Nicholas & Vögele, Claus, 2024. "Loneliness during the COVID-19 Pandemic: Evidence from Five European Countries," IZA Discussion Papers 17223, Institute of Labor Economics (IZA).
    2. Barjaková, Martina & Garnero, Andrea & d’Hombres, Béatrice, 2023. "Risk factors for loneliness: A literature review," Social Science & Medicine, Elsevier, vol. 334(C).
    3. Mina Samangooei & Ralph Saull & Netta Weinstein, 2023. "Access to Nature Fosters Well-Being in Solitude," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    4. Rajeev K. Goel & Michael A. Nelson, 2023. "Aggressive COVID‐19 lockdown policies: What factors significantly drove them across nations?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2211-2222, June.

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