IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-03957272.html
   My bibliography  Save this paper

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," Post-Print halshs-03957272, HAL.
  • Handle: RePEc:hal:journl:halshs-03957272
    DOI: 10.1016/j.socscimed.2022.115492
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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).
    2. 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).
    3. 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.
    4. Bu, Feifei & Steptoe, Andrew & Fancourt, Daisy, 2020. "Loneliness during a strict lockdown: Trajectories and predictors during the COVID-19 pandemic in 38,217 United Kingdom adults," Social Science & Medicine, Elsevier, vol. 265(C).
    5. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Costa-Font, Joan & Knapp, Martin & Vilaplana-Prieto, Cristina, 2023. "The ‘welcomed lockdown’ hypothesis? Mental wellbeing and mobility restrictions," LSE Research Online Documents on Economics 115323, London School of Economics and Political Science, LSE Library.
    2. García-Prado, Ariadna & González, Paula & Rebollo-Sanz, Yolanda F., 2022. "Lockdown strictness and mental health effects among older populations in Europe," Economics & Human Biology, Elsevier, vol. 45(C).
    3. Arin, K. Peren & Lacomba, Juan A. & Lagos, Francisco & Moro-Egido, Ana I. & Thum, Marcel, 2022. "Exploring the hidden impact of the Covid-19 pandemic: The role of urbanization," Economics & Human Biology, Elsevier, vol. 46(C).
    4. Joan Costa-Font & Martin Knapp & Cristina Vilaplana-Prieto, 2023. "The ‘welcomed lockdown’ hypothesis? Mental wellbeing and mobility restrictions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(5), pages 679-699, July.
    5. 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).
    6. Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2021. "The effects of in-utero exposure to influenza on mental health and mortality risk throughout the life-course," Economics & Human Biology, Elsevier, vol. 43(C).
    7. Foliano, Francesca & Tonei, Valentina & Sevilla, Almudena, 2024. "Social restrictions, leisure and well-being," Labour Economics, Elsevier, vol. 87(C).
    8. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    9. Silverio-Murillo, Adan & Hoehn-Velasco, Lauren & Rodriguez Tirado, Abel & Balmori de la Miyar, Jose Roberto, 2021. "COVID-19 blues: Lockdowns and mental health-related google searches in Latin America," Social Science & Medicine, Elsevier, vol. 281(C).
    10. Feld, Jan & Salamanca, Nicolás & Zölitz, Ulf, 2019. "Students are almost as effective as professors in university teaching," Economics of Education Review, Elsevier, vol. 73(C).
    11. Hector Espinoza & Stefan Speckesser, 2019. "A Comparison of Earnings Related to Higher Level Vocational/Technical and Academic Education," National Institute of Economic and Social Research (NIESR) Discussion Papers 502, National Institute of Economic and Social Research.
    12. Rashid Javed & Mazhar Mughal, 2019. "Have a Son, Gain a Voice: Son Preference and Female Participation in Household Decision Making," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2526-2548, December.
    13. Bradley Hardy & Timothy Smeeding & James P. Ziliak, 2018. "The Changing Safety Net for Low-Income Parents and Their Children: Structural or Cyclical Changes in Income Support Policy?," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 189-221, February.
    14. Stella Min & Miles G. Taylor, 2018. "Racial and Ethnic Variation in the Relationship Between Student Loan Debt and the Transition to First Birth," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 165-188, February.
    15. Jain, Apoorva & Peter, Klara Sabirianova, 2017. "Limits to Wage Growth: Understanding the Wage Divergence between Immigrants and Natives," IZA Discussion Papers 10891, Institute of Labor Economics (IZA).
    16. Takeshima, Hiroyuki & Hatzenbuehler, Patrick L. & Edeh, Hyacinth O., 2020. "Effects of agricultural mechanization on economies of scope in crop production in Nigeria," Agricultural Systems, Elsevier, vol. 177(C).
    17. Frijters, Paul & Johnston, David W. & Knott, Rachel & Torgler, Benno, 2021. "Resilience to Disaster: Evidence from Daily Wellbeing Data," IZA Discussion Papers 14220, Institute of Labor Economics (IZA).
    18. Franziska Gassmann & Bruno Martorano & Jennifer Waidler, 2022. "How Social Assistance Affects Subjective Wellbeing: Lessons from Kyrgyzstan," Journal of Development Studies, Taylor & Francis Journals, vol. 58(4), pages 827-847, April.
    19. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    20. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-03957272. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.