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COVID-19 Social Distancing Measures and Loneliness Among Older Adults

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  • Eun Young Choi
  • Mateo P Farina
  • Qiao Wu
  • Jennifer Ailshire

Abstract

ObjectivesIn response to the coronavirus disease 2019 (COVID-19) pandemic, older adults are advised to follow social distancing measures to prevent infection. However, such measures may increase the risk of loneliness. The current study aimed to investigate (a) whether social distancing measures, particularly limiting close social interactions, are associated with loneliness among older adults, and (b) whether the association between social distancing measures and loneliness is moderated by sociodemographic characteristics.MethodData were from the fourth wave (April 29 to May 26, 2020) of the nationally representative Understanding America Study COVID-19 Survey. We used data on adults 50 years or older (N = 3,253). Logistic regression models of loneliness were performed. Five indicators of social distancing measures were considered: (a) avoiding public spaces, gatherings, or crowds; (b) canceling or postponing social activities; (c) social visits; (d) no close contact (within 6 feet) with people living together; and (e) with people not living together.ResultsCancelling or postponing social activities and avoiding close contact with people living together were associated with 33% (odds ratio [OR] = 1.33, confidence interval [CI] = 1.06−1.68, p

Suggested Citation

  • Eun Young Choi & Mateo P Farina & Qiao Wu & Jennifer Ailshire, 2022. "COVID-19 Social Distancing Measures and Loneliness Among Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 77(7), pages 167-178.
    • Handle: RePEc:oup:geronb:v:77:y:2022:i:7:p:e167-e178.
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    File URL: http://hdl.handle.net/10.1093/geronb/gbab009
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    Cited by:

    1. Barjaková, Martina & Garnero, Andrea & d’Hombres, Béatrice, 2023. "Risk factors for loneliness: A literature review," Social Science & Medicine, Elsevier, vol. 334(C).
    2. Hung Viet Nguyen & Haewon Byeon, 2022. "Explainable Deep-Learning-Based Depression Modeling of Elderly Community after COVID-19 Pandemic," Mathematics, MDPI, vol. 10(23), pages 1-10, November.

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