Personal Social Networks of Community-Dwelling Oldest Old During the Covid-19 Pandemic-A Qualitative Study.

Jenni Kulmala, Elisa Tiilikainen, Inna Lisko, Tiia Ngandu, Miia Kivipelto, Alina Solomon
Author Information
  1. Jenni Kulmala: Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, Tampere, Finland.
  2. Elisa Tiilikainen: Department of Social Sciences, University of Eastern Finland, Kuopio, Finland.
  3. Inna Lisko: Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden.
  4. Tiia Ngandu: Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden.
  5. Miia Kivipelto: Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden.
  6. Alina Solomon: Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden.

Abstract

The COVID-19 pandemic and its related restrictions have affected the everyday life of older people. Advanced age is a significant predisposing factor for a more severe COVID-19 infection, increasing the risk for hospitalization and mortality. Even though restrictions have been, thus, well-grounded, they may also have had detrimental effects on the social well-being of older people. Personal networks and social activity are known protective factors against the premature decline in health and functioning, and it is widely acknowledged that social isolation increases feelings of loneliness, poor quality of life, and even the risk for diseases and disabilities among older adults. This qualitative study investigated changes in personal networks among community-dwelling oldest-old individuals (persons aged 80 and over) during the first and second waves of the COVID-19 pandemic in Finland. The data is part of the Cardiovascular Risk Factors, Aging, and Dementia (CAIDE85+) study, which is an ongoing large longitudinal population-based study in Finland. In this qualitative sub-study, we analyzed fifteen in-depth telephone interviews using directed content analyses and identified five types of changes in personal social networks during the pandemic. In type 1, all social contacts were significantly reduced due to official recommendations and fear of the virus. Type 2 included modified ways of being socially active i.e., by deploying new technology, and in type 3, social contacts increased during the lockdown. In type 4, personal social networks were changed unexpectedly or dramatically due to a death of a spouse, for example. In type 5, we observed stable social networks, which had not been affected by the pandemic. At an individual level, one person could have had different types of changes during the pandemic. These results highlight the heterogeneity of the oldest olds' personal social networks and changes related to them during the exceptional times of the COVID-19 pandemic. Social activity and personal networks play an important role in the well-being of the oldest old, but individual situations, needs, and preferences toward personal social networks should be taken into account when planning social activities, policies, and interventions.

Keywords

References

  1. Psychiatry Res. 2020 Dec;294:113514 [PMID: 33130511]
  2. Int Psychogeriatr. 2016 Apr;28(4):557-76 [PMID: 26424033]
  3. Aging Ment Health. 2021 Jul;25(7):1161-1164 [PMID: 33491474]
  4. Front Psychol. 2021 Jul 12;12:636062 [PMID: 34322051]
  5. PLoS One. 2017 Sep 28;12(9):e0185672 [PMID: 28957429]
  6. Gerontologist. 2021 Jan 21;61(1):36-47 [PMID: 32886764]
  7. Health Soc Care Community. 2020 Jan;28(1):116-126 [PMID: 31490616]
  8. Healthcare (Basel). 2021 Apr 01;9(4): [PMID: 33916054]
  9. J Aging Health. 2019 Jul;31(6):1002-1024 [PMID: 29291660]
  10. Front Psychiatry. 2021 Feb 12;12:624125 [PMID: 33643095]
  11. Syst Rev. 2017 Dec 19;6(1):259 [PMID: 29258596]
  12. Am J Public Health. 2015 May;105(5):1013-9 [PMID: 25790413]
  13. Gerontologist. 2021 Aug 13;61(6):888-896 [PMID: 33284972]
  14. J Happiness Stud. 2020 Oct 20;:1-20 [PMID: 33100896]
  15. Animals (Basel). 2021 Jun 22;11(7): [PMID: 34206286]
  16. J Psychiatr Res. 1975 Nov;12(3):189-98 [PMID: 1202204]
  17. Int Psychogeriatr. 2021 Nov;33(11):1207-1215 [PMID: 34176528]
  18. J Gerontol A Biol Sci Med Sci. 2021 Feb 25;76(3):e60-e67 [PMID: 33125043]
  19. JMIR Aging. 2021 Apr 12;4(2):e26474 [PMID: 33720839]
  20. Front Psychol. 2021 Sep 09;12:716428 [PMID: 34566798]
  21. JMIR Aging. 2020 May 7;3(1):e19007 [PMID: 32356777]
  22. PLoS One. 2021 Jun 17;16(6):e0253153 [PMID: 34138930]
  23. Gerontologist. 2021 Feb 23;61(2):240-250 [PMID: 33258898]
  24. Front Psychol. 2020 Oct 02;11:568907 [PMID: 33132977]
  25. Qual Health Res. 2005 Nov;15(9):1277-88 [PMID: 16204405]
  26. Soc Sci Med. 2021 Feb;270:113668 [PMID: 33497893]
  27. Gerontology. 2016;62(4):443-9 [PMID: 26539997]
  28. Int J Environ Res Public Health. 2020 Oct 28;17(21): [PMID: 33126634]
  29. BMC Geriatr. 2020 Jul 10;20(1):238 [PMID: 32650731]
  30. Psychol Aging. 2000 Jun;15(2):187-224 [PMID: 10879576]
  31. J Gerontol Soc Work. 2021 Sep;64(6):629-642 [PMID: 34042022]
  32. Qual Life Res. 2021 Aug 21;: [PMID: 34417963]
  33. BMC Public Health. 2020 Jan 23;20(1):99 [PMID: 31973695]
  34. Public Health Rep. 2021 Nov-Dec;136(6):754-764 [PMID: 34283657]
  35. Br J Health Psychol. 2021 May;26(2):505-524 [PMID: 33403782]
  36. Arch Gerontol Geriatr. 2005 Nov-Dec;41(3):223-33 [PMID: 15908025]
  37. PLoS Med. 2010 Jul 27;7(7):e1000316 [PMID: 20668659]
  38. Aging Ment Health. 2021 Jul;25(7):1206-1213 [PMID: 32091237]
  39. Health Soc Care Community. 2022 Jan;30(1):e67-e74 [PMID: 34028124]
  40. J Med Internet Res. 2021 Jun 4;23(6):e24712 [PMID: 34085942]
  41. Global Health. 2021 Apr 14;17(1):47 [PMID: 33853616]
  42. Perspect Psychol Sci. 2015 Mar;10(2):227-37 [PMID: 25910392]
  43. Age Ageing. 2021 Feb 26;50(2):341-346 [PMID: 33173949]
  44. J Aging Health. 2017 Mar;29(2):268-288 [PMID: 26944804]

MeSH Term

Aged
Aged, 80 and over
COVID-19
Communicable Disease Control
Humans
Independent Living
Pandemics
Quality of Life
SARS-CoV-2
Social Networking

Word Cloud

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