Prevalence of Loneliness in Older Adults: A Scoping Review

Author:

Schroyen S.1ORCID,Janssen N.2ORCID,Duffner L. A.2ORCID,Veenstra M.2ORCID,Pyrovolaki E.1ORCID,Salmon E.34ORCID,Adam S.1ORCID

Affiliation:

1. Psychology of Aging Unit, University of Liège, Liège, Belgium

2. Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands

3. GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium

4. Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium

Abstract

Objectives. To review the prevalence of loneliness (during/after COVID-19) in older people. Design. Scoping review using Medline and PsycInfo for worldwide prevalence estimates (white published literature search) and Google for prevalence data inside the Euregio Meuse-Rhine (grey literature). Setting. Worldwide prevalence estimates and a focus on the Euregio Meuse-Rhine. Participants. Papers published between 2016 and 2022 and a mean age of minimum of 65 years. Measurements. Prevalence estimates for older people. Results. The white literature search yielded 37 articles. Before the onset of the COVID-19 pandemic, loneliness estimates were the highest in Nigeria (46%) and the lowest in Australia (5%) (mean prevalence was 25.6%). Loneliness was reported to be higher in specific populations, for example, people living in specific communities such as senior housing communities or with impairments, than in the general population, with a mean prevalence estimate of 47.8%. During COVID-19, the prevalence of loneliness was higher than that before the pandemic: we observed a mean prevalence of 39.4%, in comparison to 25.6 before COVID-19. The grey literature search showed that, compared to Belgium and the Netherlands (13.5% and 36.5%, respectively), loneliness estimates were the lowest in Germany, with a mean prevalence of 7.7%. Conclusion. Large international differences in the prevalence of loneliness were observed between countries and populations studied. Several hypotheses could explain such differences, including sociocultural or historical-political characteristics. Without surprise, the pandemic and associated measures were linked to a higher level of loneliness. Furthermore, recommendations for addressing loneliness, including interventions, are discussed.

Funder

Interreg

Publisher

Hindawi Limited

Subject

Public Health, Environmental and Occupational Health,Health Policy,Sociology and Political Science,Social Sciences (miscellaneous)

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