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Dataset Information

Profiles of socially isolated community-dwelling older adults during the COVID-19 pandemic: A latent class analysis.


ABSTRACT:

Objective

To identify different profiles of socially isolated older adults during the first wave of COVID-19 in Quebec, Canada.

Study design

Cross-sectional data were obtained through a telehealth socio-geriatric risk assessment tool, ESOGER, administered to adults aged 70 years or more between April and July 2020 in Montreal, Canada.

Measures

Those living alone with no social contacts in the last few days were considered socially isolated. Latent class analysis was performed to identify profiles of socially isolated older adults based on: age, sex, polypharmacy, use of home care, use of a walking aid, recall of current year/month, anxiety level (scale 0-10), and need for follow-up from a healthcare provider.

Results

Three-hundred and eighty (380) older adults

SUBMITTER: Sourial N 

PROVIDER: S-EPMC9941310 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature