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 identified as socially isolated were analyzed, of whom 75.5 % were female and 56.6 % were over 85. Three classes were identified: Class 1 ("physically frail older females") had the highest proportion of polypharmacy, walking aid, and home care use. Class 2 ("anxious, relatively younger males") were predominantly males who used the least home care but had the highest anxiety levels. Class 3 ("seemingly well older females") had the highest proportion of females, lowest proportion of polypharmacy, lowest anxiety level, and none used a walking aid. Recall of current year/month was similar across the three classes.

Conclusions: This study found heterogeneity among socially isolated older adults during the first wave of the COVID-19 pandemic with varying levels of physical and mental health. Our findings may contribute to the development of targeted interventions to support this vulnerable population during and after the pandemic.

Keywords: Aging; COVID-19; Latent class analysis; Older adults; Social isolation.