Social participation patterns and their associations with health and well-being for older adults.

Abstract

Older adults are at an elevated risk of adverse health effects associated with social isolation and loneliness. Social participation is considered a modifiable determinant of health and well-being and has been proposed as a means to reduce this risk. However, there is limited knowledge to date about patterns of social activities among older adults. Using two waves of the Swiss Household Panel, a latent class analysis is performed to obtain discrete social participation profiles of adults aged 60 and older. Descriptive statistics and regression methods are used to study group compositions and estimate associations with self-assessed health, negative and positive affect, and life satisfaction. Once individual time-constant characteristics are controlled for, the majority of the positive associations between social participation and health or well-being found in the pooled data becomes small and insignificant, which is indicative of self-selection into different activity profiles. The role of self-selection into social participation implies that the design of interventions targeting social participation in the older adult population should be tailored to their heterogeneous needs and preferences.