Abstract
This study empirically explored the activity profiles of Korean older adults by considering a wide range of activities simultaneously and further investigated the socioeconomic factors associated with activity profiles. Gender differences in activity profiles were examined in-depth. Latent class analysis (LCA) was used to identify activity profiles based on a nationally representative sample of older adults from the most recent two waves of the Korean Time Use Survey (n = 3034 for 2014 and n = 3960 for 2019). Multinomial logistic regression analysis was employed to further examine the factors associated with the activity profiles. The findings revealed four distinct activity groups, although there were differences in activity profiles between the two waves. Several sociodemographic factors, such as gender, age, assets and income, were significantly associated with the activity profiles. Findings from this study can inform policy makers seeking interventions that enhance the overall well-being of older adults through activity engagement.
Highlights
latent class analysis (LCA) was conducted to examine activity profiles based on a sample of Korean older adults
Since one of the main purposes of these analyses is to explore whether gender is associated with activity profiles from LCA, and female older adults were over-represented in Class 2, Class 2 (Housework–Passive for 2014 and Housework–Active for 2019) was utilized as the reference group
The findings from this study can inform policy-makers as they develop policies and programs to promote the well-being of older adults through activities
Summary
To empirically identify activity profiles, we utilized the Korean Time Use Survey (KTUS) 2014 and 2019. The KTUS includes a nationally representative sample of over. Questions included in the KTUS focus primarily on time use on a wide range of activities based on the time diary method. It is well known that the time diary method provides higher quality estimates of activities than surveys based on stylized questions about amounts of time [56,57]. The sample in the current study was restricted to older adults aged 65 or above. In the KTUS, each respondent was asked to fill out time diaries structured in 10-min intervals for two consecutive days. Considering potential differences between activities during weekdays and weekends, this study only included respondents who filled out time diaries on weekdays. The final sample sizes for the current analysis are 3034 for 2014 and 3960 for
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