Analysis of Multivariate Latent Growth Model of Social Activity, Health Status, and Depression in the Elderly

The current study utilized latent growth model to examine how social activity, health status, and depression in the elderly changed over time, and how these changes were related across time. We used data from the 4, 5, and 6 years of the Korean Longitudinal Study of Aging (KLoSA) of the Korea Employment Information Service. The subjects of the analysis were multivariate latent growth model analysis of the effects of social activities on subjective health status and depression in 2016 among the elderly aged 60 to 75 years in 2012. The average age of 3,303 in 2012 was 67.36, the average age of 3,266 in 2014 was 69.36, and the average of 3,011 in 2016 was 72.36. The results showed that over time, the subjective state of health of the elderly decreases, and over time, depression Increase linearly. The social activity did not change over time. The results of the analysis of the model of change in social activity, subjective health status and depression are related to the positive effect of social activity on subjective health status and to lower depression in the future. Based on the results of the study, the practical implications of the social activities that positively affect the subjective health status and depression of the elderly and the practical measures for the social participation program of the elderly were discussed.