# Exploring social activity patterns among community-dwelling older adults in South Korea: a latent class analysis

**Authors:** Jiyoung Shin, Hun Kang, Seongmi Choi, JiYeon Choi

PMC · DOI: 10.1186/s12877-024-05287-5 · BMC Geriatrics · 2024-08-21

## TL;DR

This study identifies different social activity patterns among older adults in South Korea and finds that those with minimal social engagement are more likely to experience depressive symptoms.

## Contribution

The study introduces a novel application of latent class analysis to identify distinct social activity patterns and their mental health implications in older adults.

## Key findings

- Four distinct social activity patterns were identified, with the 'minimal in both digital and in-person' group showing significantly higher depressive symptoms.
- Younger age, living in multi-generational households, and higher digital literacy were associated with more active social engagement patterns.
- Interventions targeting digital literacy and physical activity may help reduce depressive symptoms by increasing social engagement.

## Abstract

With the trend of digitalization, social activities among the older population are becoming more diverse as they increasingly adopt technology-based alternatives. To gain a comprehensive understanding of social activities, this study aimed to identify the patterns of digital and in-person social activities among community-dwelling older adults in South Korea, examine the associated factors, and explore the difference in depressive symptoms by the identified latent social activity patterns.

Data were extracted from a nationwide survey conducted with 1,016 community-dwelling older adults (mean age 68.0 ± 6.5 years, 47.8% male). The main variables assessed were digital social activities (eight items), in-person social activities (six items), and depressive symptoms (20 items). Data were analyzed using latent class analysis, multinomial logistic regression, and multiple linear regression.

We identified four distinct social activity patterns: “minimal in both digital and in-person” (22.0%), “moderate in both digital and in-person” (46.7%), “moderate in digital & very high in in-person” (14.5%), and “high in both digital and in-person” (16.8%). Younger age, living in multi-generational households, and higher digital literacy were associated with a higher likelihood of being in the “moderate in both digital and in-person” than the “minimal in both digital and in-person” group. Younger age, male, living in multi-generational households, residing in metropolitan areas, no dependency on IADL items, doing daily physical exercise, and higher digital literacy were associated with a higher likelihood of being in the “moderate in digital & very high in in-person” than the “minimal in both digital and in-person” group. Younger age, living in multi-generational households, no dependency on IADL items, doing daily physical exercise, and higher digital literacy were associated with a higher likelihood of being in the “high in both digital and in-person” than the “minimal in both digital and in-person” group. Depressive symptoms were significantly higher in the group with minimal engagement in both digital and in-person activities, compared to other three groups.

This study highlights distinct patterns of social activities among Korean community-dwelling older adults. Since older adults with minimal social activity engagement can be more vulnerable to depressive symptoms, interventions that address modifiable attributes, such as supporting digital literacy and facilitating physical activity of older adults, could serve as potential strategies to enhance their social activity engagement and, consequently, their mental well-being.

## Full-text entities

- **Diseases:** Depressive symptoms (MESH:D003866)

## Full text

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## References

11 references — full list in the complete paper: https://tomesphere.com/paper/PMC11340088/full.md

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Source: https://tomesphere.com/paper/PMC11340088