# Employing the X-Learner Algorithm to Evaluate the Intervention Effects of Physical Activity on Determinants of Elderly Mental Health

**Authors:** Seungmo Kim, Taeyeon Oh

PMC · DOI: 10.3390/healthcare13111319 · 2025-06-02

## TL;DR

This study shows that physical activity improves mental health in elderly people by reducing depression, stress, and suicidal thoughts.

## Contribution

The novelty lies in using the X-Learner algorithm to assess how physical activity and sedentary behavior affect elderly mental health.

## Key findings

- High- and moderate-intensity physical activity significantly reduces depression and stress in the elderly.
- Prolonged sedentary behavior negatively impacts mental health outcomes in older adults.
- Participation in physical activity is linked to lower suicidal ideation among the elderly.

## Abstract

(1) Objectives: This study aimed to investigate the intervention effects of physical activity and sedentary behavior on the relationship between various influencing factors and mental health outcomes in the elderly. (2) Methods: Complied data collected from a nationwide survey conducted between 2013 and 2022 were analyzed using the X-Learner algorithm to explore these relationships. (3) Results: The findings indicate that engagement in both high- and moderate-intensity physical activities leads to statistically significant improvements in depression, suicidal ideation, and stress levels compared to non-participation. (4) Conclusions: The study emphasizes the essential role of physical activity in enhancing the mental health of the elderly in South Korea, demonstrating that high- and moderate-intensity exercise can effectively reduce depression, suicidal thoughts, and perceived stress. It also highlights the detrimental effects of prolonged sedentary behavior on the mental health of older adults.

## Linked entities

- **Diseases:** depression (MONDO:0002050)

## Full-text entities

- **Diseases:** suicidal ideation (MESH:D001072), depression (MESH:D003866)

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Source: https://tomesphere.com/paper/PMC12154103