Revisiting independent mobility and healthy aging connection using a double machine learning

Abstract

Introduction

The rapid aging of the population has placed significant pressure on medical resources and hindered healthy aging. Scholars highlight the critical link between independent mobility and healthy aging, as it enables older adults to actively engage in social and community life. While existing studies often assess independent mobility through driving ability, they tend to overlook the impact of other travel patterns, such as public transport and walking. Differences in commonly used travel patterns may shape older adults’ perceptions of independent mobility, thereby influencing its effect on healthy aging.

Methods

This paper utilizes Double Machine Learning to analyze the causal effects of independent mobility on healthy aging and explores the mediation role of social participation in this relationship.

Results

The findings show that independent mobility impacts healthy aging in multiple dimensions, with anxiety being the most significantly affected. Additionally, social activities, such as tai chi and square dancing, exhibit a statistically significant mediation effect.

Conclusion

These results provide valuable insights for policymakers, emphasizing the need to improve public transportation and pedestrian infrastructure while promoting social participation to enhance healthy aging among older adults.