# Impact of Socioeconomic Status on Post-Fall Recovery in Older Adults: A 12-Month Follow-Up

**Authors:** Elisa-Marie Speckmann, Tania Zieschang, Tim Stuckenschneider

PMC · DOI: 10.1093/geroni/igaf122.2634 · 2025-12-31

## TL;DR

This study examines how socioeconomic factors like education and income affect recovery after falls in older adults over 12 months.

## Contribution

The study longitudinally evaluates the impact of education and income on post-fall recovery outcomes in older adults.

## Key findings

- Higher education is associated with better physical performance and cognitive function over time.
- Education is linked to improved life-space and activities of daily living in older adults recovering from falls.
- Income did not show significant associations with recovery outcomes in this study.

## Abstract

Falls in older adults can be a significantly disruptive event with long-term consequences. Given that socioeconomic status may influence health outcomes in this population, assessing its potential impact on post-fall recovery is essential. Therefore, we conducted a longitudinal study with data collection at three timepoints: four weeks, six months, and twelve months after a fall to assess the association of income and education with the progression of health outcomes. Data was obtained from the SeFallED study, which follows up on older adults, who were 60 years or older, attended the emergency department due to a fall, and were not admitted to the hospital. We calculated generalized least square models with first-order autoregressions to analyze the associations of education and income with physical performance, cognitive function, activities of daily living, life-space, and health-related quality of life. Age and sex were added as covariates. Over 12 months, we followed up with 267 individuals (mean age of 74.4±9 years, education: 10.2±1.9 years in school; income €2277.6±1806.3). Education was linked with physical performance (B = 0.25, p < 0.05), cognitive function (B = 0.70, p < 0.05), activities of daily living (B=-0.42, p < 0.05), and life-space (B = 2.59, p < 0.05). No further significant effects were found for either education or income. These findings show the need to account for disparities in education when designing secondary prevention programs for older adults. While education and income reflect socioeconomic differences, factors such as the subjective social status may offer additional insights and should be explored in future studies.

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Source: https://tomesphere.com/paper/PMC12761226