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Background <p>Digital mobility outcomes (DMOs) measured under real-world conditions allow for differentiated insights into mobility patterns of older adults. This study provides an advanced description of real-world walking in community-dwelling older adults and identifies correlates of walking amount, pattern and speed.</p> Methods <p>This cross-sectional study used baseline data from the SMART-AGE intervention trial with community-dwelling older adults (age ≥ 67&#xa0;years). Assessment procedures included one-week monitoring of real-world walking using a wearable device (Axivity AX6), clinical outcomes, and tablet-based questionnaires. DMOs describing the amount (steps, walking duration), pattern (e.g., number of walking bouts [WBs]) and pace (mean and 90th percentile [P90] walking speed) of real-world walking were extracted using a validated computational pipeline. Data were included with ≥ 12 h/day wear time on ≥ 3 days. Stepwise hierarchical linear mixed modelling examined associations between DMOs and sociodemographic correlates, environmental conditions, health status (Body Mass Index), locomotor capacity (Timed Up &amp; Go [TUG]), fall-related concerns (Short FES-I) and cognitive processing speed (Symbol Search Score).</p> Results <p>The final sample of 569 participants with a mean age of 75.0 ± 5.6&#xa0;years (52% women; 56% higher education) showed a mean walking activity of 11&#xa0;746 ± 5&#xa0;446 steps/day, 432.3 ± 153.8&#xa0;WBs&#xa0;/&#xa0;day in total, and a mean walking speed of 0.75 ± 0.13 m/s in longer (&gt; 30s) WBs. Age was consistently related to real-world walking across all DMOs, showing non-linear trends. We found sex-related patterns of walking, as women had more WBs in total but fewer longer (&gt; 30&#xa0;s) WBs than men. Body Mass Index and locomotor capacity were consistent predictors of walking across all DMOs (β = -0.08&#xa0;to—0.25, <i>p</i> &lt; 0.05).</p> Conclusion <p>This study provides detailed and novel insights into real-world walking in a highly active population of older adults, highlighting lower walking activity with increasing age and differences in activity patterns between men and women. Mobility data may serve as a reference for community-dwelling older adults and facilitate the identification of early changes in everyday mobility, thereby informing future mobility recommendations and preventive strategies.</p>

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Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年8月5日

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  • Tobias Eckert,
  • Katharina Gordt-Oesterwind,
  • Ann-Sophie Haas,
  • Melissa J. Boettinger,
  • Anna-Lena Schubert,
  • Meike Snijder-Steinhilber,
  • Hans-Werner Wahl,
  • Juergen M. Bauer,
  • Jochen Klenk,
  • Jose Albites–Sanabria,
  • Clemens Becker,
  • Carl-Philipp Jansen

摘要

Background

Digital mobility outcomes (DMOs) measured under real-world conditions allow for differentiated insights into mobility patterns of older adults. This study provides an advanced description of real-world walking in community-dwelling older adults and identifies correlates of walking amount, pattern and speed.

Methods

This cross-sectional study used baseline data from the SMART-AGE intervention trial with community-dwelling older adults (age ≥ 67 years). Assessment procedures included one-week monitoring of real-world walking using a wearable device (Axivity AX6), clinical outcomes, and tablet-based questionnaires. DMOs describing the amount (steps, walking duration), pattern (e.g., number of walking bouts [WBs]) and pace (mean and 90th percentile [P90] walking speed) of real-world walking were extracted using a validated computational pipeline. Data were included with ≥ 12 h/day wear time on ≥ 3 days. Stepwise hierarchical linear mixed modelling examined associations between DMOs and sociodemographic correlates, environmental conditions, health status (Body Mass Index), locomotor capacity (Timed Up & Go [TUG]), fall-related concerns (Short FES-I) and cognitive processing speed (Symbol Search Score).

Results

The final sample of 569 participants with a mean age of 75.0 ± 5.6 years (52% women; 56% higher education) showed a mean walking activity of 11 746 ± 5 446 steps/day, 432.3 ± 153.8 WBs / day in total, and a mean walking speed of 0.75 ± 0.13 m/s in longer (> 30s) WBs. Age was consistently related to real-world walking across all DMOs, showing non-linear trends. We found sex-related patterns of walking, as women had more WBs in total but fewer longer (> 30 s) WBs than men. Body Mass Index and locomotor capacity were consistent predictors of walking across all DMOs (β = -0.08 to—0.25, p < 0.05).

Conclusion

This study provides detailed and novel insights into real-world walking in a highly active population of older adults, highlighting lower walking activity with increasing age and differences in activity patterns between men and women. Mobility data may serve as a reference for community-dwelling older adults and facilitate the identification of early changes in everyday mobility, thereby informing future mobility recommendations and preventive strategies.