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<p>Mobility is a cornerstone of health and quality of life, particularly in older adults. Digital mobility outcomes (DMOs) from real-world walking data offer crucial insights into the functional status and early markers of mobility decline. This study provides reference values for walking activity, pace, rhythm, and gait bout-to-bout variability in community-dwelling older adults and evaluates the effects of age, sex, height, and weight on these parameters. Using data from 200 older adults (aged 65–94 years) from the InCHIANTI Study and applying the Mobilise-D computational pipeline, we analyzed real-world walking over a week. Significant differences by sex and age were found, with males showing higher walking activity in younger age groups (65–74 and 75–84 years) but not in the oldest group (85–94 years). Additionally, we observed non-linear trends in mobility metrics with age, indicating an accelerated reduction in mobility at certain age ranges. These findings underscore the importance of monitoring real-world walking data to pinpoint critical periods of mobility decline and guide targeted interventions. This work offers valuable benchmarks for clinical assessments and future research.</p>

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Walking into aging: real-world mobility patterns and digital benchmarks from the InCHIANTI Study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月5日

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  • Jose Albites-Sanabria,
  • Pierpaolo Palumbo,
  • Stefania Bandinelli,
  • Ilaria D’Ascanio,
  • Sabato Mellone,
  • Anisoara Paraschiv-Ionescu,
  • Arne Küderle,
  • Andrea Cereatti,
  • Silvia Del Din,
  • Felix Kluge,
  • Eran Gazit,
  • Carl-Philipp Jansen,
  • Laura Delgado-Ortiz,
  • Judith Garcia-Aymerich,
  • Lynn Rochester,
  • Jochen Klenk,
  • Luigi Ferrucci,
  • Clemens Becker,
  • Lorenzo Chiari,
  • Luca Palmerini

摘要

Mobility is a cornerstone of health and quality of life, particularly in older adults. Digital mobility outcomes (DMOs) from real-world walking data offer crucial insights into the functional status and early markers of mobility decline. This study provides reference values for walking activity, pace, rhythm, and gait bout-to-bout variability in community-dwelling older adults and evaluates the effects of age, sex, height, and weight on these parameters. Using data from 200 older adults (aged 65–94 years) from the InCHIANTI Study and applying the Mobilise-D computational pipeline, we analyzed real-world walking over a week. Significant differences by sex and age were found, with males showing higher walking activity in younger age groups (65–74 and 75–84 years) but not in the oldest group (85–94 years). Additionally, we observed non-linear trends in mobility metrics with age, indicating an accelerated reduction in mobility at certain age ranges. These findings underscore the importance of monitoring real-world walking data to pinpoint critical periods of mobility decline and guide targeted interventions. This work offers valuable benchmarks for clinical assessments and future research.