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Decrease in maximum paced walking speed predicts hospitalization in community-dwelling older people with

Tomoya Hirai1, Naoto Kamide2,3, Kyo Shigeta4

  • 1Department of Rehabilitation, Kitasato University Kitasato Institute Hospital, Minato-Ku, Tokyo, 108-8642, Japan. pt-hirait@hiroshima-u.ac.jp.

European Geriatric Medicine
|May 30, 2023
PubMed
Summary

Maximum walking speed decline predicts unexpected hospitalizations in disabled older adults. Monitoring changes over time in maximum walking speed is key for health management in this population.

Keywords:
AgedDisabled personsHospitalizationPrognosisWalking speed

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Area of Science:

  • Gerontology
  • Public Health
  • Biomedical Geriatrics

Background:

  • Walking speed is a known predictor of hospitalization in community-dwelling older adults.
  • Its predictive value for disabled older adults remains unclear.
  • Identifying reliable health indicators for disabled older populations is crucial.

Purpose of the Study:

  • To investigate the association between walking speed and unexpected hospitalizations in community-dwelling disabled older adults.
  • To determine if baseline walking speed or changes in walking speed over time are better predictors.
  • To assess the utility of maximum versus comfortable walking speed measurements.

Main Methods:

  • Ambulatory, community-dwelling adults aged 65+ with disabilities were recruited.
  • Comfortable and maximum walking speeds were measured at baseline and 3 months.
  • Cox regression analysis examined associations between walking speed (baseline and change) and hospitalization over 4 years.

Main Results:

  • Unexpected hospitalization occurred in 47 of 93 participants over 4 years.
  • A decrease in maximum walking speed over 3 months significantly predicted hospitalization (HR=2.53).
  • Neither baseline walking speed nor comfortable walking speed decrease predicted hospitalization.

Conclusions:

  • Single-timepoint walking speed measurements are insufficient for predicting hospitalization in disabled older adults.
  • Monitoring the change over time in maximum walking speed is a valuable indicator for health management.
  • Maximum walking speed decline serves as a significant predictor of unexpected hospitalizations in this demographic.