OBJECTIVES: In older people, usual gait speed has been shown to independently predict mortality; however, less is known about whether usual gait speed is as informative in very old populations, in which prevalence of multimorbidity and disability is high. The aim of this study was to investigate if usual gait speed can independently predict all-cause mortality in very old people, and whether the prediction is influenced by dementia disorder, dependency in activities of daily living (ADL), or use of walking aids in the gait speed test. DESIGN: Prospective cohort study. SETTING: Population-based study in northern Sweden and Finland (the Umeå 85+/GERDA Study). PARTICIPANTS: A total of 772 participants with a mean age of 89.6 years, 70% women, 33% with dementia disorders, 54% with ADL dependency, and 39% living in residential care facilities. MEASUREMENTS: Usual gait speed assessed over 2.4 meters and mortality followed-up for 5 years. RESULTS: The mean ± SD gait speed was 0.52 ± 0.21 m/s for the 620 (80%) participants able to complete the gait speed test. Cox proportional hazard regression analyses adjusted for potential confounders were performed. Compared with the fastest gait speed group (≥ 0.64 m/s), the hazard ratio for mortality was for the following groups: unable = 2.27 (P < .001), ≤ 0.36 m/s = 1.97 (P = .001), 0.37 to 0.49 m/s = 1.99 (P < .001), 0.50 to 0.63 m/s = 1.11 (P = .604). No interaction effects were found between gait speed and age, sex, dementia disorder, dependency in ADLs, or use of walking aids. CONCLUSION: Among people aged 85 or older, including people dependent in ADLs and with dementia disorders, usual gait speed was an independent predictor of 5-year all-cause mortality. Inability to complete the gait test or gait speeds slower than 0.5 m/s appears to be associated with higher mortality risk. Gait speed might be a useful clinical indicator of health status among very old people.
OBJECTIVES: In older people, usual gait speed has been shown to independently predict mortality; however, less is known about whether usual gait speed is as informative in very old populations, in which prevalence of multimorbidity and disability is high. The aim of this study was to investigate if usual gait speed can independently predict all-cause mortality in very old people, and whether the prediction is influenced by dementia disorder, dependency in activities of daily living (ADL), or use of walking aids in the gait speed test. DESIGN: Prospective cohort study. SETTING: Population-based study in northern Sweden and Finland (the Umeå 85+/GERDA Study). PARTICIPANTS: A total of 772 participants with a mean age of 89.6 years, 70% women, 33% with dementia disorders, 54% with ADL dependency, and 39% living in residential care facilities. MEASUREMENTS: Usual gait speed assessed over 2.4 meters and mortality followed-up for 5 years. RESULTS: The mean ± SD gait speed was 0.52 ± 0.21 m/s for the 620 (80%) participants able to complete the gait speed test. Cox proportional hazard regression analyses adjusted for potential confounders were performed. Compared with the fastest gait speed group (≥ 0.64 m/s), the hazard ratio for mortality was for the following groups: unable = 2.27 (P < .001), ≤ 0.36 m/s = 1.97 (P = .001), 0.37 to 0.49 m/s = 1.99 (P < .001), 0.50 to 0.63 m/s = 1.11 (P = .604). No interaction effects were found between gait speed and age, sex, dementia disorder, dependency in ADLs, or use of walking aids. CONCLUSION: Among people aged 85 or older, including people dependent in ADLs and with dementia disorders, usual gait speed was an independent predictor of 5-year all-cause mortality. Inability to complete the gait test or gait speeds slower than 0.5 m/s appears to be associated with higher mortality risk. Gait speed might be a useful clinical indicator of health status among very old people.
Authors: Mette M Pedersen; Nicole E Holt; Laura Grande; Laura A Kurlinski; Marla K Beauchamp; Dan K Kiely; Janne Petersen; Suzanne Leveille; Jonathan F Bean Journal: J Gerontol A Biol Sci Med Sci Date: 2014-05-05 Impact factor: 6.053
Authors: Lei Yu; Patricia A Boyle; Sue E Leurgans; Robert S Wilson; David A Bennett; Aron S Buchman Journal: Neuroepidemiology Date: 2019-04-15 Impact factor: 3.282
Authors: Denise L Orwig; Danielle S Abraham; Marc C Hochberg; Ann Gruber-Baldini; Jack M Guralnik; Anne R Cappola; Justine Golden; Gregory E Hicks; Ram R Miller; Barbara Resnick; Michelle Shardell; Robert S Sterling; Rashmita Bajracharya; Jay Magaziner Journal: J Gerontol A Biol Sci Med Sci Date: 2022-07-05 Impact factor: 6.591
Authors: Tony Chao; Ingrid Parry; Alen Palackic; Soman Sen; Heidi Spratt; Ronald P Mlcak; Jong O Lee; David N Herndon; Steven E Wolf; Ludwik K Branski; Oscar E Suman Journal: Clin Rehabil Date: 2022-04-27 Impact factor: 2.884
Authors: Amelia J Anderson-Mooney; Frederick A Schmitt; Elizabeth Head; Ira T Lott; Kenneth M Heilman Journal: Brain Cogn Date: 2016-02-27 Impact factor: 2.310