[Lifestyle-integrated functional exercise for fall prevention : How and why do walking characteristics change?] / Lebensstilintegriertes funktionelles Training zur Sturzprävention : Wie und warum verändert sich das Gehverhalten?

BACKGROUND: The lifestyle-integrated functional exercise (LiFE) program has been shown to increase physical activity. It remains unclear, however, how these changes translate into long vs. short walking episodes. OBJECTIVE: The aim of this work was to investigate changes in short vs. long walking episodes between baseline and 6­month follow-up and to determine which factors are associated with these changes. MATERIAL AND METHODS: This was a two-arm randomized noninferiority study with 309 older adults (mean age 78.7 ± 0.3 years; 73.5% female) at risk of falling who exercised either in a group (gLiFE; n = 153) or individually (LiFE; n = 156). Walking episodes were measured using activPAL 4micro sensors: a distinction was made between walking episodes < 10s, < 20s, and > 60 s. Changes in walking episodes between baseline and 6­month follow-up were analyzed, including calculation of effect sizes (Cohen's d). Determinants of changes in the walking episodes were analyzed using multiple regression. RESULTS: The walking episodes < 10s and < 20 s showed a significant increase in both intervention groups but not for > 60 s. The overall daily walking duration and average steps per day had an influence on changes in the walking episodes between baseline and 6 months. Parameters of objective and subjective function explained a very small but significant amount of the variance. CONCLUSION: The LiFE program seems to work on a behavioral rather than on a functional level. By accumulating short walking episodes, large gains in physical activity can potentially be achieved. This can be of health-promoting benefit especially for persons living in institutional settings or for those who are cautious or even anxious to undertake longer walking episodes (e.g., outdoors).

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes.

Physical mobility is essential to health, and patients often rate it as a high-priority clinical outcome. Digital mobility outcomes (DMOs), such as real-world gait speed or step count, show promise as clinical measures in many medical conditions. However, current research is nascent and fragmented by discipline. This scoping review maps existing evidence on the clinical utility of DMOs, identifying commonalities across traditional disciplinary divides. In November 2019, 11 databases were searched for records investigating the validity and responsiveness of 34 DMOs in four diverse medical conditions (Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, hip fracture). Searches yielded 19,672 unique records. After screening, 855 records representing 775 studies were included and charted in systematic maps. Studies frequently investigated gait speed (70.4% of studies), step length (30.7%), cadence (21.4%), and daily step count (20.7%). They studied differences between healthy and pathological gait (36.4%), associations between DMOs and clinical measures (48.8%) or outcomes (4.3%), and responsiveness to interventions (26.8%). Gait speed, step length, cadence, step time and step count exhibited consistent evidence of validity and responsiveness in multiple conditions, although the evidence was inconsistent or lacking for other DMOs. If DMOs are to be adopted as mainstream tools, further work is needed to establish their predictive validity, responsiveness, and ecological validity. Cross-disciplinary efforts to align methodology and validate DMOs may facilitate their adoption into clinical practice.