Patient Characteristics: Walking Cadence and Mobility Outcomes for 213 Older Adults

213 participants from the Program to Improve Mobility in Aging (PRIMA) cohort trial were analyzed to evaluate walking cadence as a digital outcome measure. Change in median walking cadence predicted improvement in usual-pace gait speed with an AUC of 0.90 and identified a threshold of ≥3 steps/min. The data supports research into scalable, digitally measurable alternatives to in-person mobility assessments.

Use Cases

• Validate digital biomarkers for mobility interventions based on walking cadence data.
• Train logistic regression models to predict clinical responders based on cadence change thresholds.
• Compare the predictive power of cadence against traditional measures like gait speed and 6MWT distance.
• Assess the scalability of remote mobility monitoring in clinical trial design.

Strengths

• Includes data from 213 participants in a prospective cohort trial.
• Provides specific predictive performance metrics (AUC 0.90 for gait speed, 0.80 for 6MWT).
• Defines a clinically relevant threshold (≥3 steps/min increase) with sensitivity and specificity values.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data may reflect the specific population bias inherent to the PRIMA trial cohort.

Provenance

Source

Daniel S. Rubin via figshare.

Collection Method

Secondary analysis of the prospective Program to Improve Mobility in Aging (PRIMA) cohort trial.

Freshness

Last updated 2026-05-29 17:29:17; freshness should be verified.