Related Experiment Video
Updated: Oct 14, 2025

08:56
Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
14.0K
Walking Speed and Mortality: An Updated Systematic Review
Irene Rosmaninho1, Pedro Ribeirinho-Soares1, José Pedro L Nunes1
1From the Faculdade de Medicina da Universidade do Porto, and the Centro Hospitalar Universitário São João, Porto, Portugal.
Southern Medical Journal
|November 3, 2021
Summary
Slow walking speed (WS) is a consistent predictor of mortality. This systematic review confirms WS as a valuable tool for improving patient healthcare outcomes and risk assessment.
Area of Science:
- Gerontology
- Epidemiology
- Clinical Medicine
Background:
- Walking speed (WS) is a readily measurable physiological indicator.
- Previous studies suggest an association between slower WS and increased mortality risk.
Purpose of the Study:
- To systematically review and update evidence on the association between slow walking speed and all-cause mortality.
- To evaluate the utility of WS as a predictor in clinical practice.
Main Methods:
- Systematic review of published literature.
- Searches conducted on PubMed and ISI Web of Knowledge databases.
- Inclusion of 61 articles representing 120,838 patients and over 25,148 deaths.
Main Results:
- Consistent association found between slower walking speed and increased mortality from all causes.
- Follow-up durations in included studies ranged from 2 to 21 years.
- Data synthesis from 61 studies confirmed WS as a significant mortality predictor.
Conclusions:
- Walking speed is a reliable and continuous predictor of mortality.
- Supports the integration of WS measurement into routine clinical practice for enhanced healthcare.
- WS offers a simple yet effective tool for patient risk stratification.
Related Concept Videos
Bias in Epidemiological Studies
779
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
779
Actuarial Approach
151
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
151

