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Walking Pace Tops Simple Health Measures for Predicting Death Risk

The findings point to a low-cost way to refine risk scores for people with long-term conditions.

Overview

  • Researchers at the University of Leicester analyzed data from 407,569 UK Biobank participants and found that self-reported walking pace was the strongest single predictor of death.
  • In participants with existing health conditions, replacing blood pressure and cholesterol with walking pace improved the model’s accuracy and moved more people into the right risk category.
  • Using all five simple measures together improved prediction further in these groups.
  • The five measures were walking pace, handgrip strength, resting heart rate, sleep duration, and leisure-time physical activity, which are quick to collect in clinics and surveys.
  • The peer-reviewed study appears in Mayo Clinic Proceedings and was supported by NIHR Leicester BRC, the MRC iCASE program, and RGA, with insurers highlighting potential use for risk assessment.