Queen's University researcher Louise de Lannoy has determined a short, five minute treadmill test can predict the risk of mortality. This risk is determined independent of other traditional risk factors including age, weight, blood pressure, smoking status, diabetes, cholesterol, and family history.

Overwhelming evidence has shown a maximal fitness test is a reliable way to determine the risk of mortality. This established test, performed on a treadmill where the maximum incline is steadily increased until the participant cannot continue, isn't commonly used in clinical settings as it's time-intensive and uncomfortable for the patient.

Ms. de Lannoy's findings show a shorter treadmill test, called a submaximal fitness test, predicts the risk of premature death similarly to the maximal test. This is an important finding as it provides the clinician with options for assessing the health and risk of their patient.

"This study shows that the risk association with submaximal fitness is similar to that of maximal fitness, which suggests that the submaximal fitness test, which requires less than one-third the time of a maximal fitness test and does not require the patient to reach maximal exertion, is a pragmatic alternative to maximal fitness tests for assessing mortality risk in clinical settings," explains Ms. de Lannoy. "Finally, submaximal fitness predicted mortality risk above and beyond traditional risk factors, therefore this test provides information that influences and enhances patient management."

To determine the results, the research team used data from a large study of 6,106 men and women, followed from 1974-2002 to look at change in submaximal test performance over time and its relationship to risk of premature death.

Other members of the research team included Mei Sui (University of South Carolina), Carl J Lavie (John Ochsner Heart and Vascular Institute), Steven N Blair (University of South Carolina), and Robert Ross (Queen's).

The study was published in Mayo Clinic Proceedings.