Related Experiment Video
Updated: Jun 7, 2025

Measurement of Lifespan in Drosophila melanogaster
Published on: January 7, 2013
Physical activity and life expectancy: a life-table analysis
Lennert Veerman1, Jakob Tarp2, Ruth Wijaya3
1Public Health & Economics Modelling Group, Griffith University School of Medicine and Dentistry, Gold Coast, Queensland, Australia l.veerman@griffith.edu.au.
Objective:
Low physical activity (PA) levels are associated with increased mortality. Improved measurement has resulted in stronger proven associations between PA and mortality, but this has not yet translated to improved estimates of the disease burden attributable to low PA. This study estimated how much low PA reduces life expectancy, and how much life expectancy could be improved by increasing PA levels for both populations and individuals.
Methods:
We applied a predictive model based on device-measured PA risk estimates and a life-table model analysis, using a life-table of the 2019 US population based on 2017 mortality data from the National Centre for Health Statistics. The participants included were 40+ years with PA levels based on data from the 2003-2006 National Health and Nutritional Examination Survey. The main outcome was life expectancy based on PA levels.
Results:
If all individuals were as active as the top 25% of the population, Americans over the age of 40 could live an extra 5.3 years (95% uncertainty interval 3.7 to 6.8 years) on average. The greatest gain in lifetime per hour of walking was seen for individuals in the lowest activity quartile where an additional hour's walk could add 376.3 min (~6.3 hours) of life expectancy (95% uncertainty interval 321.5 to 428.5 min).
Conclusion:
Higher PA levels provide a substantial increase in population life expectancy. Increased investment in PA promotion and creating PA promoting living environments can promote healthy longevity.
Related Concept Videos
Life Tables
Applications of Life Tables
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Assumptions of Survival Analysis
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...

