Association Between Personal Activity Intelligence and Mortality: Population-Based China Kadoorie Biobank Study

Area of Science:

• Cardiovascular Health
• Public Health
• Exercise Physiology

Background:

• Personal Activity Intelligence (PAI) is a novel metric translating heart rate during physical activity into a weekly score.
• Understanding physical activity's impact on mortality is crucial, especially in diverse populations like China.
• Lifestyle factors and physical activity patterns in China differ from high-income countries, necessitating specific research.

Purpose of the Study:

• To prospectively investigate the association between PAI scores and mortality in healthy Chinese adults.
• To assess the generalizability of PAI as a health metric across different populations.
• To determine the relationship between PAI and cardiovascular disease (CVD) and all-cause mortality.

Main Methods:

• Utilized data from 443,792 healthy adults in the China Kadoorie Biobank study.
• Estimated weekly PAI scores and categorized participants into four groups (0, ≤50, 51-99, ≥100).
• Employed Cox proportional hazard analyses to calculate adjusted hazard ratios (AHRs) for mortality outcomes.

Main Results:

• A weekly PAI score ≥100 was associated with lower CVD mortality (AHR 0.87 men, 0.84 women) compared to inactive individuals (PAI=0).
• Higher PAI scores (≥100) also correlated with reduced all-cause mortality (AHR 0.93 men, 0.93 women).
• Participants with PAI ≥100 gained an average of 2.7 years of life compared to the inactive group.

Conclusions:

• The PAI metric demonstrates an inverse association with CVD and all-cause mortality in healthy Chinese adults.
• PAI's effectiveness is highlighted across diverse races, ethnicities, and socioeconomic strata, suggesting broad applicability.
• This study reinforces the value of PAI as a universal indicator of physical activity and mortality risk.