Physical fitness post VO2max -- a computational framework

TL;DR

This paper critiques the limitations of VO2max as a measure of fitness, proposing a new computational framework for personalized exercise prescription that considers complex physiological and psychological factors.

Contribution

It introduces a novel computational approach that models complex interdependencies affecting exercise adherence, moving beyond VO2max limitations.

Findings

Identifies fundamental gaps in current fitness measurement methods.

Proposes alternative frameworks for better individual-level insights.

Presents a validated model for personalized exercise recommendations.

Abstract

This paper critically examines the conceptual and methodological limitations underlying the current understanding and application of VO2max in exercise science and physical activity prescription. Despite the establishment of WHO guidelines on physical activity, population-level adherence remains low. A key contributing factor is the continued reliance on VO2max as a central measure of physical fitness - an index that represents statistical relationships within large populations that provides limited insight or utility at the individual level. The authors demonstrate that the intrinsic constraints of VO2max make it unsuitable for the development of precise computational models capable of informing individualized exercise prescription. The paper reviews fundamental principles linking health, fitness, and exercise intensity, identifying critical gaps in how these constructs are conceptualized and operationalized. In response, alternative theoretical and methodological frameworks are proposed to more accurately capture the complex interplay between physiological and psychological factors that determine exercise performance and adherence. Building on this conceptual foundation, the authors introduce a novel computational approach that mathematically models these complex interdependencies and the various variables that affect adherence outcomes. A comprehensive empirical research framework and corresponding methodologies for deriving the required model equations are presented. Successful empirical validation of this model could provide a transformative step toward personalized, adaptive training systems enhancing both the efficacy and long-term adherence of health-oriented exercise programs.