Analyzing the Evolution of Vision: A Methodological Framework Using Sequence Analysis

This communication proposes a methodological framework using sequence analysis (SA) to study the evolution of vision, focusing on how changes in vision develop over time and the influence of lifestyle factors on these changes following the principles of participatory action research (PAR). We aim to capture the natural progression of vision conditions and the potential impacts of non-medical interventions (thus excluding surgery, medical treatment, or even the use of glasses), such as vision coaching based on natural vision improvement techniques, habits, and lifestyle adjustments. In line with the principles of PAR, this approach allows for the active participation of individuals in the collection and evaluation of their own visual experiences.

Sequence analysis enables a holistic examination of individual vision histories, tracking changes in vision-related states over time. Our methodological approach captures patterns such as improvements, stability, or deterioration of vision, which can later be used to examine how these patterns are influenced by various factors, such as screen time, outdoor exposure, and relaxation practices. This communication explores the definition of these sequences and the different possibilities for incorporating various indicators of vision. Once defined, the calculation of sequence dissimilarities, followed by clustering algorithms, could allow us to identify common patterns and deviations in the evolution of vision health based on individuals’ self-assessment.