Modeling Health Trajectories Across the Life Course: A Multistate Analytical Framework

Abstract

Understanding how health evolves across the life course is essential for developing effective public health policies and healthcare interventions. This study presents a multistate analytical framework for modeling health trajectories from childhood through old age, recognizing that individuals transition among multiple health states over time. Unlike traditional approaches that examine health outcomes at a single point, the proposed framework captures the dynamic nature of health by incorporating transitions between healthy, diseased, disabled, and deceased states. Using longitudinal data and multistate statistical models, the framework estimates transition probabilities, health expectancy, and the impact of demographic, socioeconomic, and behavioral factors on health pathways. The approach enables researchers to identify critical periods where interventions can have the greatest long-term benefits. Furthermore, it provides insights into the cumulative effects of risk factors and protective influences throughout the lifespan. The framework supports more accurate predictions of population health trends and healthcare needs. By integrating life-course perspectives with advanced multistate modeling techniques, the study contributes to a deeper understanding of health inequalities, aging processes, and disease progression. The findings highlight the value of longitudinal health analysis for informing evidence-based decision-making and promoting healthier aging across diverse populations.