Collective Resistance in Authoritarian Contexts: Insights from Individual, Group, and Institutional Research

Abstract

Population aging and the increasing burden of chronic diseases require analytical methods capable of capturing the dynamic nature of health over time. This study introduces a multistate framework for modeling health trajectories across the life course, allowing individuals to move among multiple health conditions, including wellness, chronic illness, disability, and death. The framework employs longitudinal observational data to estimate transition intensities and assess the influence of behavioral, environmental, and socioeconomic determinants on health outcomes. Results indicate that early preventive interventions substantially reduce the likelihood of adverse health transitions in later life. The proposed methodology enhances predictive accuracy and supports evidence-based healthcare planning by identifying critical periods where interventions yield the greatest benefits. The framework provides an effective tool for evaluating health policies and promoting sustainable healthcare systems.