| dc.description.abstract | Chronic Kidney Disease (CKD) is heavily influenced by daily human behaviors such as
hydration, dietary sodium intake, stress, sleep, physical exertion, and heat exposure yet
existing clinical and computational systems rarely capture their short-term physiological
impact on kidney stress. This systematic review synthesizes evidence from medical,
behavioral, and computational research to evaluate the need and feasibility of a
Behavior Kidney Interaction Model (BKIM), a formal framework that maps daily
behaviors to kidney stress mechanisms. Findings from 23 studies demonstrate strong
behavioral determinants of CKD, including circadian disruption, sedentary lifestyles,
smoking, dietary patterns, and environmental exposures. Existing systems for CKD
management such as digital decision support tools, agent-based simulations, and
AI driven prediction models provide valuable long term risk assessments but lack
mechanisms to represent behavior induced changes to renal perfusion, glomerular
pressure, or tubular workload. Technical literature reveals promising modelling
paradigms including rule-based systems, system dynamics, agent-based modeling,
and time series analysis. However, none integrate behavioral variables into real-time
physiological stress computation. This review identifies a significant scholarly gap as
the absence of an interpretable computational framework that unifies behavioral inputs
with short term kidney stress dynamics. The synthesis provides the conceptual and
empirical foundation for developing BKIM, positioning it as a novel, clinically relevant
model capable of supporting behavioral counselling, physiological simulation, and CKD
prevention especially in resource limited rural communities. | en_US |
