Mapping Urinary System Mortality: Environmental and Behavioral Markers of Disease-Specific Death Rates

Objective: This study aimed to analyze mortality trajectories and identify significant environmental and behavioral markers associated with bladder cancer, prostate cancer, and renal failure utilizing the SAS TRAJ procedure. Methods: Retrospective data from 2010 to 2019 were analyzed to model disease-specific mortality trajectories. Logistic Regression models were used to identify key environmental and lifestyle markers significantly associated with disease-specific mortality rates. Results: Three distinct clusters with unique mortality trajectories were identified for each disease. For bladder cancer, increased median air pressure, alcohol consumption, and smoking were significantly associated with higher mortality, while environmental variability appeared protective. Similar associations were found for prostate cancer, with second-hand smoke exposure at home also identified as a significant marker. Renal failure mortality was likewise linked to alcohol use and smoking, with additional associations observed with environmental markers such as air quality. Conclusion: Persistent lifestyle factors like alcohol use and smoking were common risk factors across all conditions. The inverse association between mortality and environmental variability indicates the potential importance of climate and environmental factors in disease outcomes. These findings suggest the need for targeted public health interventions and further research into the causal mechanisms underlying these associations.