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Comparison of R-squared and confidence interval values between the main models and sensitivity analyses shows that models using cross-correlation lag structures, while controlling for health expenditure, produced higher R-squared values and tighter confidence intervals than those using geometric lag structures or models that did not control for health expenditure (please see Appendix Tables A2A4 for details)

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3.3 Determination of clinical variables associated with serum uric acid In male subjects, serum uric acid was associated with younger age, alcohol intake, higher DBP, higher BMI, lower fasting glucose, higher BUN, and higher creatinine (Table 3)