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Table 2 Stepwise logistic regression analyses of risk factors for incident CKD in the training population

From: Risk scores for predicting incident chronic kidney disease among rural Chinese people: a village-based cohort study

 Variablesβ-CoefficientOdd ratios (95% CI)P value
Simple clinical modelIntercept−6.168 < 0.001
Waist circumference0.0131.01 (1.00–1.03)0.045
Sex0.6861.99 (1.56–2.53)< 0.001
Education−0.5320.59 (0.43–0.80)0.001
Diabetes1.0422.83 (1.85–4.33)< 0.001
SBP0.0251.03 (1.02–1.03)< 0.001
Best-fit modelIntercept−5.530  
Sex0.6521.92 (1.50–2.45)< 0.001
Education−0.5160.60 (0.44–0.81)0.001
Diabetes0.9232.52 (1.64–3.86)< 0.001
SBP0.0251.03 (1.02–1.03)< 0.001
Triglycerides0.1751.19 (1.07–1.32)0.001
CRP0.0271.03 (1.01–1.05)0.011
Albumin-to-creatinine ratio0.0171.02 (1.00–1.03)0.030
  1. CKD Chronic kidney disease, SBP Systolic blood pressure, CRP C-reactive protein, CI Confidence interval