Table 3. Multivariate linear regression for erythropoietin.
Men (n = 3,395) | Women (n = 3,382) | Interaction P-value | |||||
---|---|---|---|---|---|---|---|
Variable | β* | 95% Confidence interval | P-value | β* | 95% Confidence interval | P-value | |
Age (per 10 years) | 0.048 | 0.022 to 0.074 | <0.001 | -0.008 | -0.050 to 0.031 | 0.692 | 0.132 |
Waist circumference (cm) | 0.006 | 0.003 to 0.008 | <0.001 | 0.007 | 0.005 to 0.010 | <0.001 | 0.294 |
Premenopausal | - | - | - | 0.010 | -0.069 to 0.088 | 0.813 | - |
UAE (mg/24h)† | 0.010 | -0.008 to 0.028 | 0.262 | 0.016 | -0.007 to 0.040 | 0.179 | 0.328 |
Hs-C-reactive protein (mg/L)† | 0.008 | -0.009 to 0.024 | 0.371 | 0.010 | -0.006 to 0.026 | 0.236 | 0.419 |
eGFR (per 10mL/min/1.73m2) | 0.009 | -0.008 to 0.025 | 0.319 | -0.005 | -0.021 to 0.012 | 0.587 | 0.713 |
[Hemoglobin (g/dL)– 14.5]2 | 0.063 | 0.053 to 0.074 | <0.001 | 0.079 | -0.072 to 0.085 | <0.001 | 0.023 |
Glucose (mmol/L) | 0.038 | 0.017 to 0.058 | <0.001 | 0.029 | 0.005 to 0.053 | 0.017 | 0.866 |
Cholesterol (mmol/L) | -0.055 | -0.078 to -0.032 | <0.001 | -0.041 | -0.066 to -0.016 | 0.001 | 0.608 |
Smoking or quit <1 year | -0.078 | -0.131 to -0.024 | 0.004 | -0.058 | -0.112 to -0.003 | 0.038 | 0.529 |
Systolic blood pressure (per 5mmHg) | 0.001 | -0.007 to 0.009 | 0.893 | 0.014 | 0.006 to 0.022 | 0.001 | 0.058 |
Heart rate (per 5b.p.m.) | -0.008 | -0.020 to 0.004 | 0.168 | -0.005 | -0.018 to 0.008 | 0.454 | 0.367 |
Myocardial infarction | 0.055 | -0.050 to 0.160 | 0.303 | 0.114 | -0.089 to 0.317 | 0.271 | 0.756 |
Stroke | 0.063 | -0.193 to 0.320 | 0.628 | -0.107 | -0.384 to 0.171 | 0.451 | 0.414 |
Venous thromboembolism | 0.358 | 0.066 to 0.650 | 0.016 | -0.041 | -0.381 to 0.298 | 0.811 | 0.085 |
* The dependent variable erythropoietin was double log-transformed before included in the model. Therefore, a β of 1 should be interpreted as a doubling for each unit rise of the independent variable.
† Both the dependent and independent variables were double log-transformed before included in the model. Therefore, a β of 1 should be interpreted as a doubling for each doubling of the independent variable.
UAE = Urinary Albumin Excretion, eGFR = estimated Glomerular Filtration Rate.