Table 2.
Log (vitamin B6 in nmol/L) |
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---|---|---|---|---|
Model 1b |
Model 2c |
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Independent variables | b (SE) | P | b (SE) | P |
Age (years × 10) | −0.042 (0.006) | <0.0001 | −0.036 (0.006) | <0.0001 |
Square root of alcohol intake | 0.012 (0.004) | 0.001 | 0.013 (0.004) | 0.001 |
Log(β-carotene intake in μg/day) | 0.194 (0.048) | <0.0001 | 0.191 (0.048) | <0.0001 |
Log(vitamin B6 intake in mg/day) | 0.256 (0.126) | 0.042 | 0.220 (0.126) | 0.079 |
Log(α-tocopherol in μmol/L) | 0.296 (0.071) | <0.0001 | 0.258 (0.071) | <0.0001 |
Log(folate in nmol/L) | 0.132 (0.036) | <0.0001 | 0.108 (0.037) | 0.004 |
Log(vitamin B12 in pmol/L) | 0.109 (0.035) | 0.002 | 0.083 (0.036) | 0.022 |
Albumin (mg/dL) | 0.180 (0.029) | <0.0001 | 0.179 (0.029) | <0.0001 |
Log(CRP in mg/L) | −0.116 (0.020) | <0.0001 | −0.123 (0.018) | <0.0001 |
Log(IL-6r in ng/L) | −0.119 (0.036) | 0.001 | −0.117 (0.036) | 0.001 |
In the multiple linear regression analysis, circulating vitamin B6 (serum concentrations) was used as the dependent variable and age, sex, serum creatinine, serum albumin, smoking habits, total energy intake, inflammatory markers, nutrient intakes, plasma Hcy concentrations, and serum vitamin concentrations were used as covariates. In the final regression model, all variables not significantly and independently associated with serum vitamin B6 concentrations were removed through backward selection method.
Model 1 included age; sex; serum creatinine and albumin; total energy intake; smoking habits; folate, vitamin B6, retinol, β-carotene, vitamin C, vitamin E, and alcohol intakes; circulating concentrations of vitamin B12, folate, α-tocopherol, γ-tocopherol, CRP, IL-6, IL-1 receptor agonist, and IL-6r; and leukocyte count as covariates.
Model 2 included the same covariates as model 1 plus plasma Hcy concentrations.