Table 2.
Multiple linear regression analysis for the association between serum vitamin C concentration and subjective vitality in the cross-sectional population (n = 214)
| Independent variables | Fatigue | Attention | ||||
|---|---|---|---|---|---|---|
| β (SE) | Standardized β | P | β (SE) | Standardized β | P | |
| Serum vitamin C concentration (μmol/L) | − 0.01 (0.01) | − 0.10 | 0.13 | 0.02 (0.01) | 0.21 | 0.003 |
| Women vs. men | 0.36 (0.36) | 0.08 | 0.31 | − 0.42 (0.33) | − 0.10 | 0.21 |
| Age (years) | 0.12 (0.04) | 0.21 | 0.003 | − 0.08 (0.04) | − 0.15 | 0.03 |
| BMI (kg/m2) | − 0.08 (0.05) | − 0.12 | 0.14 | 0.02 (0.05) | 0.04 | 0.64 |
| Smokers vs. non-smokers | 1.15 (0.60) | 0.13 | 0.06 | 0.25 (0.56) | 0.03 | 0.65 |
| High physical activity vs. lowa | − 0.08 (0.31) | − 0.02 | 0.81 | 0.09 (0.29) | 0.02 | 0.74 |
| Alcohol users vs. non-users | 0.05 (0.39) | 0.01 | 0.90 | 0.24 (0.36) | 0.05 | 0.51 |
R2 value for fatigue and attention was 0.79 and 0.07, respectively
aPhysical activities were categorized as low (< median) and high (≥ median)