Table 3.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | |
---|---|---|---|---|---|---|---|---|---|---|---|
1. Age | 1 | ||||||||||
2. BMI | 0.20 ** | 1 | |||||||||
3. Cigarette smoking | −0.05 | −0.10 | 1 | ||||||||
4. Alcohol consumption | 0.00 | −0.03 | 0.11 | 1 | |||||||
5. Exercise | 0.11 | 0.05 | −0.06 | 0.05 | 1 | ||||||
6. Total vegetable intake | 0.14 * | 0.04 | −0.08 | −0.08 | 0.15 * | 1 | |||||
7. Plasma NOx | 0.17 * | −0.01 | −0.18 * | −0.03 | 0.25 ** | 0.21 ** | 1 | ||||
8. Job demands | −0.01 | 0.07 | 0.03 | 0.08 | −0.07 | 0.02 | −0.04 | 1 | |||
9. Job control | 0.11 | 0.13* | −0.04 | 0.02 | 0.11 | 0.06 | −0.04 | 0.14 * | 1 | ||
10. Job strain index | −0.11 | −0.04 | 0.07 | 0.05 | −0.13 * | −0.02 | 0.02 | 0.64 ** | −0.66 ** | 1 | |
11. Fatigue | −0.05 | −0.03 | 0.03 | 0.01 | −0.20 ** | −0.20 ** | −0.16 * | 0.42 ** | −0.07 | 0.34 ** | 1 |
a Spearman’s correlation coefficients were calculated for the correlations that included variables of cigarette smoking, alcohol consumption, and exercise. For the other correlations, Pearson’s correlation coefficients were calculated; * p < 0.05; ** p < 0.001.