Biomarkers of benzene exposure in urban workers: regression analyses
| B7-150 | SE | R2 | p Value | |
| Variable7-151: | ||||
| Dependent variable: ln blood benzene (after shift): | ||||
| Constant7-153 | 5.057 | 0.084 | ||
| ln TWA benzene exposure | 0.109 | 0.046 | 0.024 | 0.020 |
| Total | 0.024 | 0.020 | ||
| Variable7-152: | ||||
| Dependent variable: ln TMA (after shift): | ||||
| Constant7-153 | 4.457 | 0.146 | ||
| Smoke | 0.512 | 0.146 | 0.065 | 0.001 |
| Sex | −0.539 | 0.156 | 0.053 | 0.001 |
| Total | 0.118 | 0.000 | ||
| Variable7-152: | ||||
| Dependent variable: ln S-PMA (after shift): | ||||
| Constant7-153 | −0.671 | 0.555 | ||
| ln blood benzene | 0.293 | 0.102 | 0.038 | 0.005 |
| Smoke | 0.265 | 0.093 | 0.042 | 0.005 |
| Sex | −0.215 | 0.100 | 0.018 | 0.032 |
| Total | 0.098 | 0.000 | ||
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Stepwise regression analysis: for entry p=0.05.
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↵7-150 B=slope of the regression line.
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↵7-151 Variables considered: TWA benzene exposure, job (trafficv office police), smoking, sex, age.
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↵7-152 Variables considered: TWA benzene exposure, job, blood benzene, smoking, sex, age.
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↵7-153 Constant=estimated intercept value.









