TABLE 3.
Multivariable associations of variables with fruit and vegetable consumption in study samples from Tools for Health (n=1013) and Gear Up for Health (n=542)
| Worker Characteristic | Tools for Health | Gear Up for Health | ||
|---|---|---|---|---|
| CONSTRUCTION LABORERS | MOTOR FREIGHT WORKERS | |||
| Slope1 | P-value | Slope1 | P-value | |
| Individual factors | ||||
| Beliefs about eating related to job experience | ||||
| • Eating fast food is often my only choice when I am working | −0.19 | 0.15 | −0.65 | 0.005 |
| • Because of my work, I don’t have time to eat right | −0.08 | 0.59 | −0.49 | 0.03 |
| • I often eat junk food because I am tired and stressed from work | −0.42 | 0.01 | −0.31 | 0.22 |
| • Because of my work it is especially important that I eat right | 0.51 | 0.01 | 0.64 | 0.03 |
| Sociodemographic characteristics | ||||
| Race/ethnicity – white | −0.63 | <.0001 | −0.57 | 0.045 |
| Income | ||||
| • <$15,000 | −0.94 | 0.0006 | ||
| • $15,000–$49,000 | −0.79 | |||
| • $50,000–$74,00 | −0.66 | |||
| • <$40,000 | −0.81 | 0.0057 | ||
| • $40,000–$59,000 | −0.94 | |||
| • $60,000–$79,000 | −0.34 | |||
1
The slope coefficient represents differences in mean fruit and vegetable consumption per unit change in the independent variable. For categorical variables, it represents the mean difference between each category and the reference category