TABLE 2.

Bivariate 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
Financial ability
• Comfortable, with some extras	0.19	0.37	0.93	0.35
• Enough	0.01		0.71
• Have to cut back	−0.08		0.91
Beliefs about eating related to job experience
• Eating fast food is often my only choice when I am working	−0.32	0.01	−1.07	<.0001
• Because of my work, I don’t have time to eat right	−0.32	0.02	−0.91	<.0001
• I often eat junk food because I am tired and stressed from work	−0.52	0.0005	−0.88	<.0002
• Because of my work it is especially important that I eat right	0.69	0.0003	0.76	0.01
Interpersonal factors
Has one or more children under age 18 in the house	−0.18	0.14	−0.05	0.79
Responsibility for cooking or shopping
• most or all	0.39	0.04	−0.29	0.02
• about half	0.20		0.54
Organizational factors
Works day shift	−0.14	0.58	0.05	0.83
Hours worked	−0.01	0.86	−0.01	0.06
Job strain	0.07	0.70	−0.01	0.96
Sociodemographic characteristics
Age	0.007	0.25	0.02	0.20
Married or with partner	−0.08	0.59	0.38	0.16
Education – some college or post high school training	0.21	0.11	0.33	0.14
Race/ethnicity – white	−0.51	<.0001	−0.75	−0.009
Income
• <$15,000	−0.83	0.007
• $15,000–$49,000	−0.65
• $50,000–$74,00	−0.59
• <$40,000			−0.88	0.0027
• $40,000–$59,000			−0.97
• $60,000–$79,000			−0.37

¹The 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