Table 3. Multiple logistic regression analysis for predicting patterns of multiple lifestyle risk behaviors.

	Model
	Women CS & ISa	Men HD, BS & CSb	Men IS, CS, BS & PIc
Age
20–44	1	1	1
45–64	0.3 (0.2, 0.5)	0.4 (0.2, 0.7)	0.5 (0.4, 0.8)
65+	0.3 (0.1, 0.5)	0.0 (0.0, 0.1)	0.1 (0.0, 0.2)
Marital status
Married	1	1	1
Separated/divorced/widowed	2.6 (1.8, 3.9)	2.0 (1.0, 4.0)	1.8 (1.0, 3.4)
Never married	2.4 (1.5, 3.7)	1.2 (0.7, 2.0)	1.8 (1.2, 2.7)
Education
College	1	1	1
High school	2.5 (1.5, 4.3)	1.3 (0.7, 2.2)	1.0 (0.7, 1.5)
Middle school	4.7 (2.2, 10.2)	1.6 (0.7, 3.9)	1.1 (0.6, 2.2)
None or elementary school	4.6 (2.0, 10.6)	1.2 (0.5, 3.4)	0.9 (0.4, 2.0)
Occupation
Office worker	1	1	1
Manual worker	1.4 (0.9, 2.3)	1.0 (0.6, 1.7)	0.8 (0.5, 1.2)
Unemployed	1.2 (0.8, 1.9)	0.7 (0.4, 1.3)	0.6 (0.3, 1.1)
Income
1st quartile	1	1	1
2nd quartile	1.0 (0.7, 1.6)	1.5 (0.9, 2.6)	1.2 (0.8, 1.9)
3rd quartile	1.5 (1.0, 2.3)	1.5 (0.8, 2.7)	1.4 (0.9, 2.2)
4th quartile	1.5 (0.9, 2.3)	1.3 (0.6, 2.7)	1.8 (1.1, 3.2)
Perceived stress
No	1	1	1
Yes	2.1 (1.6, 2.9)	1.5 (1.0, 2.2)	1.8 (1.3, 2.5)
Self rated health
Good/Fair	1	1	1
Bad	1.1 (0.8, 1.6)	1.9 (1.2, 3.1)	1.1 (0.7, 1.7)
Chronic disease
No	1	1	1
Yes	1.4 (0.9, 2.1)	1.1 (0.7, 1.6)	0.8 (0.6, 1.1)

Logistic regression models were constructed with survey logistic procedure using survey sample weights.

^aModel for Women CS & IS: the model predicting the probability of simultaneous CS & IS.

^bModel for Men HD, BS & CS: the model predicting the probability simultaneous HD, BS & CS.

^cModel for Men IS, CS, BS & PI: the model predicting the probability of simultaneous IS, CS, BS & PI.

CS: current smoking; HD: heavy drinking; PI: physical inactivity; OB: obesity; IS: inadequate sleep; BS: breakfast skipping; FS: frequent snacking.