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.
Model for Women CS & IS: the model predicting the probability of simultaneous CS & IS.
Model for Men HD, BS & CS: the model predicting the probability simultaneous HD, BS & CS.
Model 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.