Table 2.
GEE model of the association between mobile phone ownership and alcohol use over time.
| Predictor | Odds Ratio (95 % c.i.) | Coefficient (95 % c.i.) | Std Err |
|---|---|---|---|
|
| |||
| Age | 1.38 (1.27, 1.49) | 0.32 (0.24, 0.40) | 0.06 |
| Biological sex | 0.91 (0.82, 1.01) | −0.10 (−0.20, 0.01) | 0.05 |
| Household income | 1.00 (1.00, 1.00) | 0.00 (−0.01, 0.01) | <0.01 |
| Racial/ethnic background | |||
| Black or African American | 0.24 (0.19, 0.31) | −1.41 (−1.66, −1.17) | 0.03 |
| Hispanic or Latino | 0.53 (0.45, 0.62) | −0.64 (−0.79, −0.49) | 0.04 |
| Asian | 0.37 (0.23, 0.60) | −0.99 (−1.48, −0.51) | 0.09 |
| Other | 0.72 (0.61, 0.86) | −0.32 (−0.50, −0.15) | 0.07 |
| Time | 0.91 (0.87, 0.96) | −0.09 (−0.14, −0.04) | 0.02 |
| Mobile phone ownership | 1.34 (1.18, 1.51) | 0.29 (0.16, 0.41) | |
Note: c.i. = confidence interval; biological sex was coded as 0 = male, 1 = female; racial/ethnic background was coded as a categorical variable with non-Hispanic white as the reference category.