Table 3.
Alcohol use as a predictor of baseline stress (n = 5983)
| Full model
|
||||
|---|---|---|---|---|
| b | SE | df | p value | |
| Fixed effects | ||||
| Intercept | −0.01 | 0.05 | 133 | 0.742 |
| Alcohol use | −0.18 | 0.06 | 5842 | 0.002** |
| Event-level covariates | ||||
| Time since smoked (min) | <0.01 | <0.01 | 5842 | 0.157 |
| Day (after 4 PM = reference group) | 0.07 | 0.02 | 137 | 0.773 |
| Person-level covariates | ||||
| Sex (female = reference group) | 0.01 | 0.03 | 133 | 0.854 |
| FTND score | <0.01 | 0.01 | 133 | 0.690 |
| Average baseline stress | 1.00 | 0.02 | 133 | <0.001** |
| Frequency of alcohol use | −0.04 | 0.16 | 133 | 0.817 |
Beta estimates are unstandardized. Number of drinking days (TLFB) is not included in model because it is highly correlated (r = 0.57) with the frequency of alcohol use variable (proportion of sessions which are preceded by drinking)
FTND Fagerström test for nicotine dependence
**
Denotes p values less than 0.01