Table 2.
Logistic Regression Analysis: Prediction of Smoking Cessation From Wave 1 to Wave 2 Based on Wave 1 and Wave 2 Data (n = 62)
| Independent variables | Wave 1 predictors | Wave 2 predictors | ||
|---|---|---|---|---|
| Exp(b) | 95% confidence interval | Exp(b) | 95% confidence interval | |
| Demographics | ||||
| Age | 1.04 | 0.91–1.20 | 1.02 | 0.89–1.18 |
| Gender (female/ male) | ||||
| Male | 2.01 | 0.36–11.13 | 2.22 | 0.38–13.13 |
| Origin (Israel/ East/ West) | ||||
| East | 0.23 | 0.02–2.18 | 0.64 | 0.09–4.84 |
| West | 0.80 | 0.09–5.99 | 0.83 | 0.10–6.97 |
| Health and cognitive dysfunction | ||||
| Number of medications | 1.45* | 1.09–2.20 | 1.51* | 1.09–2.09 |
| Cognitive dysfunction | 1.22* | 1.04–1.44 | 1.16* | 1.02–1.32 |
| Well-being | ||||
| Loneliness | 0.58 | 0.26–1.26 | 0.42; P = .06 | 0.17- 1.03 |
Dependent variable: quit smoking from wave 1 to wave 2. Comorbidity, activities of daily living, instrumental activities daily living, and depressed affect were not included in the regression due to the lack of significant bivariate correlations.
*P two-tailed < .05.