Table 5.
Associations between specific barriers to smoking cessation and covariates among respondents who indicated a preference for lifestyle changes
| Total sample of smokers N |
Have tried before n (%) |
Partner still smokes n (%) |
||
|---|---|---|---|---|
| Total | 216 | 105 (48.6) | 29 (13.4) | |
| Gender | Male | 115 | 56 (48.7) p = 0.992 | 13 (11.3) p = 0.318 |
| Female | 101 | 49 (48.5) | 16 (15.8) | |
| Age group | 40–44 | 47 | 28 (59.6) p = 0.051 | 5 (10.6) p = 0.360 |
| 45–49 | 53 | 26 (49.1) | 7 (13.2) | |
| 50–54 | 53 | 26 (49.1) | 6 (11.3) | |
| 55–60 | 63 | 25 (39.7) | 11 (17.5) | |
| Health status | Good/very good | 115 | 60 (52.2) p = 0.560* | 11 (9.6) p = 0.183* |
| Fair | 83 | 34 (41.0) | 16 (19.3) | |
| Poor/very poor | 18 | 11 (61.1) | 2 (11.1) | |
| BMI | <25 | 89 | 42 (47.2) p = 0.949 | 13 (14.6) p = 0.744* |
| 25–29 | 72 | 38 (52.1) | 9 (12.3) | |
| +30 | 45 | 20 (44.4) | 6 (13.3) | |
| Physical activity | Low | 84 | 41 (48.8) p = 0.835 | 12 (14.3) p = 0.839 |
| High | 132 | 64 (48.5) | 17 (12.9) | |
| Household income | Low | 82 | 37 (45.1) p = 0.892* | 12 (14.6) p = 0.904* |
| Medium | 66 | 34 (51.5) | 8 (12.1) | |
| High | 44 | 20 (45.5) | 7 (15.9) | |
| Educational attainment | Low | 65 | 38 (58.5) p = 0.154* | 9 (13.8) p = 0.623* |
| Medium | 130 | 58 (44.6) | 18 (13.8) | |
| High | 20 | 9 (45.0) | 2 (10.0) | |
| In work force | No | 35 | 17 (48.6) p = 0.732 | 2 (5.7) p = 0.105 |
| Yes | 181 | 88 (48.6) | 27 (14.9) |
All p-values are from multiple logistic regression analyses adjusted for gender and age
*- p-value for trend
aNumbers (n) and percentages (%) correspond to the number of patients and proportions (in percent) of patients in the row-category who experienced the given barrier. Note that not all participants experienced a barrier within the theme, and that participants were allowed to select more than one barrier within the theme