Table 3.
Logistic regression regarding nicotine use
| OR | 95% CI for OR |
p value | ||
|---|---|---|---|---|
| lower | upper | |||
| Age, years | 0.988 | 0.978 | 0.999 | 0.027 |
| Current living situation | <0.001 | |||
| Living with partner and/or child | Ref. | − | ||
| Living alone | 2.159 | 1.587 | 2.938 | <0.001 |
| Living with others | 1.081 | 0.739 | 1.580 | 0.690 |
| Educational background | 0.015 | |||
| Higher education | Ref. | − | ||
| Primary education | 1.114 | 0.258 | 4.817 | 0.885 |
| Vocational education | 2.085 | 1.025 | 4.240 | 0.042 |
| Secondary education | 1.312 | 0.944 | 1.823 | 0.106 |
| Doctorate | 0.245 | 0.077 | 0.777 | 0.017 |
| Do you work more at home now? | 0.018 | |||
| Yes, with tele-work | Ref. | |||
| Yes, due to technical unemployment | 1.638 | 1.125 | 2.386 | 0.010 |
| Yes, due to illness | 1.431 | 0.758 | 2.702 | 0.269 |
| Yes, due to illness related to COVID-19 | 1.069 | 0.413 | 2.766 | 0.890 |
| No | 0.820 | 0.598 | 1.123 | 0.260 |
Logistic regression explaining relationships to why respondents smoke more cigarettes during the lockdown compared to before. In total, 264 respondents out of 3,632 (7.3%) noted they smoked more during the lockdown compared to before.