Table 5.
Multivariable multinomial logistic regression analysis of distribution of answers to the structured interview.
| Question | Answers compared to the reference levela | Odds Ratio (95% CI) | p-value | |
|---|---|---|---|---|
| Q1 | Female vs. Male | Moderately | 1.73 (0.75–4.00) | 0.20 |
| Quite a bit/Extremely | 3.08 (1.26–7.52) | 0.01 | ||
| Comorbidity vs. No comorbidity | Moderately | 0.46 (0.19–1.10) | 0.08 | |
| Quite a bit/Extremely | 2.85 (0.83–9.76) | 0.10 | ||
| Previous surgery/pulmonary RT | Moderately | 1.29 (0.56–2.96) | 0.55 | |
| Quite a bit/Extremely | 3.75 (1.50–9.37) | <0.001 | ||
| Q2 | Female vs. Male | Moderately | 3.43 (1.51–7.79) | 0.003 |
| Quite a bit/Extremely | 3.42 (1.29–9.07) | 0.01 | ||
| Comorbidity vs. No comorbidity | Moderately | 0.98 (0.40–2.39) | 0.97 | |
| Quite a bit/Extremely | 4.51 (0.95–21.0) | 0.06 | ||
| Q3 | Comorbidity vs. No comorbidity | Moderately | 1.04 (0.40–2.79) | 0.94 |
| Quite a bit/Extremely | 1.52 (0.49–4.67) | 0.47 | ||
| Intravenousb vs. TKI | Moderately | 0.51 (0.19–1.38) | 0.18 | |
| Quite a bit/Extremely | 0.23 (0.08–0.68) | 0.008 | ||
| Months from cancer diagnosis: (3,12] vs. ≤ 3 | Moderately | 0.72 (0.18–2.91) | 0.64 | |
| Quite a bit/Extremely | 1.20 (0.11–13.7) | 0.88 | ||
| >12 vs. ≤3 | Moderately | 0.83 (0.23–3.03) | 0.78 | |
| Quite a bit/Extremely | 2.70 (0.29–24.8) | 0.38 | ||
| Q9 | Previous surgery/pulmonary RT | COVID-19 | 1.52 (0.61–3.81) | 0.37 |
| Both equally | 0.79 (0.29–2.17) | 0.64 | ||
| Intravenousb vs TKI | COVID-19 | 0.91 (0.36–2.30) | 0.84 | |
| Both equally | 2.93 (0.85–10.1) | 0.09 | ||
| Months from cancer diagnosis: (3,12] vs. ≤ 3 | COVID-19 | 4.43 (0.61–32.7) | 0.14 | |
| Both equally | 3.75 (0.92–15.2) | 0.06 | ||
| 12 vs. ≤3 | COVID-19 | 6.58 (1.08–40.1) | 0.04 | |
| Both equally | 1.53 (0.37–6.34) | 0.56 |
aReference levels are: not at all/a little for Q1, Q2, and Q3, Oncological disease for Q9; bIntravenous: CT,CT+IO, CT+RT, IO.
TKI, tyrosine kinase inhibitors; CT, chemotherapy; IO, immunotherapy; RT, radiotherapy.