Table 6.
Logistic regression models for relationships between personal characteristics and responses that were significant according to the Bonferroni-corrected Fisher’s exact test. Each model is bivariate, with one predictor variable and one outcome variable
| Logistic regression models for significant associations according to the Bonferroni-corrected Fisher’s exact test | |||
|---|---|---|---|
| Outcome variable | Predictor variable | Odds ratio (95% CI) | p-value |
| Disagreementawith statement:There is strong evidence that use of single-use disposable medical devices meaningfully reduces infection risk. |
Age (n = 254) |
0.0003 | |
| 18–24 | 0.35 (0.20, 0.63) | ||
| ≥25 | 1.00 (ref) | ||
| Disagreementawith statement:It is important to understand this issue [pollution, climate change, and health], but it isn’t pertinent to patient care. |
Gender (n = 252) |
0.0004 | |
| Female | 2.72 (1.55, 4.75) | ||
| Male | 1.00 (ref) | ||
| Disagreementawith statement: It is important to understand this issue [pollution, climate change, and health], so I can help my patients. |
Gender (n = 252) |
< 0.0001 | |
| Female | 0.31 (0.18, 0.55) | ||
| Male | 1.00 (ref) | ||
|
Year in Med School (n = 162) |
0.093 | ||
| 1 | 0.71 (0.24, 2.14) | ||
| 2 | 1.57 (0.53, 4.65) | ||
| 3 | 1.64 (0.50, 5.31) | ||
| 4 | 2.46 (0.87, 6.97) | ||
| 5 (research year) | 1.00 (ref) | ||
aDisagreement is defined as: Strongly disagree, Disagree, or Neither agree nor disagree