Table 8.
Multivariate logistic regression models with gender and school as predictors for each outcome
| Multivariate logistic regression models with gender and school as predictor variables | |||
|---|---|---|---|
| Outcome variable | Predictor variable | Odds ratio (95% CI) | p-value |
|
Disagreementawith statement:It is important to understand this issue [pollution, climate change, and health], but it isn’t pertinent to patient care. (n = 252) |
Gender | 0.0064 | |
| Female | 2.35 (1.27, 4.34) | ||
| Male | 1.00 (ref) | ||
| School | 0.043 | ||
| Medical | 0.30 (0.12, 0.77) | ||
| Nursing | 0.38 (0.13, 1.11) | ||
| Physician Assistant | 1.00 (ref) | ||
|
Disagreementawith statement: It is important to understand this issue [pollution, climate change, and health], so I can help my patients (n = 252). |
Gender | 0.002 | |
| Female | 0.39 (0.21, 0.71) | ||
| Male | 1.00 (ref) | ||
| School | 0.20 | ||
| Medical | 1.72 (0.77, 3.84) | ||
| Nursing | 0.93 (0.34, 2.53) | ||
| Physician Assistant | |||
|
Disagreementawith statement:It is important to understand this issue [pollution, climate change, and health] because physicians/nurses/physician assistants have an important role to play in educating patients and the public about the impacts of pollution and climate change on health. (n = 252) |
Gender | 0.078 | |
| Female | 0.55 (0.28, 1.07) | ||
| Male | 1.00 (ref) | ||
| School | 0.018 | ||
| Medical | 4.96 (1.44, 17.04) | ||
| Nursing | 2.29 (0.55, 9.57) | ||
| Physician Assistant | 1.00 (ref) | ||
|
Disagreementawith statement:Physicians and health professionals have a responsibility to conserve resources and prevent pollution within their professional practice. (n = 252) |
Gender | 0.10 | |
| Female | 0.45 (0.18, 1.16) | ||
| Male | 1.00 (ref) | ||
| School | 0.62 | ||
| Medical | 2.14 (0.46, 9.91) | ||
| Nursing | 2.00 (0.34, 11.73) | ||
| Physician Assistant | 1.00 (ref) | ||
aDisagreement is defined as: Strongly disagree, Disagree, or Neither agree nor disagree