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Table 8 Multivariate logistic regression models with gender and school as predictors for each outcome

From: Medical, nursing, and physician assistant student knowledge and attitudes toward climate change, pollution, and resource conservation in health care

Multivariate logistic regression models with gender and school as predictor variables
Outcome variablePredictor variableOdds 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
Female2.35 (1.27, 4.34) 
Male1.00 (ref) 
School 0.043
Medical0.30 (0.12, 0.77) 
Nursing0.38 (0.13, 1.11) 
Physician Assistant1.00 (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
Female0.39 (0.21, 0.71) 
Male1.00 (ref) 
School 0.20
Medical1.72 (0.77, 3.84) 
Nursing0.93 (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
Female0.55 (0.28, 1.07) 
Male1.00 (ref) 
School 0.018
Medical4.96 (1.44, 17.04) 
Nursing2.29 (0.55, 9.57) 
Physician Assistant1.00 (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
Female0.45 (0.18, 1.16) 
Male1.00 (ref) 
School 0.62
Medical2.14 (0.46, 9.91) 
Nursing2.00 (0.34, 11.73) 
Physician Assistant1.00 (ref) 
  1. aDisagreement is defined as: Strongly disagree, Disagree, or Neither agree nor disagree