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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 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)

 
  1. aDisagreement is defined as: Strongly disagree, Disagree, or Neither agree nor disagree