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Table 7 Univariable and multivariable logistic regression models for the outcome variable of increased capillary refill time one hour before landing

From: Analysis of current methods and Welfare concerns in the transport of 118 horses by commercial air cargo companies

Independent variable

Category

Beta (SE)

OR (95% CI)

Wald test P value

Log-likelihood test P value

Univariable logistic regression models

Air journey details

Stops

Yes

 

Ref

 

< 0.001

No

2.8 (0.8)

16.0 (3.3–78.2)

< 0.001

N° of horses in the cargo

- 

0.1 (0.0)

1.1 (1.0-1.1)

0.015

0.013

Flight duration (h)

-

-0.4 (0.1)

0.7 (0.6–0.8)

< 0.001

< 0.001

Horse details

Horse experience in road travel

Travel regularly

 

Ref

 

0.083

Few trips

-0.1(0.7)

0.8 (0.2–3.5)

0.829

Unknown

1.0 (0.6)

2.8 (0.8–9.5)

0.087

 

Air transport practices

Quarantine

Yes

 

Ref

 

<0.001

No

2.9 (0.6)

17.8 (5.9–53.9)

< 0.001

Horse tying

Tied long or untied

 

Ref

 

<0.001

Tied short

2.2 (0.5)

8.7 (2.9–25.6)

< 0.001

Multivariable logistic regression model

Flight duration (h)

-

-0.4 (0.1)

0.7 (0.6–0.8)

< 0.001

< 0.001

Horse experience in road travel

Travel regularly

 

Ref

 

0.043

Few trips

0.9 (0.7)

2.4 (0.6–9.8)

0.226

Unknown

1.5 (0.6)

4.3 (1.3–13.7)

0.014

  1. Significant P values (i.e., P value < 0.05) are shown in bold