Table 6 Univariable and multivariable logistic regression models for the outcome variable of nasal discharge one hour before landing

Univariable logistic regression models

Air journey details

Journey season

Summer

Ref

0.021

Autumn

1.8 (0.9)

6.1 (1.0-38.4)

0.053

Spring

0.5 (1.0)

1.7 (0.2–12.5)

0.620

Winter

2.1 (0.9)

8.5 (1.6–46.0)

0.013

N° of horses in the cargo

- 

-0.1 (0.0) 

0.9 (0.9-1.0)

0.010

0.008

Horse details

Horse temperament profile

Good

Ref

<0.001 

Bad

1.7 (0.6)

5.3 (1.5–18.4)

0.009

Unknown

2.2 (0.6)

9.3 (2.9–29.4)

< 0.001 

Air transport practices

Jet stall location

At extremities

Ref

0.099

In between wings

0.8 (0.4)

2.2 (0.8–5.8)

0.102

Food type

Grass hay

Ref

0.032

Haylage

1.2 (0.5)

3.3 (1.1–10.1)

0.034

External environmental temperature at departure airport (°C)

- 

-0.6 × 10^− 1 (0.0)

0.9 (0.9-1.0)

0.003

0.002

Multivariable logistic regression model

Journey season

Summer

Ref

0.024

Winter

1.2 (0.8)

7.4 (1.5–36.4)

0.015

Spring

1.5 (1.0)

4.5 (0.6–34.2)

0.148

Autumn

2.7 (1.0)

14.7 (2.2–98.1)

0.006

Horse temperament profile

Good

Ref

<0.001

Bad

1.7 (0.6)

5.5 (1.6–18.6)

0.007

Unknown

2.5 (0.7)

12.5 (3.1–50.4)

< 0.001