Sentence examples for variables were categorised as from inspiring English sources

Other variables were categorised as appear in Table  1.

The latter variables were categorised as none, 1 course and ≥2 courses/training.

The independent variables were categorised as having correct knowledge or not.

These variables were categorised as: 0-1; 2-3; 4 or more.

Missing values for specific variables were categorised as 'unknown' and were included in the analyses.

Results of all investigated variables were categorised as low risk, medium risk and high risk, based on the literature or expert opinion, and presented in a spider-plot.

Data on this variable were categorised as ≤ 1 year, 1 5 years, 5 10 years, and > 10 years.

Using this cut-point, mean weekly values for each weather variable were categorised as follows: temperature: ≥1SD=Warm, <1SD=Cold; precipitation: ≥1SD=Wet, <1SD=Dry; speed of maximum wind gust: ≥1SD=Windy, <1SD=Calm.

Additionally, for the ANOVA the fire variable was categorised as burned (≤500 m from a hotspot; i.e. the area within a fire polygon), and non-burned areas (>500 m from a hotspot, i.e. the area outside a fire polygon) (see Appendix S9, in Additional file 1).

The variable was categorised as either Fair/poor vs Good/very good/excellent.

Previous work experience described the participant's most recent experience of trauma and the variable was categorised as no experience of trauma, most recent experience of trauma <1 year ago and most recent experience of trauma ≥1 year ago.