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. 2024 Feb 28;19(1):2322753. doi: 10.1080/17482631.2024.2322753

Table 1.

Participants’ demographic characteristics.

  Number Percent
School professionals (n=15)
Participant sub-type
Leadership personnel 5 33
Health education teacher 5 33
School nurse 5 33
Gender
Female 10 67
Male 5 33
Age
20–30 years 2 13
31–40 years 3 20
41–50 years 2 13
51–60 years 5 33
61+ years 3 20
Ethnicity
Australian Anglo-Saxon 13 87
Other 1 7
Missing data 1 7
Home postcode SEIFA score
Quintile 1 – Most disadvantaged - -
Quintile 2 2 13
Quintile 3 3 20
Quintile 4 3 20
Quintile 5 – Most advantaged 7 47
School postcode SEIFA score
Quintile 1 – Most disadvantaged - -
Quintile 2 2 13
Quintile 3 1 7
Quintile 4 5 33
Quintile 5 – Most advantaged 7 47
Parents (n=12)    
Gender
Female 11 92
Male 1 8
Age
31–40 years 3 25
41–50 years 6 50
51–60 years 3 25
Ethnicity
Australian Anglo-Saxon 10 83
Other 2 17
Home postcode SEIFA score
Quintile 1 – Most disadvantaged 1 8
Quintile 2 1 8
Quintile 3 3 25
Quintile 4 3 25
Quintile 5 – Most advantaged 4 34
Children’s school postcode SEIFA score
Quintile 1 – Most disadvantaged 1 8
Quintile 2 1 8
Quintile 3 3 25
Quintile 4 4 34
Quintile 5 – Most advantaged 3 25
Young people (n=14)
Gender
Female 9 64
Male 5 36
Age
13–15 years 9 64
16–19 years 5 36
Vaping status
Ever-vaper 7 50
Never-vaper 7 50
Ethnicity
Australian Anglo-Saxon 12 86
Other 2 14
Home postcode SEIFA score
Quintile 1 – Most disadvantaged - -
Quintile 2 2 14
Quintile 3 - -
Quintile 4 6 43
Quintile 5 – Most advantaged 6 43
School postcode SEIFA score
Quintile 1 – Most disadvantaged 2 14
Quintile 2 1 7
Quintile 3 - -
Quintile 4 5 36
Quintile 5 – Most advantaged 6 43