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Table 1 Demographic characteristics and smoking status of whole sample (n = 330) and participants not consenting to provide a breath tests (n = 39)

From: Assessing smoking status in disadvantaged populations: is computer administered self report an accurate and acceptable measure?

  Validation sample
(n = 330)
Participants not consenting to breath test
(n = 39)
χ2
  N % N %  
Gender      
   Male 186 56 17 44 2 = 1.79, p = 0.18)
   Female 144 44 22 56  
Age      
   ≤ 29 years 45 14 5 13 2 = 1.64, df = 5, p = 0.90)
   30-39 years 85 26 10 26  
   40-49 years 96 29 10 26  
   50-59 years 67 20 11 28  
   60-69 years 21 6 2 5  
   70 + years 16 5 1 3  
Aboriginal or Torres Strait Islander      
   Yes 39 12 3 8 2 = 0.51, p = 0.47)
   No 291 88 36 92  
Marital status      
   Never married/single 178 54 22 56 2 = 0.36, df = 4, p = 0.46)
   Married 24 7 5 13  
   De facto/living with partner 26 8 1 3  
   Divorced/separated 80 24 10 26  
   Widowed 22 7 1 3  
Highest level of education      
   Primary school 10 3 1 3 2 = 1.62, df = 4, p = 0.8)
   High school years 7-10 157 48 15 38  
   High school years 11-12 58 17 7 18  
   TAFE 56 17 8 21  
   University Degree 49 15 8 21  
Income      
   < $200 53 16 5 13 2 = 7.4, df = 5, p = 0.19)
   $200-$300 124 38 10 26  
   $300-$400 83 25 12 31  
   $400-$500 31 9 2 5  
   < $500 19 6 6 15  
   Prefer not to answer 20 6 4 10  
Employment     2 = 6.8, df = 7, p = 0.45)
   Full time 4 1 0 0  
   Part time/casual 25 8 0 0  
   Unemployed 162 49 19 49  
   Student 15 5 3 8  
   Unable to work 15 5 7 18  
   Home duties 36 11 3 8  
   Retired 38 12 3 8  
   Other 35 11 4 10  
Smoking Status      
   Daily 181 55 17 44 2 = 1.9, df = 3, p = 0.6)
   Occasional- weekly 13 4 2 5  
   Occasional- monthly 11 3 2 5  
   Non-smoker 125 38 18 46  
  1. * Note: not all percentages add to 100% due to rounding