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Table 2 Demographic characteristics of participants

From: Describing socioeconomic gradients in children’s diets – does the socioeconomic indicator used matter?

  All (n = 628) Boys (n = 275) Girls (n = 353)
Child age (years) 11.3 (0.90) 11.4 (0.89) 11.3 (0.90)
School grade (%)    
  Grade 5 26.2 26.6 26.0
  Grade 6 39.9 38.3 41.2
  Grade 7 33.9 35.0 32.8
Parent age (years) 42.1 (5.54) 42.3 (5.30) 42.0 (5.70)
Marital status (%)    
  Partner 78.2 76.2 79.9
  No partner 21.8 23.8 20.1
Mother’s education levela (%)    
  Never attended school 0.2 0.0 0.3
  Some high school 22.9 22.3 23.4
  Completed high school 19.1 18.2 19.8
  Trade or diploma 26.9 24.5 28.5
  University degree 19.2 22.3 16.9
  Higher University degree 11.8 12.8 11.0
Gross household incomebc (%)    
  Low 33.9 31.9 35.2
  Mid 37.4 39.2 36.1
  High 28.7 28.8 28.6
SEIFAd (%)    
  Low 33.5 31.8 35.0
  Mid 31.8 32.8 30.8
  High 34.7 35.4 34.2
Mother’s occupatione, f (%)    
  Managers 7.0 5.9 7.8
  Professionals 22.5 24.8 20.8
  Technicians and trades 4.4 4.8 4.0
  Community and personal service 11.5 12.2 11.0
  Clerical and administrative 21.6 20.7 22.0
  Sales 4.7 6.7 3.2
  Machinery operators and drivers 0.3 0.4 0.3
  Labourers 4.9 5.9 4.0
  Not in the labour force 21.2 17.4 24.3
Mother’s employment (%)    
  Not in the labour force 21.7 17.6 24.9
  Employed 78.3 82.4 75.1
  1. Data reported as percentage (%) where indicated, or as mean (standard deviation).
  2. aEducation level measured on an 8-point scale (never attended school – higher university degree) – no participants recorded for responses ‘completed some primary school’ and ‘completed primary school’ so these are not reported in table.
  3. bGross household income reported in Australian Dollars per annum, for all people in the household before tax, including all wages, salary, pensions and allowances. Low income < $60,000 AUD per annum, mid income = $60,001-$100,000 AUD per annum, high income > $100,000 AUD per annum.
  4. cn = 36 missing responses for income; participants responses ‘refused to answer’ or ‘unsure’.
  5. dSEIFA = Socioeconomic Index for Areas, area-level measure of SES using determined for postal code.
  6. eMother’s occupation coded into eight categories according to Australian and New Zealand Standard Classification of Occupations (ANZSCO). Additional category created for not in the labour force = individuals engaged in full-time home duties, retired persons, unemployed and students.
  7. fn = 12 missing responses for mother’s occupation; participants did not provide sufficient information to enable accurate coding of occupation.