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Table 1 Socio-demographic and bodyweight characteristics of men and women: ethnicity and bodyweight analytic sample (n = 13 047)

From: Ethnic differences in overweight and obesity and the influence of acculturation on immigrant bodyweight: evidence from a national sample of Australian adults

  Men
(n = 6 216, 47.6 %)
27.1 (5.0) Mean BMI (SD)
65.2%Owt/Obese
Women
(n = 6 831, 52.4 %) 26.6 (6.3) Mean BMI (SD)
52.8%Owt/Obese
  % Mean BMI (SD) %Owt/Obese % Mean BMI (SD) %Owt/Obese
Country of birth
 Australian born 76.5 27.1 (4.9) 65.3 77.4 26.8 (6.4) 54.2
 Oceania (excluding Australia) 3.3 28.3 (5.5) 71.6 2.6 27.0 (5.7) 58.5
 North-West Europe 9.5 26.9 (4.4) 67.3 8.4 26.6 (5.9) 53.1
 Southern & Eastern Europe 2.6 27.7 (4.3) 74.7 2.5 27.5 (5.7) 64.5
 North Africa & The Middle East 1.0 28.8 (8.5) 68.8 0.7 28.0 (6.2) 62.2
 South-East Asia 1.7 26.3 (5.6) 53.3 2.7 24.7 (6.2) 35.3
 North-East Asia 1.1 25.2 (5.7) 39.4 1.8 21.5 (3.0) 11.6
 Southern & Central Asia 1.9 25.7 (6.1) 51.7 1.6 25.0 (6.4) 42.6
 Americas 1.1 28.2 (5.5) 71.4 1.4 25.3 (6.3) 43.3
 Sub-Saharan Africa 1.2 26.0 (3.5) 58.9 1.0 24.5 (5.1) 35.7
Age
 18–24 years 13.2 24.8 (4.7) 40.3 12.4 23.7 (5.2) 26.7
 25–34 years 14.4 26.4 (4.5) 58.8 13.8 25.4 (6.3) 41.8
 35–44 years 16.8 27.6 (5.1) 68.3 17.7 27.2 (6.6) 55.1
 45–54 years 20.3 27.8 (4.9) 73.3 19.7 27.2 (6.5) 56.1
 55–64 years 16.6 28.3 (5.2) 74.2 17.3 28.0 (6.3) 63.5
 65–74 years 11.4 27.5 (4.8) 72.3 11.0 27.8 (6.0) 64.4
  > 75 years 7.2 26.2 (4.4) 61.3 8.1 26.1 (5.5) 54.7
Remoteness
 Major City 63.4 26.9 (4.9) 63.3 63.8 26.3 (6.2) 50.0
 Inner Regional Australia 24.1 27.3 (5.0) 67.4 24.7 27.1 (6.2) 57.3
 Outer Regional Australia 10.9 27.6 (5.3) 69.4 9.9 27.6 (7.0) 58.6
 Remote and Very Remote Australia 1.6 28.5 (4.6) 78.6 1.6 27.5 (6.4) 57.8
Highest attained education level
 Bachelor + 23.5 26.7 (4.6) 63.5 26.1 25.6 (5.6) 45.4
 Diploma 9.4 27.3 (4.5) 68.0 9.5 26.4 (6.4) 51.2
 Certificate (trade/business) 28.6 27.7 (4.9) 71.2 16.2 27.3 (6.5) 57.7
 School - Year 12 and below 38.4 26.9 (5.3) 61.0 48.2 27.0 (6.5) 55.4
Occupation
 Managers and professionals 27.7 27.1 (4.3) 68.3 23 26.0 (5.6) 47.1
 White Collar 13.6 27.0 (5.2) 60.7 30.8 26.3 (6.3) 50.2
 Blue Collar 29.8 27.2 (4.9) 65.1 6.9 26.8 (6.8) 52.1
 Unemp/Not in Labour Force 28.8 27.0 (5.4) 64.4 39.3 27.2 (6.6) 58.2
Household Income
  > $130,000 k per annum 19.4 27.0 (4.6) 64.4 17.2 25.5 (5.6) 44.5
 $72,800–$129,999 35.6 27.2 (4.8) 67.5 32.9 26.4 (5.9) 50.9
 $52,000–$72,799 17.1 26.8 (4.9) 63.2 16.0 27.2 (6.6) 55.8
 $41,600–$51,999 8.2 27.2 (5.1) 65.4 8.0 27.3 (7.1) 53.4
 $26,000–$41,599 11.9 27.0 (5.6) 63.4 13.4 27.3 (6.5) 58.7
 $0–$25,999 7.8 27.0 (5.6) 63.4 12.5 27.0 (6.7) 58.1
Neighbourhood Disadvantage
 Quintile 5 (least disadvantage) 22.0 26.4 (4.0) 61.4 21.2 25.4 (5.6) 44.3
 Quintile 4 22.1 26.8 (4.7) 63.8 22.2 26.3 (5.8) 51.4
 Quintile 3 19.5 27.5 (5.3) 68.2 20.1 26.7 (6.3) 54.2
 Quintile 2 18.9 27.5 (5.2) 68.3 19.3 27.0 (6.4) 54.9
 Quintile 1 (most disadvantage) 17.5 27.4 (5.7) 64.9 17.2 28.0 (7.2) 60.8
  1. Countries of birth of respondents comprising >5 % of region sample
  2. Oceania: New Zealand, Fiji, Papua New Guinea
  3. North-West Europe: United Kingdom, Netherlands, Germany
  4. Southern & Eastern Europe: Italy, Poland, Croatia, Federal Republic of Yugoslavia, Romania, Former Yugoslav Republic of Macedonia
  5. North Africa & Middle East: Lebanon, Egypt, Turkey, Iraq, Iran
  6. South-East Asia: Philippines, Vietnam, Malaysia, Indonesia
  7. North-East Asia: China, Hong Kong, Japan, Taiwan
  8. Southern & Central Asia: India, Sri Lanka, Nepal, Bangladesh, Pakistan
  9. Americas: USA, Canada, Chile, Colombia
  10. Sub-Saharan Africa: South Africa, Mauritius, Zimbabwe
  11. Abbreviations: BMI body mass index, Owt overweight, SD standard deviation
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