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. 2016 Sep 5;16(1):932. doi: 10.1186/s12889-016-3608-6

Table 1.

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

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

Countries of birth of respondents comprising >5 % of region sample

Oceania: New Zealand, Fiji, Papua New Guinea

North-West Europe: United Kingdom, Netherlands, Germany

Southern & Eastern Europe: Italy, Poland, Croatia, Federal Republic of Yugoslavia, Romania, Former Yugoslav Republic of Macedonia

North Africa & Middle East: Lebanon, Egypt, Turkey, Iraq, Iran

South-East Asia: Philippines, Vietnam, Malaysia, Indonesia

North-East Asia: China, Hong Kong, Japan, Taiwan

Southern & Central Asia: India, Sri Lanka, Nepal, Bangladesh, Pakistan

Americas: USA, Canada, Chile, Colombia

Sub-Saharan Africa: South Africa, Mauritius, Zimbabwe

Abbreviations: BMI body mass index, Owt overweight, SD standard deviation