Table 1. Participant characteristics, stratified by age group.
| 19–30 years | 31–50 years | 51–70 years | 71 + years | 1p value | |
|---|---|---|---|---|---|
| n | 1523 | 2345 | 1792 | 666 | — |
| BMI (kg/m2)2 | 24.8 ± 4.8 | 26.9 ± 5.0 | 28.2 ± 5.1 | 27.2 ± 4.7 | <0.001 |
| Under weight (%) | 3.5 | 1.1 | 1.2 | 1.5 | <0.001 |
| Normal weight (%) | 55.8 | 37.7 | 26.9 | 30.0 | |
| Overweight (%) | 29.0 | 38.8 | 40.5 | 45.1 | |
| Obese (%) | 11.7 | 22.4 | 31.4 | 23.3 | |
| Male (%) | 56.0 | 52.7 | 51.3 | 46.4 | 0.006 |
| Living in urban area (%) | 79.1 | 72.8 | 63.7 | 69.7 | <0.001 |
| Proportion in the highest SEIFA quintile (%) | 23.3 | 25.3 | 22.5 | 19.2 | 0.013 |
| Proportion in the highest decile of household income (%)3 | 10.6 | 14.8 | 12.7 | 2.8 | <0.001 |
| Born in Australia (%) | 70.5 | 68.0 | 68.3 | 71.8 | 0.135 |
Values were presented as mean ± SD for continuous variables and as percentages for categorical variables. Data were weighted to account for over- or under-sampling to enable representation of the general Australian population, and the n reported in the table represent the weighted sample. SEIFA - Socio-Economic Indexes for Areas, a measure of socioeconomic status defined by the Australian Bureau of Statistics, where a higher SEIFA indicate socio-economic advantage46.
1p values represent p for trend across age groups tested by linear regression for continuous variables, and for categorical variables the p values were tested by χ2 test.
2n = 1522, 2340, 1787, 649 respectively due to missing data.
3n = 1184, 2227, 1649, 598 respectively due to missing data.