Table 1.
Sample characteristics.
| Participant Characteristics | n (%) | |
|---|---|---|
| Gender | Male | 87 (46) |
| Female | 102 (54) | |
| Age (years) | 18–24 | 105 (56) |
| 25–30 | 84 (44) | |
| Socio-economic Status 1 | High (>50th percentile) | 121 (65) |
| Low (≤50th percentile) | 64 (35) | |
| Highest Education Attained | Secondary school or less 2 | 66 (35) |
| University degree, trade or diploma qualification | 123 (65) | |
| Country Born | Australia | 127 (67) |
| Other/prefer not to say | 62 (33) | |
| Geographic Location 3 | Sydney | 125 (66) |
| Outer Sydney | 48 (26) | |
| Regional | 15 (8) | |
| BMI (kg/m2) | Under and normal weight (≤24.99) | 120 (63) |
| Overweight (25–29.99) | 47 (25) | |
| Obese (≥30) | 22 (12) | |
| Misreporting 4 | Low energy reporters | 28 (15) |
| Plausible reporters | 155 (82) | |
| Over-reporters | 6 (3) | |
1 Socio-economic status (SES) assessed using residential postcode to assign the index of relative socio-economic advantage and disadvantage centile employed within Australia, lowest five deciles = lower, highest five deciles = higher [19]. Four participant’s postcodes did not have an assigned decile. 2 Includes participants studying. 3 Assessed by the Accessibility Remoteness Index of Australia [20]. One participant with missing data. 4 Low energy reporters are participants with an energy intake: basal metabolic rate of ≤1.00, over-reporters ≥2.4 [23].