Table 2.
Indicators 1 | Low SES Household | Medium SES Household | Low vs. Medium SES Household (p-Value) 5 |
---|---|---|---|
4-person reference household in the lowest quintile of SES position | 4-person reference household in the middle quintile of SES position | ||
Male (31–50 y) | |||
n | 281 | 324 | |
Age (years) | 40.1 (5.8) | 40.8 (5.9) | 0.142 |
BMI 2 | 0.248 | ||
Underweight, n (%) | 2 (0.8%) | 2 (0.7%) | |
Normal, n (%) | 78 (32.0.%) | 72 (25.2%) | |
Overweight, n (%) | 99 (40.6%) | 139 (48.6%) | |
Obese, n (%) | 65 (26.6%) | 73 (25.5%) | |
Female (31–50 y) | |||
n | 301 | 408 | |
Age (years) | 40.2 (5.6) | 40.1 (5.6) | 0.814 |
BMI 2 | 0.009 | ||
Underweight, n (%) | 5 (2.0%) | 1 (0.3%) | |
Normal, n (%) | 89 (35.2%) | 143 (42.6%) | |
Overweight, n (%) | 65 (25.7%) | 101 (30.0%) | |
Obese, n (%) | 94 (37.1%) | 91 (27.1%) | |
Male (9–13 y) | |||
n | 73 | 86 | |
Age (years) | 10.9 (1.4) | 10.9 (1.5) | 1.000 |
BMI 2 | 0.219 | ||
Underweight, n (%) | 3 (4.6%) | 6 (8.7%) | |
Normal, n (%) | 37 (56.9%) | 46 (66.7%) | |
Overweight, n (%) | 17 (26.2%) | 14 (20.3%) | |
Obese, n (%) | 8 (12.3%) | 3 (4.3%) | |
Female (4–8 y) | |||
n | 74 | 73 | |
Age (years) | 5.9 (1.4) | 5.7 (1.4) | 0.610 |
BMI 2 | 0.270 | ||
Underweight, n (%) | 5 (9.1%) | 1 (1.7%) | |
Normal, n (%) | 40 (72.7%) | 44 (75.9%) | |
Overweight, n (%) | 6 (10.9%) | 10 (17.2%) | |
Obese, n (%) | 4 (7.3%) | 3 (5.2%) | |
SES data | |||
IRSAD quintile | 1 | 3 | |
Equivalized disposable income (AUD) 3 | AUD 399/week | AUD 902/week | |
Adjusted household income (AUD) 4 | AUD 798/week | AUD 1804/week |
IRSAD, Index of Relative Socioeconomic Advantage and Disadvantage; SES, socioeconomic status. 1 Data are mean (SD) unless otherwise indicated. 2 BMI data and categories were taken directly from the NNPAS microdata. 3 Sourced from the 2017–2018 Australian Survey of Income and Housing [38]. 4 Equivalized disposable income (2017–2018) multiplied by the OECD adjustment factor of 2 (for a household of 4) [11]. 5 For statistical significance, p < 0.005; p-values derived using two sample t-tests for continuous data and the chi-squared statistic for categorical data.