Table 3.
Binomial logistic regression analysis with the dependent variable: repeat user status.
Independent variable | ORa (95% CI) | P valueb | |
Age (years) | 0.992 (0.991-0.994) | <.001 | |
Gender (reference=male) | |||
|
Female | 1.371 (1.305-1.441) | <.001 |
SEIFAc (reference=quintile 1) | |||
|
Quintile 2 | 0.932 (0.837-1.037) | .12 |
|
Quintile 3 | 1.087 (0.993-1.190) | .07 |
|
Quintile 4 | 1.243 (1.146-1.349) | <.001 |
|
Quintile 5 | 1.151 (1.070-1.239) | <.001 |
State (reference=NSWd) | |||
|
Australian Capital Territory | 0.696 (0.564-0.859) | .01 |
|
Victoria | 0.926 (0.859-0.999) | .048 |
|
Queensland | 0.968 (0.907-1.032) | .32 |
|
South Australia | 0.844 (0.751-0.949) | .01 |
|
Western Australia | 0.980 (0.892-1.076) | .67 |
|
Tasmania | 0.992 (0.814-1.209) | .94 |
|
Northern Territory | 0.609 (0.248-1.494) | .28 |
BMI (kg/m2) | 1.020 (1.015-1.024) | <.001 | |
High BPe (mm Hg; reference=no) | |||
|
Yes | 1.151 (1.070-1.239) | <.001 |
Smoking status (reference=nonsmoker) | |||
|
Smoker | 0.773 (0.718-0.831) | <.001 |
Diabetes status (reference=diabetic) | |||
|
Diabetic | 0.927 (0.823-1.045) | .22 |
aOR: odds ratio.
bP value was obtained from binomial logistic regression.
cSEIFA: socioeconomic indexes for areas.
dNSW: New South Wales.
eBP: blood pressure.