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. 2020 Jun 26;22(6):e14977. doi: 10.2196/14977

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.