Table 3.
Logistic regression model of being not in the labour force
| Parameter | Estimate | Standard Error | P-Value |
|---|---|---|---|
| Intercept | −2.49 | 0.16 | < 0.001 |
| Male | 0.97 | 0.35 | < 0.001 |
| Aged 25–44 | 0.35 | 0.03 | < 0.001 |
| Tertiary education attainment | 0.70 | 0.04 | < 0.001 |
| Lives in major city | 0.04 | 0.04 | 0.2255 |
| No LTHC | −1.68 | 0.14 | < 0.001 |
| Any other LTHC | −0.81 | 0.14 | < 0.001 |
| Odds of being out of the labour force | |||
| Odds Ratioa | 95% CI | P-value | |
| Cancer | Reference | ||
| No LTHC | 0.19 | 0.14–0.25 | < 0.001 |
| Any other LTHC | 0.45 | 0.34–0.58 | < 0.001 |
LTHC long-term health condition
aadjusted OR = adjusted for age, sex, educational attainment, and rurality