Table 3 Linear regression model of relationship between SF-6D scores and respondent characteristics
Beta | 95% Confidence Intervals | t | p | r2 | ||
|---|---|---|---|---|---|---|
LCI | UCI | |||||
Gender | ||||||
Male | 0.00 | Reference | ||||
Female | -0.03 | −0.06 | −0.00 | −2.22 | 0.027 | |
Age (years) | ||||||
15 to 34 | 0.00 | Reference | ||||
35 to 44 | −0.05 | −0.08 | − 0.02 | −3.32 | 0.001 | |
45 to 54 | −0.09 | −0.14 | − 0.03 | − 3.34 | 0.001 | |
55 + | −0.08 | −0.14 | − 0.02 | −2.68 | 0.008 | |
Employment | ||||||
Under employed | 0.00 | Reference | ||||
Employed | 0.05 | 0.02 | 0.07 | 3.15 | 0.002 | |
Chronic health conditions | ||||||
0 conditions | 0.00 | Reference | ||||
1 or 2 conditions | −0.07 | −0.12 | −0.03 | −3.17 | 0.002 | |
3 + conditions | −0.14 | −0.19 | − 0.09 | −5.18 | < 0.001 | |
Constant | 0.82 | 0.80 | 0.85 | 71.94 | < 0.001 | |
Model fit (r2) | 0.346 | |||||