Table 3.
Spearman correlation analysis among potential explanatory factors.
| Variables | Min | Max | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gendera | 1 | 2 | 1 | |||||||
| 2. Ageb | 1 | 6 | −0.10 | 1 | ||||||
| 3. Educationc | 1 | 5 | 0.21h | −0.34h | 1 | |||||
| 4. Marital statusd | 1 | 2 | 0.25 | 0.18 | 0.19 | 1 | ||||
| 5. Long-term illnessese | 1 | 2 | 0.14 | 0.36i | −0.24 | 0.11 | 1 | |||
| 6. Self-reported healthf | 1 | 5 | 0.12 | 0.20i | 0.31 | 0.09 | −0.58i | 1 | ||
| 7. Perceived income | 1 | 3 | 0.18 | 0.28h | 0.21h | 0.10 | −0.15 | 0.23 | 1 | |
| 8. General health literacyg | 1 | 4 | 0.20h | −0.22i | 0.52i | 0.13 | 0.40i | 0.38i | 0.35i | 1 |
a
1 = male and 2 = female.
b
1 = 18–24 years and 6 = ≥65 years.
c
1 = literate and 5 = master or higher degree.
d
1 = married and 2 = non-married.
e
1 = yes and 2 = no.
f
1 = very bad and 5 = very good.
g
1 = very difficult and 4 = very easy.
h
Correlation is significant at <0.05 level (two tailed).
i
Correlation is significant at <0.01 level (two tailed).