Table 2.
Model 1 † | Model 2 † | Model 3 † | ||||
---|---|---|---|---|---|---|
Adjusted OR (95% CI) | p Value | Adjusted OR (95% CI) | p Value | Adjusted OR (95% CI) | p Value | |
Socio-economic factors | ||||||
Money left over at the end of month | ||||||
Not enough money | 3.83 (1.02, 14.43) | 0.047 | 4.62 (1.11, 19.32) | 0.036 | 3.32 (0.93, 11.79) | 0.064 |
Just enough money | 0.85 (0.13, 5.63) | 0.873 | 1.08 (0.16, 7.43) | 0.937 | 0.69 (0.12, 4.12) | 0.684 |
Some money | 1.00 | 1.00 | ||||
Housing conditions | ||||||
House in need of repairs | ||||||
Yes (major repair) | 4.47 (0.86, 23.14) | 0.074 | ||||
Yes (minor repair) | 5.72 (1.10, 29.73) | 0.038 | ||||
No (only regular maintenance) | 1.00 | |||||
In past 12 months, water or dampness in home | ||||||
Yes | 3.54 (1.02, 12.22) | 0.046 | ||||
No | 1.00 | |||||
Damage caused by dampness | ||||||
Yes | 2.79 (1.02, 7.65) | 0.046 | ||||
No | 1.00 |
† Results are presented as adjusted odds ratios (OR) and 95% confidence intervals (95% CI). Adjusted for age, sex, body mass index, smoking status, and variables in the table. Correlation between dampness and repair is 0.356 (Spearman’s rho), and correlation between damage caused by dampness and repair is 0.444 and moderately correlated. Correlation between dampness and damage caused by dampness is 0.612 and highly correlated.