Skip to main content
. 2018 Sep 20;1(1):13–25. doi: 10.3390/clockssleep1010003

Table 2.

Multivariable association between newly identified subjective daytime sleepiness and risk factors.

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.