Table 3. Multivariate logistical regression analyses in the subgroups divided by menstrual status.
Variable | Menopausal | Premenopausal | ||||
OR (95% CI ) | P value | OR (95% CI ) | P value | |||
Abbreviation: OR=Odds ratio; CI=Confidence interval; CNY=Chinese Yuan. | ||||||
Age | 1.033 (1.018, 1.048) | <0.001 | 0.988 (0.974, 1.002) | 0.092 | ||
Depression | 0.145 (0.020, 1.036) | 0.054 | 1.507 (1.010, 2.249) | 0.045 | ||
Sleep satisfaction | 1.192 (1.024, 1.388) | 0.024 | 1.162 (1.029, 1.311) | 0.015 | ||
Average monthly income (CNY) | 1.088 (0.925, 1.281) | 0.310 | 0.834 (0.724, 0.961) | 0.012 | ||
Social status | 1.033 (0.832, 1.283) | 0.767 | 1.014 (0.832, 1.236) | 0.891 | ||
Education | ||||||
Primary school and below | Reference | 1.000 | reference | 1.000 | ||
Junior/senior high school/technical school | 1.132 (0.848, 1.510) | 0.399 | 1.192 (0.935, 1.520) | 0.157 | ||
Junior college and above | 0.757 (0.368, 1.556) | 0.488 | 1.795 (0.556, 5.791) | 0.328 | ||
Sleep duration | ||||||
7–9 h | Reference | 1.000 | reference | 1.000 | ||
<7 h | 1.322 (0.956, 1.828) | 0.091 | 1.237 (0.956, 1.600) | 0.106 | ||
≥9 h | 1.135 (0.763, 1.688) | 0.531 | 1.230 (0.896, 1.689) | 0.201 |