Table 4.
Longitudinal Analysis Results comparing pandemic period, March 15 to May 30, in 2020 to pre-pandemic period, March 15 to May 30, in 2015–2019. For responses SLEEP_1,2,3 the effects are odds ratios, and for the rest responses the effects are linear in the log scale.
| Post-pandemic to Pre-pandemic comparison for HC | Post-pandemic to Pre-pandemic comparison for BP | SEX | AGE60 | |
|---|---|---|---|---|
| PHQ-913 | 0.3346 (p<0.0001) | 0.0489 (p = 0.1512) | −0.0715 (p = 0.3059) | −0.1190 (p = 0.1046) |
| GAD-714 | 0.3975 (p<0.0001) | 0.0365 (p = 0.3246) | −0.0876 (p = 0.2544) | −0.2722 (p = 0.0006) |
| SLEEP_1 | 6.0761 (p = 0.0002) | 1.4556 (p = 0.0104) | 0.7769 (p = 0.2744) | 0.8373 (p = 0.4558) |
| SLEEP_2 | 1.3844 (p = 0.3892) | 0.9738 (p = 0.8725) | 0.9343 (p = 0.7435) | 0.6996 (p = 0.0954) |
| SLEEP_3 | 2.4854 (p = 0.0106) | 0.9672 (p = 0.8191) | 1.2195 (p = 0.3240) | 0.7944 (p = 0.2906) |
| SLEEP_4 | −0.0039 (p = 0.9750) | 0.2725 (p = 0.0198) | 0.1834 (p = 0.2450) | 0.3830 (p = 0.0129) |
13
A log transformation is applied: Y = log(PHQ+1).
14
A log transformation is applied: Y = log(GAD+1).