Table S2.
Univariate |
Multivariate |
||
---|---|---|---|
P value | Covariate P value | Status P value | |
Hot flash frequency | 0.0081 | 0.12 | 0.030 |
Overall health | 0.028 | 0.043 | 0.0033 |
SSRI use | 0.039 | 0.050 | 0.0025 |
BMI | 0.045 | 0.053 | 0.0029 |
BP meds in past 2 wks | 0.072 | 0.14 | 0.0034 |
Caffeinated drinks per day | 0.095 | 0.20 | 0.0086 |
Upset by workload | 0.10 | 0.21 | 0.0089 |
Race/ethnicity-site | 0.13 | 0.12 | 0.0018 |
How hard to provide basics | 0.14 | 0.12 | 0.0013 |
Quality of life | 0.16 | 0.15 | 0.0019 |
Body pain | 0.18 | 0.052 | 0.0023 |
Social support | 0.18 | 0.14 | 0.0016 |
Nap duration | 0.19 | 0.30 | 0.0049 |
IDS | 0.35 | 0.48 | 0.0029 |
Log AHI | 0.70 | 0.71 | 0.0026 |
Age | 0.85 | 0.38 | 0.0021 |
Univariate analysis examined the relation of beta to each covariate alone. Bivariate analysis examined the relation of beta to menopausal status with each covariate controlled and to each covariate with menopausal status controlled. Comparing “Status P” to the one-way ANOVA status P-value of 0.0020 for NREM shows that the only measureable change in these P-values came from adding “hot flash frequency.”