Table 3.
Multiple regression predicting sleep problem from Medical Outcomes Scales by current symptoms, and COVID-19-related grief, worry, and PTSD overall and by pre-existing mental health diagnosis.a.
Predictor | Total (N = 898) |
No Pre-existing Diagnosis (n = 499) |
Pre-existing Diagnosis (n = 399) |
|||
---|---|---|---|---|---|---|
Standardized coefficients |
Standardized coefficients |
Standardized coefficients |
||||
β | ΔR2 | β | ΔR2 | β | ΔR2 | |
Model 1 | 0.020∗∗∗ | 0.001 | -0.001 | |||
Age | 0.001 | 0.000 | 0.023 | |||
Race (ref = white) | ||||||
Asian | 0.024 | 0.006 | 0.057 | |||
Black | 0.020 | 0.028 | 0.016 | |||
Hispanic or Latinx | 0.030 | 0.010 | 0.068† | |||
Mixed | −0.005 | −0.007 | 0.007 | |||
Other race | 0.004 | 0.004 | 0.003 | |||
Gender (ref = man) | ||||||
Women | −0.014 | −0.023 | −0.008 | |||
Men (transgender) | −0.009 | 0.060† | −0.045 | |||
Women (transgender) | −0.018 | – | −0.036 | |||
Self-identify | −0.029 | −0.029 | −0.046 | |||
Income (ref = no income) | ||||||
< $25,000 | 0.005 | 0.012 | 0.008 | |||
$25,000-$49,999 | 0.072† | 0.041 | 0.114 | |||
$50,000-$74,999 | 0.009 | −0.006 | 0.015 | |||
$75,000-$99,999 | 0.018 | 0.019 | −0.002 | |||
$100,000-$124,999 | −0.028 | −0.050 | −0.025 | |||
$125,000-$149,999 | −0.043† | −0.001 | −0.076† | |||
$150,000-$174,999 | 0.064∗∗ | 0.060 | 0.069† | |||
$175,000-$199,999 | 0.026 | 0.033 | – | |||
$200,000-$249,999 | 0.011 | 0.047 | −0.020 | |||
≥$250,000 | −0.016 | – | −0.025 | |||
Student (ref = no) | −0.019 | −0.051 | −0.005 | |||
Model 2 | 0.118∗∗∗ | |||||
Pre-existing diagnosis (ref = no) | 0.109∗∗∗ | – | – | |||
Model 3 | 0.441∗∗∗ | 0.351∗∗∗ | 0.382∗∗∗ | |||
Depression symptoms | 0.401∗∗∗ | 0.393∗∗∗ | 0.392∗∗∗ | |||
Anxiety symptoms | 0.061† | 0.120∗ | 0.026 | |||
COVID-19-related worry | 0.127∗∗∗ | 0.107∗ | 0.163∗∗∗ | |||
COVID-19-related grief | −0.011 | −0.043 | 0.044 | |||
PTSD | 0.160∗∗∗ | 0.112† | 0.177∗∗ |
†p < 0.1, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.
Adjusted covariates include age, race, gender, income, student status.