Table 4.
Sleep health |
||
---|---|---|
Predictor variable | β | P value |
Entered in Step 1 | ||
Man vs woman or nonbinary/trans | −0.005 | .685 |
Age | 0.118 | <.001 |
Country income classification | 0.057 | <.001 |
Partnered vs not partnered | 0.079 | <.001 |
Employed vs unemployed | 0.031 | .017 |
Dependent <18 years old in home vs not | 0.006 | .714 |
Entered in Step 2 | ||
Currently have symptoms of this disease but have not been tested | −0.027 | .027 |
Tested and currently have this disease | −0.013 | .310 |
Had symptoms of this disease but never tested | 0.010 | .434 |
Tested positive for this disease but no longer have it | 0.014 | .292 |
Got medical treatment due to severe symptoms of this disease | −0.023 | .065 |
Hospital stay due to this disease | 0.013 | .322 |
Someone died of this disease while in our home | 0.012 | .309 |
Death of close friend or family member from this disease | −0.017 | .150 |
Entered in Step 3 | ||
Quarantine level | −0.043 | .001 |
Entered in Step 4 | ||
Laid off from job or had to close own business | −0.060 | <.001 |
Reduced work hours or furloughed | −0.020 | .105 |
Had to continue to work even though in close contact with people who might be infected | −0.006 | .633 |
Provided direct care to people with the disease | −0.036 | .004 |
Increase in workload or work responsibilities | −0.012 | .345 |
Hard time doing job well because of needing to take care of people in the home | −0.023 | .079 |
Hard time making the transition to working from home | −0.050 | <.001 |
Unable to get enough food or healthy food | −0.092 | <.001 |
Unable to pay important bills like rent or utilities | −0.046 | <.001 |
Had a child in home who could not go to school | 0.013 | .400 |
Increase in verbal arguments or conflict with other adult(s) in home | −0.143 | <.001 |
Separated from family or close friends | −0.029 | .020 |
Events/celebrations cancelled or restricted | 0.013 | .292 |
Because correlations and linear regressions require variables to be continuous or dichotomous, women and the small group of nonbinary/trans individuals were combined in order to compare the connections between the primary study variables and these 2 gender groups relative to men.