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. 2021 Jan 26;7(2):134–142. doi: 10.1016/j.sleh.2020.12.008

Table 4.

Sleep health multiple regression with standardized B-weights from the final model that included 4 steps

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.