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. 2011 Jun 4;2011:936298. doi: 10.4061/2011/936298

Table 5.

Multivariate analysis (linear regression) of the possible predictors (sociodemographic, clinical variables and context) of sleep-wake patterns with total sleep time, number of wakes, wake in percent, and minutes sleep at daytime as dependent variables (standardized beta, N = 106).

Total sleep time (TST) Wakes Wake % of TST Daytime sleep
β P β P β P β P
Step 1. Sociodemographic
 Age 0.19 .18 0.15 .30 −0.03 .85 −0.02 .99
 Sex (men as ref.) 0.21 .047 −0.13 .21 −0.11 .31 0.11 .31
 Education (low, high) 0.05 .60 0.03 .77 −0.02 .88 0.03 .75
 Paired relationship (paired as ref.) −0.09 .41 −0.12 .24 −0.06 .56 0.08 .44
 Work (paid work as ref.) −0.05 .74 0.04 .78 0.01 .96 0.07 .60

 Explained variance (R2) 7.2% 5.7% 0.7% 3.6%

Step 2. Clinical
 Physical functioning (SF-36–PF) 0.02 .89 −0.06 .56 −0.08 .47 −0.08 .49
 Sedatives 0.00 .99 −0.01 .95 0.14 .19 −0.08 .47
 Time since admission (days) 0.05 .63 −0.05 .64 −0.11 .30 0.19 .08

 Explained variance (R2) 7.5% 7.3% 4.3% 8.5%
R2 change 0.3% 1.6% 3.7% 4.9%

Step 3. Context
 Slept at home all nights
 (hospital as ref.)
0.10 .38 −0.32 .007 −0.21 .09 −0.02 .84
 Slept both at hospital and home
  (hospital as ref.)
0.13 .25 −0.10 .39 −0.06 .58 −0.07 .56

 Explained variance (R2) 8.9% 14.3% 7.2% 8.9%
R2 change 1.4% 7.0% 2.9% 0.3%