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. 2018 Feb 13;9:134. doi: 10.3389/fpsyg.2018.00134

Table 5.

Linear mixed model analyses investigating the long-term effect of pain treatment on sleep outcomes (n = 106).

Sleep outcomes Treatment effect Pre-post sleep; mean (SD)
Active Placebo
TST (min) C -2.52 515.2 (139.3) – 538.5 (142.4) 509.9 (113.6) – 498.3 (146.8)
p 0.90
SE (%) C -0.78 70.0 (15.0) – 73.0 (15.3) 70.0 (13.1) – 68.5 (18.2)
p 0.76
SOL (min) C 5.68 33.0 (37.3) – 31.3 (43.0) 47.0 (44.5) – 52.2 (63.5)
p 0.61
WASO (min) C -7.27 134.5 (66.4) – 116.9 (51.7) 140.6 (68.3) – 133.7 (69.8)
p 0.58
EMA (min) C 11.73 48.9 (60.4) – 44.4 (54.9) 30.7 (38.9) – 42.8 (45.5)
p 0.22
NoW (no) C -0.38 30.3 (12.5) – 28.1 (11.5) 31.2 (11.6) – 30.7 (11.0)
p 0.90
DTS (min) C 26.27 191.7 (124.0) – 206.2 (130.3) 215.8 (104.2) – 254.5 (106.5)
p 0.15

The table reports linear mixed model analyses for the following outcome variables: TST, total sleep time; SE, sleep efficiency; SOL, sleep onset latency; WASO, wake after sleep onset; EMA, early morning awakening; NoW, number of wake bouts; DTS, daytime total sleep time. The column “Treatment effect” reports the interaction effect between treatment and time, i.e., the main result of the clinical trial, with baseline as the reference time point. C refers to coefficients and p refers to p-values. The column “Pre-post sleep; mean (SD)” reports descriptive sleep characteristics for the active and placebo groups from baseline to week 13, with standard deviations in parentheses.