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Table 2 Predicting Next Day’s PTSS by Previous Night’s Sleep Characteristics

From: Post traumatic stress symptom variation associated with sleep characteristics

Sleep characteristics

\( \hat{\beta} \)

CI

p

Univariate sleep characteristicsa

 Sleep duration

  Person mean

−7.10

[−14.59, 0.390]

.063

  Last nightb

−1.45

[−2.18, −0.73]

<.001

 Number of awakenings

  Person mean

1.03

[−4.84, 6.88]

.727

  Last night

0.70

[−0.07, 1.47]

.073

 Sleep quality

  Person mean

−18.98

[−42.34, 4.38]

.109

  Last night

−2.82

[−4.42, −1.23]

<.001

 Trouble falling asleep

  Person mean

41.52

[12.35, 70.69]

.006

  Last night

10.54

[5.99, 15.09]

<.001

 Difficulty staying asleepc

  Person mean

73.99

[31.63, 116.35]

.001

  Last night

18.73

[13.68, 23.78]

<.001

Multivariate sleep characteristicsd

 Sleep duration

  Person mean

−2.28

[−9.96, 5.41]

.555

  Last night

−0.93

[−1.73, −0.12]

.024

 Sleep quality

  Person mean

−6.91

[−29.72, 15.91]

.546

  Last night

0.41

[−1.45, 2.27]

.667

 Trouble falling asleep

  Person mean

21.74

[−10.51, 54.00]

.182

  Last night

5.65

[0.92, 10.39]

.019

 Difficulty staying asleep

  Person mean

53.95

[6.98, 100.93]

.025

  Last night

16.61

[11.16, 22.06]

<.001

  1. Note. aSingle variable analysis adjusted for demographic covariates. bThe partitioned last night variable was created as the difference between the person mean and the last night. cRandom slope was tested for each sleep characteristic and there was a significant random slope of difficulty staying asleep, and the corresponding fixed effects (person mean \( \hat{\beta} \) = 71. 34, p = .001, and last night \( \hat{\beta} \) = 17.69, p < .001) were similar to the model without the random slope. dPerson mean and last night variables of sleep quality were not statistically significant and were removed from the final model. The model included sleep duration, trouble falling asleep, difficulty staying asleep, and demographic covariates