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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\( \hat{\beta} \)CIp
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 mean1.03[−4.84, 6.88].727
  Last night0.70[−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 mean41.52[12.35, 70.69].006
  Last night10.54[5.99, 15.09]<.001
 Difficulty staying asleepc
  Person mean73.99[31.63, 116.35].001
  Last night18.73[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 night0.41[−1.45, 2.27].667
 Trouble falling asleep
  Person mean21.74[−10.51, 54.00].182
  Last night5.65[0.92, 10.39].019
 Difficulty staying asleep
  Person mean53.95[6.98, 100.93].025
  Last night16.61[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