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. 2020 Oct 21;11:576316. doi: 10.3389/fpsyg.2020.576316

Table 2.

Baseline characteristics for poor and good sleepers.

Poor sleepers
(n = 43)
Good sleepers
(n = 18)
Sleep duration (hours) 6.4 (1.2)** 7.9 (1.2)
Sleep efficiency (%) 72.8 (13.8)** 91.0 (13.8)
Global PSQI score 9.1 (3.0)** 2.6 (3.0)
Subjective sleep quality 1.3 (0.6)** 0.3 (0.6)
Sleep latency 1.6 (0.9)** 0.2 (0.9)
Sleep duration 1.2 (0.8)** 0.1 (0.8)
Habitual sleep efficiency 1.5 (1.1)** 0.2 (1.1)
Sleep disturbances 1.8 (0.4)** 1.1 (0.4)
Use of sleeping medication 0.8 (1.1) 0.3 (1.1)
Daytime dysfunction 0.9 (0.6)* 0.5 (0.6)
Predicted VO2 peak (ml/kg/min) 22.1 (6.3) 24.6 (6.3)
BMI (kg/m2) 27.9 (4.7) 29.0 (4.8)
PSS 14.8 (5.2)* 11.1 (5.3)
MoCA 25.8 (2.8) 26.2 (2.9)
*

p < 0.050;

**

p < 0.010.

Data are presented as mean (SD). ANCOVAs revealed that poor sleepers had significantly lower global sleep quality score than good sleepers (p < 0.001), as well as significantly shorter sleep duration (hours), worse sleep efficiency, and scored higher on six of seven PSQI component scores, including subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances (all p < 0.001), and daytime dysfunction (p = 0.024). Poor sleepers also reported significantly higher perceived stress than good sleepers (p = 0.017), but did not differ on use of sleeping medication, VO2 peak, BMI, or MoCA (all p > 0.050). Sleep variables are adjusted for age, sex, and BMI. Predicted VO2 peak, BMI, PSS, and MoCA are adjusted for age and sex. BMI, Body Mass Index; MoCA, Montreal Cognitive Assessment; PSQI, Pittsburgh Sleep Quality Index; PSS, Perceived Stress Scale.