Sentence examples for mean sleep quality from inspiring English sources

Potential confounders were explored, including age, sex, BMI, SES, mean sleep quality of the night preceding the sampling day, number of undesirable life events in the preceding year and awakening time when baseline cortisol sample was taken.

A repeated measures ANOVA was conducted to assess possible change in mean sleep quality over time, and effect size was calculated as eta squared statistics.

Mean sleep quality scores were poorer than population norms at all time points.

Figure 1 illustrates mean global sleep quality scores across the time points, with higher scores indicating poorer sleep quality.

The mean Pittsburgh Sleep Quality Index score was 8.4 (SD ± 4.2) indicating a 71.2% prevalence of sleep disturbance.

Baseline mean (SD) sleep quality data obtained via the PSQI and SDSC were 7.47 (2.43) and 53.4 (9.0) respectively and were values indicative of poor sleep quality [ 30, 31].

Consequently, the mean Global Sleep Quality Score for the study population is 10.6, which is more than 2.0 points from the >8 score and much higher than the score of 5 that identifies poor sleep quality in cancer-free individuals (Carpenter and Andrykowski, 1998) (Table 3).

Indeed, the mean level of sleep quality in the total sample is high, relative to the general population prevalence figures.

Patients' mean self-reported sleep quality was poor.

Analysis of variance (ANOVA) procedures were used to assess mean differences in sleep quality, stress, and depression and anxiety scores according to number of years at university.

Specifically, standardized effect sizes were computed as the difference between least squares mean changes in Sleep Quality scores in the pregabalin and placebo groups divided by the standard deviation of Sleep Quality scores across all patients at baseline.