Table 1.
Participant characteristics by sample
| Pre (N = 189) | Post (N = 157) | Paired (N = 135) | |
|---|---|---|---|
|
Age M ± SD Missing# |
40.4 ± 9.95 1 |
39.3 ± 9.82 1 |
40.1 ± 9.77 1 |
| Male n(%) | 92 (48.7%) | 73 (46.5%) | 65 (48.1%) |
| Female n(%) | 97(51.3%) | 84 (53.5%) | 70 (51.9%) |
| Consultants n(%) | 95 (50.3%) | 71 (45.2%) | 68 (50.4%) |
| Trainees n(%) | 94 (49.7%) | 86 (54.8%) | 67 (49.6%) |
| Surgery n(%) | 115(60.8%) | 97(61.8%) | 76 (56.3%) |
| OB/GYN n(%) | 74(39.2%) | 60 (38.2%) | 59 (43.7%) |
|
Avg. sleep M ± SD Missing# |
6.82 ± .72 17 |
6.76 ± .70 12 |
6.80 ± .72 11 |
|
Avg. work M ± SD Missing# |
50.5 ± 8.72 29 |
50.3 ± 8.08 23 |
49.4 ± 7.89 20 |
ANOVA and χ2 for showed no significant differences in demographics between the samples (all p-values > .05). M = mean, SD = standard deviation
#Participants with missing data in demographics or descriptive variables are represented in the total N presented in this table