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. 2023 Aug 21;21:68. doi: 10.1186/s12960-023-00855-z

Table 4.

Demographics and night shift circumstances per profiles

Pre-shift (N = 189) 1. Indifferent (N = 35) 2. Ready (N = 90) 3. Engaged (N = 64)
Age M ± SD 39.5 ± 9.56 38.5 ± 9.573 43.7 ± 9.982
Male n(%) 12 (34.3%) 43 (47.8%) 37 (57.8%)
Female n(%) 23 (65.7%) 47 (52.2%) 27 (42.2%)
Consultants n(%) 17 (48.6%) 34 (37.8%)3 44 (68.8%)2
Trainees n(%) 18 (51.4%) 56 (62.2%)3 20 (31.3%)2
Surgery n(%) 21 (60.0%) 58 (64.4%) 36 (56.3%)
OB/GYN n(%) 14 (40.0%) 32 (35.6%) 28 (43.8%)
Avg. sleep M ± SD 6.76 ± .66 6.87 ± .70 6.79 ± .77
Avg. work M ± SD 49.2 ± 6.77 50.4 ± 8.96 51.3 ± 9.29
Hrs. awake 9.73 ± 4.17 9.14 ± 4.44 9.60 ± 3.83
Hrs. worked 4.80 ± 4.73 3.89 ± 4.723 6.06 ± 4.852
Nmbr. cons shifts M ± SD 1.69 ± 1.35 2.17 ± 1.87 1.62 ± 1.45
Post-shift (N = 157) 1. Lethargic (N = 14) 2. Tired but satisfied (N = 91) 3. Excited (N = 11) 4. Mindful (N = 41)
Age M ± SD 39.0 ± 9.63 36.4 ± 7.824 33.6 ± 5.044 47.2 ± 10.52,3
Male n(%) 5 (35.7%) 37 (40.7%)4 3 (27.3%) 28 (68.3%)2
Female 9 (64.3%) 54 (59.3%)4 8 (72.7%) 13 (31.7%)2
Consultants n(%) 7 (50.0%) 29 (31.9%)4 1 (9.09%)4 34 (82.9%)2,3
Trainees n(%) 7 (50.0%) 62 (68.1%)4 10 (90.9%)4 7 (17.1%)2,3
Surgery n(%) 10 (71.4%) 51 (55.6%) 7 (63.6%) 29 (70.7%)
OB/GYN n(%) 4 (28.6%) 40 (44.4%) 4 (36.4%) 12 (29.3%)
Avg. sleep M ± SD 6.77 ± .53 6.80 ± .66 6.47 ± .71 6.75 ± .83
Avg. work M ± SD 50.5 ± 8.43 49.3 ± 8.24 48.9 ± 7.56 52.9 ± 7.45
(Pre)Hrs. awake M ± SD 8.85 ± 4.26 8.78 ± 4.22 7.20 ± 4.66 9.58 ± 3.87
(Pre)Hrs. worked M ± SD 4.54 ± 5.00 3.28 ± 4.644 .60 ± 1.344 7.36 ± 4.002,3
Nmbr. cons shifts M ± SD 2.60 ± 2.41 2.30 ± 1.844 2.80 ± 1.93 1.23 ± .772
Duration shift M ± SD* 15.4 ± 6.26 13.4 ± 5.154 12.0 ± 2.75 16.2 ± 5.462
Hrs. sleep M ± SD 2.75 ± 2.80 1.83 ± 2.074 2.10 ± 2.284 4.83 ± 2.332,3
Hrs. awake M ± SD 9.10 ± 8.91 10.9 ± 7.934 11.0 ± 9.06 5.20 ± 7.602
% Activity M ± SD
 Telephone 12.3% ± 11.0 17.6% ± 18.3 24.2% ± 24.0 12.5% ± 17.5
 OR 17.0% ± 30.2 11.2% ± 17.6 16.7% ± 29.4 16.8% ± 23.3
 ER 28.5% ± 28.5 43.1% ± 29.44 40.2% ± 25.5 17.9% ± 23.12
 Rest 42.2% ± 33.4 28.1% ± 28.84 18.9% ± 26.34 52.9% ± 35.02,3

Each superscript indicates the profile number from which differences are significant at p < .05. * p = .51. Pre-shift missings on demographic variables are: Age (n = 1), Avg. Sleep (n = 17), Avg. Work (n = 29), Nmbr. Consecutive shifts (n = 6), Hrs. awake (n = 6), Hrs. worked (n = 4). Post-shift missings on demographic variables are: Age (n = 1), Duration shift (n = 18), Nmbr. Consecutive shifts (n = 18), Hrs. sleep (n = 18), Hrs. awake (n = 18), Telephone (n = 18), OR (n = 18), ER (n = 18), Rest (n = 18)