Table 5.
Results of linear mixed-effects models predicting total WEMWBS and global PSQI using an indicative subset of PROMs and actigraphy measures.
| Y | Variables | Model coef. | 95% CI | t-statistic | p-value |
|---|---|---|---|---|---|
| Total WEMWBS = f(PROMs + actigraphy) | (Intercept) | 47.498 | [23.614, 71.381] | 3.911 | < 0.001 |
| Gender_1 | − 0.798 | [− 2.591, 0.994] | − 0.876 | 0.382 | |
| Age | 0.059 | [− 0.360, 0.478] | 0.279 | 0.781 | |
| Day into study | − 0.001 | [− 0.006, 0.003] | − 0.626 | 0.532 | |
| Work sector: manufacturing | 1.567 | [− 2.486, 5.619] | 0.760 | 0.448 | |
| Work sector: social care | − 0.781 | [− 4.622, 3.061] | − 0.400 | 0.690 | |
| Work sector: finance | − 1.596 | [− 4.193, 1.001] | − 1.209 | 0.227 | |
| BJSQ 23: irritable | − 0.946 | [− 1.496, − 0.395] | − 3.376 | < 0.001 | |
| BJSQ 27: tense | − 0.813 | [− 1.437, − 0.189] | − 2.561 | 0.011 | |
| BJSQ 46: can’t sleep | − 0.310 | [− 0.861, 0.241] | − 1.105 | 0.270 | |
| WWQBI 1: stressed | − 0.230 | [− 0.705, 0.246] | − 0.95 | 0.343 | |
| WWQBI 10: work-life balance | 2.232 | [1.559, 2.904] | 6.526 | < 0.001 | |
| Sedentary minutes_m3 | − 0.871 | [− 1.399, − 0.344] | − 3.251 | 0.001 | |
| RA_m7 | 13.876 | [4.831, 22.920] | 3.017 | 0.003 | |
| IV1_m7 | 8.487 | [2.622, 14.351] | 2.846 | 0.005 | |
| Sleep duration_m7 | − 24.698 | [− 37.67, − 11.725] | − 3.744 | < 0.001 | |
| Sleep efficiency_m7 | − 1.176 | [− 2.387, 0.035] | − 1.91 | 0.057 | |
| Sleep onset phase_v7 | − 0.035 | [− 0.564, 0.493] | − 0.131 | 0.896 | |
| Awakenings total minutes_v7 | 1.052 | [− 0.035, 2.139] | 1.904 | 0.058 | |
| Sleep efficiency_v7 | − 4.357 | [− 6.733, − 1.980] | − 3.605 | < 0.001 | |
| Global PSQI = f(PROMs + actigraphy) | (Intercept) | 7.057 | [− 5.204, 19.318] | 1.132 | 0.258 |
| Gender_1 | 0.092 | [− 0.852, 1.036] | 0.192 | 0.848 | |
| Age | 0.002 | [− 0.213, 0.216] | 0.0150 | 0.988 | |
| Day into study | − 0.001 | [− 0.003, 0.002] | − 0.580 | 0.563 | |
| Work sector: manufacturing | 2.629 | [0.564, 4.695] | 2.504 | 0.013 | |
| Work sector: social care | − 1.177 | [− 3.197, 0.843] | − 1.147 | 0.252 | |
| Work sector: finance | − 1.337 | [− 2.691, 0.017] | − 1.942 | 0.053 | |
| BJSQ 1: much work | 0.354 | [0.022, 0.686] | 2.097 | 0.037 | |
| BJSQ 24: tired | − 0.164 | [− 0.448, 0.119] | − 1.14 | 0.255 | |
| BJSQ 27: tense | − 0.155 | [− 0.464, 0.154] | − 0.986 | 0.325 | |
| BJSQ 46: can’t sleep | 0.407 | [0.127, 0.686] | 2.865 | 0.004 | |
| WWQBI 1: stressed | − 0.277 | [− 0.508, − 0.045] | − 2.351 | 0.019 | |
| WWQBI 10: work-life balance | − 0.713 | [− 1.082, − 0.343] | − 3.796 | < 0.001 | |
| Awakenings total minutes_m3 | 0.111 | [− 0.077, 0.299] | 1.163 | 0.246 | |
| Sleep duration_m3 | − 0.0330 | [− 0.437, 0.371] | − 0.162 | 0.872 | |
| Sleep efficiency_m3 | − 0.368 | [− 0.605, − 0.131] | − 3.059 | 0.002 | |
| Sleep onset_phase_v3 | 0.290 | [0.098, 0.481] | 2.979 | 0.003 | |
| Sleep efficiency_v3 | − 0.0560 | [− 0.394, 0.281] | − 0.328 | 0.743 |
CI stands for Confidence Interval. See the subsection ‘Linear mixed-effects models’ in the “Methods” section for the generic mixed-effects model formula and further details. The actual variables used in the models are presented in the second column of the Table. Bold entries indicate statistical significance at the p = 0.05 level; for convenience we followed the convention that low computed p-values were marked as < .001. See the “Questionnaires_in_SHAW.xlsx” supplementary file for details of each item. The total WEMWBS lies in the range 14–70, higher being better; the global PSQI lies in the range 0–21, lower being better.